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9,902 | https://devpost.com/software/aceso-the-first-feasible-sarscov2-test-trace-network | Track your Virus tests & trace statistics.
Have conversations with a personal AI driven health assistant.
Scan the QR code in order to activate the digital Health ID.
As a government, test lab or other official entity, participate in the network and create automated policies with smart contracts
The Problem.
It is generally known that extensive and widespread testing as well as contact tracing to identify infection chains is crucial for overcoming the SARSCov2 pandemic and gradually returning to normality.
Currently, however, even though the testing itself is not that complicated, the logistics around testing and investigation (infection tracing) of positively tested patients requires Lots of effort and man-hours and goes beyond the borders of available capacities. The related processes are just not automated and digitized. As a consequence, lots of infections are not reflected in statistics making it extremely difficult to cope with the virus as well as spread and isolate it, lockdowns are inevitable in order to stay beyond the intensive care capacity borders.
For contact tracing, the EU has decided to follow the track of controversial software architectures and apps like PEPP-PT, or now "the decentralized" approach DP3T, which cause not only privacy issues but also don't deliver any direct value-add to the users. Another issue is, that tracking without integrated, optimized and automated end2end test rollout management still leads to data lacking behind the real time state and an inefficient value chain.
To sum up, it still lacks a feasible end2end test management and contact tracing platform, connecting governmental institutions, test labs, healthcare facilities and citizens in order to automate the prioritized rollout of test and trace back infection chains after positive test results, without significantly attacking the personality rights of citizens.
How we solve it.
We leverage the properties of the blockchain technology, artificial intelligence and state of the art cryptography to provide an end2end SARSCov2 testing and tracing network.
But how does this work?
The solution consists of three parts:
a permissioned blockchain network for governing test rollouts / logistics and access to personal data in case of infections
a dashboard for government, testing labs and healthcare facilities
a unique Health assistant and "passport"-type health id for citizens in form of a mobile app.
Additionally personal data is encrypted with a hash and stored off-chain in a decentralized cloud-database whilst solely a smart contract contains the key in order to decrypt and display the data to responsible entities in case of infections and direct contact to infected persons.
ACESO Healthpass
Each citizen is provided by the government with a unique digital Health ID which he maintains in an interactive app keeping an anonymized log of relevant events, for instance nearby contact with another person or visiting a public location, for instance a supermarket. Additionally citizens have other value added services like conversations with a chatbot (assistant), or seeing the current load of people on public places. The healthpass collects all the logs anonymously mapped to the non-personal blockchain health pass id and warns the citizen if he behaves too risky , like for instance having lots of contact with other people.
Sensors used for Contact Tracing
Instead of deploying expensive gateways, we believe there is already a mass of options available. For the purpose of not tracking personal data we do not use GPS sensors, but rather diverse options available on public places.
For people to people tracking our app leverages bluetooth technology and available WiFi Networks to register check-ins at public places.
Additionally, at public places, so called sound beacons can be used by registering a signal through the public speakers (for example in supermarkets), we also currently train a neural network, using IBMs Watson Studio, in order to identify different public places based on sound recognition.
As we want to be an open source solution, we want to offer a plug and play sensor interface for easily incorporating additional sensors. The deployment of new sensors has to be voted by the network in the blockchain.
ACESO Test & Trace Network
The blockchain network, at which governments, healthcare facilities and testing laboratories can take part, governs automated policies for data access and testing logistics through smart contracts empowered by Machine Learning and optimization algorithms in order to achieve ideal capacity planning and real time data transfer.
Even though data is anonymized outside the recognized infection chains, it still can serve as a very valuable data source for epidomologic research.
How this will impact the crisis.
ACESO Test & Trace network provides an ideal trade-off between value add for citizens, personal data protection, and effective insights and testing / infection chain management for governments. With the help of this technology, governments can isolate the spread of the virus by real-time capacity planning and logistic automation and quickly deploy and measure new policies whilst citizens stay informed and can stay safe with the help of their personal health assistant. Additionally it could be extended to manage Intensive Care Capacities cross-border through the whole European Union.
What we have achieved during 2 days.
During this weekend we have not only elaborated the idea, but also deployed a full scale blockchain network with already running smart contracts for privacy rules, and an off chain encrypted database as well as created the first fully functional prototype of the ACESO health pass for citizens with an AI-driven chatbot interface and all mentioned sensors for contact tracing.
How we want to continue and what could the solution bring after the crisis.
We want to get in contact with public entities as well as healthcare facilities to establish an open-source project with a longterm goal beyond the testing & tracing use case during the pandemic. With the help of the digital health pass for each EU-citizen we could automate cross-border patient information transfer and inter-country healthcare research knowledge transfer through smart contracts on a self-governed blockchain network.
Built With
fabric
hyperledger
ibm-cloud
ibm-watson
kubernetes
node.js
react
react-native
Try it out
github.com | ACESO - the first feasible SARSCov2 Test & Trace Network | ACESO digitizes and automates rollouts of extensive testing and contact tracing in compliance with personality rights through a self governed blockchain network. | ['Tin Stribor Sohn'] | [] | ['fabric', 'hyperledger', 'ibm-cloud', 'ibm-watson', 'kubernetes', 'node.js', 'react', 'react-native'] | 12 |
9,902 | https://devpost.com/software/papure-2tpv60 | paPURE Setup - Angeled View - Utilizing Snorkeling Mask
paPURE Setup - Front View - Utilizing Snorkeling Mask
paPURE Setup - Side View - Utilizing Snorkeling Mask
paPURE Setup - Back View - Utilizing Snorkeling Mask
Original Prototype of paPURE Design View
paPURE Base - Top View - Inserted Compressor Fan and Fan Shroud
paPURE Base - Top View - Empty
Abstract:
The Filtrexa paPURE is an affordable, 3D printed powered air-purifying respirator (PAPR) that provides our healthcare providers with better protection than even N95s, especially in high-risk and confined environments (E.g. ICUs, ERs). It incorporates readily available components and can be easily manufactured locally. We can thus increase accessibility of PAPR technology by enabling hospitals to produce and purchase it as per their need, optimizing the 3D-print to produce it at a cost that is over ten times cheaper than PAPRs currently offered on the market, and using exchanging highly specific components for readily available and affordable components. The Filtrexa paPURE also has made design changes to improve comfort, ease of use, and longevity of PAPR technology.
Introduction
One of the most immediate and impactful effects of the COVID-19 pandemic are global shortages of proper personal protective equipment (PPE), forcing healthcare providers (HCPs) to consistently work in high-risk environments and unnecessarily place their own lives at risk. Our product is a powered air-purifying respirator (PAPR) that creates a positive pressure field with filtered air to protect frontline healthcare workers from airborne threats such as SARS, TB, measles, influenza, meningitis, and most immediately COVID-19. This technology improves upon current PAPR devices in terms of cost-efficacy, ease of access, and ease of implementability. Our solution not only serves to combat general PAPR shortages across the country, but also eases PPE shortages that arise from COVID-19 and future patient surges through an on-demand 3D printing process.
Value Proposition
Powered, air-purifying respirators (PAPRs) are currently the gold standard in medicine when treating patients diagnosed with COVID-19 and other highly infectious respiratory diseases[1] due to their positive pressure system. This system filters air extremely effectively before it reaches the airway. However, this technology package is costly, often totaling over $1800[2] and requires highly specific components which are currently in short supply. Both well-established hospitals such as the Mayo Clinic (with a ratio of 4500 physicians to 200 PAPRs)[2] and smaller county hospitals such as the Hunterdon Medical Center (where not a single PAPR is available to physicians) are facing critical shortages of personal protective equipment (PPE). Evidently, the aforementioned barriers render PAPR technology inaccessible to most frontline HCPs, leaving them far more vulnerable to infection.
Alternatives to PAPR technology include N95s, surgical masks, and currently, homemade masks due to a worldwide shortage of PPE. Although they provide a barrier against aerosols, standard and surgical N95s are easily compromised with an improper fit and have an assigned protection factor (APF) of ten[4], while PAPRs have an APF of 25 to 1000, rendering PAPRs far more effective at protecting HCPs. Additionally, physicians tend to prefer PAPRs over N95s because PAPRs are reusable, easier to breathe through, do not require fit testing, and make them feel safer[1][5].
Our Solution
In order to provide purified air to those in the most high-risk environments, we have developed a novel, inexpensive, and accessible PAPR device that is both lightweight and 3D-printable within 24 hours. Printed using readily-available filaments (e.g. PLA, ABS), paPURE is mounted to the user’s hip and assembled via on-hand motors and batteries. (See Appendix 2.5).
Through PAPR technology, HCPs are given access to filtered positive pressure air systems (in which airflow serves to seal any gaps in masks, as well as reduce respiratory fatigue in HCPs), drastically decreasing infection risk in areas such as ICUs and ERs.
Our device’s customizability allows for interoperability with existing masks, filters, and hosing (See Appendix 3.1), enabling hospitals, or possibly surrounding hobbyists/machinists (regulatory dependent), to produce PAPRs for their physicians and nurses. For images and procedures: See Appendix 1 and 2.
The system features a dual battery set-up that allows HCPs to utilize one or both batteries independently, as well as swap out batteries while the device is in use (such as during an extended patient procedure that a physician cannot leave from). Additionally the belt system, with the fan/chassis on you lumbar and 2 battery on ports on both hips gives a better weight distribution for improved comfort in extended usages (such as a surgeon leaning in an awkward position during the operation). The use of an inline filter means that air is pushed into a filter at the end of the device, as opposed to regular PAPRs that pull air through filters. This setup means that the risk of an imperfect seal compromising air quality is virtually nullified as no negative pressure system exists after air filtration in our device. Additionally, the aforementioned inline filters are better at filtering biological particles without disturbing airflow than standard P100s and are already used extensively in anesthesiology and respiratory care departments of hospitals across the country.
After printing the device’s chassis and shroud, integration with an inline bacterial/viral filter, housing, and masks will be followed by on-site fit and efficacy testing to ensure proper device assembly.[6] Then, an HCP would don their mask, clipping the paPURE chassis and two smart power tool batteries to a provided utility belt, and connecting to the mask via a hose. At most, we expect equipping paPURE to add 1-3 minutes to a medical professional’s routine and greatly improve safety and comfort.
An Improvement from Traditional PAPRs
Our technology eliminates the need for a middle-man manufacturer. Because the only required components are readily available to hospitals and clinics, hospitals can produce the device as per their need. We anticipate working with local 3D-printing facilities to produce and assemble the product, then to distribute the Filtrexa PAPR to hospitals. Physicians and NIOSH officials (most notably Richard Metzler, the first Director of the National Personal Protective Technology Laboratory at NIOSH), have already given us promising feedback regarding the need for this technology, and we are looking into potential partnerships with PPE developers and/or motor manufacturers. Some hospital purchasing experts have additionally communicated a need for affordable PAPRs. Our solution is over 10 times cheaper than current PAPR technologies ($155; see Appendix 2, Figure 2), increasing likelihood of adoption. To allow smaller hospitals to easily obtain our technology, we plan to raise awareness of our business through phone calls and emails to hospitals throughout the country.
Implementation Plan
paPURE’s solution is implementable almost immediately. The main barrier between our tested prototype and implementation is FDA/NIOSH approval (FDA EUA Sec II/IV Approve NIOSH Certified Respirators). We have also identified conditions that will allow us to expedite the regulation and roll-out of the production (such as the IDE and 501(k) pathways suggested to us by regulatory experts).[15] Because our device is based on existing PAPR technology, this predicate nature in combination with existing precedents for 3D-printed medical technology, can help expedite its deployment.[16]
Our technology minimizes the need for a middle-men. We are partnering with regional additive manufacturers to allow for quick, standardized, yet still decentralized production of the device. The only required components are readily available to hospitals and clinics, allowing HCPs to produce the device as per their need. Additionally, if regulatory approval permits, we may utilize local schools/universities/hospitals with on-site 3D printers in order to allow for fully decentralized manufacturing. After NIOSH Approval, our device (and depending on regulatory guidelines, possibly our CAD file) will be sent to those with 3D printers available, who could print and assemble the device (See Appendix 3.1).
Players involved in the production of this technology would be hospital assembly workers, but the design is easily assembled by anyone (the only limitation being that assembly be done under a fume hood to prevent contamination). Physicians we’ve already talked to have given us promising feedback regarding the need for this technology. We are currently looking into potential partnerships with PPE developers (See Appendix 3.2) and/or motor manufacturers. Our solution is over ten times cheaper than current PAPR technologies (See Appendix 3.3), increasing the likelihood of adoption.
Due especially to the length of this health crisis, hospitals are facing dire shortages of PPE. This has accelerated our timeline, but we are confident that it is feasible given the current state of emergency (See Appendix 3.4).
Since this product has yet to be implemented in hospitals, we are writing to you today to gauge your interest in paPURE. Additionally, any feedback you have relating to our product or interest in helping us with laboratory testing of paPURE would be greatly appreciated.
We anticipate our project to reach full fruition within 6-12 months. Our timeline is as follows. Our second iteration of prototyping for clinician testing will conclude in 2-3 weeks, followed by initial clinical testing, which will finish in around 1.5 months. As soon as clinical testing is finished and the product is validated, we will submit our product officially to NIOSH for regulatory approval. We anticipate receipt of regulatory approval within 1.5 months from submission. After approval is obtained, we will also apply for either a provisional patent or copyright, depending on legal advice. Within 1-2 months after regulatory approval, we plan to roll out our product to hospitals via centralized 3D-printing. During the next 1-2 months, we will continue to iterate and optimize the product. Official hospital rollout, with multiple 3D-printing partners and company partnerships, will occur around a month later. This will be around 6-7 months from now. As seen, our timeline is aggressive as we wish to equip healthcare providers with PPE as soon as possible. The prior goals mentioned in our timeline are our key goals and objectives for the project at this time.
Current Testing and Partnerships
Technical Testing is being carried out at Filrexa's primary residence and at Johns Hopkins University and includes analysis of airflow data, battery life, and filtration efficacy. For clinical testing, we already have established connections for clinical testing with both Johns Hopkins Medical Institute and Stanford University. In regards to business-focused assistance, we have also partnered with FastForwardU for advising regarding intellectual property protection, strategic marketing, and clinical networking.
Planned Partnerships
We plan to designate one 3D-printing company (current candidates include Xometry, Protolabs, Cowtown, and Health3D) as our manufacturer during our initial launch into the market, but will continue to partner with additional 3D-printing companies as our business grows. Due to our unique manufacturing approach, all hospitals, regardless of their size, will be able to order and quickly receive PAPRs, lowering the impact of the current shortage. In order to supply the auxiliary materials such as motors, batteries, and more, we plan to initiate company partnerships with large corporations such as 3M, Dyson, Black and Decker, GE, Cuisinart, Hitachi, Makita, Shop Vac, Hoover, Bissell, Shark, iRobot, and Bosch.
Additional Video
https://youtu.be/iFMtzt52BEQ
Appendix and Citations
Click here!
Website
paPURE Website
Built With
3dprinting
cad
cpap
p100 | paPURE | paPURE is a hospital accessible PAPR Technology utilizing 3D printing and readily available hardware to give healthcare's frontline the gold standard of personal protective equipment right now. | ['Sanjana Pesari', 'Hannah Yamagata', 'Sneha Batheja', 'Joshua Devier'] | ['2nd Place Overall Winners', '1st Place', 'The Wolfram Award', 'The Best Business Idea', '3rd Place Hack', 'Best COVID-19 Hack'] | ['3dprinting', 'cad', 'cpap', 'p100'] | 13 |
9,906 | https://devpost.com/software/cyware | Inspiration.
Spending time online has become a major part of an average teenagers' life, especially now at the times of physical distancing. Often we might assume wrongly that as the newer generation has grown up using smartdevices every day, they would recognize threats more easily. Unfortunately, not. There are millions of scam victims every year ranging from those suffering from identity theft, financial losses, viruses installed or threatening and bullying online.
Most of the sites operating currently are either not suitable for kids or require a lengthy tutor led program that the casual young internet browser might not have the attention span for. We are therefore here to help educate them and teach how to avoid getting harmed.
What it does
The platform is supposed to give brief training that outlines major topics in cyber security and let’s users test their knowledge in the form of fun mini games. It’s intended for the 8-17 year old internet user whose attention is caught by a click-bait online test headline similar to the likes of ‘Find out what type of potato you are’. He is then redirected to the CyWare webpage and immediately put through engaging self-evaluation quiz. Upon learning his level of expertise or even how little he knows about cyber security, he is then presented the option to learn the main ideas. It is crucial to keep the content very short and filled with memes and relevant photos, animations and really push the ‘short game side’ of learning that is more effective when the kid has to learn on his own rather than within a program. In case the user does get carried away when learning any of the ‘knowledge’ cards and wants to spend time for it, there are inbuilt links from the modals that lead to fun but lengthy and more sophisticated topic-respective games made within the Be Internet Awesome campaign by Google. Otherwise he can simply return to the short self-evaluation quiz we have provided and take the test as many times as he would like to. Moreover, there will be a whole section of mini-game arcade including kid favourites like the Snake, Pac-man and others that are adjusted to teach the kids what they should be going after (or who should they share information with) and what they should ‘run away’ from.
How we built it
In building this platform each individual took leadership in one or more aspects of creating the page while still collaborating with others and delegating tasks depending on our competencies. For communication Slack, Zoom and Google hangouts was used, as well as Google Sheets and Google Documents to brainstorm more effectively but ensure that no ideas were lost. Wireframe brainstorm took place in the old fashioned pen and paper way to speed up the process and make it more flexible while allowing everyone to take part not discriminating UX design beginners to have a say. The final ones were made on Balsamiq to make them easier to read for coding. Website was created using a micro web framework Flask, along with some Javascript, HTML5 and CSS3. The final video emerged through working with Filmora.
Challenges we ran into
3/4 of the team are complete rookies and for 2 of them this is their first ever hackathon that they join due to curiosity rather than actually having any ideas. Our team was only formed on friday evening and the first idea emerged around 7pm, taking out a good chunk of time that the other more experienced teams (that might have had skills, ideas or at least known their team members) probably spent already coding. However, being full of will power and persistent led us to learning along the way. We had to set priorities and realise what we can manage to learn and create in this time and what unfortunately will have to remain for the future ventures. In the end we put in much effort in googling kids website advice, contacting with mentors and going out of our way (even investing in new movie making tools) to understand how we can not only create something, but create something appealing to the specific audience.
Accomplishments that we are proud of
That we actually made it!
We had many ideas, we started to prioritize, divided tasks easily and we had a great teamwork which especially showed in the end when we had corrections. We became really detailed regarding coloring, shading, hovering buttons etc.
What we learned
We've improved our coorperation and orgranization skills and we've learned that there are way more people who get scammed online then we thought.
Marta:
Having 0 experience with code or building websites, my main takeaway is the UX design practice I had during these two days. I learned the names for different tools and shapes that might not seem like much, but is actually such a big step when trying to communicate your ideas to the back-end developers. The same goes for various colour code converters, resolution requirements, picking colours, shapes and choosing content that might be more appealing to the user.
Sigrid:
I learned the phases of design thinking, it was basically my first time using Balsamiq and ever developing something like this. And I would have never thought that little steps/changes need so much work and for that I am grateful to Mikas who helped us through it and explained to us rookies how we need to think.Besides that I had a crash course in video editing and I'm not sure if I want experience such stress ever again, haha!
Tenis:
Worked with content and design, did the Photoshop logos which required ad hoc learning.
Mikas:
Learned the design aspects how little details are important.
Most of all we were all in this together and learned a long the way. We are definitely A LOT more knowledgable than we were on Friday evening when we first met each other.
What's next for CyWare
Making the website more interactive- working on layout options and adding animations, gifs, memes and visualisations in learning platform to make it more appealing to young users.
Building further the arcade features: more animations for the hangman to make it correlate with the correct/false answers and have a whole section for nostalgic Snake game and Pacman but with a cyber-related twist!
Creating partnerships with online school platforms like and E-klase, Ekool to draw traffic to the page. As well as looking into potential opportunities to place adds in most popular social media among youth- Facebook, Instagram, TikTok, Snapchat, Youtube etc.
In the long run expand the CyWare kids section in to the adult education market, who usually don't educate themselves about the threats that might lurk online and have even more to lose considering all the sensitive information that can be more devastating to lose than the kid’s, for example, banki cards etc.
Slack channel
We communicated on the slack channel named #raccoongirlsnboys.
Built With
css3
flask
html5
javascript
python
Try it out
github.com | CyWare | You are under threat for 8 hours a day! We are here to help you educate yourself in a fun way! | ['Sigrid Ojavee', 'Mikas Pupeikis', 'marta_ozola', 'Tenis Lenerts'] | ['Data Everything + Best Use of Domain + Your Hack'] | ['css3', 'flask', 'html5', 'javascript', 'python'] | 0 |
9,906 | https://devpost.com/software/ar-cards | The whole set of cards designed for this game
The main menu screen
Team klövr
Slack - team-klövr
Inspiration
Augmented Reality as a modern-day, user-friendly medium and our favourite card game duraks.
What is durAR
durAR is an AR game that takes your best friends closer to you in this time of physical distancing. In this game you can play the card game duraks with your friends in immersive and engaging AR.
You can even try to peek into your friends' cards if you feel like you want to cheat.
Setup
Download the apk file from
here
Download the target from
here
and either
1) Print it out, place it on a surface
2) Show it on a screen that's lying horizontally on a surface (ipad, laptop etc.)
How we built it
We started by creating a server-side gameplay core in node.js (server-side) and at the same time making the app in Unity as well as all the designs, using Vuforia as our AR engine. Later we set up the socket.io connections in Unity to the server and then connected everything together. The designs were made in Adobe Illustrator and Affinity Designer, the video was edited with Adobe Premiere Pro and the audio was processed in Ableton Live 10.
Challenges we ran into
Setting up AR for the first time in our life - a challenging but fun experience
Connecting Unity with websockets in order to make a connection with the server
Accomplishments that we're proud of
Within this short time limit have set up a node.js server that connects to unity in order to bring multiplayer into the game; produced and filmed an entire video with a processed voice-over, and created our own original deck of cards
What we learned
EchoAR (which we ended up not using) is
too
easy use. (only 50 API calls which got used up too quickly)
What's next for AR Cards
Our team in the future will add more card games for all of us to enjoy. We aim to create a dynamic lobby size, so you can enjoy it with more friends!
Updates for improved AR experience (being able to play the game without the target image)/the target image allowed to be on a 90deg angle for easier use.
Bug fixes and updates are most likely coming
Built With
amazon-web-services
arcore
c#
node.js
socket.io
unity
Try it out
github.com
drive.google.com | durAR | Multiplayer augmented reality based durak game with AR exclusive features. | ['saecl \u200b', 'Oskars Putāns', 'Rihards Kauliņš', 'Reinis Salaks'] | ['Overall Best Hack'] | ['amazon-web-services', 'arcore', 'c#', 'node.js', 'socket.io', 'unity'] | 1 |
9,906 | https://devpost.com/software/team-pmv | Starting Screen
Gameplay Screenshot
End screen Screenshot
Inspiration
We wanted to create a fun typing tester game that differed from the normal boring ones that already exist.
What it does
Our project is a game in which the user protect his home from word invaders. To destroy the invaders, the user must type out their weakness written upon them. Please navigate to
http://wordinvaders.space/
to feel immersed in the fate of humanity
How we built it
For the initial website we discovered that we were struggling with hosting a domain. One of our team members had the idea to use an unconventional domain extension in order to keep in line with the theme of our game. We ended up using a website from domain.com that ended with .space, which gave us
http://wordinvaders.space/
as our website. The main page of the website is built using html, css, and JavaScript. We extensively realized that frame embedding in order to reduce the amount of files and folders. The index.html depicts the start of a typepocalypse using css elements and containers to provide vivid imagery. This page contains the play button which is responsive and opens up a window popup that is not a link to an external tab, but is directly stored on the main website. The play button sources content from the github linked below, which contains word invaders. The word invaders game was created using a combination of C++, html JavaScript, css, and lots of pixelart(GIMP). The game was coded in C++ and then one of our team members wrapped the game as a .html for easy web deployment without the use of things like flash. This conversion was done using the proprietary atanvertor script. Additionally functionality was added to reload the game whenever desired. The word-bank is sourced from Merriam Webster dictionary api and is pseudo-classified by an original system that assigns ships their words based on the factors of length, complexity, and unique letters. The other github link is the main page. We also utilized google fonts and google cloud in order to store recurring scores.
Challenges we ran into
Switching from a github page website to an actual domain, working with other virtually, and properly using pop ups in Javascript. We also tried to implement an orbital for the play button on the main page, however we were only able to get as far as making it change position at different states based on both display refresh rates and aspect ratios, but it remains static once the website has loaded.
Accomplishments that we are proud of
Hosting the website on a proper domain, successful integration of many different programming languages, the website being visually appealing, and working correctly.
What we learned
We learned how to host on a domain that was not github pages and developing custom game architecture.
What's next for Word Invaders
Visual updates, better scaling of difficulty, and more diversity in game play.
Possibly even more typing games.
Built With
c++
css
dictionary.com
domain
github
google-cloud
google-fonts
html
javascript
svg
Try it out
wordinvaders.space
github.com
github.com | Word Invaders | Typing game to improve typing speed and accuracy | ['Aditya Singhal', 'Daegan Appel', 'David Park', 'Laith Qushair'] | ['Creative Coding + Game Jam'] | ['c++', 'css', 'dictionary.com', 'domain', 'github', 'google-cloud', 'google-fonts', 'html', 'javascript', 'svg'] | 2 |
9,906 | https://devpost.com/software/team-f-a-r-t | MATCH-EM-UP
OVERVIEW
A quick puzzle-arcade game produced for the Raccoons 2020 hackathon, in which you try to match a shape to other incoming pieces with additional challenges and gamemodes.
TRACK: GAME JAM
MAKING OF
Team F.A.R.T. originally started with a completely different idea, and with an extra team member. The plan was to make a top-down game about a blind man doing daily tasks, where things would only be visible on screen if they emitted a sound. The first 12 hours of the event were spent working on this idea. However, the dull nature and the slightly lacking execution of it were making the team lose faith in it. Sadly, this lead to 12 hours of radio-silence and inactivity.
Team F.A.R.T. doesn't give up. Despite losing a lot of time and effort, F.A.R.T. weren't just going to stop working; they had joined a hackathon after all. Failure is a part of learning. With maybe not as unique sounding of an idea, in the name of F.A.R.T.(-ing) they got back on their feet and it was time to make the most out of what they had left. MATCH-EM-UP was going to be a learning experience like no other. And thus, almost 24 hours of work ensued.
SHORTCOMINGS
Although we conquered many concerns and obstacles during development, there were some things we either didn't have enough time to implement or were incomplete:
-Resolution scaling and general settings;
-Music player (as we had made 4 songs for the game (check additional info for that));
-Custom and survival gamemodes (proved to be too tricky for the amount of time we had left);
-Choppy collision;
-No sound effects or audible/very little visual feedback when matching pieces;
-Balancing issues.
TEAM INFO
Team consists of 3 (two after the change in direction) members:
Martin K - team manager (way to go buddy on keeping everyone together, hats off to you, so much for managment);
Jack Reid - composer, has programmed only visual novels in python (they're epic by the way), also edited the preview video;
Felix H. - most programming experience out of all (resigned, however);
ADDITIONAL INFO
Game made using Game Maker Studio, written in the Game Maker Language.
Source code:
https://github.com/RiMsels/TeamF.A.R.T..git
Game's soundtrack (by Jack Reid):
https://soundcloud.com/jvckrxid/sets/do-you-fart-raccoons-hackathon-unused-music
Built With
c#
gml
lua | Match-Em-Up(Team F.A.R.T.) | Puzzle-arcade game, where you match pieces to their corresponding shapes. | ['Jack Reid'] | ['Participant Vote'] | ['c#', 'gml', 'lua'] | 3 |
9,906 | https://devpost.com/software/ar-space | Inspiration
With COVID-19, many people's holidays have been cancelled. This app allows people to not only go to a holiday elsewhere in the world; it lets them visit places like Mars and learn new things!
What it does
The app will be able to change your room to appear like a different planet. It will crunch image data from NASA API and will start off as a web app. You can go to the url and view the Mar AR model.
How I built it
I used echoAR. The Mars model is integrated into a website. To get images to use for the Mars model, I used NASA API.
Challenges I ran into
It was my first time using echoAR, and, as that was the main tool I used, it was difficult for me to learn and use echoAR.
Accomplishments that I'm proud of
I'm glad that I finally got the models to load and display!
What I learned
I learned how to use echoAR and I used NASA API for the second time and the Mars Rover data for the first time!
What's next for AR Space
We hope to expand the locations that we can visit and add more educational features. I want it to be able to show more than just Mars: I want to add models for different places on Earth and other planets as well.
Slack Channel: #vr-space
People: Venkat Raja, Kriss
Try it out
github.com
genericp3rson.github.io
drive.google.com | AR Space | Visualising the Unknown from the Luxury of your Home | ['Shreya C', 'Venkat Raja CH'] | ['Sponsor Track - AR/VR'] | [] | 4 |
9,906 | https://devpost.com/software/conbox | View by Resource
Database
Asteroid Details
Home
Inspiration
One of the biggest rising resource industries to soon dominate the scene is asteroid mining. Some specialists speculate we are only a few decades away from starting to mine our first ones. The problem is though, not all asteroids contain valuable metals or water, some of them are just piles of rubble held together by microgravity. This is where our platform comes in. Our website will help asteroid miners figure out which space rocks to mine and how difficult it will be.
We came to this idea by simply doing a brainstorming session. We were trying to figure out a problem that isn't obvious, but that could be highly relevant in the future. The provided solution
What it does
Our platform will show the nearest asteroids to Earth on a map. The users will be able to click on each asteroid and see its distance from Earth, where it's heading, what it might have in it and what its approximate value is. Our app will be like a platform to anyone interested in asteroid mining or doing research on the topic. It will also have a search engine, so for instance, if I want to mine gold, our website would provide the user with the most profitable candidates.
How we built it
We structured the website using react and used Asterank API to collect data on near-Earth asteroids. Asterank relies on NASA's database for asteroids. We analyzed Asterank to determine the composition of asteroids based on their types. Using our results, we derived a set of queries to extract the best asteroids for each natural resource.
Challenges we ran into
One of the biggest challenges was the workload that needed to be put in the project. Our coders worked hard, by that I mean over 12 hours per hackathon day, sometimes even during the night. Another challenge was finding data on the asteroids and APIs and frameworks with which we could create this project since there aren't many websites or programs out there with a similar functionality
Accomplishments that we're proud of
We are happy that we coded a functional website that uses API's and represents the data in a visual and user-friendly manner.
What we learned
The developers improved their skills in Vue.js, two of them learned the framework from scratch. They also learned the query syntax of MongoDB. During this hackathon, all of us improved our communication and teamwork skills collaborating in a multicultural work environment.
What's next for SpaceMine
With SpaceMine the sky is the limit. We plan on implementing a space research and mining investment opportunity where we would open up this complex topic to the general public. We aim for SpaceMine to become the go-to site for analyzing asteroid data once the industry takes off. When the technology start advancing far enough to support interstellar travel, we want to start adding planets and stars to our database and their approximate value.
Slack Channel: #spacemine
NOTE
If you experience problems with the website, make sure to
zoom out
to see the whole page. If you are visiting the project on
laptop
or
tablet
, you might have to zoom out to
75%
or
50%
.
Built With
asterank
bootstrap
mongodb
nasa
rest-api
sass
vue.js
Try it out
ricardslazda.github.io
github.com | SpaceMine | Your guide to asteroid mining! | ['Emils Vigants', 'Ebtesam Haque', 'Kristaps Briks-Dravnieks', 'Ričards Lazda', 'Sanchit Pandey'] | ['Space Track - High School Students'] | ['asterank', 'bootstrap', 'mongodb', 'nasa', 'rest-api', 'sass', 'vue.js'] | 5 |
9,906 | https://devpost.com/software/wha-how-tz6ugo | Inspiration
We wanted to create something that can educate people from all generations about all kinds of topics: software, electronics, economics and others.
What it does
Our project enables people to create their own posts to educate others and themselves about topics they are interested in.
How we built it
We built with HTML, CSS, JavaScript and Java. We used online computing sites: codesandbox.io
Challenges I ran into
Finding an idea for our project, that everyone liked
Finding a way we could work together on one code at the same time
Adding back end to our project?
It took some time for people to understand what was happening
Finding a task for everyone, where they could show their best??
Presentation/video.
At the end of the hackathon, GitLab decided to upgrade their database, therefore the website was down.
Accomplishments that I'm proud of
We managed to create a working project for the hackathon.
What I learned
We learned more about front-end development and different collaboration tools (Figma, Codesandbox.io).
Learned a lot about web site management and editing.
Understood more about how websites are created.
Learned a lot about the team up and working together.
What's next for Wha-How
We think about continuing the development of this idea because a lot of people are currently finding more hobbies for themself and trying to learn something new. Additionally, it is a good challenge for us to learn new technologies/frameworks/languages in our software development path.
Built With
css
html
java
javascript
spring
Try it out
github.com
github.com
sergeikus.gitlab.io
drive.google.com | Wha-How | Page for makers and hobbyists, to share or ask help for their projects. | ['Dana Rolica', 'Sergei Kuštšenko', 'Artūrs Ābele', 'Ervins Gailums', 'Mārtiņš Zemlītis'] | [] | ['css', 'html', 'java', 'javascript', 'spring'] | 6 |
9,906 | https://devpost.com/software/magicmirror-54hcva | Inspiration
What it does
It is a magic mirror with google assistant and youtube streaming built-in.
How I built it
I used a raspberry pi
Challenges I ran into
Software compatibility
Accomplishments that I'm proud of
youtube streaming
What I learned
MagicMirror and API keys
What's next for MagicMirror
we are going to build the frame and the hardware
Built With
google-assistant-api
magic
mirror
raspberry-pi
Try it out
github.com | MagicMirror | A utillty for your house | ['Tarunesh Sathish'] | [] | ['google-assistant-api', 'magic', 'mirror', 'raspberry-pi'] | 7 |
9,906 | https://devpost.com/software/covid-raccoon | Game WinScreen
GamePlay
GamePlay
Jump Calibration
Collision Detection
Project Purpose
Plans
GamePlay
Repository List
GamePlay
GamePlay Screen
GamePlay
Game Over Screen
GIF
Gif of JS (Lot to work on)
Bugs
Note: Please refer to github
Readme.md
for better understanding of project as a lot of images are missaligned here. You can also view my youtube video. Here iss the
vague version
of game. To play the actual game follow the instructions
mentioned here
.
covidRaccoon
This repository is a submission for "Raccoons Virtual Hackathon".
Hackathon Link
Youtube Video 1:
Explains all about Pygame and the origin of the project
Youtube Video 2:
Explains all about the attempt to implement the Game on Webserver Using JS
Would request you to watch them both to go through the entire project! Thanks... Do let me know if you have any feedbacks or questions for the same.
A very simple 2D game where the character jumps and dodges the viruses, infected people and bats. Further the game ends once you reach your home. Difficulty of the game can be changed by changing the virusvelocity variable.
Installation and Setup
Playing Instructions
For HTML Webpage Game: Press Up arrow to Jump and down Arrow to duck
For PyGame: Press SpaceBar to Jump and Up arrow to duck
(I know that's wierd, but never changed it from the very beginning due to different combinations of testing)
A very simple 2D game where the character jumps and dodges the viruses, infected people and bats. Further the game ends once you reach your home. Difficulty of the game can be changed by changing the virusvelocity variable.
Installation and Setup
In order to play this game, You must ensure that you have pygame installed as your python library. In case you don't, just enter this command:
python3 -m pip install pygame
If your default python is called out by
py
then you may try this command:
py -m pip install pygame
Or if your default python is called out by
python
then you may try this:
python -m pip install pygame
Note that if your pip is associated with environment variables then you may directly go with:
pip install pygame
Once the installation is finish, either you can run it from python IDLE shell or you can manually write this script in your CMD:
python3 PlayGame.py --diff Medium
For easy or hard mode:
python3 PlayGame.py --diff Easy
python3 PlayGame.py --diff Hard
Kindly make sure your first letter of mode-type remains capital as the choices are case sensetive.
Covid Raccoon: Saves the Day
Project Components
PyGame (Covid Raccoon:- Saves the City)
JS Implication (An attempt to host the game on web [Partial Success ])
HTML Webpage
Why Video Game Track?
What can Video Games do in our lives? Well, a typical answer will be
they are a source of fun and enjoyment.
Well, that's true, but a new generation of gaming isn't just hanging at the peak of pleasure or entertainment, but today they're also getting active in the field of learning.
Especially with a touch of AR and VR, these games can be useful in all types of learning, whether it be to train a surgeon for medical emergencies or to visualize the
"Elephant Toothpaste Reaction"
without getting worried about spillage and equipment.
Inspiration
I have always been curious about learning new things, whether it be related to stem or something else (though, I am always inclined towards STEM). Game Dev is a booming field and seems to have a promising future if correctly used.
Though I am well versed with other Development (App-Dev/ Web-Dev/ Designing) and Instrumentation Tech (IoT/ Robotics etc.) but Game-Dev was always something which I wanted to learn, and that's what turned me to try it here for the first time!
What it does ?
Vs What I did in JS using p5.js
It allows you to Roam around the city, which is apparently static (unless you add your custom background :-P) and look for the virus-infected people or viruses escape them till you reach your home, which is at the end of your city.
In this adventure, you will see different types of viruses that will try to infect you! You're a raccoon, and you're on a mission to sanitize the city without getting infected.
To escape from the viruses, you have to ensure that you don't come in contact with them at any cost! Also, you need to keep a distance from those who are already infected.
Unless you're not sanitizer protected, any incoming virus can infect you. If you catch a sanitizer (which always happens), you will be able to blow it three times before it ends, and then you have to protect yourself against them.
For all the land viruses, you need to jump and skip them. On the other hand, for all the air viruses, you need to bend down and let them pass away.
With your speed, it takes a fixed amount of time to reach the end of the city where your sanitization process is over, and you could safely keep yourself locked unless the pandemic ends!
How I Built It?
I started building it with pygame tutorials available on
Youtube
. This entire game is solely built with pygame library. The characters (in the form of png images) are prepared in Microsoft PowerPoint.
The Raccoon moving GIF was broken to extract frames by using this
python code
. So yeah, that's pretty much of it! I built it using
Python, Pygame, PowerPoint, PIL, and lots of love
!
All the Commits along with the messages linked to their respective changes have been added in github. These changes are:
Create Readme.md
Add License File
Second Commit Adding Characters
Added Walking Functionality
Added Viruses and other graphical interfaces and also added collision Detection
Final Modifications
## Challenges I Ran Into
If I look back, there were lots of things I struggled with such as:
Getting Started with Pygame
Differentiating Between
Surfaces
and
Geometries
(Rectangle:- Trust me, my first raccoon was just a box )
Collision Detection Algorithm
: (All Credit Goes to DrawFunction in my Script, which helped me visualize the errors I was making and modify it to the best kind of collision detection)
> if RoadX>=xInit and RoadX<=xInit+CharacterSize:
if (yTop<=RoadY+HeightVirus and yTop>=RoadY) or (yTop+CharacterSize<=RoadY+HeightVirus and yTop+CharacterSize>=RoadY):
Jumping Algorithm
: This one was the trickiest of all. Since it follows a parabolic trajectory, I struggled to create that realistic jump effect. And aborting the jump if I want to crouch.
> def jump(y,jumpLim,flag):
if jumpLim==-jumpMag:
jumpLim=jumpMag
y=yInit
flag=0
else:
y-=jumpLim*abs(jumpLim)*jumpGrowth
jumpLim-=1
#print(f"Jump values:{jumpLim}")
return(y,jumpLim,flag)
Identifying the right Entity and it's effect.
Resetting all effects time to time.
## What I Learned ?
The very basics of Pygame, movement simulation, velocity,
blit
and
draw.rect
functions.
Time clocks, ticks, updating windows
etc. In short, Basics of a 2D Game development using Pygame.
What's next for Covid Raccoon?
And this will produce a flow chart:
Purpose of this Project
I have created this project mainly because of three reasons:
Getting Exposure of Game Development
This project has pretty much helped me to take my first step towards Game development, slowly I would try to dive deeper and do more customizations and learn more.
For the Beginners and Developers
For the Beginners and Developers who want to learn PyGame, I am planning on converting this project into
Video Tutorial Series
. This will not just be there for them to get started with PyGame but also to use this project as the base template to do the modifications in their own project.
Pretty much every 2D game needs jump and axis movements and so if this could be any helpful to them, I would be extremely happy. I would love to see amazing games built in reference to this small project.
For the Kids and Babies to Develop their Minds to Generate Awareness about Cleanness and Sanetization
This game could led to a positive awareness among the mind of kids and create a good image of importance of sanitation and hygene in maintaining their health, I am not sure how nicely it will work, but expect it to have some positive impact.
GamePlay Images
References
PyGame Tutorials
W3Schools
p5.js Documentation
Credits
Thanks to
Georgijs / Raccoons/ Mentor (Helped me with feedback and mentoring throughout the Hack)
Pauls / Mentor / Web development(opens in new tab) (A big thanks, without him my JS game wouldn't even have started and the page would have looked like this:):
Lina / Raccoons(opens in new tab) (A big thanks to her as well for guiding with submissions and other stuff throughout the Hackathon, her workshop of Creative Computing helped me get started with JS, thanks so much for such a wonderful workshop! If the workshop wouldn't have happened then probably I wouldn't have dared to replicate this game in JS )
and ofcourse all other organizers, mentors and EchoAR, I am sorry but I am still not able to figure out how to generate the Key! Or else I would have tried implementing that too!
Built With
css
html
javascript
love
p5-js
pygame
python
Try it out
github.com | Covid Raccoon | Covid Raccoon is a fun 2D game to create awareness and kill free time during this lockdown! | ['Shivam Sahil'] | [] | ['css', 'html', 'javascript', 'love', 'p5-js', 'pygame', 'python'] | 8 |
9,906 | https://devpost.com/software/stockify-g2a4y7 | Inspiration
I recently read the book "Rich Dad, Poor Dad" and was greatly inspired by it and decided to look into stock market as a source of income but I have no idea about how stock market works or how to invest and hence was unable to invest in it. So I decided to build a site which allows people like me who want to learn before directly jumping in the market.
What it does
It gives the user a dummy amount of money and allows the user to buy/sell stocks and shows the user visualizations of the profit/loss they incurred.
How I built it
I have used laravel framework to build the site. Laravel is a PHP framework which allows us to use MVC model for my site keeping the code of our site well structured. Laravel by default provides with blade.html files which allow simple logic calculations in html and I am using VueJS and Bootstrap 4.0 for frontend of my site. I am using MySQL database and have structured my database schema in BCNF form.
Challenges I ran into
Almost the whole thing is a challenge for me because before this contest I did not know anything about laravel and had very little knowledge about VueJS. I ran into some design issues too, like where to make cross site AJAX calls from(More about it
here
). Also I ran into issues on making the database schema and from further analysis I was able to create 6 tables to follow the BCNF scheme.
Accomplishments that I'm proud of
I am proud of seeing that how much I can develop and learn in mere 2 days in I put my heart and soul in it. I had no knowledge of laravel and very basic knowledge of VueJS before this hackathon and now I know so much about these. This hackathon has made my belief stronger that we all have so much potential in us, what we need is just to work hard with all our heart and soul.
What I learned
I learnt a lot of things, how to set up routes in laravel, how to make our own apis, how to make controllers and blade.html views and also a bit about mysql. I learnt so much about laravel and vuejs during this hackathon.
What's next for Stockify
At present I am giving the users 10000$ on registering. Next I can add banks which can issue loan and have users take money from there as well. This way the site would be an ideal real world scenario without of course real money. Further we may add many features like tutoring the users on what do the terms mean in stock market and how to buy/sell stocks. We can add news section in our site where user can see all stock related news.
Built With
laravel
php
sql
vue
Try it out
github.com | Stockify | A website which helps people to learn how to invest in stock market without the risk of loosing real money. | ['Anurag Shah'] | [] | ['laravel', 'php', 'sql', 'vue'] | 9 |
9,906 | https://devpost.com/software/covision-76cpi9 | Summary
In this project, I draw on existing research and data to model the coronavirus' true case count over time. My aim is not just to provide statistical estimates concerning the pandemic, but also greater insight into its underlying dynamics.
Take a look!
Slack channel: #covision
Built With
jupyter
matplotlib
pandas
python
Try it out
github.com | COVision-2020 | Modeling true case count over time | ['Kartik Chugh'] | [] | ['jupyter', 'matplotlib', 'pandas', 'python'] | 10 |
9,906 | https://devpost.com/software/proj-x | Inspiration
There are a lot of guitarists that struggle with learning from notes. This webpage is just a presentation of idea of phototabs
What it does
It's an AI driven app which turns notations in the photo to the tabs
How we built it
We used react for our web app and android sdk for the actual app
Challenges we ran into
We are currently struggling with the whole AI traning, it takes long.
Our git repo:
https://github.com/arlauskaslukas/phototabs
Built With
react
Try it out
github.com | PhotoTabs | The guitar app that helps you to become a proffesional | ['Lukas Arlauskas', 'Justas Giniūnas', 'Antanas Ramanauskas'] | [] | ['react'] | 11 |
9,906 | https://devpost.com/software/vlearn-fxhc3t | Inspiration
Awareness and Education are two of the essential ingredients of developing belief. Awareness has been highlighted by many as a key indicator of success in a range of performance environments. It is arguably the most important ingredient for belief as every other skill, quality, and task you have and undertake can be traced back to awareness. Being aware will give you an insight into your beliefs and whether they are positive or holding you back. But it takes a lot more than information to make kids understand and follow things. While on the other hand education is important to shape an individual. I wanted to make something that helps create awareness, about the do's and don't s of Covid-19 among kids, alongside it being entertaining, immersive, and educational. What better way than games to do this, and as VR is the best immersive technology available out there and keeping in mind the tendency of kids to explore new things, this application has been developed.
What it does
It is a multiplayer Virtual Reality Quiz Application. The app has many topics to choose from to play, which also helps spread awareness about COVID-19, other preliminary things that kids need to learn. It also has a real-time leaderboard of every topic that people choose to play.
How we built it
A. Unity3D- It is built on unity3d which is a powerful cross-platform 3D engine and a user-friendly development environment. I used unity to build the whole game from UI to Realtime database system to the game itself.
B. Google VR SDK - a new open-source Cardboard SDK for iOS and Android. I used the Google VR SDK to develop the VR game scenes, which is not possible without it.
C.Photon PUN - Photon Unity Networking (PUN) re-implements and enhances the features of Unity's built-in networking. I used it for networking.
D. Google Firebase - Firebase is Google's mobile application development platform that helps you build, improve, and grow your app. I used Firebase, to make manage database systems to verify credentials, sore data, retrieve data, update leaderboards.
E. Photoshop - I used Photoshop for the development of user interface elements.
Challenges we ran into
As this is a multiplayer application, to store and retrieve data in real-time (real-time database) I used Google-Firebase (Unity SDK), integrating it with unity has been tough work. As this is the first time I was working on networking using PUN, it has been a problem, as networking is not as easy as it seems to be, with PUN having many internal issues in my version of unity, I had to make the whole non-networking scenes again in a new version that supported PUN.
Accomplishments that we're proud of
I could finish the development of the application in less than a day.
What we learned
Integration of realtime databases with unity apps, networking.
What's next for VLearn
The VR application currently supports Android, Windows and hence the next goal would be to make an ios version, redefine UI, and releasing it to production so that users can have an immersive experience of modern gaming and education techniques.
Built With
c#
firebase
googlevr
photon
unity
Try it out
github.com | VLearn | Immersive Approach To Awareness and Education. | [] | ['submitted the same hack to multiple hackathons and did not realize this is not a serious hackathon?'] | ['c#', 'firebase', 'googlevr', 'photon', 'unity'] | 12 |
9,909 | https://devpost.com/software/gaas-m8ljs0 | https://www.youtube.com/watch?v=gA0AOH1drIY
HackDSC was a wonderful learning experience for all our members.
Our goal was to make sustainable gardens more widespread by reducing barriers to entry. Sustainable gardens have many benefits including environmental, social, and mental, so it is important to encourage the practice.
To build our project we utilized multiple Google products alongside Agora. Google products were needed for hosting, running models, analytics, and buckets. We also explored the Google app engine. IBM cloud was used to verify the results received from Google Cloud.
Agora was needed to facilitate live stream functionality. We want people to see a live feed of their garden, and Agora was critical in making that happen. The live stream in the video represents this.
Finally, we used MongoDB and Blockstack (screenshots above) to build features like authentication.
Google Products Used: Google Cloud Vision AutoML, Google Cloud Storage Buckets, Google Cloud Datastore, Google App Engine
Built With
agora
arduino
blockstack
google-cloud
mongodb
node.js
vue
Try it out
github.com | GaaS - Gardening as a Service | We made a project to tackle mental health and rising CO2 emissions through sustainable gardens. | ['Cameron Brill', 'Muntaser Syed', 'Anthony Teo'] | ['Overall: First Prize', 'Education: First Prize', 'Best use of Blockstack'] | ['agora', 'arduino', 'blockstack', 'google-cloud', 'mongodb', 'node.js', 'vue'] | 0 |
9,909 | https://devpost.com/software/safer-at-home | Menu
top down in-game mini map
Inspiration
For our first Hackathon, we wanted to create something fun, interactive and meaningful.
We decided to make a game and we eventually settled on Unity as a platform for development.
What it does
Safer At Home allows the player to get a different perspective on the virus by either playing as an essential worker, or working from home. The player must refill their health and food stats while staying away from the other human "AIs" in order to not get infected. This is a top down style game set in a low poly city grid.
How we built it
We utilized Unity's Collaborate platform instead of Git into order to share code and track changes. We broke down the project into smaller pieces by assigning game tasks to each team member(map, move mechanics, UI, other humans, etc). We used a shared Google Doc to outline our project.
Challenges we ran into
Having little experience with Unity, all of us were forced to learn something new in a short amount of time. The human pathfinding algorithm, saving game states, class inheritances and object hierarchies, and merging code all gave us trouble at some point.
Accomplishments that we're proud of
We got a game working! It's not super polished but we have a working map, moveable character, moving "AIs," game menus, a mini-map, scripts and controllers for game stats.
What we learned
How to develop a game from scratch and work in team to create something quickly. We learned how to break down a large task and prioritize the most important features to deploy. All of us definitely bolstered our C# skills.
What's next for Safer At Home
There's a lot of fine tuning that needs to be done. The A* algorithm that controls the NPC humans could use some work. Editing of the player's health and hunger statistics, logging the npc's stats at the end of the game, tuning movement controls as well as adding the ability to switch between a secondary worker role(essential worker, and remote worker) would make this game more complete.
Built With
c#
unity
Try it out
github.com | Safer At Home | Stay at home the most you can in this COVID-19 simulator game | ['Daryoush Ghoreishi', 'Ezra Moussa', 'Octavio. Anino.', 'Enrique Davalos'] | ['Overall: Second Prize', 'Accessibility: Third Prize', 'Healthcare: Third Prize'] | ['c#', 'unity'] | 1 |
9,909 | https://devpost.com/software/evaluating-georgia-s-re-opening | Evaluating Georgia's Re-Opening
Southeast COVID-19 Cases
Georgia Forecasts
Southeast Forecasts
Southeast vs US
Georgia Counties COVID-19 Cases
We see on the news how a sizeable number of people and states want to re-open their states. Specifically, Georgia made headlines as one of the first states to reopen their state for non-essential businesses. As such we wanted to analyze the COVID-19 data of Georgia, its counties, and the Southeast region. We use Wolfram for forecasting and visualization. Learning a new language is difficult. However, Wolfram advantage is no need for imports and much of the technical parts of data analytics are abstracted away.
Our findings are as follows: We seen how 6 counties are responsible for almost half of the cases in Georgia. These counties suggest that as Georgia re-opens, state and local governments should carefully consider whether to ease up on previous protective measures. These counties can undo most of the good that the quarantine has done.
We also see that, if recent growth continue, there will be about 18,000 new cases in Georgia and 55,000 new cases in the entire region. The forecasts are based on most current data. However, if Georgia reopens, the trend could accelerate not only for its own state, but its neighboring states within the regions as well.
Built With
wolfram-technologies
Try it out
github.com | Evaluating Georgia's Re-Opening | In the midist of COVID-19 pandemic, Georgia has decided to reopen its state for nonessential businesses. We use Wolframe to examine and visualize our evaluation of their reopening. | ['Wilson Bao', 'Ngan Nguyen', 'Christopher Keokot'] | ['Overall: Third Prize', 'Best Use of Wolfram'] | ['wolfram-technologies'] | 2 |
9,909 | https://devpost.com/software/zoom-party | Screenshot of Video.
Inspiration
I have tri-weekly Zoom calls as a part of an organization I am involved in, and there are always apparent efficiency issues that have captured my attention. For example, there is no unified way to access a sort of "notepad" in the Zoom client without manipulating your windows in strange ways. And even if you do get a split-screen view with the Zoom client, you won't be able to juggle many windows at once. Zoom does have collaborative features like whiteboard functionality, but there is no cohesive and cross-implemented solution across platforms that allows for the use of multiple productivity tools and that allows for an ease of transition between applets.
What it does
ZoomParty is an all-rolled-into-one web platform that allows teams in all industries to collaborate with ease. The application is fully compatible with all Zoom calls and any user can invite their coworkers or colearners to join in on the "party"!
It allows users to leverage multiple collaborative platforms, like Trello, collaborative documents and whiteboards, and custom "applet" integrations right next to a Zoom meeting client. Users can move around, resize, and duplicate applications to maximize productivity.
The built-in collaborative document uses Firebase to automatically store the meetings notes or agenda's written in the client. Any user on the same ZoomParty is able to add to the collaborative document in real time.
The whiteboard feature also allows users to collaboratively add to a shared whiteboard in real time. The whiteboard is able to "import" images to be displayed on the background of the drawing area by texting in an image (ex. a sheet of notebook paper with ideas) to the Twilio MMS API, which then allows ZoomParty to process and add the image into the Firebase database holding the image data.
How I built it
I built ZoomParty's UI with the React framework. This allowed me to maintain a "controlled" environment for the website's state, allowing for future expansion in the integration of automatic layout setup. The backend of the application was implemented in Firebase, through the Firebase Realtime Database, which allows the in-house collaborative applets, like the Docs app and the Whiteboard within ZoomParty to foster a collaborative and constructive dynamic through real time, live, multi-user editing. Any user on the same ZoomParty is able to open the documents and whiteboard apps and contribute live, with edits being saved instantaneously as they are made into the Firebase Realtime DB.
The whiteboard interface was built off of a past project implementing React Konva, which allows for a canvas interface to be built directly into the React UI. The lines and highlights are stored as objects in the React state, where dragging the mouse instantiates a function that records the relative mouse location and stores the coordinates into the state objects. When the state is changed, the whiteboard applet triggers an update to the Firebase DB, which also refreshes the state of the applet due to the event trigger that is created when the whiteboard app is opened. The "text-in" functionality is made possible through the Twilio MMS API, which allows for texted images to be uploaded to their image stores.
The collaborative document app is based of of the Quill React rich text editor, in which I added an event handler on the opening of the application to automatically ping and fetch the Firebase Realtime Database for updates to the text route of the specific ZoomParty call taking place. Then, it stores the response into the state, and when changes are made within the Quill interface, the state is changed and the Firebase database is updated with all relevant changes to the inputted text. Since the routes of the whiteboard and document data stores are the same for any Zoom call, any user on the same ZoomParty can add, edit, and delete text and drawings in the ZoomParty UI. Here's a sample of the Firebase data structure: /streams/ZOOMPARTYID/[whiteboard/notes]/[lines/highlights/text/activeTool]
Additionally, I used Bulma CSS for integrating a cohesive UI library to form components.
In terms of the window stack, I leveraged React-DND to allow for a windowed environment that has grab handles to expand panes and move functionality. A small FontAwesome icon is placed at the top left of all windows, which uses absolute positioning to always stay on top of the component. I then used the CSS class of the icon has a grab handle.
Balsamic Sketches
Challenges I ran into
I initially ran into many issues with the reactDND component, in that it was challenging to deal with the complex window structure appropriately. I also had a few issues initializing the Firebase database and adding all relevant configurations to the React app, but these were solvable after reading the Firebase documentation. There are a few resizing bugs that still persist, and I hope that I can resolve these in future iterations.
Accomplishments that I'm proud of
I am proud of completing ZoomParty to a functional state. As the deadline approached, I felt increasingly stressed as I wasn't sure if I would be able to implement all the features I had meant to implement. I feel that the platform is a unique solution to the problems I had experienced as a student in Zoom calls, and I hope that the tool is able to help other teams and classes move towards a more productive environment that fosters collaboration.
What I learned
I learned a lot in the field of UI design, window management, database control, and collaborative environments. The window position is highly controlled, which also forced me to research more into how React "states" work. I also learned about different data structures, data manipulation, etc. to allow me to use React state in a more effective manner.
What's next for ZoomParty
In the future, I hope to add even more collaborative functionality that brings people closer together. Here's some things on the roadmap:
Built-in omnidirectional translation services for international collaboration
Even more web apps or in-house "applets" that can help with project management, slideshow creation, spreadsheet manipulation
Preset "layout" configurations that the host can automatically set and that will be stored as URL parameters
Mobile device support through a tabbed layout
Built With
bulma
firebase
react
react.js
zoom
Try it out
github.com
zoom--usere.repl.co | ZoomParty | A multipurpose, collaborative, and productivity-promoting Zoom client! | ['Ethan Sayre'] | ['Accessibility: First Prize'] | ['bulma', 'firebase', 'react', 'react.js', 'zoom'] | 3 |
9,909 | https://devpost.com/software/stacy-bot | Interface in FB messenger
This representation of NLP
Features which will be added more as time goes
PLEASE NOTE THIS IS A TEST BOT, AS PUBLISHING AND VALIDATION TAKES TIME, SO IF U WANT TO USE THIS THEN U NEED TO BE THE TESTER. BUT U CAN USE THE PHONE CALL FACILITY.
CALL AT: +1 463-221-4880
(This is a toll-free number based in US, if you are out of US then only minimal international charges will be applicable, I am from India and it takes 0.0065$/min)
If you want to use this app in your Facebook Messenger like shown in the video then please comment your Facebook ID in this project's comment section, I will add you as a tester to this app
IT IS JUST AN WORKING DEMONSTRATION OF MY IDEA TO TACKLE THE PROBLEM, IT CAN BE MADE AS PER THE DEMAND OF ANY ORGANISATION. AND THE BEST THING IT IS NOT A CONCEPTUAL IDEA IT IS TOTALLY A REALISTIC IDEA THAT CAN BE DEPLOYED AT ANY MOMENT ACCORDING TO THE DEMAND OF THE ORGANIZATION
Our Goal
General Perspective
Due to the situation of COVID-19 the work force of the world is decreasing(since everyone is maintaining self quarantine and social distancing ), which is creating a big havoc in the world, through this project of mine, I mainly target to tackle this problem and help the health organizations with a virtual workforce that runs 24*7 without any break, and handles all kind of mater, starting from guiding the people to fill up the forms to managing the data of the patients automatically and all-together.
Business Perspective(if required)
Bot service (it is not a company yet, I am just referring to the thing that we want to build or start this company, we are student developers right now) which adds a virtual work force to every client organisation to bloom in the market. In business perspective Our potential business targets are small business,NGO and health organisations and we help them to be free from human service cost and help them to grab more users by providing 24*7 interaction with there users, thus generating more revenue for them.
Inspiration
I really got inspired for making this advance A.I bot by seeing the current COVID-19 situations, because of these COVID-19 situations people are restricted from gathering hence work force and user interaction of various health organisation are diversely effected. Through this project I aimed to connect the health organizations with the patient anywhere in the world,using any platform(not limited by android, ios or Web). And also manage the data of the patients automatically thus reducing human effort and maintaining social distancing.
MADE THIS PROJECT TO BRING A CHANGE
.
How is our product different than others
1)
There are many types of A.I bots,where most of them are Decision tree based models that work with particular buttons only,our products will be totally based on NLP based models,which are more advanced and are in higher demands than others.
2)
Other service A.I bot service providers are confined to only 1 or 2 platforms, whereas we at the same time are providing advantage to the client to choose from a large scale of platforms like FB messenger, google assistant,slack,line,website bots and even in calls
3)
For the health organisations that are willing to buy our technology (We are also willing to donate this tech for free), from business perspective we will also be cheaper than our other competitors, when others are taking near about $3300/year for the service, we are doing it in $100-$1500 one-time fee range with more versatility.
It will totally be free for any user using it, no charges will be applicable for users
What it does
Our bot provides the power to every health organisation at such situations of COVID-19 by managing the screening,testing and quarantine data and also connecting the persons that are willing to do the test with the help of diversified digital platforms. In cases where internet is not working (where other bots won't function) still our bot works inside the phone number thus providing fruitful results in such situations.It basically covers all important aspects of an advanced A.I bot. It also connects the health organisations with volunteers that are willing to donate their time as helping hands in this hour of need.
How I built it
I built it using Google cloud A.I solutions, Google cloud Dialogflow framework(which includes automatic firebase integration) where I trained the bot with NLP with huge datasets from WHO and government and then integrated it with the Facebook messenger through Facebook Developer account. It is also supporting Phone call facility
Challenges I ran into
I had to go through many challenges, starting from being a solo developer, I really had to face a lot of problems as making such a complex app which all the advanced features as mentioned, all these things together cost me a lot of sleepless nights but i hope my hard-work pays off
Accomplishments that I'm proud of
I am really proud of the app that I made because it itself is a big milestone for a solo developer like me.
What I learned
I learned a lot of things through out this journey of developing this app, starting from advance use of Google cloud A.I solutions, Dialogflow and integrating it to Facebook messenger, making filters inside the chat-bot to enhance user experience etc.Connecting it with a phone number to receive phone calls etc.
What's next for Health Bot
If my work gets selected, then for sure I am going to work really hard to make Health Bot even bigger and to add more amazing functionalities to make my users happy.
Built With
dialogflow
facebook
google-cloud
javascript
json
Try it out
github.com | Advanced A.I Health Bot | An A.I bot with: Telephone calling,NLP,24*7 health coverage,total automatic data management,wipes rumors,Easy navigation,HD pictures,Customer service help etc | ['Udipta Koushik Das'] | ['Accessibility: Second Prize', 'Healthcare: Second Prize'] | ['dialogflow', 'facebook', 'google-cloud', 'javascript', 'json'] | 4 |
9,909 | https://devpost.com/software/protect-8n3fwg | Inspiration
Amidst the global COVID-19 pandemic we noticed that there wasn't a central area to alleviate the stress and anxiety people have of the coronavirus, prevent the spread of the virus, present reliable statistics and news of the virus in one central area, and build a community of people to fight against the global pandemic.
What it does
Protect is designed to provide access to on-demand information and powerful tools to make a difference. We built a backend system for login and signup using Firebase Authentication that securely authenticates users into the platform using password encryption. Protect provides general information on keeping safe, quick and simple access to reliable and relevant news, and real-time statistics from an API by calling an HTTP ‘GET’ request over the network. In addition, Protect has an integrated PayPal and Credit Card system so you can donate to leading organizations that have pledged to support your issue and research facilities. We have also integrated two extremely useful tools. The first tool is a Bluetooth contact tracing system. If two people are within 6ft of each other, their phones automatically exchange unique codes (known as a TCN) via Bluetooth. If a person tests positive for the coronavirus, they have the option to log vital information to the database such as, the date they started to feel the symptoms, the date they got tested, their location information, and the public key. The app will periodically check the codes it received and determine if one or more codes were from the person who tested positive for the coronavirus. If so, an alert will be sent to all the devices who were in contact with the person infected. The second tool is a novel way to self-assess if you are vulnerable to COVID-19. COVID-19 is especially deadly for those who have problems with their respiratory system. We trained a Deep Convolutional Neural Network on top of the MobileNet architecture by using Transfer Learning. We built the model using AWS Sagemaker. With over 90% accuracy, our model feeds in an X-Ray image and classifies whether the user has normal, viral, or bacterial pneumonia. The image is sent over the network to our RESTful API built with the Flask microservice and returns the prediction by first loading the model from AWS S3 buckets and then using the model to predict and return raw JSON data back to our app using Bi-Directional Streaming.
One of our primary focuses for Protect is the community because we believe that relationships can solve problems. These relationships can stem into powerful movements, fueled by change. Protect pushes users to develop a community through challenges. Every time a user completes a challenge, they get points and can post their progress via images or written stories on the integrated feed. The user can also post pictures of events, work they’ve done for the cause, and important information on the feed. All data entered through the posts form is persisted in Google’s Cloud NoSQL database, Cloud Firestore, and Firebase Storage for all the images. By using the power of Firebase Cloud Firestore and Data Streaming we have included chat rooms for each topic. Chat rooms allow users to network with each other and discuss potential solutions. In addition,
Protect also has a video chat feature built with Agora.io that enables quick and flawless face to face connections with people around the world. This feature can also be used for doctors and patients worldwide to seamlessly communicate while staying at the luxury of their homes and practice social distancing. Other coronavirus apps don’t have the networking and communication infrastructure that we have built into Protect.
How we built it
Our app can be divided into two separate components namely the app itself and the flask webserver. Our app was built using Flutter and Dart for the UI/UX, firebase authentication, firebase cloud firestore, and firebase cloud storage for the backend and database.
Challenges we ran into
One big challenge that we ran into was integrating the machine learning with our app. We initially tried to use the tflite package, but that ended up causing various conflicts with other packages we were already using such as firebase and agora.io. As a result, we ended up making our own flask web server with an endpoint to upload an image to the server. This was really convenient because the machine learning predictions would happen on the server-side and the server would only return the model's prediction and percent accuracy. Another challenge was building the communication infrastructure such as the messaging channels, video calling, and posts feature. We had to learn how to use firebase storage to persist all our user data efficiently and securely. In addition, building the Bluetooth contact tracing system was also a challenge because of the limited documentation available. After a ton of R&D, we managed to build a really robust way of preventing the spread of the coronavirus using Bluetooth technology.
Accomplishments that we're proud of
We are really proud to have created a fully functional cross-platform app that alleviates the stress and anxiety people have of the coronavirus, prevents the spread of the virus, presents reliable statistics and news of the virus in one central area, and builds a community of people to fight against the global pandemic.
What we learned
We entered this hackathon with no prior experience using many technologies such as Firebase Storage, AWS Sagemaker, AWS S3 buckets, and Agora.io, but with a ton of hard work and dedication, we were able to complete making Protect!
What's next for Protect
We hope to release our app to the App Store and Google Play Store for people to use. We designed our app so that it is extensible to other global issues. COVID-19 isn't the only issue although it is at the forefront of everyone's mind. We plan to add new "Protect's" in the future that addresses issues such as education in third world countries, poverty, food and hunger, water and sanitation, the environment, and many others.
Built With
agora.io
aws-iam
aws-s3-buckets
braintree
covid-19-api
dart
firebase-authentication
firebase-cloud-firestore
firebase-storage
flask
flutter
flutter-bluetooth-api
google-cloud
keras
mapbox
matplotlib
news-api
numpy
opencv
pandas
pickle
sagemaker
tensorflow
Try it out
github.com | Protect | Protect is a unified platform for people to access real-time statistics and news on the coronavirus, built coronavirus prevention tools and a social collaborative networking site. | ['Aryan Vichare', 'Soham Manoli'] | ['Healthcare: First Prize'] | ['agora.io', 'aws-iam', 'aws-s3-buckets', 'braintree', 'covid-19-api', 'dart', 'firebase-authentication', 'firebase-cloud-firestore', 'firebase-storage', 'flask', 'flutter', 'flutter-bluetooth-api', 'google-cloud', 'keras', 'mapbox', 'matplotlib', 'news-api', 'numpy', 'opencv', 'pandas', 'pickle', 'sagemaker', 'tensorflow'] | 5 |
9,909 | https://devpost.com/software/eduspace-9ly8ep | Google cloud
Mango DB
UML
Inspiration:
Students in the classroom are not able to connect with professors as before, or sometimes they are hesitant to reach out. So we created a full featured platform to combine time-tracking, communication, collaboration, planner and analyzing tools all in one place so students and professors do not need to spend extra time or money for other platforms.
Built With
agora
chart.js
css
html5
javascript
mangodb
python
react.js | eduSpace | A classroom platform with an emphasis on community and peer to peer collaboration. | ['Sibel DeShong', 'Sulbha Aggarwal', 'Shreyan Mohanty', 'Rupakshi Aggarwal', 'Sanchit Gupta'] | ['Education: Second Prize', 'Best of use of Agora SDK: First Prize'] | ['agora', 'chart.js', 'css', 'html5', 'javascript', 'mangodb', 'python', 'react.js'] | 6 |
9,909 | https://devpost.com/software/techteens | Simple interface with a prominent start button
Dashboard displayed to registered Virtual Tech Teens
Integrates with system-wide dark mode
Virtual Tech Teens
Outline
Overview
Have you ever helped an elderly member of your family with tech support? We certainly have. However, many members of our community lack someone to ask for technical assistance. Virtual Tech Teens works to bridge this gap by connecting tech-savvy teens with elderly individuals from our community.
Our Inspiration
Before the COVID-19 pandemic, the Santa Monica Public Library hosted a program where teens could interact with the elderly through free tech help. Unfortunately, after the lockdown, this program was suspended until further notice. In this time of separation and isolation, the importance of connecting members of our community has been emphasized more than ever. Using modern technology, our application connects users to teens through a virtual medium.
What does our app do?
With the push of just one button, the Virtual Tech Teens app connects those in need of technical assistance with young, tech-savvy individuals. Users are placed into a queue to receive support. Once the call is accepted by a certified Virtual Tech Teen, a basic video calling interface is presented, including switch camera, mute microphone, and hang up controls. This is all paired with high-quality video calling provided by agora.io. The app also natively integrates with system-wide dark mode.
High schoolers can apply using a Google Form to become a certified Virtual Tech Teen. At which point, they can easily sign in to the app using Google Sign In and an approved email address, so they can access the receiving end of the support requests.
The best tech support happens in person. But at a time when this simply isn't possible, Virtual Tech Teens brings the simplicity of face-to-face tech support online. No more tedious setup, confusing instructions, or low-quality communication. Virtual Tech Teens connects the best in I.T. with those who need it most.
How we built it
We used Swift to create an accessible app with a polished user-interface, Agora.io for high-quality video conferencing, and Firebase for our mobile backend services.
In Review
What were our challenges?
As high schoolers, we were initially intimidated by HackDSC’s target audience of college students. We wanted to create a modern, useful, and impactful app that lived up to the standards of the other participants, so we pushed ourselves to do so. We experienced many technical challenges that were eventually overcome with perseverance, dedication, and a little bit of coffee.
Accomplishments that we're proud of
We’re really proud of the progress that our project has made! This is definitely the best and most ambitious project that our high school team has made yet! We learned many new things about programming, branding, coordination, and teamwork. It was definitely a learning experience!
Other info
Note: Virtual Tech Teens is not currently associated with the Santa Monica Public Library.
MLH Best Name Registered with Domain.com: inspirewith.tech (Registered for this Hackathon)
What's next for Virtual Tech Teens?
In the future, we hope to implement a sorting system for queued users to match them with Virtual Tech Teens for specific topics (such as iOS, Android, Gmail, or Chrome). We also hope to use it in conjunction with the Santa Monica Public Library’s volunteering programs.
Built With
agora.io
firebase
swift
Try it out
github.com | Virtual Tech Teens | Connecting elderly members of our community with tech-savvy teens for easy virtual technical assistance. | ['Henry Marks', 'Jessica Golden', 'Finlay Nathan'] | ['Education: Third Prize', 'Best of use of Agora SDK: Second Prize'] | ['agora.io', 'firebase', 'swift'] | 7 |
9,909 | https://devpost.com/software/edulearn | Landing page
Grade Levels
Inspiration
With stay in home order, many kids are at home with their education on hold. We wanted kids to be able to keep learning.
What it does
Parents can log in to the website and select the grade level of their child. To take the stress off parents, EDULearn prepares daily lesson plans based on the child's level. We have learning for about an hour depending on the grade level and other activities to keep students engaged. These include arts and crafts and playing outside.
How I built it
HTML/CSS, Javascript
Challenges I ran into
We created a quiz to assess the child's knowledge, but we were unable to store the data properly for analysis.
Accomplishments that I'm proud of
We compiled and tailored different resources for each grade level, which took the most time.
What I learned
We learned more about databases.
What's next for EDULearn
Going live!
Built With
css3
html5 | EDULearn | Kids can keep learning from home | ['Maggie Chan', 'Kelly Chan'] | ['Best of use of Agora SDK: First Prize'] | ['css3', 'html5'] | 8 |
9,909 | https://devpost.com/software/lingua-talk | Lingua Trip App UI
Inspiration
I love watching KPOP, Always been a huge Fan (Army) of them, but as they speak Korean I always have to wait for the English subtitles and also the real meaning somehow gets lost in the translation so I felt if there can be a way to talk to native Korean speakers and learn their language through a video call from the ease of my home.
What it does
Lingua Talk is a global language learning app (Android and iOS) that connects students and teachers for 1-on-1 online language lessons. At Lingua Talk, we believe that human interaction and cultural sharing are the best way to become fluent in a foreign language. Just go through the list of teachers, check their profiles and if you like their profile you can book a meeting with them.
How I built it
It is built using Flutter and Agora. Expressive UI is a very important part of an app it can turn potential visitors to buyers as it facilitates interactions between the user and you're application, so we choose Flutter which not only gives you the freedom to make beautiful UI but also helps you cater to both Android and iOS markets while keeping developers happy with its features like HOT Reload.
Agora was our primary choice while we thought of integrating video calls, it's super easy and fast to integrate with the app.
Challenges I ran into
One of the major challenges was integrating live transcription, which broke at the last moment so couldn't include that feature in the current apk but will surely be there in our future versions
Accomplishments that I'm proud of
It has a beautiful UI starting from the bottom navigation bar, the app looks awesome and more importantly, we have made it keeping all mobile sizes in mind.
What I learned
I learned a lot about making apps that can work seamlessly on different devices of varying screen sizes and also a lot about Agora and Flutter
What's next for Lingua Talk
Planning to launch on play and apple store.
Built With
agora
agora.io
flutter
Try it out
github.com | Lingua Talk | An online education and training platform designed to teach various languages with the help of video sessions. | ['Rishav Raj Jain'] | ['Most Entrepreneurial Hack', 'Best of use of Agora SDK: Third Prize'] | ['agora', 'agora.io', 'flutter'] | 9 |
9,909 | https://devpost.com/software/book-review-cam | Inspiration
Many of us do our reading on tablets, computers, and phones now days. But, many of us still love picking up some old fashioned paper and ink books to do our reading. Often times when selecting a book to purchase, we check out the user reviews online. We wanted to develop an application to help readers quickly see a book's customer reviews to help them decide whether or not to make the purchase.
What it does
This app allows the user to take a picture or upload an image of a book cover. The user is then prompted to select the correct book given a list of possible books based on the cover image, and is then given a list of customer reviews from Goodreads.com.
How we built it
Due to the time constraints of this hackathon, we decided to use a high-level framework for developing mobile applications. We chose to use
Expo
to build a React Native application due to its ease of setup and configuration.
The images are stored in a Firebase Storage bucket, where they are stored to be analyzed.
The Google Vision API analyzes images stored in the Firebase bucket, and helps in recognizing the words from the book cover.
These words are the used to query the Google Books API which returns a list of books including their title, author, image, and ISBN.
The selected book's ISBN is then used to request an embedded reviews widget from
Goodreads
, displaying a paginated list of customer reviews to the user.
Challenges we ran into
The main challenges we faced seemed to be general problems associated with mobile development. These included issues dealing permissions to access the camera/images and make network requests. Another issue we found is that some external dependencies from NPM are not compatible with Expo, which forced us to find other solutions.
Accomplishments that we're proud of
We are extremely excited that we were able to bring our project to complete working condition after pulling an all-nighter on the final day of this hackathon. This is the second mobile project we have ever worked on, and we are proud of ourselves for being able complete a mobile app in the course of one weekend.
What we learned
We learned a great deal about integrating a React Native mobile project with Google's suite of cloud services such as Firebase, Vision API, and Books API. We discovered that Expo is a great tool for quickly building React Native projects without needing to work through Android Studio or Xcode.
What's next for Book Review Cam
In the near future, we plan to
Fine tune the text recognition methods used to recognize words from the book cover image.
Add customer reviews from Amazon.
Display links to where the book can be purchased.
Built With
css
expo.io
figma
firebase
firebase-cloud-storage
google-books-api
google-cloud-vision
javascript
react
react-native
Try it out
github.com | Book Reviews Cam | Snap a photo of a book cover to quickly retrieve user reviews from Goodreads. | ['Nicholas Ulricksen', 'Adriana Rodriguez'] | ['Best Use of Google Cloud: First Prize'] | ['css', 'expo.io', 'figma', 'firebase', 'firebase-cloud-storage', 'google-books-api', 'google-cloud-vision', 'javascript', 'react', 'react-native'] | 10 |
9,909 | https://devpost.com/software/alzheimersai | Inspiration
- One of our team member's relatives has Alzheimer's Disease
- Noticed firsthand the effects it had on his family
- Inspired to create a high-tech solution to problems we saw firsthand that had no efficient solution yet
What it does
- A customized quiz and uploaded brain scan analyzed by a neural network to determine a patient's Index
- Allows family members to track the progression of condition over time with logins for users and Chart.JS graphs
- Allows caretaker to set personalized profile options for things a patient should remember
How we built it
- Written in HTML/CSS/JS, Python
- Written in Visual Studio Code
- Utilized Travis for continuous deployment and autonomous configuration
- Divide and Conquer - Frontend, Backend, Artificial Intelligence
- Git, VSCode Live Share, and Discord
Challenges we ran into
- Git collisions - committing changes to the same lines at the same time
- Travis CI Deployment - many builds failing because of improper setup
- Artificial Intelligence - PC was very slow at most times as it couldn’t handle too much data
- Git large file storage - trouble loading AI model onto Docker build
Accomplishments that we're proud of
- First time using firebase for hosting, database, and authentication
- First time making a fully functional login system with google authentication
- First time using Travis CI/CD
- First time creating forms and quizzes using Flask and Javascript
- AI is accurate and works very smoothly
- Lots of backend and Javascript to process website
What we learned
- How to create a fully functional login system with google authentication
- How to use firebase for hosting, database, and authentication
- How to handle POST/GET requests with Flask
- How to create forms and quizzes using Flask and Javascript
- How to use Bootstrap to style a webpage
What's next for AlzheimersAI
- Expand to other platforms and methods of use - mobile App, Amazon Alexa, Google Home, and other IoT devices or even our own hardware
- Optimize AI to be faster and more accurate - dynamic training from user data and get better graphics card/computers
- Make more personalized quiz questions
- Get feedback from Alzheimer Experts - optimize quiz questions based on feedback
- Make the website more secure with patients health information
- Get HIPAA Certification
Contact Us
- Gravity#6127
- paradox#5683
- Rohan Juneja#7063
- Whiz#9087
Built With
bootstrap
chart.js
css3
fastai
firebase
firestore
flask
google-cloud
html5
javascript
jquery
jupyter-notebook
node.js
numpy
pandas
python
pytorch
resnet
travis-ci
visual-studio-code-live-share
Try it out
alzheimersai.herokuapp.com
github.com
docs.google.com | AlzheimersAI | A customized quiz and uploaded brain scan analyzed by a neural network to determine the users’ Alzheimer's Index. | ['Raadwan Masum', 'Aadit Gupta', 'Rohan Juneja', 'Safin Singh'] | ['Best Social Good Project', 'Best Use of Google Cloud: Second Prize'] | ['bootstrap', 'chart.js', 'css3', 'fastai', 'firebase', 'firestore', 'flask', 'google-cloud', 'html5', 'javascript', 'jquery', 'jupyter-notebook', 'node.js', 'numpy', 'pandas', 'python', 'pytorch', 'resnet', 'travis-ci', 'visual-studio-code-live-share'] | 11 |
9,909 | https://devpost.com/software/secret-online-refuge | The front page, posing as a news website
The "search bar" is a portal you can send messages to helpline workers
The responses for the chat are hidden in the bottom
The email automatically sent to the helpline worker when the user calls for help
The portal for helpline workers to be able to message back
Inspiration
Due to quarantine orders, crime rates of all sorts have gone down except for one:
domestic abuse
. Because of stay inside orders, millions of domestic abuse victims are stranded at home with their abusers. The case is worse now than ever because alcohol and drug use is at an all time high due to the crisis, which exacerbates the problem.
In addition, victims are constantly near to their abusers, since they're all stuck inside the same home, so calling helplines and other ways of reaching out are risky and possibly lethal if the abuser finds out. Before the quarantine, there were more than
20000 calls
to domestic violence hotlines _ per day _. Since many of these callers aren't able to call these lines because of the risk, a lot of victims are in grave danger unless we do something to help.
We personally know people affected by this problem, and want to help give these victims the voice they deserve. That's why we've created the Undercover Crisis Helpline.
What it does
Disguised as a regular news website, our webapp is meant to provide an avenue for victims to reach out to qualified emergency responders and therapists, while fooling the aggressor into thinking it's just an ordinary news website. The "search bar" at the top of the screen seems to be an ordinary search tool for news articles, but when a user types a message into the search bar, an email is sent to the appropriate professional.
The professional (whether it be an emergency dispatcher for urgent cases or a therapist for chronic cases) will receive the email, and be able to hop onto a portal and chat directly with the victims. The texts from the professional will also be extremely discreet with how they show up on the victim's screen, invisible unless the user highlights them.
It also can provide you the latest news (since it changes every few hours or so) in case you're interested in that as well.
Check out our gallery above for a better look at what it does!
How we built it
Using a full MERN stack, we built the entire webapp in full javascript, picking up react.js for the first time. On the backend, we used MongoDB to access the database where we keep messages, and Express allowed us to handle requests for both those affected and those who are there to help. In addition, we took advantage of Twilio's SendGrid API to create an email alert system for those who are reaching out for the first time. On the frontend, we have a combination of two react sites for back and forth messaging, combined with the API offered at NewsAPI.org in order to display real news-- indeed, it functions as a real news site, with titles, snippets, and links to full articles. We tested the multiple API's we used with Postman.
Challenges we ran into
We took on this project using React because we wanted to learn something new, and we got stuck plenty of times along the way. We also realized that being locked in your house with nothing except code and a teammate on a voice call to comfort you can make you go crazy.
Accomplishments that we're proud of
We're mostly proud of the idea since we know that this one website can improve or even save thousands of lives. Although this was made in just a weekend, we believe it's a proof of concept, and that as we spend more time on it, the more helpful it'll be.
We're also pretty proud to say that we're likely one of the first
social good fake news websites
!! Such an honor. :)
What we learned
angular > react (just a personal thing :P)
What's next for Undercover Crisis Helpline
Creating multiple skins. In order to make this product unrecognizable for any aggressors, we need to have a variety of choices available for users to make it look like an online shopping website or any other plausible options
Making it prettier and seem more legitimate in general
Creating a network in order to spread the word about this product
Building long lasting support for this project
Built With
api
css
html5
javascript
react
sendgrid
Try it out
github.com
find-your-refuge.online | Secret Online Refuge | It seems like an ordinary news site, but is actually a secret portal for domestic abuse victims to get help. | ['Bryan Wu', 'Danial Khan', 'Bryan Wu'] | ['Best use of Mongo Atlas'] | ['api', 'css', 'html5', 'javascript', 'react', 'sendgrid'] | 12 |
9,909 | https://devpost.com/software/draw-it-d3u8x9 | Inspiration
I was inspired to create Draw it because of the difficulties most of my teachers had faced in teaching their students virtually. One of my classmates asked a question: "could you explain how to draw and label energy diagrams?" My teacher shared his screen and opened a virtual drawing pad. Then, my teacher proceeded to draw contorted lines using the trackpad on his computer. This process not only made it hard for my teacher to explain but made it difficult for students to understand the material and the challenging concepts. This inspired me to create Draw it.
What it does
Draw it is a tool incorporating computer vision that enabled teachers to draw on their screen by moving their writing implement (pen/pencil) in the air. This allows teachers to swiftly and effortlessly create diagrams or demonstrate challenging concepts to their students during the relatively short class time.
How I built it
I used python and the OpenCV computer vision library to build Draw it. After coding the simple interface, I used the OpenCV library to detect objects blue in color (for the project to work, the implement must be blue in color). Next, the program is able to capture and draw the motion of the blue-colored object.
Challenges I ran into
I struggled a lot with finding the best data structures to work with the OpenCV library. After a lot of trial and error, I decided to use a deque to best handle the date.
What's next for Draw it
I hope to enhance Draw its features by using a machine learning model in order to perform image recognition and detect writing implements such as pens and pencils. Furthermore, I hope to expand the codebase in order to provide more tools for teachers in order to provide an even better distance learning experience for their students during COVID-19!
Built With
opencv
python
webcam | Draw it | A distance learning tool for teachers to better teach their students during COVID-19 | ['Veer Gadodia'] | ['Honorable Mention', 'Best Community Building Hack'] | ['opencv', 'python', 'webcam'] | 13 |
9,909 | https://devpost.com/software/anonymousblog | Anonymous Blog
A website where people may post freely/anonymously without fear of judgement or persecution
HackDSC Submission
You mat find the website hosted on heroku here
https://fathomless-beach-85767.herokuapp.com/
or
http://ASafePlace.online
(that is the domain I registered with Domain.com for their challenge)
What is this site?
This is a fully-featured blogging/forum web app where users may sign up for and post under an anonymous account.
We try to ensure privacy by:
not asking for email
not asking for name
not taking any of your information other than the username you provided
Anonymous users who have signed in may:
create a new post
update and delete their existing posts
reply to other posts
Users not signed in may:
register for an account
login to an existing account
view other members' posts and replies to those posts
Why Consider This Project?
Best Domain Registered With Domain.com
The domain
http://ASafePlace.online
is a clever use of the .online TLD, and is relevant to the project, since this web app is meant to be a safe place for people to chat/post/discuss anonymously without fear of judgement.
Technologies Used
Front-end
HTML, CSS, JS
Bootstrap 4.4
Back-end
Flask
SQLite
Challenges and Lessons Learned
One of the main challenges I faced when creating this app was deploying it to Heroku, which required installing third-party extensions that I did not use during development.
Another issue I faced was with creating the Replies section in the database. I kept getting SQLite errors when trying to delete posts, because I failed to delete the replies that belonged to that post.
Moreover, since this was my first time using Flask, SQL, or any back-end framework (with the exception of using Firebase in the past), there was a significant learning curve. However, thanks to Corey Schafer's tutorial, I was able to learn how to structure a Flask project, work with forms, and communicate with a database. I was able to extend and personalize my app with inspiration from his tutorial series on Flask (linked below).
Contact Info
Jeremie Bornais
[email protected]
[email protected]
jere_mie#9432 (Discord)
Note: This web app was inspired by a tutorial made by Corey Schafer, therefore there may be similarities in project structure, naming conventions and boilerplate code. Corey's tutorial can be viewed here
https://www.youtube.com/playlist?list=PL-osiE80TeTs4UjLw5MM6OjgkjFeUxCYH
Rest assured this code is unique and created by myself, and much of the functionality is different than in the tutorial.
Built With
bootstrap
css
flask
html
python
sqlite
Try it out
github.com
asafeplace.online
fathomless-beach-85767.herokuapp.com | Anonymous Blog | This application is created as a way for people to anonymously post their thoughts and opinions without the fear of being judged or persecuted in real life. | ['Jeremie Bornais'] | ['Best Domain Registered with Domain.com'] | ['bootstrap', 'css', 'flask', 'html', 'python', 'sqlite'] | 14 |
9,909 | https://devpost.com/software/thermomini | I started this project for the hackathons at the beginning of COVID-19, and have been slowly using every weekend since to learn the code that would allow this board to actually work, as well as improving the craft, this progress is slow and incremental, and thus, this project is more or less a placeholder demo.
Inspiration
How there's thermometers everywhere in China
What it does
Nothing. This is an Altium board that runs a thermometer in theory
How I built it
Working off of a previous board
Challenges I ran into
Team disappeared during Winhacks, no code
Accomplishments that I'm proud of
Having something?
What I learned
Erm... Hardware is only as good as the software that it runs on, and the people that make it. But also, Hardware is hard to do in a plague
What's next for Thermomini
Sleeeeep
Built With
altium | Thermomini | Small thermometers for COVID-19 | [] | [] | ['altium'] | 15 |
9,909 | https://devpost.com/software/open-space-virtual-programming | Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
After really only learning python from this first semester of college, I taught myself C# and Unity over the span of the last two days, which was a challenge due to the syntax of C# and advanced nature of Unity. However it was great and I don't regret anything! I plan to continue this project today and finish learning the last necessary features.
What's next for Open Space Virtual Programming
Wasn't able to talk about much because I have no more time but this is an unfinished project, It will incorporate bluetooth controller movement instead of keyboard movement to have a true open environmental feel as well as run as if it were an ide using VS code. This already works for any VR device as well as any phone that supports VR tracking.
Built With
c#
google-cardboard
ps4-input
unity
Try it out
github.com | Open Space Virtual Programming | As programmers, we tend to feel like we don't have much of a workspace when we are sitting at a desk. Have you ever wanted to feel free in an open workspace? Now you can! | [] | [] | ['c#', 'google-cardboard', 'ps4-input', 'unity'] | 16 |
9,909 | https://devpost.com/software/telehealth | Inspiration
When we were searching for inspiration for our product, we thought about why the COVID-19 pandemic even began.
The answer was simple- a poor public healthcare system. After more research we found out that governments and large tech company's are now investing millions of dollars to create a centralized healthcare system through telemedicine. However, these products would be available only to people with access to technology. In India, 70% of the population does not have access to smartphones and lives in rural areas without an effective healthcare system.
Also, in India, there is only 1 doctor for 1200 patients in the public healthcare sector. This creates crowded hospitals where people suffering from various diseases crowd in a small hospital. As a result the doctor suffers from mental pressure and patients have to suffer by waiting in long lines. This project has allowed us to use tech for social good by improving accessibility in the healthcare industry.
What it does
The main product is a kiosk which will be on the user end. Since hospitals in rural areas are located far away from the patient's home, our idea is to place kiosks nearby to people's homes which will allow them to do self-administered checkups. This kiosk will have a camera and Arduino sensors installed which can measure a person's blood pressure, heart rate and fever since these are the primary indications of large-scale pandemics as well as deterioration of personal health. This information will be sent to the doctor at the hospital. The doctor has his own database where this information is stored and the patient's data can be digitized. The patient also has the opportunity to speak to the doctor via video chat and clear his doubts. This will reduce the amount of patients going to hospitals by 73% as these problems can be solved over video (WHO). This will reduce the number of people going to hospitals and make the system more administered. In the long run, this data can also be analyzed to predict any future pandemics.
How I built it
I build the application using Adobe xD and Adobe illustrator. This took several iterations as we wanted to make this product accessible to as many people as possible. We used a lot of icons that were universally understood to counter illiteracy. We used a san-serif font that could be read by people with dyslexia and used colours as set by the WCAG guidelines to make it accessible to people who were colour blind. Besides this, we used Google Translate API and Google Maps API to identify the language spoken in the user's area to provide information in their language.
In terms of the backend, the application was build in flutter which connects to Firebase database which stores the patient’s information. To make the sensors, we used Grove temperature sensor V1.2 along with a Grove base shield to read the values from the sensor and display it on the screen. For the heart beat sensor, we used the XD-58C sensor.
Challenges I ran into
One of the biggest challenges we faced was to create an accessible interface that could be used by everyone. This took hours of research as we wanted to make the product aesthetically pleasing as well. We also faced a problem in using both firebase and flutter as this was our first time doing front-end development.
Accomplishments that I'm proud of
We are proud of thinking of a way to help a majority of the world's population, which often get's left out in the process fo technological advancement.
What I learned
Flutter, Google Firebase, Accessibility, Tech in Medicine
What's next for TeleHealth
We aim to propose our idea to the government. We also want to continue working on out product and include more sensors.
Built With
adobe-creative-sdk
arduino
firebase
flutter
Try it out
xd.adobe.com
xd.adobe.com
github.com
github.com | TeleHealth | Revamping the rural healthcare system in India through Telemedicine. | ['Bhrigu More', 'Ambar More'] | [] | ['adobe-creative-sdk', 'arduino', 'firebase', 'flutter'] | 17 |
9,909 | https://devpost.com/software/good-news-or-good-news | GoodNews
After seeing John Krasinki's Some Good News,
https://www.youtube.com/watch?v=F5pgG1M_h_U
, we made an iOS app that curates only the positive news from a news api using a machine learning model. The motivation behind this app was the fact that many people are feeling down because of the quarantine and are constantly bombarded by bad news. This app was made with hopes of bringing the spirits of people up while keeping them informed and we will try to make the features even better in the future. This is just a MVP. If we had time we would have implemented the twitter API, however we were only able to make the UI.
This model takes as input some text and outputs either "Pos", "Neg", or "Neutral." We imported this model into our iOS app and used it to only show the news with "Pos" as the label. Some challenges that we faced were trying to use PyTorch to train a stronger model but we weren't able to figure out how to import python code into swift, so we pivoted to use Apple's coreml framework. Some other challenges include that the original news api we were using in the beginning until there urlImage json property broke, so we had to implement a different less robust API called NewsLit at the last second.
We also used firebase as our backend to allow users to save and bookmark their articles and also used it for our authentication setup.
This was a fun project that taught us a lot, and we hope that it can be inspiration for others to use their skills to bring joy to other people!
Instructions
To use this app, you simply have to download the zip file and open it on your computer in a desired location. Then, open the white file called GoodNews.xcworkspace. Here, it will take a while for the project to build and index. As you are waiting, download an iOS simulator to run this app on. Then, click command+b and command+r to build and run this app on your virtual iPhone.
If this does not work, there may have been a problem with setting up the pods. Thus, you can try to run pod update in your terminal at the directory of which the Podfile is. You can also try to delete the Podfile.lock, Pods/, and GoodNews.xcworkspace files/directories and run pod install. Then open the newly created GoodNews.xcworkspace (white colored one) file and follow the previous instructions to run it!
Built With
firebase
ios
swift
Try it out
github.com | GoodNews! | Do you want the good news or the good news first? Seeing bad news all the time is bad for your mental health. So how about a news app that brings a smile on your face instead of making you anxious? | ['Raymond Yoo', 'Dante Kim'] | [] | ['firebase', 'ios', 'swift'] | 18 |
9,909 | https://devpost.com/software/community_cart | GIF
Log in screen
Chat
Schedule a pick up
Calendar
Chat
CommunityCart
About
The purpose of CommunityCart is to bring the community together by connecting users who live in the same area to collaborate on groceries pick-ups. During the Covid-19 pandamic, it is important that we isolate as much as possible and avoid crowding essential businesses. CommunityCart provides the community with the opportunity to help each other pick-up groceries and drop-off at their residences.
How are we different from Uber, Postmates, InstaCart, and other food delivery services? We encourage the community to connect and help eachother on a vonlunteer basis. It's not about profit, it's about building a strong community.
Technologies used: FireBase, Flutter
Features
Sign-up:
For new users, we require a copy of an official document such as driver license to ensure all users get the best experience.
Explore:
Using Google Map API. Users can see nearby registered users and view information about them such as their name, rating, and stores they frequently visit.
Chat:
Users can have one-on-one messaging and group messaging.
Rating and Report system:
We want to create strong, honest communities. Rating and report help us identify unhonest users and take actions quickly. After a pick-up, users within a group that participated in ordering can rate the user that pick-up their groceries.
Group:
Each group has its own calendar that users can use to schedule a time that allows someone from the group to pick up from a store. Each group also has a grocery list that users can add to and make changes up to the pick up date.
Built With
dart
firebase
flutter
kotlin
swift
Try it out
github.com | community_cart | The purpose of CommunityCart is to bring the community together by connecting users who live in the same area to collaborate on groceries pick-ups. | ['Saaketh Jasti', 'Praveen Harris', 'Trang Trần'] | [] | ['dart', 'firebase', 'flutter', 'kotlin', 'swift'] | 19 |
9,909 | https://devpost.com/software/no-rona | Sign in Page
Testing site locations
Donation page
Resources
Inspiration
We wanted to develop an app that could help people during these tough times. With the help of public resources and API's, we were able to put together No-Rona Antivirus to help people find resources and get the help that they need.
What it does
No-Rona Antivirus helps users find resources for the coronavirus. It features a collection of useful resources and links, a map to find testing locations, and a public donations forum to allow users to donate and receive donated goods during these tough times.
How we built it
We used React, Bootstrap, and Material UI for the frontend, and Firebase to host the web app.
Challenges we ran into
It was our first time using React Router, and managing the routes for the app proved to be difficult. It was also our first time using the Google Maps Geocoding API, but we eventually figured out how to use them to reach our end goal.
Accomplishments that we're proud of
We're proud of developing an app that can help the community get the help they need during these tough times.
What we learned
We learned about how to use React Router and how to use React Bootstrap, as well as the Google Maps API and the Google Maps Geocoding API.
What's next for No-Rona Antivirus
In the future, we hope to update No-Rona Antivirus with more resources to help people get the help that they need.
Built With
bootstrap
css3
firebase
geocoding
google-cloud
google-maps
html5
javascript
material-ui
react
scss
Try it out
no-rona-antivirus.web.app
github.com | No-Rona Antivirus | Antivirus for coronavirus! Helps users find resources for coronavirus. | ['Kevin Tam', 'siam132 Rahman'] | [] | ['bootstrap', 'css3', 'firebase', 'geocoding', 'google-cloud', 'google-maps', 'html5', 'javascript', 'material-ui', 'react', 'scss'] | 20 |
9,909 | https://devpost.com/software/culture |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
(function (d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
GIF
GIF
GIF
GIF
GIF
GIF
GIF
GIF
GIF
GIF
Inspiration
We are living in a time where everything is virtual, and we are restricted to do activities face to face. we wanted to build an app where people can learn from others and those who know can share their passions.
What it does
It is a social network where people can share tutorials, and also schedule live stream lessons. Were people can join together virtually and do the same activity with friends even if they are far apart.
How we built it
We only have a demo, of how the app will look. We used base html, CSS and java script
Challenges we ran into
timing
Accomplishments that we're proud of
Learning how to organize a page and the design of the website
What we learned
basically a lot of css
What's next for Culture
Culture wants to bring live stream of experiences to another level, where people can still feel like they are together doing the same activity, even when they are far apart.
Built With
css
html
javascript
Try it out
dscrutgers.000webhostapp.com | Culture | Culture is a new way to learn virtually from each other, experts in the field in any type of industry. You can come and watch tutorial videos about dance, science, gastronomy and many other fields. | ['wara Laura', 'Sergio Torrico'] | [] | ['css', 'html', 'javascript'] | 21 |
9,909 | https://devpost.com/software/tutor-app | Inspiration
Due to the current situation with the Coronavirus, many have been forced to complete their classes virtually. However, now more than ever, students need additional help to succeed in their courses. Our goal was to create a virtual tutoring system featuring a whiteboard, as it might in-person, along with video conferencing and a chat.
What it does
Our app, name still to be determined, will provide an interactive platform to schedule tutoring sessions with audio, video, and a whiteboard, making working between the tutor and the student easy and interactive. CURRENTLY, the only fully functioning feature is the live whiteboard, which syncs points between clients using the Firebase Firestore database.
How we built it
We built the app
quickly
, meaning many features are only partially working. We used a number of platforms, including Firebase Auth to authenticate users, Firestore for the real time whiteboard and storing user and tutor session data, React for the framework and responsiveness, Firebase Functions to clear the whiteboard and add timeslots, and Firebase Hosting to host our application.
Challenges we ran into
Not many of us knew react well, so overcoming that obstacle took quite some time. Furthermore, we had trouble creating a whiteboard that could record the points being drawn, and then storing those points into a live database and reading them back.
Accomplishments that we're proud of
We have a whiteboard system that works fully through Firebase Firestore, allowing both parties to use the whiteboard simultaneously.
What we learned
While working on this app, we learned how to work together as a team to build a web application, and along the way, we learned how to create and work with React Applications and utilize the Firebase platform to make advanced apps quickly.
What's next for Tutor App
Future plans include:
Fixing bugs involving drawing on the white board
Using Agora to enable live video conferncing
A fully function timeslot sign up page
Implementing an admin page to allow site/school admins assign students, tutors, and timeslots
Add a chat feature for uploading images
Bugs
STEPS:
1) Go to
https://hackdsc-tutor-app-b6bbc.firebaseapp.com/SignIn
and sign in with a Google account
2) Go to
https://hackdsc-tutor-app-b6bbc.firebaseapp.com/JAUyNoXA4MK1OjdiCVJN
to access the whiteboard
Built With
cloud-functions
css
firebaase-functions
firebase-auth
firebase-hosting
firestore
html
javascript
react
Try it out
github.com | Tutor App | Bringing interactivity to virtual tutoring | ['Benjamin Thaw', 'Felipe Sanchez', 'Nicolas Serna', 'Jose Baca Bustillo'] | [] | ['cloud-functions', 'css', 'firebaase-functions', 'firebase-auth', 'firebase-hosting', 'firestore', 'html', 'javascript', 'react'] | 22 |
9,909 | https://devpost.com/software/e-study-buddy-website-application | Inspiration
Due to the Covid-19 pandemic, students are left in their homes alone studying rigorous material from their university classes. They have no resources or collaborative tools to work with their peers on. With our E-Study Buddy website, students are given a free tool to study together through live video-call libraries and meet other students around the world who are studying similar subjects.
What it does
This tool not only encourages collaborative learning but also facilitates an online educational community. Students are able to work with any student, regardless of their school, to work on similar course material. This will allow students to see different perspectives on their learning material; therefore, they will learn more and see different ways of learning the material.
How I built it
The current design of E-Study Buddy makes use of Google's Firebase API to deploy the app. Various libraries are used to keep a database of the users providing input for the chat and who joins or leaves the video calls. This technology allows users to interact with each other remotely in a user-friendly way. We also added a sign in feature through FireBase that allows the database to keep track of users and their discussion inputs.
Challenges I ran into
As college students who recently made the transition to "Zoom University," we recognized that there are many different solutions to the issues of remote-learning. Thus, we decided to create a tool that enables private video-call study sessions and 24/7 live-stream libraries to account for those in different time-zones. Additionally, since most students have access to a computer and require the internet to complete their work, we believe E-Study Buddy will reach more people and be most effective as a website.
Our challenges mostly comprised of time constraints because we didn't have enough time to work on the back end of our application to allow the video chatting to work. We also had difficulties with working together whether one person coded and screen shared their computer or everyone worked on separate functions. We ended up doing a little bit of both and it worked well!
Accomplishments that I'm proud of
I am immensely proud of our team because this was all of our first websites ever. We had very little javascript background and we ended up creating the basics of a great website. We all learned a lot and had fun together.
What I learned
Our team learned almost everything that we created. This was our first website and our first JavaScript coding experience.
What's next for E-Study Buddy Website Application
Next for E-Study Buddy, we will continue to work on our website and start the backend aspect to allow video calling to work. We believe in this website and know it has great potential to be the next wave of study techniques.
Built With
firebase
html
javascript
Try it out
studybuddyapp-7da8b.firebaseapp.com | E-Study Buddy Website Application | During this pandemic, the need for online education tools has increased. Students are at home without libraries or resources. E-Study Buddy provides collaborative resources and study techniques. | ['Hanna Ekholdt', 'ashleylin1', 'Juan Santillan'] | [] | ['firebase', 'html', 'javascript'] | 23 |
9,909 | https://devpost.com/software/coronaconnect | .
Built With
ajax
bootstrap
css3
firebase
flask
html5
javascript
jquery | . | . | ['Irfan Nafi'] | [] | ['ajax', 'bootstrap', 'css3', 'firebase', 'flask', 'html5', 'javascript', 'jquery'] | 24 |
9,909 | https://devpost.com/software/coronavida-lduoa7 | Inspiration
We were really hit by the pandemic and we saw how it absolutely shut down the world. We realized that we will eventually have to start opening back up certain parts of the city to make the economy roll again, so we wanted an app that would help us do "smart distancing" by avoiding places that are potentially contaminated and limit the number of people that will be infected.
What it does
This project wants to localize potentially contaminated places on a public map so that users can see where there are potential cases of covid and avoid going there. They also have a private map where they can mark where they have been in the last 14 days, but this data will not be shown on the map unless they are confirmed to be covid19 positive.
How we built it
We used HTML and JS to create a two pages that are not linked at the moment, but ideally should be. One of them contains a public map with data from infected areas by people who are confirmed or suspected of being COVID19 positive. We used Google Maps API for both maps and Firebase to authenticate users and store their data. We also asked for help from one of the Hack DSC mentors and I was so pleased with how helpful and sweet she was! We also used XD to create the visual of how the app would be and analyze the actions that would need to be developed. We started on Flutter, but we think we will be done with that next.
Challenges we ran into
There were a lot of challenges that we had to face. We had both never made a website before and had not used HTML, JS, GCP, or Firebase. We thus had to learn a lot about how to manage data and users with Firebase. I would say that it took the majority of our time, but we are so happy with what we were able to do in such a short amount of time!
Accomplishments that we're proud of
We learned a ridiculous amount of things in 48 hours. We learned HTML, Firebase, JS, GCP, xD, Bootstrap all by self-driven motivation. We are so proud of having been able to program a way for users to have an interactive individual map that saves their data and that allows them to mark where they have been. A lot of functionalities are still not there (like when the user was at said place), but we are confident that with more time we will be able to integrate them all.
What we learned
We learned how to use all of the software/platforms/languages mentioned above and we also learned how to work more efficiently. Working from home (at a distance) made us be more organized and, from the start, we set up a rough timeline that we wanted to follow to ensure that we would have something functional by the end of the hackathon.
What's next for CORONAVIDA
We first would like to make the website functional, as right now the HTML links are not fully functional. We want to upload it to a public website and make an app too to help our community in Montreal (for now). We want to work in collaboration with health authorities to promote the website and app to everyone so that we have a larger collection of data. We would also like to include, in the public map, local businesses near each user to encourage the local economy. We have fallen in love with our project and we want to pursue it until it is fully finished. We envision that in the next month or so we would be done with a first final prototype.
Built With
css
firebase
gcp
html5
javascript
materialize
xd
Try it out
github.com | CORONAVIDA | Smart Distancing in the Time of COVID | ['Marianick Benoit', 'Antony Diaz'] | [] | ['css', 'firebase', 'gcp', 'html5', 'javascript', 'materialize', 'xd'] | 25 |
9,909 | https://devpost.com/software/medibuddie | MediBuddie
MediBuddie
The Highlight
An image-text recognition app based on Google APIs which tells you all the information you care about for a medicine. We use FDA's API to get the information to you.
The Inspiration
Due to the current pandemic, not everyone has access to a doctor. Here's where MediBuddie comes in action. And in a lot of cases, taking the wrong dosage or medicines could be a fatal thing to do, especially for the elderly. The developers live away from their homes and have, many a time, found themselves in situations when they are either skeptic of medicine or don't know what medicine to take for the most common health issues. Talking to the community around them back home, they see that because of the inaccessibility of doctors, many people take medicines of common knowledge on their own. While our app does not suggest medicines based on any symptoms, it does validate the use of a certain medicine.
Additionally, one can also use this app to clear any suspicion they might have regarding a medicine prescription. Later, we'd also be implementing "Nearby doctor consultations" and an option to buy the particular medicine at the "Nearest store".
The Process
The app begins with the disclaimer and the instructions page. On continuing through these, we get to the main part of the application which is the camera page.
Using Optical Character Recognition, the foundation of the app was built. Specifically, the app could read the text out of an image, allowing us to read the contents off the medicine. This then went to text processing API and removed the "weed" out of the text and sent it to the FDA API. This fetched out the information we needed and put it in the presentable form.
Locally, we then store this data into your "search history" for faster access next time. This uses some local memory which is minimized by using references for these searches.
We used flutter and integrated it with Firebase. We've developed this application by using a majority of Google's APIs and other APIs to support the work.
The Challenges
One of the major roadblocks for us was communicating with one another during the event. We tried various methods of audio and video calling, used services like Discord and Slack, but ultimately, we used VS Live Share and VS Live Share Chat to talk and discuss the implementation. It also helped that we were able to look at each other's code in real-time to find any bugs that we overlooked.
Another major hurdle was finding the database to do find the drug. We used several online sources. One of the team members made a
Web Crawler
(based on Python) create a database so that we could use the app offline. However, after almost implementing it, we decided to scrap that idea and use FDA's API.
The Learning
The team members, both freshman, intended to participate in the hackathon for the learning of it. It is almost trivial to mention that participating and attending webinars were fun, but this project helped us see the "work from home" concept first hand. We got through the challenges of working online, learned a lot about APIs and app development.
Finally, for me, this documentation is a very unique experience. I would just like to take a few characters to mention how this writing is both enthralling and new.
The Business Model
We have created a working application that connects and lets you know about the medicine you have. Now, we can further this implementation to make it a "store" of sorts. When you have a medicine or you search for a particular drug, you'd probably want to buy it. There comes the app. The app connects you to your local medical store and helps you call/place an order with them. We are also looking to add a directory for doctors which one could use to get
one time, instant
advise or set up an appointment, both online and in-person.
This could create revenue for us by store commissions. We could also charge a small fee to connect to a doctor. Bootstrapping can be done in a small town like Davis. We could also talk to pharmacies and get them on board with this by providing them with an existing user base.
The Road Ahead
In the limited time that we had during the event, the team created a working application and created a business model. However, in the upcoming days, we are looking forward to implementing the business model we have created and looking to improve/redo the UI. It would require us to implement GPS locating, meeting up with the stores, and doctors interested to get on board. We could bootstrap and possibly start talking once the situation around the world normalizes!
Built With
dart
flutter
kotlin
objective-c
swift
Try it out
github.com | MediBuddie | What do you do when you have doubts regarding a medicine? Well, MediBuddie's got your back. You now have the effects, side-effects and the general pricing of all your medicines at your fingertips! | ['Parth Shah', 'Keshav Agrawal', 'Divyansh Garg', 'Gaurang Agarwal'] | [] | ['dart', 'flutter', 'kotlin', 'objective-c', 'swift'] | 26 |
9,909 | https://devpost.com/software/imetu | Quick View
iMetU
On of the biggest challenges that came up in current COVID-19 pandemic is tracking of who came in contact with whom to predict who can be infected. Social distancing has become a must in such times and thus there is need of an app that can tell us when and where it is safe to be.
We developed iMetU app to solve this problem to some extent by using location data. The app is very easy to use and does not requires any login.
Use case scenario:
Larry decides to go for groceries. But he wants to know if the place is crowded.
Larry opens app and put in destination location in search bar.
After map shows the marker with the location searched, Larry presses "Get Neighbours" button. It displays how many people are there in the vicinity of his destination shop. Based on the informationapp suggests if it is OK to go now or not.
Larry searches again and finds it is safe now to go to the shop.
Larry moves out of his home for groceries.
He starts location sharing by pressing "Start_Sharing_location" button.
When he reaches store, he presses "Get Neighbours" button to know how many people are in his close proximity.
If there are too many people withing close proximity, app alerts Larry to move away from the place.
Larry reaches home and stops location sharing using "Stop_Sharing_Location" button.
USP of our app is that no login is needed to use. App uses device-ids to differentiate between users. We have a Search option, so that user can search a location and can check beforehand before going, how many people are there and what is the average proximity between two people. If the average proximity is less than 500m, app suggests not to go.
Built With
java
Try it out
github.com | iMetU | iMetU is an app to keep track of who came in vicinity of who to predict spread of COVID-19. It tells in real time how many people are at a location and how safe there to go and not contract infection | ['shivam tyagi', 'Akash Budholia', 'Charulata Lodha'] | [] | ['java'] | 27 |
9,909 | https://devpost.com/software/hack-dsc-2020-10pr37 | Result Page
Home page
Inspiration
Its hard to do innovative things in Lockdown but our enthusiastic thinking always keeps us to do more innovation, as we have seen for the Corona Test Result normally it takes a longer time and that makes us think in this direction.
What it does
Giving result from x-ray scan that patient is infected with COVID-19 or not
How I built it
Using Computer vision, deep learning, and AI we developed Alogrithem which detects the infection in a chest x-ray.
Challenges I ran into
Making the AI Model from a very fewer data set, with the help of Google Cloud Platform we build it and solve it.
Accomplishments that I'm proud of
We got 90% of accuracy and 80% precision with our algorithm.
What I learned
We are learning new tacts for the Image processing and model development along with scalability.
What's next for hack-dsc-2020
We are planning to implement ChatBot where we got inputs from the patient and we can get improvement that to enhance results.
Built With
computer-vision
deep-learning
google-cloud
python
react
Try it out
darshshah.me | hack-dsc-2020 | Covid 19 Detection by X-Ray using AI | ['Harsh Panchal', 'Mohamad Merchant', 'Darsh Shah'] | [] | ['computer-vision', 'deep-learning', 'google-cloud', 'python', 'react'] | 28 |
9,909 | https://devpost.com/software/sms-edu-d8cbm9 | “The information age”. A common phrase used to describe the overload of information available to the general public today. In this era, information is available to anyone given that they have access to the internet. Without this access, the gateway to an unlimited source of information is blocked, and a solution is desperately needed.
Thus, SMS.edu was created to provide mathematical assistance, as well as real time reports regarding the news. By providing an easily accessible source of information without the need to be connected to the internet, the options are endless. This idea could branch out to whole Wikis being available to people offline, as well as restore the lost connection between offline individuals to the unlimited source of information this era is known for.
Impact
SMS.edu is a tool that makes education resources significantly more accessible to those with no Internet and those living in censored areas. It is quite common for an area to have no broadband Internet connection but still have phone lines. Keeping this in mind, we were able to create something that allows for unrestricted access to information through sending a text.
Technology
We started out by setting up the Twilio API on a Flask Python server, which we ran on GCP. We then linked it up to the Wolfram API and News API to allow users to send commands to the server through SMS and receive their information as a response. Finally, we linked everything up in a simple-to-use navigation flow.
Implementation
Our idea turned out very well and we were able to complete it entirely within the time that we had. SMS.edu is stable, simple, and polished. Currently, our app puts out truncated news due to the News API’s free plan, but this is simply a proof of concept and we were able to show how your access to Internet and education can be limitless with SMS.edu.
As mentioned before, this project could be expanded immensely with its gargantuan potential. By adding wikipedias, thesauruses, dictionaries, and more, a whole world of information can be provided to offline individuals -- just by hitting Send.
Built With
flask
google-cloud
python
twilio
wolfram-technologies
Try it out
github.com | SMS.edu | A powerful tool that provides education and news support over text message. | ['Rohan Shetty', 'Matthews Ma'] | [] | ['flask', 'google-cloud', 'python', 'twilio', 'wolfram-technologies'] | 29 |
9,909 | https://devpost.com/software/active-covid-19-clinical-trials-tracker | Running on Android
Inspiration
We were inspired to make this mobile app as we wanted to do a project related to the treatment of the COVID-19 virus. After reading articles about unreliable information for COVID-19 online, we wanted to create an app that only uses information from an official source, the World Health Organization, so that people can know what types of accurate clinical trials are being done in the world and not get misled.
What it does
This mobile app tracks any active clinical trials dedicated to developing a vaccine or cure for the COVID-19 virus. The user can scroll across a world map generated from the Google Maps API, where markers are located to indicate what clinical trials are being done in each part of the world. All of this information was obtained off of the official WHO organization website through an updated spreadsheet. If the user taps on one of the markers, it displays a popup containing the title of the clinical trial and a link to their website containing more information. If the user taps on the popup, it will instantly take them to the respective website. The user also has options to zoom in and out of the map.
How we built it
We utilized the Flutter framework and Google Maps API to create this app. We got the information for the clinical trials off a spreadsheet on International Clinical Trials Registry Platform (ICTRP) section of the WHO organization website (
https://www.who.int/ictrp/data/en/
), and we converted it to a JSON format. We then had some functions to read off this JSON file and make "Trial" classes for each entry, where we could then use the information to plot markers on the Google Maps.
Challenges we ran into
This was the first time we worked with Flutter in a remote team environment developing a mobile application. It was difficult at first to find a way to collaborate with each other and it took a long time to set up. At the end, we utilized Visual Studio Code's live share for real time collaboration,Git and GitHub for version control, and we communicated using Facebook messenger.
Accomplishments that we're proud of
We are very proud of the fact that we managed to develop a helpful mobile application using Flutter. We just started learning about Flutter the week before this hackathon through videos on Linkedin Learning and Youtube, and we wanted to get our hands dirty right away making an app to practice our skills. We are also happy that we made a useful app that can provide reliable accurate data about the clinical trials being performed for the treatment of COVID-19 as we noticed there was no mobile application currently being made for that purpose, and we hope this application can be of help to people.
What we learned
We learned how to work in a remote team environment, how to make an iOS/Android/Web application with Flutter, and how to utilize the Google Maps API on Google Cloud.
What's next for Active COVID-19 Clinical Trials Tracker
We were planning on adding more features after this hackathon. We were developing a Web version of the application using Flutter as well, but unfortunately we were not able to finish due to incompatibilities between the Google Maps plugin for mobile and web, so we want to finish this Web version sometime. One of the features we also wanted to add was a histogram that shows the distribution of clinical trials per country.
Built With
android
dart
flutter
geocoder
google
google-cloud
google-maps
ios
json
web
Try it out
github.com | Active COVID-19 Clinical Trials Tracker | This iOS/Android mobile app tracks all active clinical trials dedicated to developing a vaccine or cure for the COVID-19 virus. It was developed using the Flutter framework and Google Maps API. | ['Van Minh Ngai', 'Keerthana Madhavan'] | [] | ['android', 'dart', 'flutter', 'geocoder', 'google', 'google-cloud', 'google-maps', 'ios', 'json', 'web'] | 30 |
9,909 | https://devpost.com/software/banana-qk68m0 | Inspiration
I was inspired to make this app to be able to help people who are visually impaired or have some form of disability to be able to interact more with the world. I realized that it is rather difficult to shop when you are visually impaired, and most individuals get assistance from store workers if they go to the grocery store. The idea is that they can use their phone's camera to capture images that are labeled according by training images with machine learning. Then with some form of headphones they can click on the screen to have the labels converted to speech.
What it does
Takes an image from your pictures or google drive to return the top three label results. These are taken from the Google cloud platform where they have pre-trained models. In addition, if you click on the button at the bottom it will convert the labels to speech with the confidence.
How I built it
I built it with Dart Programming with my favorite IDE Intellij. I used the flutterfire plugin for bringing firebase into the project. I implemented Google Cloud Platforms ML-kit from flutterfire which is the SDK for Google Vision AI for apps. I used used flutter_tts for the text to speech of the labels.
Challenges I ran into
There were a couple problems with getting flutter to work. Then one big problem is that there turns out to not be any Google Cloud Platform text to speech for flutter. It had an api for other programming languages. But I could not find. I spent lots of time trying to get that but I had to use the flutter_tts from dev.pub.
Accomplishments that I'm proud of
I just wanted to finish my first hackathon after I was a bit late starting and didn't really get to join any teams. I am proud of hacking my first app in the dart programming language with flutter framework. I am proud of getting the ML-kit to work with my project and for being able to implement the text to speech.
What I learned
I learned about google cloud platform, firebase, vision AI API, flutter framework, and dart.
What's next for banana
Integrating the camera into the app, so that you can take pictures and then it labels those images instantly and converts to speech the top three labels. I need to test it a little more in ios. I also want to add another feature for detecting text in images. Improving the labels to include more useful information about the images, especially if I continue going in the direction that it's main purpose would be to assist those who are visually impaired with grocery shopping.
Built With
dart
flutter
google-cloud
intellij-idea
Try it out
github.com | banana | The app for labeling images and groceries with speech. | ['Todd Chaney'] | [] | ['dart', 'flutter', 'google-cloud', 'intellij-idea'] | 31 |
9,909 | https://devpost.com/software/minority-scholarships | Example of firebase database.
Inspiration
Our MESA engineering club director likes to send the students an excel sheet with scholarship links and resources. However, the excel sheet is usually out of date and will oftentimes link to 404s or scholarships that have long passed their due date. We also noticed that scholarship resources for Dreamers are especially impacted by this. We wanted to make a page that can be updated with scholarships and be specialized for different minority groups. We believed in making dedicated pages for different groups so we started off by making an example of a Latinx Scholarship resource page. We are also especially unpleased with sites like Unigo and Scholarships.com which require users to sign up and potentially join their mailing list. We believe in having a dedicated page where students of different groups can continuously go to in order to keep up to date with scholarships tailored for their needs.
What it does
The page displays a table of scholarships alongside their due date and reward. Users can then click a button to sort by Name, Date, or Reward which could be useful if the table gets long enough. From there they can click the link to apply to the scholarship.
How we built it
Using firebase, we store scholarship data in a database that will be called on by the website to display to the user. The data includes the URL, the name, the due date, and the reward money. From there, we convert the data onto a table within the page to then begin displaying to the user. However, if the scholarship is past its due date, the page will not show the scholarship to the user. Users can then click on the name to go to the respective scholarship application page. The buttons call a function to allow the page to sort by a string name, a number reward, or a date object.
Challenges we ran into
Since this is the first time we have ever used Firebase, we ran into some problems setting it up but we managed to complete it. In the meantime, we temporarily used a JSON file to contain the data until we figured out how to use Firebase.
Accomplishments that I'm proud of
We learned firebase and we finished a working prototype on time.
What we learned
We learned how to use Firebase. We plan on using it for many projects to come. Now that we understand how to use it and what it can potentially do, we can't wait to put the features to the test.
What's next for Minority Scholarships
We will begin working with our MESA director to test out the page with a small user group at our school which can help us gather feedback ideas for features.
We plan on updating the UI elements to be more appealing while also adding new pages and features.
We want to add a scholarship advice tab to help with scholarship applications for minority groups who may be 1st generation, college students.
After that, we plan on getting help to gather and maintain a large scholarship list in order to facilitate pages for African Americans, Asian Americans, Dreamers, and other minority groups.
We hope to build-up to the point where scholarship offerers begin contacting us to submit their scholarships on our page.
Built With
css
firebase
google-cloud
html5
javascript
Try it out
xavierloeraflores.github.io
github.com | Minority Scholarships | Scholarship resources tailored for disproportionally disadvantaged minority groups | ['Xavier Loera Flores', 'miguelgutierrez2017'] | [] | ['css', 'firebase', 'google-cloud', 'html5', 'javascript'] | 32 |
9,909 | https://devpost.com/software/challengevid | Logo of the project
Inspiration
People run behind accepting the challenges that are worth nothing (e.g. Kiki challenge). So we can list all the challenges people are facing in this pandemic and challenge people to help them. Just like people challenge people to do worthless bottle-cap challenge
What it does
It allows people to mark issues they are facing in their area or in some other world.
How I built it
I built it using PHP as backend and HTML/CSS/Bootstrap for front-end
Challenges I ran into
Time constraint
Accomplishments that I'm proud of
The completion of main functionalities
What I learned
I learned how much a team support is neceessary and how to develop projects in lesser time and some other techs as well
What's next for ChallengeVid
To integrate other necessary features like the payment collection from heroes
Built With
ajax
bootstrap
css3
html5
javascript
jquery
mysql
php
Try it out
challenge-vid.000webhostapp.com
github.com | ChallengeVid | Challenge people to help people | ['Anubhav Kumar'] | [] | ['ajax', 'bootstrap', 'css3', 'html5', 'javascript', 'jquery', 'mysql', 'php'] | 33 |
9,909 | https://devpost.com/software/block-covid | Fund Allocation
Decentralized Marketplace
Marketplace Account Details
Transactional Confirmation
Inspiration
Our work upon this project was inspired by the research paper we wrote (
link
) back in March 2020 ,which was to be presented at The International Conference On Innovation In Science And Technology (ICIST-2020).
In today's economy, the increasing demand for digitization is due to government initiatives.Surprisingly, transportation is currently highly dependent on paperwork that has not been securely digitized. Shipping information usually travels through numerous companies and contractors, which is something that should be avoided during this ongoing COVID-19 pandemic.
Keeping in mind, a late approval or a lost form can leave goods stuck and lead to further delay for the transportation of necessary goods to the COVID-19 hotspots.
Thus, inefficient product procurement processes can account for more damage.
A supply chain blockchain could boost transparency, trust and predictability allowing regional offices to track where a shipment from the central government is at any given time.
What it does
Since, a blockchain is an immutable ledger, changes in possession and ownership of goods as they move from their producer to their point of retail could be entered into the ledger instantaneously and permanently.
Because a blockchain is decentralized, it has no single point of failure.
Dispute resolution rules could be agreed upon beforehand and applied instantly on the blockchain when necessary.
Blockchain can help regional governments realize the digital supply chain by providing a “single version of the truth” for the entire supply chain.
By sharing important information such as sales data, COVID risk levels, order and shipment information, companies can eliminate information delays and the uncertainty that contributes to “the bullwhip effect” and inflates the safety stock price.
With all regional and central government offices posting to a common ledger, citizens can gain visibility to their entire networks, from their regional offices to their central offices.
This enables them to foresee problems and address them, resulting in a smoother, more efficient supply chain.
The Block Covid app allows:
1. Affordable high-quality quotes from the source
2. On-demand purchasing, tracking and reordering.
3. Secure transactions and communications through smart contracts.
4. Direct connection to the regional manufacturing facility
5. Incentives for pricing quotes quickly.
How we built it
We used Ganache to create a local blockchain instance. For writing smart contracts using solidity we followed the ERC-20 standard instructions to create a standard API for tokens within smart contracts.This standard provides basic functionality to transfer tokens, as well as allow tokens to be approved so they can be spent by another on-chain third party(In this project : Metamask).This facilitated decentralized exchanges.We used web3.js to establish an interaction with a local or remote ethereum node and React.js for building the user interface.
Challenges we ran into
Managing Decentralization
Enabling blockchain technology to support decentralized applications managed by separate regions, and centralized, industry focused exchanges at the same time, required us to think and come up with an efficient model which turned out to be slightly complex.
Data Complexity
A blockchain application stores every transaction in a distributed ledger, which can add up, particularly when it is used by multiple parties.These factors can lead to larger data structures that each regional government might have to manage.
The supply chain's side of the network must include context for transactions, such as a purchase order, the owner of the materials, the timestamp and the equipment, to effectively operate at scale.
To overcome this problem, we created a common wallet network for transaction management which largely reduced the data complexions.
Need For Smart Contracts
Blockchain applications are written as smart contracts that could help streamline supply chain management processes that cross organizational boundaries. We wrote our own smart contracts in order to fit certain corner case transactions.
Accomplishments
As stated above, we had previously researched about designing a blockchain model, but we implemented the same within a weekend along with a decentralized marketplace. We wrote our own smart contracts which accounted for secure transactions and on-demand purchasing.
What's next for Block COVID
To implement more ERC-20 Standard functions and improve the smart contracts architecture for secure transactions and communication. Addition of real-time shipment tracking and a direct connection to the regional manufacturing facility would increase the network of manufacturers. Post Covid, the established blockchain network can be used to create a more efficient supply chain eliminating inefficient product procurement processes and reducing the uncertainty that contributes to "the bullwhip effect".
Built With
ethereum-blockchain
ganache
html/css
javascript
metamask
node.js
react
solidity
truffle
Try it out
github.com | Block Covid | Decentralized supply chain app implementing a blockchain network for regional-asset tracking and funds allocation to the pandemic hit regions | [] | [] | ['ethereum-blockchain', 'ganache', 'html/css', 'javascript', 'metamask', 'node.js', 'react', 'solidity', 'truffle'] | 34 |
9,909 | https://devpost.com/software/donaid-2l540c | Main Image (Undraw.co)
Original Three-Tier Architecture Image
Inspiration
Starting with the originating idea of "A relief donation/seeking system to help the society in this pandemic" given by our teammate Ebtesam, we slowly began to expand the idea into becoming more broad and not just confined to COVID-19. We then went through a few iterations (messaging service, professional guidance, etc.) before arriving at what we agreed up to be the best possible solution; peer-to-peer donation brokering.
What it does
DonAid seeks to match two given users (givers and receivers) in a one-way mirror approach; Givers know who the receivers are, while receivers do not know who the givers are. Receivers are individuals suffering from short-term financial hardship and are looking for funds to help them get through uncertain times. Givers are individuals looking to send funds to those most in need. For the complete description of DonAid, please visit our GitHub repository and check out the
README
.
How we built it
After passing through a few iterations of the idea, we had the original intention of building out the architecture such that we would leverage Django on the back-end via the Django REST Framework, but realized the cross-over between JavaScript on the front-end (which would be/is React.js) and Python on the back-end would be too cumbersome, which is why we ended up going with Node.js/Express.js on the back-end. From there, we realized we needed some sort of data store to hold all the different users information. Due to potential unforeseen implications regarding the schema and attempting to mitigate any future problems we would run into, we attempted to go with a NoSQL solution via Firestore on Firebase that gave us a flexible schema to make early, quick mistakes with. A full diagram of the original three-tier architecture can be seen in the image gallery.
Challenges we ran into
We were unable to get authentication along with session management working. 3/4 members of the group had never worked with Node.js/JavaScript before, so there was a learning curve associated with picking up the language and the run-time environment. We also were not able to fully implement Plaid and Stripe (although you can see Plaid has been leveraged in some of the routes if you use the username user_good and the password pass_good when authenticating with any financial services institution on Plaid). We were also unable to get the image uploading service implemented via GCP Cloud Storage.
Accomplishments that we're proud of
As stated above, 3/4 members of the team had never worked with Node.js/JavaScript before, which is something the members should be very proud of. To have been able to immerse ourselves in a full-stack project and to see how all the different services feed together to orchestrate a single application was incredibly insightful.
What we learned
We were able to pick up a lot of skills in the 36 hours the hackathon went on for. The pressure-cooked learning environment where the thesis is "Just build." allowed for agile movement in the context of the tools we were able to pick up and build with.
What's next for DonAid
If DonAid was to turn into a profitable business endeavor, we would have to alter the model in a way where in place of 100% of the funds being sent to the receivers, we would take a small portion (5-10 basis points) on every transaction for having brokered the giver-receiver relationship, which would then be reinvested into the business to expand the product further.
Built With
ant-design
antd
appengine
express.js
firebase
firestore
gcp
node.js
plaid
react
stripe
yarn
Try it out
github.com | DonAid | DonAid is a donation brokerage platform that matches those who are most in need with those who are willing to give. | ['William Leiby', 'Edmund Lui', 'Adams Anaglo', 'Ebtesam Haque'] | [] | ['ant-design', 'antd', 'appengine', 'express.js', 'firebase', 'firestore', 'gcp', 'node.js', 'plaid', 'react', 'stripe', 'yarn'] | 35 |
9,909 | https://devpost.com/software/covi-4avwyc | .
Built With
. | . | . | [] | [] | ['.'] | 36 |
9,909 | https://devpost.com/software/dao-tv | Moderation Page
Donations
Metamask Login
Video Upload
File selector
Feed
Ganache, smart contracts
Work Flow
IPFS Planning
Logo
Inspiration
DAO.tv is inspired by a pressing issue in today's society. Given the last few years, it is evident that platforms such as YouTube bare a great responsibility. This responsibility is to serve the community of content creators and users alike with a fair environment that promotes freedom of speech and expression. The issue lies that YouTube has broken this responsibility countless times in years. Whether it be unfair algorithms, shameless removal of certain fair content, or prioritizing content that produces greater interest of advertisers, it is clear YouTube and other monopolistic tech giants cannot be trusted. To make the situation worse, content creators do not have a better choice than to put up with YouTube. YouTube has 0 competition that offers the attention certain content creators need. This is why they are allowed to essentially bully the entire user base. In fact, recently, YouTube has been strict regarding the removal of false COVID Content. The issue here is that YouTube becomes oppressive, and their rules of what counts as "misinformation" is a grey zone. They have proven to overstep their ability, and in the end it's the content creators that are hurt, without the ability to fight back.
What it does
DAO.tv is an entirely independent ecosystem, that does not rely on any central servers or databases to stream video files. We also applied the Decentralized Autonomous Organization concept to the moderation and user rule features. Users are anonymously moderating the website's content, as well as being responsibile for democratizing the rules of the platform. The ecosystem we created is completely self sustainable, as the Content Creators store video files across decentralized nodes.
We incentivize users to host these nodes by offering a Crypto Token reward. There are multiple ways on the site to earn the Crypto Token, also known as DTV. DTV is earned by users who anonymously review reported content. Multiple people can review reported content, determine whether the offensives are legitimate, then receive DTV as a reward for their moderation. We implement a Staking system in order to prevent abuse of this system. Users stake an amount of DTV in order to participate. The users who appropriately identified the select verdict receive the reward, meaning that bots and abuse cannot realistically make money through spamming the system- only truthful real humans that review the videos accurately can receive these rewards.
This DTV would be used to purchase ads and premium content on the site. The second function for DTV is donations. Users can donate DTV to other content creators as a form of a tip- similar to a twitch donation. That said, the crypto reward, which has real $ value, is a way that we can make this sustainable system possible. Crypto incentives is what drives the platform to remain anonymous and fair, while giving back good rewards for outstanding content, and fair moderation. With the lack of a central owner and server, DAO.tv fosters the most secure, fair, and prosperous community for it's content creators. We like to say it's for content creators, ran by content creators.
How I built it
Our tech stack was very, very complex. The blockchain infrastructure and computing systems is the backbone of this project. We used nested IPFS hashes in order to organize video files, video information, and other content into a manner that can be efficiently called by our front end. Our front end is made with react, and we used fetch api, and axios in order to interact with our very extensive back end. Our back end features multiple endpoints, 2 of which are dedicated to database infrastructure One of the contracts handles data related to the moderation system (such as voting), and the other handles data related to video files. The way we planned our "database" though is completely decentralized. We created two smart contracts solely for holding references to IPFS. We can call the methods on the smart contract to constantly update this hash with new content, and call get() methods to receive the hash. We created algorithms to parse and add new information into a json-estique format within ipfs. We had to cleverly organize it in a way that each new hash on the smart contract is a collection of the previous hash data, plus any new data (such as videos).
Our other main smart contract handles all the crypto token data. We opted for a simpler version of the erc-20 token. We have 2 main end points that handle the interaction with this smart contract. We can essentially take any wallet address, and distribute a small amount of DTV upon call to the api. The call to the api is dependent on other events, such as moderation reward distribution. We can also send DTV tokens from user A to user B (such as a donation). We also use this smart contract to keep track of all owners of DTY, and their account balances. This way we can continue to update the DTV balance on the client side, while preventing over-spending, or similar issues.
We used ganache and truffle framework to deploy and develop our 5 smart contracts. We used the remix ethereum ide to develop our smart contracts, test them, and interact with the contracts during development. We used metamask as our web3 provider and injection. Metamask is a secure way for us to manage log in to the web platform. It is also the way in to which the user can utilize the DTV, and participate in the ecosystem.
Challenges I ran into
Our group ran into COUNTLESS tedious issues. Most of out issues stem from the fact we are using bleeding edge, not always well documented technology. Our first major problem came in the form of web3 implementation in the back end. Our server was simply not interacting with the smart contract functions correctly for hours. We could not get web3 to work, so eventually we had to switch to using the ether.js library for the server. The second large issue was planning the infrastructure of this project down the road. It was quite difficult to visualize the methods and the structure/flow of the data. We had to plan out nested ipfs data structures. The collaboration software we used also caused some issues that didn't allow us to properly render images. We had to eventually use firebase to host images in order to render them(lul). The last major problem that we had was structuring the token contract. We had to play a lot with the contract in solidity before we got it working.
Accomplishments that I'm proud of
We are very proud of the technicality of this project, as this is definitely tech wise the hardest project we had to do. We are also proud to have built something that has real application, and real potential. Lastly, our skill to pick up ideas and problem solving ability effectively along the way is something else we are very proud of.
What I learned
We learned about structuring data in a decentralized manner was a huge learning curve. We also learned we cannot run ipfs on multiple nodes on the same computer at once. We also learned about retrieving data from IPFS and how to do it effectively. We also learned how to plan out and execute token distribution to users. Security and moderation issues were also very important learning points during this project. Overall, this was a very long process of problem solving, and given the complexity of the project, we all learned a little about patience- through a lot of debugging!
What's next for DAO.tv
DAO.tv is looking for it's next steps through interacting with a tes tnetwork, instead of local blockchain. Using the test network opens up the possibility of deploying, and expanding the capabilities of the site.
Built With
axios
blockchain
css
ether.js
express.js
fetch-api
firebase
ganache
html
ipfs
ipfs-mini
javascript
materialui
metamask
node.js
react
remix
solidity
truffle
web3
Try it out
github.com | DAO.tv (Decentralized Autonomous Organization TV) | DAO.tv is a decentralized video streaming platform. Utilizing gamified moderation/hosting system, our platform runs independent of central servers. Made For content creators, ran by content creators! | ['Kevin Gao', 'Aditya Keerthi', 'Daniel Yu'] | [] | ['axios', 'blockchain', 'css', 'ether.js', 'express.js', 'fetch-api', 'firebase', 'ganache', 'html', 'ipfs', 'ipfs-mini', 'javascript', 'materialui', 'metamask', 'node.js', 'react', 'remix', 'solidity', 'truffle', 'web3'] | 37 |
9,909 | https://devpost.com/software/data-visualization-and-crowd-analysis-using-ml-techniques | Splash screen
User app Home page
User App- Home screen
Website Home page
Admin app - Authentication
Admin app - Set limit
In recent years, the human population is growing in extreme rate and hence the growth has indirectly increased the incidence of the crowd. There is a lot of interest in many scientific research in public service, security, safety and computer vision for the analysis of mobility and behavior of the crowd. Due to a crowded crisis, there are large crowds of confusion, consequence in pushing, mass-panic, stampede or crowd crushes and causing control loss. To prevent these fatalities, automatically detection of critical and unusual situations in the dense crowd is necessary. People visiting various malls and students studying in universities face a lot of difficulty because of the rush. So far there has not been any significant improvement to tackle this problem effectively. Our project aims to tackle this issue by providing a system for collecting, processing and visualizing the crowd behaviour. The end result of our system is a web and app user interface where users can browse through a range of information related to the crowd distribution and crowd movement within a campus and a city.
This project combines the power of Wifi devices, Big data, Machine learning and Data Visualization techniques to promote smart living and management. The main idea of this project is to analyze the CCTV in real time and tracking the Wifi probe requests of users for automatically sensing the crowd distribution and to provide statistical data to the users. The use of big data is to analyze and predict the level of crowdedness among the various places in the city and inside the campus also. It also captures the crowd movement to locate critical and crowding spots effectively. Furthermore, it monitors the crowd conditions and waiting time at important locations such as bus stops, railway stations, airports, religious places, campus canteen and uses Artificial Intelligence techniques to predict the upcoming crowd. For example, people can check the current crowdedness conditions and waiting time at bus stations and make smarter decisions on their mobility. Through big data analysis, people can not only compare the crowdedness but also can avoid the peak hours by AI prediction.
In this Pandemic situation, Social distancing is in much importance, without which there is a high risk of people getting affected by the virus. So we can use the surveillance cameras that are available at many location and compute, analyze the crowd density of a particular location. If the crowd density of a particular location is found to be greater than the allowed crowd density, we can alert the police authorities and it would be a great use for them to track the people who are not following the rules that are put forward by the government ie, we can prevent large crowd gathering which may lead to more people getting affected.
Crowd detection and density estimation from crowded images have a wide range of application such as crime detection, congestion, data driven smart campus, public safety, crowd abnormalities, visual surveillance, urban planning, bus stations, restaurants and various other places. Nowadays, crowd analysis is the most active-oriented research and trendy topic in computer vision. As a result, it will definitely help to make emergency controls and appropriate decisions for security and safety. This system can be used for the detection and counting people, crowd level and also alarms in the presence of dense crowd.
The objectives of this project are: Develop an automated system for collecting and processing input data. Develop algorithms for observing the crowd size in various places and predicting the crowd. Raise alarms in the case of over crowdedness. Design and build database for data storage. Build an intrusive app and web user interface for visualizing the crowd distribution and crowd movement information.
Thus, our project handles the difficult issue of including the quantity of items in pictures, a universal, principal issue in computer vision. While people and computer vision calculations, are profoundly blunder inclined, our algorithms and IOT devices consolidate the best of their abilities to convey high accuracy results at moderately low expenses providing an effective solution for this imminent problem.All these are back-end working of a web interface and a app that allow authorized person to sign in and gather the details about the targeted location from anywhere.
Built With
android
css
firebase
html
java
javascript
python
regression
sdc-net
spyder3
website
xml
Try it out
he-s3.s3.amazonaws.com
github.com
drive.google.com | Data Visualization and Crowd Analysis using ML Techniques | Real time crowd analysis in crowded places by using AI in CCTV footages | ['Rithik Jain', 'Vimal Kumar', 'Godi SaiTeja', 'Vijay Krishnaa'] | [] | ['android', 'css', 'firebase', 'html', 'java', 'javascript', 'python', 'regression', 'sdc-net', 'spyder3', 'website', 'xml'] | 38 |
9,909 | https://devpost.com/software/covid19_prevention_app | GIF
Gif Demo
Landing Page
Symptom Questions
Exposure Questions
Infection Alert
Placeholder Info Box
Motivation
The idea behind this application is to prepare communities for their transition into the new normal after the peak of the COVID-19 pandemic passes. As the disease will not simply disappear, and society cannot be closed indefinitely, it will be essential to create tools which will help us adapt to living in a post coronavirus world. We intend for our application to be one of said tools.
What it does
The application has two principal aspects of its functionality.
(1) Informational - it concentrates all the relevant information in a single application to help users have all the resources necessary to take the best care of themselves possible. Similarly, it helps the administration quickly dispatch notifications and announcements.
(2) Preventative - the application collects relevant information from users with the intention of creating a network of connections between them. For example, in a college context, classes would be one of the biggest ways in which people interact and become exposed to one another. This way, if an infection is detected, the college authorities would know which individuals were at the highest risk of exposure and can take appropriate precautions.
How we built it
The front end of the application is done entirely in Flutter and the back end is handled with Firebase.
To test out the application you should clone the repository into Android Studio, install the Flutter and Dart SDK's if you don't have them already and then run the application.
Challenges we ran into
The biggest issue for our team was the fact that although we began the Hackathon with 4 people, quickly we ended up with only 2. Therefore, we had to scramble to put together the demo of the application with only 2 pairs of hands. The biggest consequence of this is that our application has a lot of front end functionality, but there is not a lot of functionality on the back end. However, that is definitely the next step in our development process after HackDSC is over.
Accomplishments that we're proud of
We were able to put together a full front-end in a single day! As for one of us, it was only our first hackathon and only the third for the other. The fact that we were able to climb ourselves out of the coronavirus slumber and put a whole project together while only talking through discord is, to us, a battle well fought.
What we learned
(1) Flutter is really nice to work with, but the code can get really gross super fast if proper attention is not paid to it. Especially the indentation...
(2) There are a lot of great libraries that help you make your application look super nice, reduce your workload and help keep your code tidy.
(3) Team work makes the dream work.
What's next for CurveStomp
As was mentioned above, with the front end mostly complete we can now focus on putting together a back end that will make the app come alive. Below are some of the ideas that were in our vision, but we unfortunately did not have enough time to put into reality.
(1) IoT approach to infections. By keeping track of which connections (classes, e.t.c) users share, our app will be aware when a particular group was exposed to an infection. It would then be able to inform the school authorities or perhaps alert the affected users that they may need to self-isolate.
(2) Bluetooth proximity tracking. Similar to what was achieved in Korea, perhaps our application could tell the user if they have recently come in contact with an infected individual.
(3) Firebase authentication.
(4) Updating stream of tips and advice related to COVID-19.
Built With
dart
firebase
flutter
Try it out
github.com | CurveStomp | CurveStomp is a Flutter application designed to help communities adapt to the new normal through faciliating the prevention and early detection of local COVID-19 spread. | ['David Nesterov-Rappoport', 'Mahmoud Alminawi'] | [] | ['dart', 'firebase', 'flutter'] | 39 |
9,909 | https://devpost.com/software/securenote | SecureNote
A BlockChain Based Textual Content Sharing Application
Abstract::
The Textual content sharing system serves as a major backbone for resolving problems and providing security. Unfortunately, there are some issues with the existing system which can be solved using blockchain technology.Nowadays this application can be used for contact tracing of a particular person infected with the virus by updating the contact detaIis of a person like his travel history. In India, most health complaints of people are not solved and even if the complaint gets registered, most of the higher officials are unaware of the complaints as most of them are being manipulated in between. This kind of problem can be solved using a decentralized platform for people to register their queries, which all the officials in that particular zone can access and take action immediately without means of altering the message.
Working Model::
When a user enters a complaint, it gets registered into one of the blocks in our blockchain system in a systematic manner.
Once all the Blocks are mined, the list of complaints is made visible to everyone over the network.
As the content provided by the user is stored in an individual block which is then attached to the blockchain networks makes it impossible for anyone to alter the content.
SOFTWARE RQUIREMENTS ::
PYTHON 3.6
Flask==1.1.1
Flask-Admin==1.4.2
Flask-Cors==3.0.3
Flask-Migrate==2.0.0
Flask-Script==2.0.5
Flask-SQLAlchemy==2.1.0
blockchain 1.4.4
Built With
css
flask
html
javascript
python
Try it out
github.com | SecureNote | A Decentrilized content sharing platform | ['chaitanya kotcherlakota'] | [] | ['css', 'flask', 'html', 'javascript', 'python'] | 40 |
9,909 | https://devpost.com/software/groceryzon-4ztdph | Home page for Groceryzon
Choose the store that you would like to go shop at.
Book your time and get your QR code via email! Grocery store retailers will scan your QR code when you arrive to verify their records.
Register as a retailer!
Login page for retailers.
Here is where retailers can register their stores with the carrying capacity per hour.
Inspiration
Social distancing is a major factor in flattening the curve and the fight against COVID-19, but grocery stores tend to have a consistent amount of customers in the facility at once, thus reducing the effectiveness of social distancing. I decided to combat this problem, and offer a solution where users can book their time to come shopping at grocery stores.
What it does
Customers can select the store that they wish to go, and book an available time for that store. Then they will get a QR code to their email, allowing them be scanned and allowed into the store. Grocery store retailers can make an account on our web app, and register their stores, along with the carrying capacity per hour for the store. When customers book a time, retailers can login to their account, and scan the customer's QR code, thus verifying the booking and allowing entry.
How I built it
I built it using HTML/CSS for the front-end, and JavaScript for the back-end to implement APIs. I used fetch from JavaScript for the email processes and image processing, and used DigitalOcean to host the webapp.
Challenges I ran into
I was stuck on a long time with image processing and trying to read the QR code to get the necessary information, as well as the challenge of being remote with each other, limiting communication.
Accomplishments that I'm proud of
I am proud that I managed to get a final working product on groceryzon.ca, and I implemented an interface for the customer, and the retailer. As well, I am proud that I managed to overcome the challenges that working remotely brought, and that I had a great time here!
What I learned
Making a multi-interface web app, creating functions (emailing, QR code processing) to work with our app, and how to have a good time despite working remotely!
What's next for Groceryzon
Expanding our network with more grocery stores, and potentially expanding to more platforms, such as iOS and Android.
Built With
css
digitalocean
fetch
html
javascript
Try it out
groceryzon.ca
github.com | Groceryzon | Schedule your next shopping trip to fight against COVID-19 | ['Karl Zhu'] | [] | ['css', 'digitalocean', 'fetch', 'html', 'javascript'] | 41 |
9,909 | https://devpost.com/software/quadcoptar | start screen
flying screen
Inspiration
With everyone stuck in their homes and me particularly being located in an area near an airport, many people in my position* may want to fly their drones but are unable to fly near their homes and are also unable to travel to more drone friendly locations. To solve this problem, I came up with the idea to create a mobile application to allow people who have never flown a drone, or are otherwise incapable of flying a drone, to fly a drone in augmented reality allowing people to fly when/where they wouldn't normally be able to.
What it does
this application allows the user to have the experience of flying a drone without the restrictions of living in an area where this is not as easy
How I built it
I built this application using Unity3D's ARFoundation, Apple's ARKit, C#, and Xcode
Challenges I ran into
For the past several weeks I have been making AR games to better understand the technology. As a result, I didn't face many challenges with the Unity or Xcode interfaces, or in the code. However, this was my first time putting a Unity project on Github which, surprisingly, caused quite a few problems. For example, I made the application before uploading and as a result, many folders were too large to upload at once.
Accomplishments that I'm proud of
Overall, I'm just glad to have been able to add to my understanding of mobile AR applications.
What I learned
I learned how to used Git and Unity together.
What's next for QuadcoptAR
I want to work on other types of RC based AR vehicles (i.e. cars, planes, boats).
Built With
arfoundation
arkit
c#
unity
xcode
Try it out
github.com | QuadcoptAR | This is my solution to flying drones near airports and in crowded spaces | ['Tremael Arrington'] | [] | ['arfoundation', 'arkit', 'c#', 'unity', 'xcode'] | 42 |
9,909 | https://devpost.com/software/friendme-rfh490 | Snapshot
Inspiration
Our inspiration was the feeling of loneliness and separation due to the Covid19 pandemic.
What it does
It's a Java Swing app made to connect people to each other in a speed dating fashion to aid them in finding new people to talk to and to connect with
How I built it
It's built using the Agora RTM SDK for linux using Java and Java Swing for the interface
Challenges I ran into
A challenge we ran into is getting the Java Swing interface to take user inputs and send them out. We ran into the problem where the messages would fail to send. Out of sheer luck we discovered that if we placed a delay for as little as 1 second, it would allow for the messages to be sent from the Java Swing interface. It was a weird anomaly to us, but we found the fix.
Accomplishments that I'm proud of
First time using Java Swing
First time using Agora SDK and it will for sure be something that I use in the future for future projects. It was super simple and easy to get setup
## What I learned
Java Swing
How to use Agora services
## What's next for FriendMe!
We would like to implement the program on a much larger scale and open it up to the mainstream with a much more modern UI.
Built With
agora
java
swing
Try it out
github.com | FriendMe! | A speed dating app except for finding friends. | ['Henry Pham', 'Wahid Bawa'] | [] | ['agora', 'java', 'swing'] | 43 |
9,909 | https://devpost.com/software/liteingredients | What it does
This lets a user insert an ingredient into the search bar and it displays their nutritional facts for that ingredient.
How I built it
Flutter and Dart
Challenges I ran into
Figuring out how to connect to the database and retrieving data
Accomplishments that I'm proud of
Being able to bring out an idea
What I learned
We learned how to use flutter/dart. This was our first time building an app with flutter, so we weren't able to build exactly that we wanted, but we think what we did is pretty cool.
What's next for LiteIngredients
Retrieve their substitutes in and display them with images
Built With
dart
flutter
Try it out
github.com | LiteIngredients | Use this suggester for a more LITE ingredient | ['thprather Prather', 'Johnny Luo', 'Herman Wu', 'Alice Liang'] | [] | ['dart', 'flutter'] | 44 |
9,909 | https://devpost.com/software/omnilearning | Bridging the digital education gap between students, educators, and parents.
A glimpse of Firestore data structure
Initial Wireframe, Color, and Logo Sketch
Inspiration
There are thousands of online educational platforms. However, there isn't an easy way for parents, educators, and students to stay organized and engaged across the many different platforms. During no-school days such as the COVID19 lockdown, summers, or weekends, many students feel highly unmotivated without a rigid, organized schedule and a mentor to support them. OmniLearning, an iOS app, was inspired by these real-life issues.
What it does
OmniLearning matches students with mentors and provides unique features for each respective user:
1)
Students
: receives updated personalized schedule curated by their mentors, stay organized with a schedule, increase productivity and motivation with a displayed reward, ask questions, update mentor with progress
2)
Mentors
(e.g. teachers, tutors, parents, older siblings): create and assign a personalized learning schedule across different platforms, send incentives and rewards as motivation, help students, receive real-time updates on students' progress
How I built it
I digitally drew all logos, wireframes, and backgrounds with Procreate.
I coded the app with Swift on Xcode.
I utilized Google firebase as the database for CRUD.
Challenges I ran into
This is my first time creating an app for multiple users. Thus, it was quite difficult in the beginning to create a clean structure to direct users to their respective pages. In addition, there is a lot of data to pass between students and mentors so the database structure is more complex.
Accomplishments that I'm proud of
I'm proud of creating OmniLearning on a solo team!
What I learned
Complex data structures, CRUD, cocoapods, Firestore, app with multiple types of users
What's next for OmniLearning
I hope to improve the messaging user interface and publish to the app store ASAP for students and mentors to use!
Built With
cocoapods
firebase
procreate
swift
xcode
Try it out
github.com | OmniLearning | Bridging the digital education gap. | ['Tran Le'] | ['Honorable Mention', 'Top 10'] | ['cocoapods', 'firebase', 'procreate', 'swift', 'xcode'] | 45 |
9,909 | https://devpost.com/software/data-structure-generator | This is the view of the generator after running the jar file.
After all parameters have been selected or input, the generator outputs the code.
If the code is too long for the output box, click the "Expand" button for a full view.
Clicking the "Export as .txt file" button will write a file with the generated code.
The output box notifies you when the file is written, and where it can be found on your computer.
You can create a lab for students to become more familiar with the selected data structure by clicking the "Generate Custom Lab" button.
The output box notifies you when the file is written, and where it can be found on your computer.
Inspiration
While learning about array lists last year the first step in a lab we were given was to create an ArrayList with some given data and it was a pain typing everything out with the right formatting. This tool is a result of that twinge of annoyance. When I got to thinking about what else could be done with custom data I realized our application could be used in an educational context to to create custom labs.
What it does
This tool can be used to convert data into data structures for easy copy and paste to avoid the hassle of typing. Simply input text, select parameters, and press the "Generate" button. It can also be used to create custom Java labs based on the input data and parameters. Computer Science teachers can easily create multiple forms of randomized Java labs to prevent cheating and file sharing among students by pressing the "Generate Custom Lab" button. We also coded sample answers to labs for each data structure available in the "Sample Answers" folder in the GitHub repo.
How we built it
We made a Java Swing GUI that references two classes we created. One class converts the input text and parameters into a data structure and the other uses those same inputs to create custom randomized Java labs.
Challenges we ran into
While creating the custom labs we had to make sure the names of the files weren't the same as previously generated versions. Additionally, completing the GUI was challenging because we were unfamiliar with how to do so.
Accomplishments that we are proud of
A completed GUI with functional buttons, drop-down menus, and input fields
What We learned
Java GUI and file creation/manipulation
What's next for Data Structure Generator
We would like to expand the types of Java Data Structures that our program can handle and add compatibility for Data Structures in other programming languages such as Python.
Built With
java
swing
Try it out
github.com | Data Structure Generator | Convert data into data structures to save the hassle of typing and formatting | Educational tool for teachers that easily generates custom Java Labs based on custom inputs to prevent cheating | ['Dhruv Batra', 'Nathan Goldberg'] | [] | ['java', 'swing'] | 46 |
9,909 | https://devpost.com/software/autonomous-drone-delivery-system-wdfvy0 | Drone's POV with the model
Check graph title(shows accuracy of our model)
Math formulas we created to implement the probability model
An example of the object detection model MobileNet
Example of our data preprocessing
The architecture for our steering deep learning CNN model
The progression of our MSE over 25 epochs of training
See caption
Inspiration
The COVID 19 pandemic has affected all of us. Living in one of the epicenters of the outbreak in the US has been eye-opening. When we take a walk outside, no one out on the streets, playing in parks, or living their lives. Life at home has been even harder: buying groceries is frightening, purchasing necessities from online sites takes ages, and the entire online delivery system is strained and on the verge of collapse. People who are sick and in self-quarantine can not even exit their house due to the highly contagious nature of COVID-19. Likewise, the healthy and elderly are too scared to exit and buy essentials, such as food, due to fears of getting sick. Our project’s goal is to incentive everyone to stay home by making life a little easier and convenient. We want to return to normalcy as quickly as possible, and our method to aid social distancing, we thought, was the best way to accomplish this. Current autonomous drone navigation systems are neither robust or adaptable due to their heavy dependence on external sensors, such as depth or infrared, and we decided to take a deep learning approach and tackle both this and the COVID-19 problem together.
What it does
Using deep learning and computer vision, we were able to train a drone to navigate by itself in crowded city streets. Our model has extremely high accuracy and can safely detect and allow the drone to navigate around any obstacles in the drone’s surroundings. We also developed an app that allows users to communicate with the drone and send his/her coordinates to a real-time database.
How I built it
To implement autonomous flight and allow drones to deliver packages to people swiftly, we took a machine learning approach and created a set of novel math formulas and deep learning models that focused on imitating two key aspects of driving: speed and steering. For our steering model, we first used gaussian blurring, filtering, and kernel-based edge detection techniques to preprocess the images we obtain from the drone's built-in camera. We then coded a CNN-LSTM model to predict both the steering angle of the drone. The model uses a convolutional neural network as a dimensionality reduction algorithm to output a feature vector representative of the camera image, which is then fed into a long short-term memory model. The LSTM model learns time-sensitive data (i.e. video feed) to account for spatial and temporal changes, such as that of cars and walking pedestrians. Due to the nature of predicted angles (i.e. wraparound), our LSTM outputs sine and cosine values, which we use to derive our angle to steer. As for the speed model, since we cannot perform depth perception to find the exact distances obstacles are from our drone with only one camera, we used an object detection algorithm to draw bounding boxes around all possible obstacles in an image. Then, using our novel math formulas, we define a two-dimensional probability map to map each pixel from a bounding box to a probability of collision and use Fubini's theorem to integrate and sum over the boxes. The final output is the probability of collision, which we can robustly predict in a completely unsupervised fashion.
Challenges I ran into
We faced many challenges while creating our project, and two of the main problems were controlling our drone with a computer and optimizing runtime of our models. As for interfacing, the Parrot Bebop 2 drone is meant to be controlled with a mobile app that the Parrot company officially designed. However, there was no clear-cut way to control a drone with our computer, and finding a way to perform this took a lot much more effort and time than we had ever anticipated. We attempted using many libraries and APIs, the main ones include Bebop Autonomy, Olympe, and PyParrot. We first tried using Bebop Autonomy, a ROS driver specifically for Parrot drones and found that it wasn’t compatible with either of our computers. Then we discovered Olympe, which was a Python controller programming interface for Parrot drones and computers. We were able to get this working, but we found that the runtime of its scripts took too long and the level of complexity of its scripts was a little too much for us to handle. Finally, we found PyParrot and compared to Olympe the scripts were much easier to write and the API was overall a lot more user-friendly with a wide range of examples. Not only that, but it was open source meaning we could directly edit built-in functions, which was extremely convenient.
Another major challenge we face is runtime. After compiling and running all our models and scripts, we had a runtime of roughly 120 seconds. Obviously, a runtime this long would not allow our program to be applicable in real life. Before we used the MobileNet CNN in our speed model, we started off with another object detection CNN called YOLOv3. We sourced most of the runtime to YOLOv3’s image labeling method, which sacrificed runtime in order to increase the accuracy of predicting and labeling exactly what an object was. However, this level of accuracy was not needed for our project, for example crashing into a tree or a car results in the same thing: failure. YOLOv3 also required a non-maximal suppression algorithm which ran in O(n3). After switching to MobileNet and performing many math optimizations in our speed and steering models, we were able to get the runtime down to 0.29 seconds as a lower bound and 1.03 as an upper bound. The average runtime was 0.66 seconds and the standard deviation was 0.18 based on 150 trials. This meant that we increased our efficiency by more than 160 times.
Accomplishments that I'm proud of
We are proud of creating a working, intelligent system to solve a huge problem the world is facing. Although the system definitely has its limitations, it has proven to be adaptable and relatively robust, which is a huge accomplishment given the limitations of our dataset and computational capabilities. We are also proud of our probability of collision model because we were able to create a relatively robust, adaptable model with no training data.
What I learned
Doing this project was one of the most fun and knowledgeable experiences that we have ever done. Before starting, we did not have much experience with connecting hardware to software. We never imagined it to be that hard just to upload our program onto a drone, but despite all the failed attempts and challenges we faced, we were able to successfully do it. We learned and grasped the basics of integrating software with hardware, and also the difficulty behind it. In addition, through this project, we also gained a lot more experience working with CNN’s. We learnt how different preprocessing, normalization, and post processing methods affect the robustness and complexity of our model. We also learnt to care about time complexity, as it made a huge difference in our project. Finally, we learned to persevere through the challenges we faced.
What's next for Autonomous Drone Delivery System
Despite the many challenges we faced, we were able to create a finished working product. However, we believe that there are still a few things that we can do to further improve upon. To further decrease runtime, we believe using GPU acceleration or a better computer will allow the program to run even faster. This then would allow the drone to fly faster, increasing its usefulness. In addition, training the model on a larger and more varied dataset would improve the drone’s flying and adaptability, making it applicable in more situations. With our current program, if you want the drone to work in another environment all you need to do is just find a dataset for that environment. Currently, the drone uses its own wifi signal to communicate with the computer. This means that the drone could only fly as far as its wifi range allows it to. If we could move all the processing from our computer onto the drone however, it would give the drone an unlimited range to fly in making it even more adaptable in situations. Our GUI for our mobile app is pretty plain, and we hope to later implement and create a better app with a better and easier to use design. Lastly, integration with a GPS would allow long-distance flights as well as urban city traveling.
A self-flying drone is applicable in nearly an unlimited amount of applications. We propose to use our drones, in addition to autonomous delivery systems, for conservation, data gathering, natural disaster relief, and emergency medical assistance. For conservation, our drone could be implemented to gather data on animals by tracking them in their habitat without human interference. As for natural disaster relief, drones could scout and take risks that volunteers are unable to, due to debris and unstable infrastructure. We hope that our drone navigation program will be useful for many future applications.
Built With
keras
numpy
pandas
parrotdrone
pyparrot
python
tensorflow
Try it out
github.com | Using Autonomous Drones to Deliver Supplies During COVID-19 | A novel deep learning and computer created based drone navigation system by Allen Ye and Anant Bhatia to aid in autonomous delivery during the COVID-19 outbreak. | ['Allen Ye'] | ['1st Place', 'Best Drone Hack', 'Featured on Website'] | ['keras', 'numpy', 'pandas', 'parrotdrone', 'pyparrot', 'python', 'tensorflow'] | 47 |
9,909 | https://devpost.com/software/research-platform-782lmi | Covid
Description
This project is a new type of research and an unprecedented global project that connects scientists, researchers and inventors in a way that has never existed before.
The data, which is crucial for research, is compiled internationally and is available to all researchers, scientists and inventors of this platform.
However, this is not just an international scientific project, it also includes a sociological project. It is a triple scientific project that has a great future. Ask yourself the question of what progress we can make in all areas of research if, instead of 200 scientists, 50,000 scientists, researchers and inventors research the projects together. With an incredible range of knowledge and ideas Thum bundled on a platform for the benefit of all people. The planning and organizational measures result from the association of international scientists, researchers and inventors. With the help of this platform, they organize virtual meetings to conduct research. Data is analyzed by a team of experts and integrated into the platform, so that everyone on this platform is always up to date with the latest research. Users of this platform also have the opportunity To propose a certain page, for example a research institute, to our team and after an examination by a team and consultation with the operator of the page, this is intrigued, and research institutions can have your page integrated so that all users on the platform see the information on the page The good thing about this platform is that users can organize themselves, plan meetings and exchange information at any time. At the same time, users have the opportunity to publish their discoveries internationally with all users of the platform.
Who is actually behind this whole campaign?
My name is Michael Rhein, I managed the patent exploitation TIZ-NORD Wilhelmshaven Technical Innovation Center for Research and Patent Exploitation. When the pandemic started, I thought about the options for dealing with this crisis as quickly as possible. So in the beginning I looked for solutions on my own until I noticed that the solution can be found right here. Because of this, I thought about how I could bring as many people as possible together to find a solution together. However, it was clear to me from the beginning that this would only be possible with experts in the fields of science, research and the inventions or medical means of the inventors resulting therefrom and so I developed the project of the research platform. I was aware that this would and will present me with enormous challenges, but I will be able to master these together with everyone.
What about the rights?
I have long considered how to organize the legal part of this platform. Now I have found a solution for this too. All those who register on this platform simply agree that the rights to the research results made on the research platform, inventions for the benefit of mankind, to all users registered on the platform who are involved in the creation of this invention, solution or the research results are evenly distributed . This is an optimal solution for doing research together. To implement this regulation, users accept the general terms and conditions of the platform, in which all legal points are defined.
What does it look like financially? Who finances the whole thing?
This platform is not about making the greatest possible profit, rather it is about developing things together that can avoid such a situation as Coovid-19 or at least bring about a quick solution. I try to get political funding from the governments from which the scientists, inventors and researchers come, which are then distributed to the respective research institutes, scientists, researchers and inventors, for this I will put together a finance team. We are all human beings, we all live on this planet, let's develop technologies and opportunities together that we may not even be able to imagine today. This platform, like all of us, lives from constant change and adaptation. Together we all develop this platform, so we become part of it.
Built With
ai
audio
css3
google-analytics
google-translate
html5
java
javascript
ki
php
video
Try it out
forschungsplattform.com
forschungsplattform.com | Research platform | This project is a new type of research and an unprecedented global project that connects scientists, researchers and inventors in a way that has never existed before. | ['Michael Rhein'] | [] | ['ai', 'audio', 'css3', 'google-analytics', 'google-translate', 'html5', 'java', 'javascript', 'ki', 'php', 'video'] | 48 |
9,909 | https://devpost.com/software/generating-electricity-by-walking-s0v6m5 | The primary hardware components used.
A bunch of piezoelectric sensors!
An inside view of the shoe. 17 piezoelectric sensors can be seen in this side. There is an additional 16 sensors on the other side.
The top down view of the shoe (without the styrofoam)
Summary
The average American walks approximately 3,500 steps per day; each step creates mechanical energy, energy which ends up being wasted and dispersed into the environment. Tapping into this wasted energy opens a door for opportunities to supplement the user’s actions. Varying amounts of piezoelectric sensors were used to generate this energy which gets stored in a LiPo battery through the aid of the BQ25570 chip. My design used 33 piezoelectric sensors, which generated, approximately 0.27 volts or 23.625 mAh just after 60 steps. If a user wore this shoe and walked the average amount of steps per day, they would generate 1,378.125 mAh! In addition, I developed an add-on to this project that adds an Arduino Nano with an Accelerometer and Gyroscope sensor. The data from these sensors are run through a neural network that predicts the behavior the user is doing. For example, if the user is jumping it will predict they are jumping.
How I built it
The hardware component of this project has one layer of styrofoam on the top and bottom. This protects the piezoelectric sensors and increases comfort for the user. Then there are two layers of cardboard, each side of the cardboard has 8-9 piezoelectric sensors, connected in series. The two cardboard pieces are connected in parallel. There is then a thin piece of paper between the two cardboard pieces, to make sure no wires short out when they touch each other.
The software uses Keras with TensorFlow. I created a Google Cloud Virtual Machine Instance, which runs a python script that reads in data regarding user's motion and then with Keras and TensorFlow creates a model of the data that can be used for prediction.
Challenges I ran into
Developing the hardware of the shoes took the bulk of my time. I have never used Piezoelectric sensors before, so I had to learn how to use them. In addition, it took me a while to optimize the energy outputted from the shoe. The green BQ25570 chip helped me do that though.
Accomplishments that I'm proud of
This is the world's most efficient shoe that generates electricity! Other solutions mostly use different means to generate electricity. My solution used Piezoelectric sensors, and then the BQ25570 chip to control the flow of electricity from the two capacitors on the chip to the battery. This minimizes the electricity wasted.
What I learned
I learned a lot! In general, I am better at software related projects, this project, being a hardware-first project, increased my skills in dealing with hardware. I got better at soldering, understanding the mathematical calculations of voltage and current, Piezoelectric sensors, Arduinos and various hardware compounds. On the software side, this was my first time using Google Cloud. I am now comfortable in creating complex Virtual Machines in the cloud that can run various advanced scripts.
What's next for Generating Electricity By Walking
I want to add a wifi/Bluetooth chip into the Arduino Nano, this will enable the data from the accelerometer and gyroscope to transfer to a web server in the cloud without the need of a wire. With this advancement, I could develop a mobile/web app that tracks various foot-related fitness activities, including jumping, running and walking.
Built With
google-cloud
keras
piezoelectric
tensor-flow
Try it out
github.com | Generating Electricity By Walking | Generate a lot of electricity just by walking! | ['Tarun Ravi'] | [] | ['google-cloud', 'keras', 'piezoelectric', 'tensor-flow'] | 49 |
9,912 | https://devpost.com/software/abastecer-bolivia | Abastecer Bolivia
Nombre del equipo
Abastecer Bolivia (# 4_2_2_1_proyecto4221)
Integrantes
Valería Mendez
Diego Quisbert
Felix Veizaga
Problema
● Permitir a pymes y emprendedores intercambiar formas de lidiar con el impacto del Covid-19 y de coordinar ayuda mutua cuando sea posible.
● Economía y negocios
● Mypes, Pymes, emprendedores, negocios informales.
Comunidades urbanas y zonas estratificadas
Solución
Objetivo de la solución
Generar canales de venta y contacto entre empresas.
Ofrecer modelos de venta de productos al por mayor convenientes para pymes y emprendedores como ventas compartidas.
Generar redes de apoyo entre empresas.
Definir las necesidades del mercado para orientar a empresas emergentes o productores establecidos.
● Alcance del proyecto
Página web, debe ser responsive y cumplir con criterios SEO.
Debe contener las siguientes funcionalidades
Registro de empresas.
Registro de productos.
Gestión de compras (compras compartidas e individuales).
● En qué otras áreas no tecnológicas necesitamos apoyo/conocimientos
Marketing
Gestión y análisis de riesgos
● A quiénes beneficia nuestra solución: usuario final
Mypes, Pymes, emprendedores, negocios informales.
Comunidades urbanas y zonas estratificadas
Avance durante la hackathon
● Cómo lo construimos
○ Desarrollo del sitio web mediante Wordpress
● Problemas que encontramos
○ Desarrollo del sitio web mediante Wordpress
● Logros: qué aprendimos
○ Creación del sitio web, donde se podremos cumplir con las necesidades del problema
Plan de acción
● Innovación: Sitio web Business to Business
● Impacto: Define las métricas del proyecto.
○ Qué Impacto va a generar mi solución: Es una sitio web donde se facilitará el contacto con Grandes empresas y pequeñas empresas
○ ¿Es factible? Si. Porque cumple un criterio Smart: Es un tema en específico la comunicación de empresas por medio del sitio web, es medible porque al ser un sitio web podrá contar con estadísticas, es alcanzable por que requiere instrumentos digitales económicos, es realizable porque su uso tecnológico está a disposición y es temporal su ejecución entre 3 a 6 meses
○ Por qué deberían escoger mi idea: Por utilizar la innovación web y la comunicación entre empresas que ayudará a la economía desde el punto de vista de crecer como PYME.
● Plan: ¿Qué materiales/información necesitamos? que tenemos disponible antes de empezar el evento?(Prototipo Sitio Web) Que logramos durante el evento? Concretar ideas, tener un objetivo en común, Tiempo y dinero (de 3 a 6 meses, dinero 1000$ como mínimo)
Links
●
https://youtu.be/RfS4HTN4zGw
Built With
ecomerce
marketplace
shop
store
web | Abastecer Bolivia | Plataforma web que permite a pymes y emprendedores intercambiar productos de abastecimiento a bajos precios. | ['Felix Veizaga Bolivia', 'Valeria Mendez', 'Diego Quisbert'] | ['Infraestructura tecnológica y acceso a plataformas (ej: código o créditos para la nube, marketing, plataformas de datos)', 'Feature en la Pagina Web'] | ['ecomerce', 'marketplace', 'shop', 'store', 'web'] | 0 |
9,912 | https://devpost.com/software/equipo1_1_6_1_respirador | participantes
Camara de Aislamiento Diseño
Respirador Artificial de Emergencia Diseño
Respirador Artificial de Emergencia terminado (Faltan pruebas y testeo)
Laringoscopio Diseño
Laringoscopio modelo terminado
Campana de bioseguridad de intubado diseño
Desarrollo de un Kit Médico Portátil de respiración y bioaislamiento
consiste:
Desarrollar cápsula de bioaislamiento (brindar la seguridad a los médicos que atienden al paciente en un traslado del mismo)
Desarrollar Respirador Artificial de emergencia (que pueda medirse pulso temperatura y controlar la respiración asistida de la persona)
Desarrollar campana de bioseguridad médica para entubado de pacientes
Desarrollar Laringoscopio usando el celular y cámaras de endoscopia con conexión USB (evitar que el médico se exponga a salpicaduras de saliva así este no se contagia)
todos los desarrollos deben ser económicos, fáciles de fabricar y portátiles
KIT MÉDICO PORTÁTIL DE RESPIRACIÓN Y BIOAISLAMIENTO
Nombre del equipo
Kit Médico Portátil de Respiración y Bioaislamiento
Integrantes
Mauricio Alfaro Arnez
Jorge Enrique Rodríguez Dávila
Maiber Aguilera Callejas
Problema
¿Cuál es el problema a resolver?
Necesidad de herramientas de revisión y consultas médicas de emergencia brindando, la bioseguridad correspondiente para atención de pacientes sospechosos y confirmados con COVID-19.
En qué categoría se encuentra nuestro problema
Salud.
¿Quién está afectado por este problema?
Personal de salud, técnicos y logística, (Médicos, Enfermeras, Asistentes, Biomédicos, Personal de Mantenimiento, Limpieza, Paramédicos, personal de rescate y transporte) que tengan contacto directo con personas infectadas por el virus.
Solución
Objetivo de la solución
Desarrollo de un Kit Médico Portátil de respiración y bioaislamiento.
Alcance del Proyecto
El proyecto tiene como alcance el aporte de equipos y materiales médicos al sistema sanitario.
En qué otras áreas no tecnológicas necesitamos apoyo/conocimientos.
Se requiere reforzar los conocimientos en áreas biomédicas y salud para mejorar el conocimiento correspondiente en el desarrollo de este kit médico y someterlos a pruebas reales bajo el cuidado que corresponda.
A quiénes beneficia nuestra solución:
Beneficiando al personal de salud, técnicos y logística, (Médicos, Enfermeras, Asistentes, Biomédicos, Personal de Mantenimiento, Limpieza, Paramédicos, personal de rescate y transporte) que tengan contacto directo con personas infectadas por el virus y así minimizar la probabilidad de contagio, reduciendo la propagación de la enfermedad.
Avance durante la hackathon
Como lo construimos
Los diseños fueron realizados mediante el software CAD SolidWorks.
Mediante este software se logró realizar un modelo de cada equipo y a la vez se realizó una simulación lo cual garantiza su correcto funcionamiento.
Por la actual coyuntura en que nos encontramos hay dificultad en conseguir materiales para la fabricación de las propuestas
Logros: Durante esta jornada se aprendió a trabajar desde casa, usando herramientas como Google Drive, llamadas grupales en WhatsApp donde se realizaron lluvias de ideas y se coordinó los avances
Plan de acción
Desarrollo de Tecnologías, Ingeniería y Diseño de un Modelo.
Desarrollar una cápsula de bioaislamiento (brindar la seguridad a los médicos que atienden al paciente en un traslado del mismo)
Desarrollar Respirador Artificial de emergencia (que pueda medirse pulso, temperatura y controlar la respiración asistida de la persona)
Desarrollar campana de bioseguridad médica para intubado de pacientes
Desarrollar Laringoscopio usando el celular y cámaras de endoscopia con conexión USB (evitar que el médico se exponga a salpicaduras de saliva así este no se contagia)
todos los desarrollos deben ser económicos, fáciles de fabricar y portátiles
Impacto: Define las métricas del proyecto.
Incrementar equipos y materiales médicos al Sistema sanitario.
Brindar mayor bioseguridad en lugares que carezcan de material y equipos médicos.
Incrementar la seguridad y optimismo en el personal médico que tratan a las personas que estén infectadas con el virus minimizando los riesgos de contagio con estos equipos.
Qué Impacto va a generar mi solución: reducción/incremento de métricas, tecnología, sociedad, psicología, abogacía
Es factible este proyecto por los motivos de ser económico, sencillo, fácilmente replicable y las herramientas de fabricación de los distintos productos son fáciles de encontrar en nuestro medio así como los materiales necesarios, por este motivo ha sido rápido obtener los recursos necesarios para llevar a cabo nuestros desarrollos se encuentra en un 70% de avance del total del proyecto y por equipos se encuentran en el siguiente detalle :
respirador artificial 100%,
cápsula de bioaislamiento 50%,
campana de bioseguridad médica para intubado de pacientes 70%,
laringoscopio 100%
Por qué deberían escoger mi idea
por que mediante el uso de un KIT MÉDICO PORTÁTIL DE RESPIRACIÓN Y BIOAISLAMIENTO donde forma parte una Cápsula de Aislamiento, un respirador artificial y una campana de bioseguridad para intubación y Laringoscopio para evitar el contacto directo en la revisión médica en clínica o sitio, con el cual se puede realizar el aislamiento minimizando la probabilidad contagio del personal que atienda y/o traslade a personas infectadas por el coronavirus padeciendo de COVID-19, también en el caso donde exista carencia de equipamiento en alguna ciudad o pueblo y se haga la evacuación a otra ciudad próxima con equipamiento, con este kit se pretende minimizar el riesgo de contagio de nuestros médicos enfermeras bomberos, para-médicos, policías, militares y otros que tengan que trabajar en cercanía de personas con COVID-19. una solución económica, viable y de fácil fabricación.
Plan:
Para realizar el proyecto contamos con un Software CAD, Impresora 3D, Cortadora láser, filamento para impresión en 3D y láminas de acrílico. En cuanto a los equipos se tiene desarrollado y fabricado el respirador artificial, la campana de bioseguridad se encuentra en proceso de desarrollo y se tiene un avance del 20 % en el diseño de la cápsula de bioaislamiento.
Durante el evento se terminó el desarrollo de la campana de bioseguridad completando el diseño al 100 % y avanzando al 50 % la fabricación; en cuanto a la cápsula de bioaislamiento se completó el diseño al 100 % y se avanzó a un 70 % la fabricación; por otro lado se logró desarrollar al 100 % el laringoscopio, teniendo el diseño y la fabricación al 100 %.
el proyecto requiere una inversión de 2 Mil Dolares Americanos y 1 mes para su implementación, el respirador requiere 3 meses
Links
Video - pitch
https://youtu.be/tmnmuBYULbo
Anexo 1: Capsula de bioaislamiento
Anexo 2: Respirador artificial de Emergencia
Anexo 3: Laringoscopio
Anexo 4: Campana de bioseguridad para intubado | equipo1_1_6_1_Respirador | https://www.youtube.com/watch?v=tmnmuBYULbo | ['Maurice Alfaro Arnez'] | ['Programa de incubación para la implementacion de proyectos', 'Feature en la Pagina Web'] | [] | 1 |
9,912 | https://devpost.com/software/detenlos-0hug9v | Detenlos surgio como solucion de ayuda imediata a jones que sufren ciberacoso y violencia virtual, ya que investigando nos encontramos con que no existe una manera rapida de apoyo ayuda y solucion a este problema y las victimas no saben que hacer.
a demas una de las participantes de proyecto sufrio este problema lo que nos dio una vista mas cercana del problema.
Built With
android | Detenlos | Detenlos es una plataforma que permite denunciar a ciberacosadores a demás de brindar ayuda inmediata a las victimas | ['Marco Andre Beltran Cruz'] | ['Feature en la Pagina Web'] | ['android'] | 2 |
9,912 | https://devpost.com/software/1_1_9_1-casco-integral-de-proteccion-contra-el-covid19 | problema
Proteger a la población de la alta tasa de contagios a travez de un micro aislado, con el uso del casco.
Solución
La población en general es el beneficiario al que se pretende llegar, micro asilarla con un casco de proteccion integral para que el virus no entre a su organismo, Liberando el concepto y diseño para que sean las mentes humanas las que la mejoren las prueben y la produzcan.
Problema
Como enfrentamos la pandemia mundial, entramos en sendas cuarentenas (que en algún momento van a acabar), o rompemos la cuarentena tratando de salvar la economía de un país y entramos a etapas de contagio general saturando centros de salud y con el precio de perder personas en el camino.
Solución
Evitar el contagio comunitario con el uso de casco que proteja y micro aísle, a la población mundial añadidos protocolos de uso en trabajos, espacios públicos y casa.
Se sabe que el contagio es porque las personas infectadas esparcen este virus (Covid19) al medio ambiente y este ingresa al organismo por la boca, la nariz o los ojos, entonces creando este equipo de protección específica encapsula a este virus dentro de este micro ambiente (casco), asi los infectados contien el virus evitando que este salga al medio ambiente y los que no tiene dicho virus se protegen al no dejar entrar al virus a su organismo.
Con esta solución se puede dejar las cuarentenas, volver a los trabajos, estudios, a una vida relativamente normal siendo que cada persona estaría micro asilada.
Avance durante la hackathon
En realidad, es presentar los diseños básicos el concepto para crear interés en la sociedad para que este tipo de soluciones sea el inicio para mejorar este producto con toda seguridad pues el creador de la idea lo registro justamente para liberar la idea y esta sea mejorada, perfeccionada y esta sea implementada a nivel mundial mientras se encuentre una vacuna o este virus desaparezca pasivamente por este esfuerzo colectivo.
Los diseños y el concepto esta en autocad y registrado, justamente para que comunidades de desarrolladores se apropien del concepto la mejoren y la apliquen.
Plan de acción
Es un modelo diseño especial que busca que equipos de diseñadores a nivel mundial, se apropien del concepto y mediante equipos de investigación mejoren y comiencen a producir en masa, para poder dotar a la población mundial de este futuro equipo y protegerlo, yo registre el concepto y prototipo con el único fin de liberarlo de manera segura para que el prototipo sea mejorado.
Los beneficiarios
Este producto tendría que llegar al grueso de la población mundial, comprar los que pueden y dotar mediante una fundación a las personas de escazos recursos, ya que el esfuerzo tiene que ser mundial y en conjunto.
Costo
Aproximadamente el precio rondaría los 100 bs.
Bateria 2600 mlh 55 bs 9 horas de funcionamiento.
Dinamo pequeño 3 bs
Filtro 1.5 bs cada uno, 8 piezas más su recambio 12 bs
Plastico inyectado 15 bs
Policarbonato termoformado 10bs
Circuiteria y acolchadores de silicona 5bs.
Avance durante la hakathon
Se tiene un diseño y el concepto, el costo de producirlo rondaria los 100 bs por unidad.
Problemas que encontramos
Se tiene que conformar un equipo multidiciplinario.
Accomplishments that I'm proud of
Logre diseñar este concepto, nuevo a lo que puedo ver.
What I learned
Tengo que aprender mas
What's next for 1_1_9_1 casco integral de protección contra el covid19 | 1_1_9_1 casco integral de protección contra el covid19 | casco integral de protección contra el covid19 | [] | ['Feature en la Pagina Web'] | [] | 3 |
9,912 | https://devpost.com/software/1_1_2_1-vitalcen | Prototipo inicial
Esquema general de funcionamiento
Sistema de Hardware
Interfaz de la Aplicación Celular
Brazalete prototipo
Prototipo del dedal
Problema
¿Cual es el problema a resolver?
Proteger individuos con condiciones pre-existentes que hacen un desarrollo de Covid-19 mas grave mas probable.
En la categoría que se encuentra nuestro problema
Salud Publica
¿Quien esta afectado por este problema?
Poblacion en general
Solucion
Objetivo de la solución
Desarrollar un sistema de bajo costo capaz de monitorear los signos vitales más importantes (Frecuencia cardiaca, Temperatura corporal y Saturación de oxigeno) de manera autónoma, continua, rápida, confiable y fácil de usar que permita hacer el seguimiento evolutivo y la gestión de datos del paciente infectado por COVID en tiempo real, ya sea en su uso hospitalario o doméstico.
Alcance del proyecto
○ El presente sistema pretende llegar a los sectores más vulnerables de la población, hospitales, clínicas y público en general.
○ Los alcances del sistema VITALCEN no se limitan a solo pacientes que padecen COVID 19, sino también a pacientes que requieran monitoreo de sus signos vitales, ya sea en su uso doméstico u hospitalario.
○ En cuanto a las limitaciones, tenemos en cuenta que el acceso a internet es de vital importancia para el uso del sistema. Por otro lado, la brecha del uso tecnológico en nuestra región podría ser una limitante del sistema VITALCEN.
En que otras áreas no tecnológicas necesitamos apoyo o conocimiento
Medicina general
Avance durante la hackathon
Como lo construimos
Funcionamiento general
El sistema electrónico inalámbrico (brazalete-dedal) toma los signos vitales a través de sensores instalados en el dedal, estos datos son enviados mediante WIFI a un servidor remoto. El servidor remoto, almacena los datos para gestionar y acceder a los mismos. Por otro lado, gracias a una APP el usuario podrá visualizar signos vitales en tiempo real, datos obtenido del servidor, y acceder a su historial de las últimas 24 horas para su evaluación general. Finamente, el sistema cuenta con una alarma sonora en caso de que el sistema electrónico detecte una anormalidad en los signos del paciente
Durante la Hackaton recibimos muchos feedback y puntos de vista interesantes de los diferentes mentores, lo que nos permitió hacer mejoras en el diseño que teníamos inicialmente. Por otro lado pudimos lograr el diseño final del dedal que fue impreso por mentor Cristian, el cual se ve en las figuras siguientes.
Problemas que encontramos
Falta de materiales debido a la cuarentena. Principalmente nos enfocamos en trabajar en algoritmos que nos permitan mejorar la calidad de la señal de los sensores para tener certeza de la precisión de los datos.
Logros: qué aprendimos
Trabajo en equipo, principamente enfocado en la distribución de tareas
Coordinacion de trabajo a distancia
Built With
android-studio
java
javascript
linux
mysql
python
tcp | 1_1_2_1-VITALCEN | VITALCEN es un sistema de monitoreo de signos vitales con capacidad de gestión de datos, su uso puede ser doméstico u hospitalario. | ['Marco Antonio Garay Gavincha', 'Franz', 'Leydi Cruz'] | ['Infraestructura tecnológica y acceso a plataformas (ej: código o créditos para la nube, marketing, plataformas de datos)', 'Programa de incubación para la implementacion de proyectos', 'Premio no-financiero para equipos ganadores', 'Feature en la Pagina Web', 'Reconocimiento y Visibilidad'] | ['android-studio', 'java', 'javascript', 'linux', 'mysql', 'python', 'tcp'] | 4 |
9,912 | https://devpost.com/software/1_1__2_1-team_voluntariado | Team_voluntarios_Lideres que forman otros lideres
Team_voluntarios, personas con disposición, responsabilidad y servicio
Grupo Vulnerable, uno de nuestros objetivos a ayudar
Esxite la Discrimicación en Bolivia?
Lideres transmisores de conocimientos y buenos hábitos para detener la transmisión del coronavirus
Inspiration La creciente discriminación hacia los pacientes COVID19 positivo, causada por el miedo a la transmisión de la enfermedad, a raíz de la falta de conocimiento de esta nueva pandemia mundial.
La falta de empatía asociado a la ignorancia del SARS COV-2 ha generado pánico, causando el desabastecimiento en artículos de primera necesidad, distanciamiento social, depresión entre otros.
Problema
¿Cuál es el problema a resolver?
Falta de conocimiento acerca de la nueva pandemia causada por el SAR-COV2 “coronavirus”, a causado pánico en nuestra comunidad, generando la discriminación de pacientes y familiares con COVID-19. Así mismo, entre las consecuencias de la cuarentena y enfermedad no sólo nos ha distanciado físicamente sino también Distanciamiento social aumentando las necesidades no cubiertas y poco expresadas por nuestros adultos mayores, familias vulnerables y pacientes COVID-19 positivo.
En qué categoría se encuentra nuestro problema
Salud pública, organización sin fines de lucro y apoyo social-comunitario
¿Quién está afectado por este problema?
La comunidad en su conjunto y grupos vulnerables que incluyen a los adultos mayores, familias vulnerables y pacientes COVID-19 positivo.
Solución
Formar una red de voluntarios, entregándoles conocimientos sobre la temática del coronavirus, adiestrandolos para que practiquen y fomenten los hábitos de bioseguridad necesarios para prevenir la transmisión del virus, además de la transmisión de saberes y haceres con empatía y buen trato hacia su comunidad más próxima incluyendo, familia, vecinos, adultos mayores, familias vulnerables o pacientes COVID-19 recuperados.
Objetivo de la solución (detalles, si es aplicación que hace)
Reclutar voluntarios de todo Bolivia, agrupados por departamento, provincia, zona, distrito y barrios.
Entrenar a los voluntarios, con materiales escritos, audio-visuales y otros
Evaluar el nivel de disposición, aprendizaje y capacidad de tomar decisiones de los voluntarios
Certificar a los voluntarios, entregarles responsabilidades y acompañarlos en su actividad voluntaria
Alcance del proyecto
Llegar con conocimiento actualizado acerca de la pandemia causada por el SAR-COV 2, primeramente a los voluntarios (personas con el ánimo e interés de ser parte de esta red de apoyo), estos voluntarios asumirán responsabilidades en función de sus disposición, aptitudes, habilidades y hábitos de bioseguridad. Finalmente a través de ellos transmitir estas habilidades y conocimientos y apoyar a los adultos mayores, familias vulnerables, paciente y familiares de pacientes con COVID-19 positivo.
En qué otras áreas no tecnológicas necesitamos apoyo/conocimientos
Requerimos voluntarios multidisciplinarios, con diferentes grados de conocimiento desde especialistas hasta personas sin mucho conocimiento. También personas con capacidades de reconocer y formar líderes.
Requerimos personas con habilidades de generar material escrito, audio-visual, que nos permita entrenar a los voluntarios desde nivel 0 y llevarlos al siguiente nivel.
Requerimos conocedores en diseñar una página web para “Team_voluntarios” que contenga información, todos los recursos bibliográficos, de evaluación y políticas del proyecto.
Requerimos dirección jurídica para permanecer en la línea legal
A quiénes beneficia nuestra solución: usuario final
A los mismos voluntarios, adultos mayores, familias vulnerables, paciente y familiares de pacientes con COVID-19 positivo/recuperados
Avance durante la hackathon: Como lo construimos
Diseño (mockups), programa o aplicación (producto mínimo viable),
Se pretende crear una página web, con toda la información fácil de entender acerca de covid19, que contenga los formularios para evaluar a los voluntarios, líderes que ayuden a asignar responsabilidades y solucionar problemas. Grupos de apoyo y orientación de hábitos de bioseguridad.
Prototipo, experiencia, modelo
Esta red de voluntarios, estará clasificada geográficamente y por “líderes” según el grado de compromiso/responsabilidad, conocimiento y habilidades.
Problemas que encontramos
Poca participación activa de los integrantes, poco tiempo del Hackathon y falta de experiencia en este tipo de convocatoria.
Logros: qué aprendimos
Existe gran apertura y aceptación a este tipo de proyecto social y apoyo activo de algunos mentores, motivación entre otros.
Uso de Nuevas plataformas, Meeting, Zoom u otros medios online
Plan de acción
Innovación: web, mobile, hardware, IA, desktop, ingeniería, modelos, tecnologías.
Construcción de una página web, de fácil acceso en la puedan ingresar los todos los voluntarios y público en general para informarse y aprender acerca de la nueva pandemia. También permitirá evaluar (formularios online) a los voluntarios y clasificar a los voluntarios, para asignarles responsabilidades (otorgar credenciales) en función de su disponibilidad habilidades y compromiso (Certificados de Participación),
Impacto: Define las métricas del proyecto.
Qué Impacto va a generar mi solución: reducción/incremento de métricas, tecnología, sociedad, psicología, abogacía
Sociedad, psicología y educación: con este proyecto se pretende gestionar empatía y buen trato, considerando la adquisición de nuevos conocimientos, la práctica de buenos hábitos de higiene y bioseguridad necesarios para prevenir la transmisión exponencial de SAR-COV2 “coronavirus”
¿Es factible?
Sí
Por qué deberían escoger mi idea
Porque es lograble, de implementarse las metas a alcanzar pueden superar nuestras expectativas y los beneficiarios pueden llegar a ser miles.
Plan: ¿Qué materiales/información necesitamos? que tenemos disponible antes de empezar el evento?(Ej: software libre, open source) Que logramos durante el evento? Recopilar información de requerimientos, Armado Story Board, Tiempo y dinero (Línea de tiempo: alcance durante el evento, y de 3-6 meses)
Actualmente una fuente de información acerca de la pandemia en Bolivia es la página Web
https://www.boliviasegura.gob.bo/
y actualizaciones a nivel internacional
https://www.who.int/es
También las herramientas disponibles de Doogle Drive y otras apps.
Links
https://docs.google.com/document/d/1nCHNeTfFgKkwJh_mZBlBYIItu2SYo5rujdx0fw3P8L0/edit#
https://www.youtube.com/watch?v=2S6EGU3I-54
Código en Github + open source license
Enlace al Prototipo
Identificar y capacitar a lideres que puedan gestionar con el apoyo de la red soluciones acordes a las necesidades de su comunidad.
Video - pitch
1_1_2_1_#_Team_Voluntariado
Built With
espanol
google-drive
who
www.boliviasegura.org.bo
Try it out
docs.google.com | 1_1_2_1_#_Team_Voluntariado | Juntos podemos detener la transmisión exponencial del coronavirus. Adquiriendo conocimientos, practicando y fomentando hábitos para detener la transmisión del COVID19, la ignorancia y discriminación | ['NATALIA FLORES'] | ['Feature en la Pagina Web'] | ['espanol', 'google-drive', 'who', 'www.boliviasegura.org.bo'] | 5 |
9,912 | https://devpost.com/software/covi-bot-acompanante-en-tiempos-de-cuarentena | Inspiration
La actual crisis sanitaria provocada por la pandemia del Covid-19 ha traído consigo una explosión de información, sobre todo, en canales digitales y redes sociales que dan la facilidad a todos, para convertirnos en receptores, generadores o viralizadores de información que no siempre es contrastada. Esta Infopandemia generó en el colectivo social, una gama de emociones no siempre positivas sobre todo en la audiencia más joven.
What it does
Covi Bot es un asistente virtual que provee información relevante y fidedigna y acompañamiento a las personas en situación de emergencia por la epidemia de Covid. Trata de superar barreras tecnológicas mediante una experiencia amigable, información simplificada y facilidad de acceso. Tiene diferentes modos de interacción, incluyendo un modo proactivo, un modo de respuesta a preguntas y un modo de acompañamiento conversacional.
How I built it
en Marvelapp para los mockups
Challenges I ran into
En cuanto al proceso de ruta del lenguaje, el mayor reto fue el organizar el flujo natural, ademas de los tags clave de entendimiento, ya que entendemos que no hay peor fracaso que el usuario pregunte y nuestro bot no lo pueda entender.
En cuanto al desafió tecnológico, hemos evaluado la posibilidad de usar varias herramientas (Rasa, Watson y Dialogflow) y si la interfaz sera aplicada solo web o con una apk, para objetivos de cumplimiento del Hackaton, hemos optado por una interfaz básica en Android Studio. y una demo en Dialogflow
What's next for COVI BOT
Terminar el desarrollo en apk y cerrarlas alianzas municipales para su ejecución
Try it out
marvelapp.com | COVI BOT | Acompañante virtual en tiempos de cuarentena | ['nicolasalbamurillo', 'Atenas Vargas', 'Marcos Daniel Martinez', 'Angel Rosendo Condori Coaquira'] | ['Infraestructura tecnológica y acceso a plataformas (ej: código o créditos para la nube, marketing, plataformas de datos)', 'Programa de incubación para la implementacion de proyectos', 'Asesoría y orientación experta a equipos ganadores', 'Premio no-financiero para equipos ganadores', 'Feature en la Pagina Web', 'Reconocimiento y Visibilidad'] | [] | 6 |
9,912 | https://devpost.com/software/pilatos | PILATOS
Estación para Lavado de Manos Automático
Nombre del equipo
PILATOS
Integrantes
Moises Cristian Reynaga Cuellar
Jhonn Saldaña Rojas
Noemi Marisol Mamani Huanca
Problema
¿Cuál es el problema a resolver?
La enfermedad del COVID-19 se ha convertido en una pandemia global lo cual ha desencadenado en una crisis mundial de salud y económica.. Para prevenir la infección con el nuevo coronavirus se puede tomar medidas para reducir el riesgo de infección.
La Organización Mundial de la Salud (OMS) y el Centro para el Control y la Prevención de Enfermedades de los Estados Unidos (CDC) recomiendan seguir estas precauciones para evitar COVID-19:
Evitar eventos con mucha gente, y reuniones multitudinarias.
Evitar contacto cercano (menos de 6 pies o 2 metros) con cualquier persona que esté enferma o que presente síntomas.
Mantener distancia física entre tú y otros si la COVID-19 se está propagando en tu comunidad, especialmente si corres un riesgo más alto de una enfermedad grave.
Lavarse las manos con frecuencia con agua y jabón por lo menos por 20 segundos, o usar un desinfectante para manos con base de alcohol que contenga al menos 60% de alcohol.
Cubrirse la boca y la nariz con el codo o un pañuelo descartable al toser o estornudar. Desechar el pañuelo descartable usado.
Evitar tocarse los ojos, la nariz, y la boca.
Evita compartir platos, vasos, ropa de cama y otros objetos de la casa si estás enfermo.
Limpiar y desinfectar diariamente las superficies que se tocan con frecuencia.
Quedarte en casa y no ir al trabajo, a la escuela, ni a lugares públicos si estás enfermo, a no ser para recibir atención médica. Evitar el transporte público si estás enfermo.
De acuerdo con la Organización Mundial de la Salud (OMS) y como parte de las medidas de higiene y salud que se recomienda a nivel mundial ante la pandemia del COVID-19, el organismo internacional recomendó lavarse, en promedio, un total de 10 veces al día, por 20 segundos como mínimo,
En qué categoría se encuentra nuestro problema
El problema se encuentra en la categoría de Salud, ya que ayudaría como método de prevención en cuanto al contagio del COVID-19.
¿Quién está afectado por este problema?
La población en General. Personas de cualquier edad, incluso los niños, pueden contagiarse con COVID-19. Pero más comúnmente afecta a los adultos de edad mediana y mayores. El riesgo de tener síntomas peligrosos es más alto entre las personas de 65 años y mayores. El índice más alto de mortalidad por esta enfermedad está entre las personas de 80 años y mayores. Los riesgos son aún más altos para las personas mayores cuando tienen afecciones de salud no aparentes.
Solución
Objetivo de la solución (detalles, si es aplicación que hace)
PILATOS, es una estación de lavados de manos automático que ahorra el agua en un 85% por lavado, los sensores instalados evitan la necesidad de contacto con perillas de grifos, dispensadores de jabón y el posterior secado, así mismo cuenta con un sensor de temperatura corporal.
Alcance del proyecto
El proyecto tendrá un alcance a nivel nacional primeramente, posterior ello nos expandimos a nivel internacional.
En qué otras áreas no tecnológicas necesitamos apoyo/conocimientos
En el area de ventas.
A quiénes beneficia nuestra solución:
Con nuestro producto esperamos reducir el riesgo de contagio de la población en general.
Avance durante la hackathon
Realizamos un prototipo del documento e incorporamos algunas nuevas funcionalidades en el transcurso de la elaboración del producto.
PROCESOS Y PROCEDIMIENTOS DEL LAVADO DE MANOS AUTOMÁTICO
El Usuario Final US debe acercarse a la Estación de Lavado de Manos menor a un metro de distancia.
La ELM a través de un sensor automático activará la medición de temperatura del UF.
El UF debe poner las manos debajo del grifo, en posición para recibir agua.
La ELM mediante el grifo con sensor se activará automáticamente para desprender un chorro de agua ( 50 ml) para el humedecimiento de manos.
El UF posterior al humedecimiento de manos debe ponerlas debajo del bote de jabón líquido para recibir una cantidad.
La ELM contará de igual manera con un sensor en el bote de jabón líquido, el cual permitirá desprender 5ml de jabón antiséptico o Yodado una vez detecte la presencia del UF.
El UF debe frotar las manos y muñecas durante 30 segundos.
La ELM después de los 30 segundos desprende agua (250ml) para el enjuague de los manos.
El UF debe llevar las manos al secador para finalizar con el procesos.
La ELM contará con un secador de manos mediante un sensor al igual que los demás elementos.
Finalmente la ELM indicará el grado de temperatura del UF con el fin de controlar y verificar personas con altas temperaturas.
Usuario Final- UF Estación de Lavado de Manos - ELM
Problemas que encontramos
Al realizar el diseño en 3D
Logros: Aprendimos a generar valor agregado a la idea general,
Plan de acción
Innovación:
La innovación realizada es un sensor de Lavado de Manos
Impacto
Reducir el riesgo de contagio de la población en general a través del COVID19
Built With
componentes
dispositivos
elctronicos
mecanicos
programacion | PILATOS | Estación para lavado de manos automático, ahorra 85% de agua, los sensores instalados evitan el contacto con grifos, dispensadores de jabón y secado, cuenta con sensor de temperatura corporal. | ['Smaw Srl'] | ['Programa de incubación para la implementacion de proyectos', 'Premio no-financiero para equipos ganadores', 'Reconocimiento y Visibilidad'] | ['componentes', 'dispositivos', 'elctronicos', 'mecanicos', 'programacion'] | 7 |
9,912 | https://devpost.com/software/my-partner | Problema
La Pandemia ha producido caos jamás visto antes en nuestra historia, por ahora las únicas medidas para controlarlo son el aislamiento y la capacidad de adaptación que tendremos para convivir con ella. Debido a esto, la mayoría hemos sufrido un cambio abrupto en nuestro estilo de vida. Esto tiene y tendrá efectos de manera exponencial en la salud mental de nuestro pueblo. Sigilosamente se están desarrollando alteraciones psicoemocionales como estrés y depresión entre otros, deben ser atendidos inmediatamente. Es por eso que vemos que es fundamental que se tenga en cuenta la salud mental de nuestra gente, ¡hoy más que nunca!, debido a que el impacto puede derivar en otros problemas sociales en el futuro,
Solución
Hemos creado una aplicación, en la cual las personas pueden recibir y compartir apoyo emocional, sobrellevar la difícil situación diaria, y así, reducir el desarrollo de alteraciones psicológicas que se están produciendo, Paralelamente evitamos la proliferación del virus y optimizamos la salud mental de las personas,
Try it out
drive.google.com | MY PARTNER | Crear comunidades positivas con asistencia psicológica. | ['Mary Magali Villca Cruz'] | ['Infraestructura tecnológica y acceso a plataformas (ej: código o créditos para la nube, marketing, plataformas de datos)'] | [] | 8 |
9,912 | https://devpost.com/software/educaradio | EducaRadio
Nombre del equipo
Equipo_2_1_1_1_radio_educacion_rural
Integrantes
Jonatan Sanchez Choque
Velsi Zarate
Wigner Iván Flores Huampo
Problema
¿Cuál es el problema a resolver?
La Educación restringida por la emergencia sanitaria covid-19 en los niños del área rural (3ro a 6to de primaria).
En qué categoría se encuentra nuestro problema
Educación
¿Quién está afectado por este problema?
Los estudiantes a nivel nacional del sistema regular y con más intensidad los del area rural
Solución
Objetivo de la solución (detalles, si es aplicación que hace)
La idea es brindar productos comunicacionales con contenido educativo por medio de las radios ya establecidas, que permitan apoyar el proceso educativo en los niños del área rural del nivel primario.
Se pretende ir aumentando en un futuro los niveles (inicial y secundaria).
Alcance del proyecto
Crear productos comunicacionales (audios) con contenidos educativo en las materias de lenguaje, matemáticas, ciencias sociales y ciencias naturales que se pueden descargar y transmitir por diferentes radios que ya están consolidadas, desde una página web.
Fomentar un 20% la educación en los estudiantes del area rural.
En qué otras áreas no tecnológicas necesitamos apoyo/conocimientos
-Conocimientos en pedagogía/psicología del aprendizaje
-Conocimientos en comunicación
-Conocimientos en storytelling
A quiénes beneficia nuestra solución: usuario final
La solución ayudará a que los estudiantes de 3ro a 6to de primaria sigan educándose aunque no estén en la escuela
Avance durante la hackathon
Como lo construimos
Primero al tener en mente el problema y la solución, creamos un MVP que consta de dos aspectos importantes, el primero es la creación de un audio base, una pequeña demostración de lo que se quiere obtener como producto (audios), lo segundo fue crear una página web amigable que permita el acceso de las diferentes emisoras radiales a la descarga de los audios que están organizados de manera que resulta fácil encontrar el contenido y descargarlo.
Problemas que encontramos
En este momento no tenemos la certeza que el producto sea fácilmente adquirido por las radios, puesto que tienen una programación estricta, pero intentar no esta demas.
Estamos conscientes de que no todos los niños escucharan el programa porque dependera de la programacion radial, de los padres que les acompañen o simplemente dejarles la radio con la consigna de estar atentos a la misma, que muchos profesores no estaran de acuerdo, pero apostamos a que las familias quieren que sus hijos se sigan educando y que se pondran manos a la obra para seguir aprendiendo.
Logros: qué aprendimos
Aprendimos a soñar, a crear soluciones que permitan una rápida respuesta ante esta coyuntura en el sistema educativo
Plan de acción
Innovación:
Se utilizará una web responsive adaptado al celular como una una computadora
Se utilizará un podcast/youtube como almacenamiento de los audios creados.
Impacto: Define las métricas del proyecto.
Qué Impacto va a generar mi solución:
Incremento de la población estudiantil que recibe contenido educativo
Factibilidad
Los estudiantes del área rural tienen más accesibilidad a la radio que a otros medios de comunicación.
Para la creación de los contenidos comunicacionales, se reconoce que el proceso de aprendizaje de la creación de contenidos comunicacionales es mucho menor que la creación de aulas virtuales y contenido audiovisual.
Por qué deberían escoger mi idea
Tenemos una solución pronta y oportuna accesible a una población amplia de un sector vulnerable como es la población estudiantil del área rural.
Plan:
¿Qué materiales/información necesitamos?
Los contactos de las radios
La población estudiantil en 3ro a 6to de primaria del area rural
La población del area rural que tiene radio
Profesores con celulares que tengan acceso a internet, para la creación y difusión de los contenidos comunicacionales.
Que tenemos disponible antes de empezar el evento?
Una comunicadora
Un ingeniero de sistemas
Un profesor
Un documento PDF sobre el guión radial (para las grabaciones)
Pagina web (gratuita)
Que logramos durante el evento?
Recopilar información de requerimientos,
Armado Story Board,
Tiempo y dinero
Línea de tiempo: alcance durante el evento
Desde la linea de tiempo podemos indicar que no se contaba con ninguna pagina web ni audio, y poco a poco se fue avanzando hasta lograr el programa (base de demostración) para ello se busco a niños que hagan parte del programa, por otro lado, se trabajó en la página web a partir de subdominios gratuitos.
De 3-6 meses
Vamos en la creación de al menos 2 contenidos por semana subidos a la plataforma
Crear presencia en redes sociales (Fan page de Facebook, Canal de Youtube) y publicación en grupos referidos a educación
Contacto con las radios y ver su respuesta
Emisión de los audios educativos al menos por dos radios una vez que se tenga al menos 10 episodios.
Invitación a más profesores para que sean creadores de contenidos.
Dinero
Página web 20 Dolares anuales
1000 bs al mes por socio por medio tiempo de trabajo de los 3 socios, y 2 socios adicionales del área de educación (
Los ingresos seran con base en el patrocinio de las ONG’s u otras instituciones y o donaciones.
Links
Pagina web:
http://educaradio.byethost31.com/
Audio Demo de 45 seg.
https://drive.google.com/file/d/1s6ZpKPjhEjctiX0T5l3VfdUznuzHIIDR/view?usp=sharing
Video - pitch
https://devpost.com/software/educaradio/joins/ow8ZVOPZ1mzYriKMBZB9oQ
Try it out
educaradio.byethost31.com | EducaRadio | Buscamos reducir la desigualdad en educacion de los niños en areas alejadas donde llega la señal de radio y transmitir por ese medio audio educativos para toda Bolivia | ['Jonatan Sanchez', 'Ivan Flores', 'Velsi Zarate'] | ['Infraestructura tecnológica y acceso a plataformas (ej: código o créditos para la nube, marketing, plataformas de datos)', 'Programa de incubación para la implementacion de proyectos', 'Asesoría y orientación experta a equipos ganadores'] | [] | 9 |
9,912 | https://devpost.com/software/sistema-integral-de-desinfeccion-s2neo3 | HOME SAFE
Nombre del equipo Sistema_integral_de_desinfeccion
Integrantes William Medardo Chávez Chávez
Daniela Marca Baldellón
Jasson Chávez coronel
Ximena Patricia Villafán Gómez
Problema
● ¿Cuál es el problema a resolver?
Buscamos evitar la propagación del COVID 19.
Los bolivianos nos encontramos preocupados por nuestra salud, en especial por la presente crisis sanitaria causada por el COVID 19. Los padres de familia salen a trabajar, hacer compras para abastecer a sus hogares o para hacer sus labores cotidianas bajo una gran exposición al virus. Existe la susceptibilidad e inseguridad de regresar a sus hogares y exponer al contagio a sus familias.
● ¿En qué categoría se encuentra nuestro problema?
Se encuentra en la categoría 1421 salud pública, Comunidades Desprotegidas.
● ¿Quién está afectado por este problema?
Todas las familias bolivianas.
Solución
● Objetivo de la solución (detalles, si es aplicación que hace)
Viendo la necesidad de las familias bolivianas de obtener un sistema de desinfección para sus hogares y no poder acceder al mismo, por el alto costo.
Estamos presentando sistemas de desinfección domiciliarias portátiles que se podrán instalar en puertas de ingreso o salidas del hogar que ayudarán a disminuir el riesgo de contaminación del virus con un desinfectante orgánico.
El desinfectante utilizado es el DESFAN-100 es un fungicida-bactericida-alguicida-viricida de origen y procesos naturales.
Este sistema de desinfección abarca una altura desde los hombros hasta los pies, evitando así el contacto con el rostro y vías respiratorias.
● Alcance del proyecto
Se pretende abarcar gran parte del país, en especial a las familias más vulnerables.
● En qué otras áreas no tecnológicas necesitamos apoyo/conocimientos.
Se necesitará un apoyo social para lograr llegar a las familias bolivianas y poblaciones/comunidades alejadas.
● A quiénes beneficia nuestra solución: usuario final
A las familias bolivianas.
Avance durante la hackathon
● Como lo construimos
○ Diseño (mockups), programa o aplicación (producto mínimo viable)
Diseño 3D
○ Prototipo, experiencia, modelo
Modelo escala:
Bomba de agua de 0.5hp
6 metros de tubos de PVC
4 codo de PVC
Interruptor de encendido y apagado
Bidón de agua de capacidad de 20 litros
● Problemas que encontramos
Escoger un agente químico inofensivo para la salud.
Elección de los materiales adecuados.
Antecedentes y observaciones de cámaras de desinfección por la OMS/OPS
● Logros: qué aprendimos
Modelo alternativo de una cámara de desinfección con agentes químicos orgánicos inofensivos a la salud
El DESFAN 100 es un complejo orgánico altamente versátil que puede ser empleado en equipos de proceso, áreas de trabajo, materias primas y ambientes en general; actúa por contacto, por lo que no genera resistencia microbiana. Su alta solubilidad permite que sea fácil de trasportar por micro capilaridad dándole un mayor alcance de controles un fungicida-bactericida-alguicida-viricida de origen y procesos naturales, por lo cual está indicado para formar parte de Programas de Manejo Integrado de Plagas y Enfermedades. Es un producto libre de amonios cuaternarios.
Plan de acción
● Innovación: web, mobile, hardware, IA, desktop, ingeniería, modelos, tecnologías.
Sistema alternativo de desinfección
● Impacto: Define las métricas del proyecto.
○ Qué Impacto va a generar mi solución: reducción/incremento de métricas, tecnología, sociedad, psicología, abogacía
Reducirá el riesgo a la salud, que las cámaras de desinfección presentan.
○ ¿Es factible?
Está compuesto por materiales fáciles de obtener en el mercado y a precios accesibles. Los cuales lo convierten en un sistema de desinfección factible.
○ Por qué deberían escoger mi idea
● Plan: ¿Qué materiales/información necesitamos? que tenemos disponible antes de empezar el evento? (Ej: software libre, open source) Que logramos durante el evento? Recopilar información de requerimientos, Armado Story Board, Tiempo y dinero (Línea de tiempo: alcance durante el evento, y de 3-6 meses)
Links
https://www.youtube.com/channel/UCYIOMVkKSJjjttLHGaMobGQ/
https://www.canva.com/design/DAD7J7iCMhw/z3AiqfgkU5nDea_bAGWk6w/edit
Built With
3d
disenos
investigacon | sistema integral de desinfección | sistema de desinfección portátil domiciliario al alcance de todos | ['Medardo chavez', 'Ximena Villafan Gómez', 'JASSON CHAVEZ', 'Daniela Marisabel Marca Baldellon'] | [] | ['3d', 'disenos', 'investigacon'] | 10 |
9,912 | https://devpost.com/software/tu-case-en-linea | Logo
GIF
PRESENTACIÓN COMPLETA - gif de 5 segundos por hoja
Pagina web
Parte 1
Parte 2
Parte 3
Parte 4
Encuesta 1
e2
e3
e4
HISTORIA
Debido al COVID-19 vivimos una crisis sanitaria, humana y económica sin precedentes, donde se han habilitado supermercados, restaurantes grandes con entrega a oficinas, domicilios, puntos móviles sobre camión para provisión de verduras.
El estado plurinacional de Bolivia ha informado que desde el 10 de mayo, iremos dejando la cuarentena y/o aislamiento, se debe retornar al trabajo gradualmente, reducir el desplazamiento de las personas al mínimo, por lo que el almuerzo debe ser en el lugar de trabajo, a un costo accesible, con opción de pago por medios electrónicos QR, banco, descuento por planilla y efectivo.
Los gobiernos Autónomos Municipales, a nivel nacional tienen mercados municipales dirigidos a prestar servicio de venta de comida (plaza de comidas), venta de verduras, frutas, material de limpieza, carne, etc. donde los dueños de los locales de expendio de alimentos, los cocineros, se encuentran registrados, tienen carnet sanitario, se controla los productos que comercializan a diario, existen lavanderías atrás, que hasta el día de hoy raramente utilizados, los mercados son grandes, pero el flujo de personas antes del virus era reducido porque el comprador prefería comprar en la calle, del piso, práctica que hoy en día con el covid19, representa un alto riesgo para la salud debido a que el virus cae al asfalto y dura varias horas, hasta días.
Después de los estudios de aguas residuales en Europa, quedó establecido que existe covid19 en ellas, por lo que es importante asegurar la desinfección de las verduras, hortalizas, frutas antes de comercializar.
Los productores en el área rural hoy en día, al no poder traer sus productos a los mercados, vendieron al principio a precios de regalo, ahora están realizando trueque con abarrotes, igual son víctimas de intermediarios abusivos que traen las verduras en sus camiones, a las diferentes zonas del departamento.
El vendedor de comida, de fruta, de verduras, de estos mercados municipales sabe que debe cambiar el modo de ofrecer sus productos, en algunos casos especializarse según experiencia, mejorar tiempos de entrega, ingresar a la banca, respetar turno de salida según su número de cedula, etc.
El nuevo comensal o comprador, requiere los productos en el lugar que trabaja, que vive, acorde a su economía, variado a su gusto y rápido.
Nosotros 3 personas que nos encontramos en línea en la plataforma Slack, decidimos juntarnos para ayudar a los pymes, que por experiencia de activista por la salud pública, propuse la problemática, se lanzó encuestas que nos hicieron, aumentar el pedido de proveedores y complementamos con los postres.
IDENTIFICACION DEL PROBLEMA
Desigualdad de oportunidades de los pymes de los mercados municipales, para entrar en la cadena de suministro, como proveedores seguros de servicio de comida, de alimentos, insumos a las empresas públicas, privadas y personas en general.
En qué categoría se encuentra nuestro problema
ECONOMÍA
SOLUCIONES
Implantar una plataforma para comercializar alimentos seguros, económicos de los mercados municipales a empresas públicas, privadas y público en general.
Gestionar los pedidos, entrega y pagos entre proveedores de comida pymes y los comensales respaldados por su empresa contratante.
Dar el servicio a los vendedores de verduras, frutas con el etiquetado, peso, para pago por QR, banca electrónica, otros.
Consolidar un equipo de fuerza de ventas al usuario
Consolidar un equipo de profesionales capacitados que respondan al crecimiento, capaces de innovar y mejorar el sistema de administración continuamente, para satisfacer demandas y emprender nuevos retos.
Tener la plataforma abierta a proveedores de verduras, abarrotes y alimentos de origen animal.
Análisis de datos, requerimientos, retroalimentación.
PARA QUE
Cuidamos la economía y salud del consumidor que pagará por un almuerzo nutritivo y seguro, sin tener que desplazarse al mercado, abaratando costos con la entrega consolidada, ahorrando tiempo suficiente al empleador para organizar el turno en los comedores.
Activamos el mercado de abastecimiento municipal, que por estar cerrado ha motivado el auge de intermediarios que pagan precios de regalo al productor rural, sumiéndolos en mayor pobreza y precios caros al comprador. | #4_2_2_2_pymes - TU CASE EN LINEA | Igualar condiciones de pedido, pago y entrega de comida entre proveedores de comida a través de la implementación de un servicio de comercio electrónico en plazas de comida municipales y empresas. | ['Nadia Jael Ramirez Pareja', 'Patricia Mónica Nogales Vera'] | [] | [] | 11 |
9,912 | https://devpost.com/software/4_2_1_1_tinki | Tinki
Nombre del equipo
#4_2_1_1_tinki
Integrantes
Alejandro Núñez Arroyo
Fabricio Jallaza
Fabrizio Ayoroa
Mariana Molina
Sergio Fernandez
Xavier Montaño
Problema
Los negocios informales se encuentran cerrados en este momento, sin ningún tipo de ingreso económico. El tratar de conseguir ingresos deriva en un riesgo para la salud pública.
Estamos en la categoría Economía y negocios. Este problema afecta a todo aquel que tiene un negocio informal, el cual representa un 77% de los negocios a nivel Bolivia.
Solución
Conectamos a los vendedores informales con compradores de todo el país mediante una plataforma en línea y un servicio de entregas a domicilio. Inicialmente se realizará un proyecto de alcance local, en la ciudad de La Paz, con proyecciones a una expansión interdepartamental en base a un estudio de mercado. Los comerciantes y proveedores, aprovechan una expansión del alcance de la oferta de sus productos y nuestros clientes se benefician del uso de un sistema seguro que proporciona confianza en la adquisición de pedidos.
Avance durante la hackathon
Utilizamos la plataforma web con el sistema de gestión de contenidos de wordpress para tener un prototipado rápido de la aplicación, que sirve como una visión a grandes rasgos del proyecto final. Tuvimos algunos altibajos como ser que encontramos la necesidad un experto en PenTesting para asegurar la seguridad del usuario a ciberataques, asimismo, garantizar la seguridad de transacciones es una preocupación primordial. Mantener el estándar de calidad de productos perecederos representa una dificultad importante, que al mismo tiempo se relaciona con el obstáculo de convencer grandes cantidades de personas de la utilidad de la plataforma y alentarlas a su uso. Afortunadamente, se desarrolló exitosamente el prototipo de la plataforma web, se implementó el programa informático de WooComerce, se logró definir y delimitar nuestro mercado objetivo y establecer un programa a largo plazo del crecimiento de la plataforma.
Plan de acción
Para el desarrollo del proyecto se hizo uso de herramientas innovadoras dentro del área de Web development, sistema de gestión de bases de datos, comercio electrónico, estrategias de marketing y métodos de investigación de mercado.
El mayor impacto que se planea alcanzar es la reactivación económica del mercado informal, asimismo la creación de una comunidad confiable de comercio en línea. Para estudiar el desempeño y la aceptación de Tinki usamos métricas basadas en los ingresos desglosados según su canal de procedencia, retorno de la inversión, tasa de conversión (tasa de personas que ingresan a la página y realizan una compra), y coste de adquisición de clientes. Tinki es factible gracias a nuestra propuesta de valor y su escabilidad. Proponemos un sistema que garantiza la entrega de los productos y un método de pago seguro. Además de no realizar ningún tipo de cobro (comisión) a nuestros comerciantes, para no afectar sus ingresos.
Built With
adobe-illustrator
css3
facebook
html5
instagram
javascript
miro
photoshop
woocomerce
wordpress
Try it out
www.tinki.website | #4_2_1_1_tinki | Tinki ayuda a conectar vendedores informales y compradores en todo el país, evitando el contacto físico o aglomeraciones, con entrega a domicilio. | ['Alejandro Núñez Arroyo', 'Mariana Molina', 'Fabrizio Ayoroa Chavarria', 'Sergio Fernandez', 'Fabricio Jallaza', 'Xavier Montaño'] | [] | ['adobe-illustrator', 'css3', 'facebook', 'html5', 'instagram', 'javascript', 'miro', 'photoshop', 'woocomerce', 'wordpress'] | 12 |
9,912 | https://devpost.com/software/kuyuy-plataforma-de-comercio-electronico-nf01dh | Inspiration
Kuyuy fue creado para resolver un problema de los comerciantes minoristas, para que ellos puedan vender sus productos a todas las personas
What it does
Kuyuy es una plataforma de venta con productos de bajo costo
Built With
angular.js
firebase
javascript
node.js
Try it out
github.com | Kuyuy plataforma de comercio electrónico | Kuyuy los mejores productos de Bolivia | ['RICHARD GUTIERREZ CONDORI', 'Dennis Padilla', 'eli adu'] | [] | ['angular.js', 'firebase', 'javascript', 'node.js'] | 13 |
9,914 | https://devpost.com/software/teste-jnk5z4 | Pipeline utilizado para o tratamento das imagens de raio-X e treinamento da rede MLP para classificação e auxílio no diagnóstico de COVID-19
Ferramenta SWeeP, originariamente desenvolvida para tratamento de sequências biológicas.
Uso da ferramenta SWeeP para tratamento de imagens.
EQUIPE
Somos a equipe
Trekkers
formada pelos alunos de mestrado em Bioinformática da UFPR Camila, Monique, Guilherme, André, Leonardo e Selma. Estamos participando do HackCovid 2020 e nosso desafio foi o
#d051 IA e Ciência de Dados para Apoio à Decisão Clínica.
MOTIVAÇÃO
A doença COVID-19 é caracterizada por acometer os pulmões. Dois dos exames realizados para auxiliar no diagnósticos são o raio-X e as tomografias. As tomografias são usadas como exame padrão para o diagnóstico para a COVID-19, uma vez que apresenta uma série de indícios como presença de vidro fosco bilateral, consolidações bilaterais e efusão pleural. Esses indícios são observados com razoável facilidade e são fortes indicativos do COVID-19. Por outro lado, os raios-X não fornecem muitas pistas visíveis, exigindo recorrer a tomografia. Entretanto, os raios-X são exames de rotina, realizados nos pacientes com muito maior frequência e possíveis de se realizar em quase todos os hospitais, inclusive os de maior precariedade.
Logo, está nos raios-X o verdadeiro desafio!
Se fosse possível utilizando imagens de raios-X ter um indicativo para a COVID, isso permitiria acelerar o seu diagnóstico e assim antecipar o tratamento e evitar maior contágio. Por este motivo, a equipe Trekkers propõe a construção de uma rede classificatória de imagens de radiografias nas classes “NORMAL”, "COVID" e “OUTRAS DOENÇAS”, como um auxiliar no diagnóstico do covid, e na identificação de outras doenças pulmonares.
MÉTODO
Bancos de Dados
Realizamos uma busca por dados nos bancos
chestX
e de desafios do
Kaggle
, como nos links indicados:
chestX
Kaggle01
Kaggle02
Os bancos de dados nos forneceram um número de raios-X mínimo para o treinamento de uma rede classificatória.
Totalizamos 458 raios X, dos quais:
148 com covid-19
528 saudáveis
282 raios-X de pulmões acometidos por outras enfermidades
Passo 1 - Tratamento das imagens
O primeiro passo consistiu no tratamento das imagens para escala de cinza, na sua redimensionalização para uma mesma escala padronizada e então sua conversão da imagem para uma matriz numérica binária.
Passo 2 - SWeeP
Por segundo, as imagens tiveram uma redução de dimensionalidade com o uso de projeção. Essa redução é feita com o SWeeP, uma ferramenta desenovolvida pelo laboratório de Inteligência artificial aplicada a bioinformática da UFPR. O SWeeP foi publicado este ano de 2020 na
Scientific Reports
, e está atualmente disponível para download para MATLAB, R e python.
Passo 3 - Treinamento da rede de classificação
Com as matrizes das imagens com tamanho reduzido pelo SWeeP, foi possível realizar um treinamento com rede MLP (
multilayer perceptron
). Foi utilizado crossvalidation, com kfold de 5. A prorção treino-teste foi 70:30, com reseva de 10% dos dados para validação.
Com as redes treinada, tornou-se possível classificar as imagens nas três categorias mencionadas.
É preciso enfatizar que essa classificação não é um diagnóstico, mas um indicativo que serve como apoio ao diagnóstico.
NOSSO DIFERENCIAL
O SWeeP é uma ferramenta originariamente desenvolvida para o processamento de sequências biológicas como de aminoácidos e nucleotídeos em que uma sequência é convertida em matriz binária e então multiplicada por uma matriz de projeção ortonormal randômica, resultando numa redução de dimensionalidade para um vetor de 600 bits cada sequência. Contudo não iremos usar sequências biológicas, mas imagens de raios X também convertidos em binárias. A redução de dimensão por meio de projeção randômica permite que as informações pouco úteis sejam descartadas, e padrões característicos sejam realçados. A redução de dimensão por meio de projeção randômica atua diferentemente de uma PCA (analise dos componentes principais). Na PCA, se mantém apenas os componentes mais correlacionados, podendo haver perda de informações relevantes para a classificação. Uma matriz randômica evita essa perda de informação.
Outra vantagem do método é a redução no tempo de processamento e treinamento das redes, permitida pela redução de dimensão mediada pelo SWeeP.
RESULTADOS
Realizamos uma série de treinamentos com variadas dimensões de rede e parâmetros. Obtivemos nosso melhor resultado com acurácia de 70%, e F1-Score, precisão e recall de 60%. O que é um ótimo resultado, considerando o tamanho reduzido de imagens utilizadas para treinamento.
Realizamos
crossvalidation
com
kfold
de tamanho 5 e reservamos 10% da amostra para validação.
Um
estudo
similar de classificação de raios x com redes convolucionais obteve 94% de acurácia
contudo possuía um banco de imagens 10 vezes maior, o que lhe conferiu vantagem.
A nossa ferramenta ainda exigirá maior treinamento para ser disponibilizada, com o uso de um banco de imagens maior, inclusive a presente neste estudo.
PRÓXIMOS PASSOS
Aprimorar o treinamento com o uso de um banco de dados com maior quantidade de imagens.
Realizar um estudo aprofundado da metodologia aqui proposta.
Estudar a possível aplicação para outras enfermidades e para outros tipos de imagens que possam auxiliar no diagnóstico do COVID-19 e outras enfermidades.
Disponibilizar a ferramenta online, de forma simples e acessível para uso médico livre e gratuito.
Estamos buscando mais dados para o desenvolvimento da ferramenta em parcerias com hospitais. Para contato:
Camila P Perico:
[email protected]
Monique Schreiner:
[email protected]
Built With
matlab
sweep
Try it out
drive.google.com
github.com | Trekkers: Classificador de raio-X de pulmão para COVID-19 | Classificador de raio-X de pulmão | ['Monique Schreiner', 'Camila Pereira Perico', 'André Caliari', 'SELMA DOS SANTOS CAROLINO DE ANDRADE', 'Leonardo Custodio', 'Guilherme Taborda Ribas'] | ['Prêmio #cientistaspelavida'] | ['matlab', 'sweep'] | 0 |
9,914 | https://devpost.com/software/vera-nz1stb | Posso te ajudar a ler notícias?
Etapas do trabalho.
Pra você entender em poucas palavras
A distribuição desenfreada de boatos ou falsas informações pode causar muitos problemas à população, como o inadequado uso de medicamentos sem prescrição médica, por exemplo. O momento de pandemia ainda torna mais crítica e perigosa a propagação de tanta desinformação. Assim, faz-se necessária a busca por uma ferramenta de auxílio a essa problemática.
Nossa proposta foi inspirada não só nas inúmeras notícias e casos sendo relatados, mas também nas pesquisas que estão sendo feitas atualmente, na expertise da nossa equipe em análise de redes complexas e na Operação Serenata de Amor, que tem como objetivo a fiscalização dos gastos públicos por parte dos parlamentares brasileiros.
Será feita uma fiscalização do conteúdo das mensagens postadas por influenciadores nas redes sociais. Caso o conteúdo esteja associado aos termos de um assunto predeterminado, Vera, nosso bot de verificação, dispara na rede social uma mensagem aos usuários alertando que o conteúdo da mensagem é suspeito e pede que o usuário participe do processo de checagem. Essa fiscalização será 24 horas por dia. O diferencial da Vera é que esta checagem de informação será feita no momento em que o influenciador fizer a publicação, portanto a Vera poderá impedir a disseminação de uma informação falsa.
Hoje em dia, temos uma variedade de APIs disponíveis para checagem de semântica do texto, varreduras de notícias, portais de FakeNews de grandes agências de comunicação, pesquisas científicas na área de linguagem e mineração de texto. Vera nasce justamente para automatizar a utilização destas APIs e métodos, ou seja, ela irá unir as medidas já existentes de combate a Fake News e facilitar o uso para o usuário comum.
A Vera inicialmente fiscalizará os influenciadores no Twitter, chamado
@verafalou
. O usuário só precisa seguir o perfil da Vera para receber as checagens “ao vivo”.
Nos ajude a divulgar #chamaavera
Se a Vera falou é Verdade! #chamaavera
Uma etapa colaborativa e muito importante é tornar a Vera grande, ou seja, ela conseguir alcançar muitas pessoas nas redes sociais. Criamos a hashtag #chamaavera para denunciar tweets em que o conteúdo parece ser falso e para ajudar a divulgar a nossa robozinha favorita do combate a FakeNews. No Twitter o usuário poderá ver o histórico de checagem que a Vera realizou, quais os influenciadores que a Vera estará fiscalizando e claro, poderá sugerir perfis que não estejam na lista. Então, quanto maior for a Vera, melhor será seu combate à informações falsas.
Metodologia
Separamos em três etapas o processo de desenvolvimento e funcionamento da Vera. A imagem abaixo ilustra as etapas e em seguida iremos falar mais sobre cada uma.
1. Processamento de Dados
Esta etapa consiste em coletar, através de API, um grande volume de twitters postados por vários usuários na rede. Este grande volume de dados faz-se necessário para identificar quem são os influenciadores.
O Twitter possui vários tipos de mensagens compartilhadas sobre diversos assuntos, portanto precisamos filtrar as mensagens para coletar usuários que estão postando sobre o assunto de nosso interesse. No nosso caso, filtramos palavras que remetem ao assunto da pandemia. Assim nossa coleta terá apenas usuários que estão falando ou compartilhando publicações sobre a pandemia. As palavras foram definidas a partir de uma consulta ao Google Trends.
Após a definição das palavras chaves, utilizamos uma API de coleta disponível no git. Deixamos por horas executando a coleta para termos um número alto de tweets e usuários.
Os dados que coletamos contém o usuário e o twitter postado, e também os usuários que retweetaram a mensagem. Desta forma, conseguimos construir um grafo de influência, onde os nós são os usuários e as arestas são as interações de retweet. Um usuário que possui uma mensagem muito retweetada, terá várias arestas no grafo. Após a construção, obtivemos um grafo com 94633 nós e 137820 arestas.
2. Análise de Influenciadores
Após a construção do grafo, a segunda etapa identifica os influenciadores na rede. Identificar os influenciadores é importante para a sabermos quem a Vera irá fiscalizar.
Com o grafo em mãos, utilizamos métricas de centralidade para identificar quem são os nós mais importantes. Como exemplo, temos o PageRank que identifica os nós que estão sendo bastante citatos por outros nós. Desta forma, a alta centralidade representa que o usuário é bastante retweetado. Outra medida utilizada é o Closeness, que identifica os nós que são centrais na nossa rede, ou seja, os usuários que tem muitos outros usuários próximo dele. Assim, conseguimos dizer que estes usuários com alta centralidade são influenciadores.
Com o grafo mudando ao longo do tempo, podemos ter uma alteração dos influenciadores ao longo do tempo. Isso faz sentido, pois sempre temos influenciadores aparecendo e até influenciadores que são deixados de lado (isso tem acontecido na pandemia, né?).
3. Vera
Agora que possuímos a lista de influenciadores, podemos pedir a Vera para fiscalizar essas pessoas.
Como irá funcionar a fiscalização?
Possuímos na internet vários sites de investigação de fake news, por exemplo, G1, E-farsas, Lupa, Pública entre outros. Temos também trabalhos na área de processamento linguagem para identificar se a frase é falsa ou não, por exemplo o trabalho de FaceCheck feito pela USP e outros parceiros. Não é só isso, temos APIs disponíveis no git para varredura de notícias na internet para identificar se um determinado texto foi dito por algum canal de comunicação e também APIs para busca em artigos científicos. Uau, temos muitas ferramentas já disponíveis para auxiliar na identificação de fake news.
Assim, surge a Vera que é uma robozinha que irá facilitar a utilização de todas essas ferramentas. Quando um influenciador postar algo, ela automaticamente irá verificar se o que foi dito já foi investigado pelos canais de comunicação, varrer as notícias publicadas por grandes sites de notícias, verificar através de processamento de linguagem e claro, buscar em artigos científicos.
Após todo esse processo de busca, ela informará ao usuários se o tweet do influenciador tem referência a alguma notícia ou a algum artigo científico. Caso a Vera não encontre, ou encontre fatos que dizem algo diferente, ela dirá que tem a possibilidade de ser fake news e pedir para o usuário investigar melhor as informações. Incrível, não?
A Vera filtrará os tweets feitos pelos investigados, pois nem sempre eles estão falando sobre assuntos do interesse da Vera. Utilizaremos o mesmo filtro que utilizamos para gerar a nossa rede de influência.
Outro ponto muito importante é que a Vera acabou de nascer, estamos empenhados e motivados a não só utilizar o que já existe de pronto na internet. Queremos desenvolver os seus próprios métodos de varredura de informação, de processamento de linguagem, mineração de textos, aprimorar sua inteligência artificial após possuirmos histórico de dados para o treinamento.
Iremos deixar a Vera gigante e acessível a todos na internet, basta segui-la.
Nossa jornada até aqui
Os motivos pelos quais estamos orgulhosos:
Considerando o espaço curto de tempo e o fato de ser nosso primeiro Hackathon, ficamos orgulhosos pela forma em que nos organizamos para desenvolver o trabalho. Uma vez definindo o problema, fomos capazes de atacar diferentes frentes a fim de agilizar o desenvolvimento. Em momentos de dúvidas, conseguimos nos reunir para resolvê-las e deixar o processo o mais claro possível para todos. A coleta do volume de dados que conseguimos, a construção de uma base de dados orientada a grafos usando o Neo4J e toda a ideia envolvendo a Vera (inclusive o nome), são os principais aspectos pelos quais nos orgulhamos. Além disso, nenhum de nós tinha experiência ou havia ainda trabalhado de fato no tema, apesar do interesse. Além de desafiador, isso nos levou a refletir sobre questões que ainda não havíamos considerado durante todo o tempo de implementação do projeto e certamente atuar nesse assunto abriu nossos horizontes.
Tivemos alguns desafios...
um dos maiores foi, num primeiro momento, definirmos qual problema atacar. Os desafios propostos, e que nós sabíamos que poderíamos atuar de acordo com as nossas habilidades, são relevantes para o momento e cada um possui um determinado alcance. No entanto, nos deparamos com a preocupação sobre a continuação do projeto no ‘pós-pandemia’, o que acabou guiando nossa decisão pelo tema das fake news. Outros desafios, relacionados à implementação do projeto e análises que realizamos, compreendem a limitação de processamento computacional com os equipamentos que utilizamos, por exemplo, para o processamento de métricas importantes do grafo de usuários que construímos.
Mas também aprendemos...
que organização e uma boa comunicação são essenciais para o desenvolvimento de soluções em tão pouco tempo. Além disso, aprendemos detalhes sobre a problemática das Fake News que antes não tínhamos total conhecimento, desde os impactos delas nas pessoas em tempos de pandemia, até o papel de pessoas influentes em sua possível disseminação.
Segundo a metodologia para classificação do nível de maturidade tecnológica aplicável aos projetos de inovação, o
TRL (Technology Readiness Levels)
, nossa solução hoje está situada em TRL4. A tecnologia se encontra na fase de prova de conceito, os componentes tecnológicos básicos podem ser integrados para trabalharem conjuntamente, como descrito no diagrama do projeto. As análises dos componentes envolvidos foram realizadas a nível de laboratório, coletando dados e identificando os influenciadores para, no futuro, podermos aplicá-la em ambiente relevante.
O futuro
Expansão:
Imagina se a Vera fiscalizasse não só o Twitter, mas também o Instagram, Facebook, grupos abertos do Whatsapp e até o YouTube? Incrível, não? Pois é, a Vera tem potencial para isso, ela só precisa da sua ajuda.
Para o Instagram, Facebook e grupos do Whatsapp basta só uma pequena expansão para chegarmos nestas redes sociais. Para o YouTube, a ideia seria utilizar métodos que transformem a fala dos influenciadores em textos e assim conseguir analisar tudo que foi dito naquele vídeo de youtube que você utiliza para se informar.
Ambiente Colaborativo:
Já está em desenvolvimento o site da Vera. Este site conterá o histórico das mensagens que foram checadas de cada influenciador que ela estará fiscalizando. Com o tempo e histórico de dados, a Vera conseguirá rankear estes influenciadores criando um indicador de Veracidade para cada um deles. Aliás, se você queria saber qual foi a inspiração para o nome, aí está.
Através do site os usuários poderão consultar informações estatísticas dos influenciadores. Poderá encontrar bons influenciadores sobre política, saúde, economia e etc. Claro, poderá também saber quem são os influenciadores ruins.
No site, os usuários também poderão se cadastrar para ajudar no combate a FakeNews. Poderão não só sugerir influenciadores e ajudar na checagem das informações falsas, mas também ajudar com os métodos de varreduras, mineração de texto, IA, entre outros métodos utilizados pela Vera para fazer tudo isso funcionar.
Equipe HackCovid à Vera
Nossa equipe é composta por alunos de pós-graduação. Nosso conhecimento reúne as áreas de computação, matemática, física e administração e atualmente atuamos em projetos voltados para ciência de dados.
Claudio Barros
Haron Fanticelli
Henrique Mello
Maria Luiza Mondelli
Nathália Barbosa
Victor Dornellas
Built With
adobe-illustrator
neo4j
photoshop
premiere
python
Try it out
github.com | Hackcovid à Vera | Se a Vera falou é Verdade! | ['Haron Calegari Fanticelli', 'victor ribeiro', 'Nathália Barbosa Santos', 'Claudio Daniel Tenório de Barros', 'Henrique Mello', 'Maria Luiza (Malu) Mondelli'] | ['Prêmio #cientistaspelavida'] | ['adobe-illustrator', 'neo4j', 'photoshop', 'premiere', 'python'] | 1 |
9,914 | https://devpost.com/software/dra-june-1el0uh | Dra June Almeida
diagrama de construção
ícone
desafios relacionados
Inspiration
Nossa inspiração inicial foi criar uma ferramenta que seja um meio de comunicação de linguagem fácil, acessível, inclusivo e popular, que pudesse atingir o maior número de pessoas, independente de nível de formação, classe social, idade, limitação de digitação, etc.
Pensamos em uma solução de simples interface que ajude os grupos mais vulneráveis e possa também auxiliar a vigilância em saúde na tomada de decisão acerca dos eventos da pandemia de COVID-19.
Quem é a Dra June?
A inspiração do nome do chatbot:
June Almeida (1930-2007) foi a cientista que identificou o primeiro coronavírus humano (B814) em 1964.
Apesar do sobrenome aportuguesado, a Dra June era escocesa e trabalhava como virologista na Escola de Medicina do Hospital St. Thomas. Como em várias outras histórias de mulheres cientistas, sua descoberta não foi valorizada imediatamente. Dra June enviou o artigo de sua descoberta para uma revista científica que recusou a publicação, argumentando que as provas enviadas eram apenas imagens de baixa qualidade de partículas do vírus da gripe. Somente em 1965, o British Medical Journal divulgou a façanha e, dois anos depois, o Journal of General Virology publicou as fotografias. Hoje esse artigo pode ser lido gratuitamente na internet.
A descoberta da Dra June foi e é fundamental no combate à pandemia da COVID-19, pois os cientistas ainda utilizam suas técnicas descritas no artigo. Para reconhecer e divulgar sua grande contribuição, resolvemos homenageá-la dando seu nome ao nosso projeto.
What it does
O Dra June permite ao usuário interagir com um bot programado para atendimento primário em pessoas que estejam com sintomas da COVID-19 e que precisam de orientação primária, evitando assim a superlotação na rede pública de atendimento em saúde e hospitais de referência para atendimento em COVID-19.
Ele dá orientações de cuidados básicos domiciliares para casos que considere leves e indica o posto de saúde ou rede hospitalar de referência mais próxima aos casos que considere necessidade de atendimento médico imediato.
Diferenciais do Dra June em relação aos demais chatbots para atendimento primário em COVID-19:
Proporciona a inclusão social!
O Dra June é acessado via link que leva ao WhatsApp e então inicia o diálogo por digitação ou por voz, o que desobriga o usuário a ter que instalar um app em seu celular e consumir mais dados do seu plano de internet, já que muitas operadoras já disponibilizam tráfego livre para esse aplicativo.
A dificuldade no acesso à internet e a um celular que possua hardware suficiente para baixar novos apps é uma realidade para muitos brasileiros que vivem situações vulneráveis. O WhatsApp é a rede social mais popular dentre todas as classes sociais. Também pensamos nos deficientes visuais, idosos e pessoas com problemas motores. Eles podem ter acesso ao atendimento, sem problemas, falando com a Dra June.
Sinaliza as lideranças comunitárias e órgãos de saúde pública sobre novos focos da COVID-19
As informações sobre sinais clínicos da COVID-19 das pessoas que utilizam o Dra June são armazenadas, avaliadas por IA e direcionadas às lideranças comunitárias da região e aos órgãos de vigilância responsáveis a partir de 10 casos identificados como possíveis casos de COVID-19. Esta funcionalidade permite melhor alocação de recursos, tomada de decisões e ações preventivas em tempo hábil, antes que ocorra um número maior de pessoas suspeitas na região.
How I built it
Dra June utiliza Dialogflow para geração do chatbot integrado com o Firestore para persistência dos dados e Firebase Storage. Desenvolvimento do app com React Native integrado ao Dialogflow (ver diagrama da construção em anexo)
Futuramente:
Desenvolvimento de aplicação web em Python para disponibilização de previsões a partir dos dados coletados pelo chatbot tratados por algoritmos de Machine Learning.
Challenges I ran into
As dificuldades encontradas para apresentar o protótipo foi linkar o chatbot ao WhatsApp, pois solicitamos permissão ao app para integração via conta, porém a solicitação não foi respondida a tempo de finalizar o protótipo.
Também não houve tempo hábil para implantar o algoritmo e aprendizagem de máquina com os dados coletados pelo bot.
Accomplishments that I'm proud of
Nos orgulhamos em participar de uma equipe com skills distintos e tão afinada, focada em desenvolver uma solução para amenizar os problemas de controle da contaminação e atendimento de saúde da COVID-19, onde cada um pode auxiliar para o desenvolvimento de um produto que trará uma contribuição social neste momento de pandemia.
What I learned
Aprendemos que uma equipe multidisciplinar possibilita o desenvolvimento de produtos melhores e mais adequados à demanda da sociedade. E aprendemos que um produto só é verdadeiramente útil se não excluir ninguém.
What's next for Dra June
Incluir a geolocalização por meio da integração com o software do usuário;
Desenvolver a funcionalidade de alerta às lideranças comunitárias da Região e aos órgãos de vigilância em saúde;
Fazer a versão para IOS;
Realizar campanha publicitária para divulgação ampla.
Built With
app
dialogflow
firebase
firestore
react-native
Try it out
github.com
bot.dialogflow.com | Dra June | Chatbot + simples + inclusivo de atendimento primário em COVID-19. Use voz ou digite. Acesse via link para o WhatsApp. Sinaliza novos focos às lideranças comunitárias e à vigilância em saúde. | ['Klena Sarges', 'Renata Frota', 'Igor Castro', 'Fábio Daudt'] | ['Prêmio #cientistaspelavida'] | ['app', 'dialogflow', 'firebase', 'firestore', 'react-native'] | 2 |
9,914 | https://devpost.com/software/coviseg-segmentacao-de-imagens-de-tc-para-casos-de-covid19 | Logo do projeto
Resultado da rede para uma das imagens
COVISEG
Inspiração
Com o crescimento dos casos de contaminação por COVID19 pelo mundo, formas diferentes de detectar o vírus estão surgindo. Um dessas formas é a Tomografia Computadorizada (TC) na região do pneumotórax. A técnica já é bastante conhecida pelo mundo, porém alguns desses exames feitos em pacientes com COVID19 apresentaram alguns achados importantes, tais como: (i) opacidades em vidro fosco; (ii) consolidação pulmonar; (iii) efusão pleural. Mesmo sendo os principais achados, muitas das vezes se tornam difíceis de detectar devido a sensibilidade do equipamento utilizado.
Nos últimos anos, temos visto uma revolução do uso de Inteligência artificial na medicina, com aplicações em diagnóstico, descobrimento de remédios, dentre outros. Portanto,nos pareceu natural aplicar métodos de inteligência artificial para podermos segmentar as áreas de interesse para os profissionais de saúde possam avaliar com maior detalhe.
O que faz?
Nosso software segmenta imagens de TC para ajudar a perceber situações clínicas como derrame pleural, opacificação e consolidação em vidro fosco.
Como construímos?
Construímos uma rede neural na arquitetura UNET que faz a segmentação de TCs a partir das imagens fornecidas pelo
MedSeg
.
Desafios que encontramos
Foi nossa primeira vez trabalhando com imagens do tipo fornecido pelo
MedSeg
. Isso dificultou a parte inicial de visualização de dados.
Além disso, foi a primeira vez tratando com o problema de segmentação de imagens, portanto foi necessário buscar na literatura tipos de arquitetura para essa tarefa. No entanto, conseguimos apenas aplicar a arquitetura UNET.
Conquistas que estamos orgulhosos
Aprendemos a utilizar a UNET para segmentação de imagens médicas. Aprendemos a sintetizar a nossa ideia em um pitch. Conseguimos desenvolver um projeto robusto (TRL 4) em apenas três dias, pois toda a iniciativa começou a partir do Hackcovid19.
O que aprendemos?
Aprendemos a trabalhar em equipe e delegar tarefas razoáveis para cada participante.
Além disso, aprendemos a segmentar imagens de Tomografia Computadorizada utilizando Deep Learning. E também como o processo de TC influencia no diagnóstico e tratamento da COVID19. Com isso, tivemos contato com uma área da medicina nunca explorada por nós antes.
Aprendemos também sobre como empreender e fazer parcerias para que podemos aplicar o nosso conhecimento no mundo.
O que vem a seguir COVISEG - Segmentação de imagens de TC para casos de COVID19
Podemos aprimorar a rede já construída utilizando novos dados segmentados que podem ser obtidos através do sistema único de saúde (SUS).
Também buscamos testar arquiteturas que necessitam de menos dados para obter a segmentação, podendo melhorar a precisão do nosso software.
Além disso, a rede possui potencial de ser aplicada para outros exames de imagem, como mamografia e ultrassom. Podendo impactar mais áreas do que apenas o COVID19. Para isso seria necessário colaboração com instituições de P&D, como a FIOCRUZ, e investimento em maior poder computacional.
Built With
keras
matplotlib
numpy
python
tensorflow
Try it out
github.com | COVISEG - Segmentação de imagens de TC para casos de COVID19 | Utilizar a tecnologia de Inteligência Artificial para ajudar no diagnóstico de pacientes com COVID19 através da segmentação de Tomografias computadorizadas. | ['Nahum Rosa Cruz Sa', 'Gabriel Teixeira'] | ['Prêmio #cientistaspelavida-computação'] | ['keras', 'matplotlib', 'numpy', 'python', 'tensorflow'] | 3 |
9,914 | https://devpost.com/software/campanha-alerta-coronavirus | Pitch_Alerta_Coronavirus_1
Pitch_Alerta_Coronavirus_2
Pitch_Alerta_Coronavirus_3
Pitch_Alerta_Coronavirus_4
Pitch_Alerta_Coronavirus_5
Pitch_Alerta_Coronavirus_6
Pitch_Alerta_Coronavirus_7
Pitch_Alerta_Coronavirus_8
Pitch_Alerta_Coronavirus_9
Pitch_Alerta_Coronavirus_10
Pitch_Alerta_Coronavirus_11
Pitch_Alerta_Coronavirus_12
Inspiration
o trabalho de agentes comunitários de saúde em nível de postos de saúde locais espalhados pelos territórios sanitários por todos Estados e Municípios da União
What it does
apoia o Ministério da Saúde a coordenar comunicação, identificação, mapeamento e monitoramento de pessoas que já estão ou que poderão ser afetadas devido ao contato com o novo coronavírus em nível local, com gestão de dados pessoais sensíveis pelos agentes comunitários de saúde dos postos de saúde locais dentro de cada território sanitário por todos Estados e Municípios da União que são os responsáveis pela coleta, armazenamento, gerenciamento, monitoramento, atualização e confidencialidade destes dados e envio apenas de dados agregados para o serviço de vigilância sanitária (epidemiológica) do Ministério da Saúde do Brasil
How we built it
web shiny app
Challenges we ran into
conexão com tecnologia SMS
Accomplishments that we're proud of
solução "app-free" que garante sustentabilidade e equidade no acesso aos postos de saúde locais
What we learned
ativar a equipe rapidamente para trabalhar com mais efetividade (como deve ser dificuldade técnica minha [Sharmila] que sou a pessoa que tem menor capacidade técnica na equipe para estas atividades, vão o que seriam 6 slides (capa, apresentação, contexto, fluxograma, público-alvo e equipe) extendidos em 12 para dar conta dos 5 minutos que usei para apresentar esse texto no vídeo que não sobe, infelizmente)
https://fcfilho.shinyapps.io/alertacoronavirus/
(outro link para o demo, caso o outro caia/esteja indisponível)
What's next for Campanha "Alerta Coronavírus"
apresentar este modelo para o Secretário de Vigilância em Saúde do Ministério da Saúde do Brasil para pactuar a coordenação das ações estabelecidas nesta Campanha "Alerta Coronavírus" com todos os gestores e agentes comunitários de saúde dos postos de saúde e sua implementação em cada território sanitário por todos Estados e Municípios da União
Try it out
luccaramalho.shinyapps.io | Campanha "Alerta Coronavírus" | Aplicação web para o Ministério da Saúde coordenar comunicação, identificação, mapeamento e monitoramento de cidadãos que estão ou poderão ser afetados pelo contato com o novo coronavírus localmente. | ['Sharmila Sousa', 'Fernando C. Filho', 'marcelo-jesus1977', 'Alylson Monteiro', 'Lucca Ramalho'] | [] | [] | 4 |
9,914 | https://devpost.com/software/airsave | Diagrama geral AirSave
Grafico historico Sensores AirSave com Atuadores
Lista de Sensores AirSave - Eugenio
Mapa dos respiradores AirSave
Um grupo multidisciplinar formado para ajudar no combate à pandemia do Coronavírus com a criação de equipamentos de saúde, o AirSave BR.E-TECH®, desenvolveu o projeto de um respirador emergencial para recuperação de pacientes da COVID-19 de uso doméstico e de transporte que pode ser monitorado e operador por médicos à distância.
Eu sou Rodrigo Dias Arnaut, Engenheiro da Computação e mestre em Ciências pela Poli/USP em Inteligência Artificial. Estou atuando na gestão executiva do projeto AirSave em especial no módulo de Telemetria (Controle e Monitoramento) e na Comunicação.
Inspiração no colapso do sistema de saúde na Itália, onde pessoas eram abandonadas nas ruas por lotação dos leitos com respiradores
Além de corte de pacientes idosos acima de 80 anos não eram mais admitidos nos hospitais
Superlotação dos hospitais
Falta de oxigênio para pacientes
Respiradores não operam em residências
A legislação anterior não autorizava a telemedicina
App AirSave é uma solução de telemedicina pioneira e inovadora de aplicações para telemetria inteligente do respirador AirSave (equipamentos com patente pública e aberta com diversas inovações) com as seguintes funções:
Análise de curvas de tendências com aprendizado de máquina e inferências;
Monitoramento de sensores do paciente, ambiente e do respirador;
Controle dos atuadores para ajustes do equipamento (ventilador);
Programação da automação de funcionamento (pulmão eletrônico);
Relatórios para estudo do paciente e auditoria.
Respirador Inteligente e eficaz, para a pandemia devastadora Covid19, atuando emergêncialmente em situações de colapso da rede hospitalar
Respirador inteligente, autogerador de oxigênio, integrado a filtros UV-C, monitoramento, controle remoto e automação com inteligência artificial, com recursos que permitam transporte independente, sistemas de alarmes e softwares adaptados exclusivamente a Covid19
A solução de Inteligência Artificial, carinhosamente chamamos de Charles (homenagem ao nosso coordenador do AirSave), é capaz de disponibilizar seus dados históricos em nuvem, como no protótipo construído durante o HACKCOVID19, com apoio da ferramenta EUGENIO, fazendo inferências e interpolação através do aprendizado de maquina, com envio ao servidor e retorno com “curvas de tendências” ao AirSave do resultado com as tendências para os próximos 5 minutos utilizando diversas combinações dos parâmetros monitorados , apresentando cenários com 30% , 50% e 80% de probabilidades de acontecerem
Criação de curvas de tendências para aquele paciente , baseadas no aprendizado de maquina e inferências , oriundas da telemetria , cruzando com a mediana ( do machine learning ( de todas as outras maquinas. Imagine que uma maquina pergunta p outra: o que acontece com essa situação que eu tenho aqui ? ja aconteceu com vc ? ai a maquina que ja passou por aquele estado responde ...
curvas de tendências podem também utilizar uma fonte estatistica , cabem muitos relatórios , geram estatísticas de uso , e assim por diante ,,, acho que esse pode ser um bom caminho. Por isso uma API Node.Js eh uma base para construir muita coisa ...
Patente inovadora 30/03 (Filtro UVC, Autogerador O2, Telemedicina)
BR 20 2020 006335 4 , 35 inventores, patente pública e aberta
Devido a mudança de cultura pelo COVID19 e olhando a longo prazo os problemas das novas doenças respiratórias, mudou o tipo de demanda de respiradores, não mais exclusivos a hospitais, assim como desfibriladores, os respiradores podem estar presentes nos locais de grande concentração de públicos, como condomínios, grandes hotéis, residências e transporte por ambulâncias (Vans, Helicópteros e Aviões)
Respirador Inteligente, Telemedicina com Inteligência Artificial
Público-alvo do App AirSave:
Médicos
Enfermeiros
Familiares
Gestores de Saúde
Cada um com seu perfil de acesso, seguindo rígidas restrições de autorização para monitoramento dos sensores, além de permissões rigorosas para como o perfil irá poder atuar nos controladores dos atuadores do respirador AirSave
Além de toda a inovação no respirador AirSave, com esterilização do ar que entra e que sai do paciente, da geração autônoma de oxigênio, baterias e de toda operação inteligente do equipamento, o App AirSave terá:
Algoritmos de IA “Charles”, com Machine Learning comparando dados e apreendendo com todos os respiradores da rede, do histórico passado e atual, permitindo tomadas de decisões mais precisas e ágeis integradas com o trabalho da equipe médica;
Temos um diferencial na aplicação AirSave que é a construção em Node.js que permitirá utilizar uma API para qualquer interface, seja web em PC ou MAC, smartphones ou tablets, em Android ou iOS.
A aplicação também irá ser conectada a servidores em nuvem com tecnologia e segurança alinhada com as regulamentações e legislação da LGPD, utilizando protocolos de comunicação criptografados e tecnologia de blockchain para validação dos diversos AirSaves na rede
Foi muito interessante participar do Hackton HACKCOVID19, onde pudemos evoluir os conceitos inovadores do respirador AirSave, para que o App AirSave pudesse ter uma estrtura de desenvolvimento alinhada com todo o propósito do grupo. Conhecemos dezenas de participantes nestas 72 horas, e muitos deles ja se tornam parceiros do nosso projeto.
Built With
arduino
eugenio
Try it out
drive.google.com | App AirSave | App AirSave - Solução de Inteligência Artificial para telemetria e telemedicina do respirador AirSave | ['rdarnaut'] | [] | ['arduino', 'eugenio'] | 5 |
9,914 | https://devpost.com/software/d064criar-plataforma-p-educacao-tecnologia-ciencia-e-arte | #d064CRIAR plataforma p/ EDUCAÇÃO: tecnologia-ciência e arte
=== Apresentação 01 ===
Resumo:
É um marketplace de financiamento coletivo para a produção de material didático a ser utilizado no ensino de crianças e adolescentes.
O formato do material será didático, inovador e levará experiências diferenciadas para que professores e pais no ensino à distância criem uma identificação maior através dos materiais diferenciados.
=== Importância para o mercado ===
Problema atual:
Alunos: Desinteresse nos materiais didáticos não adaptados para educação à distância.
Professores: Dificuldade encontrar materiais didáticos que gerem interesse/identificação dos alunos.
Artistas: Dificuldade de atingir larga escala de pessoas XXXXXXXXXXX
Pais: Os pais estão com dificuldades de administrar os conteúdos que estão sendo passados nas aulas remotas
=== Diferencial: Ativo social do projeto ===
Viabilizar a utilização de novos materiais didáticos na edução de forma gratuita e dentro dos padrões do MEC com os projetos financiados através da plataforma.
Ou seja: após um projeto ser financiado e produzido, ele ficará disponibilizado gratuitamente.
=== Como resolver o problema atual ===
Inscreva seu projeto educativo
Um consultor fará a modelagem para viabilização do projeto
Enquadramento nas especificações do MEC
Profissionais: Professores e artistas que produzirão os conteúdos de acordo com os padrões curriculares do MEC
Eles também darão "Match" em projetos de acordo com as suas habilidades
Vantagem competitiva: envolvimento do profissional auxiliando na divulgação/captação de recursos para o projeto
Consumidores: Alunos/professores/pais
Entrarão para acessar/baixar os conteúdos
=== Como construir e viabilizar a plataforma ===
Desenvolver plataforma
Divulgação para ativar pontas utilizadoras (professores/alunos/pais/artistas)
Parcerias pontuais (instituições de ensino e artes / companhias / empresas artísticas)
Assessoria de imprensa
Marketing Digital
=== Tecnologias ===
WordPress
Plugins:
Perfis de usuários (Artistas / Alunos / Professores)
E-commerce: WooCommerce
Financiamento coletivo
Gateway de Pagamento (pagar.me/pagseguro)
Cache
Programação de Custom Fields
=== Exemplos de projetos ===
Jogos educativos
Colocar uns 5 exemplos diversos e chamativos
Listar projetos XXXXXXXX
=== Modelo de Rentabilização ===
Porcentagem de lucro dos projetos
Curadoria (serviços a la carte)
Criação de vídeos para o projeto ser divulgado nas redes sociais
Ajuda na definição de metas interessantes para os apoiadores
Impulsionamento com estratégias e acompanhamento de Agência de Marketing Digital
Vender ou construir em conjunto este sub-modelo de negócios para plataformas pré-existentes
=== Próximos passos: Captação de investimento ===
Captação de investimento
Escolas infantis
Grupos de educação
Editais
Buscar empresas patrocinadoras
Venda de projetos especiais financiados por Municipios e outras esferas do governo
Depois que for ao ar
Incorporar novas funcionalidades do portal cultural
Projetos pautados em Acessibilidade
Surdos
Cegos
Modelo de entrega
Recomendação de distribuição logística de materiais (em casos necessários)
Responsabilidade dos produtores
Financiamento mensal por empresas
=== Por que não usar os sistemas pré-existentes (ex: catarse) ===
=== Finalização ===
Minha equipe XPTO desenvolveu uma solução de
ranqueamento de risco para phishing
para auxiliar usuários à identificar emails perigosos
com um modelo que utiliza tecnologia XPTO de alta acuracidade.
---------------- BANCO DE IDEIAS DO OUTRO PROJETO ----------------
Produção de material pedagógico dentro dos padrões do MEC
Financiamento coletivo para material pedagógico
=== Hashtags ===
Economia solidária
Financiamento coletivo
Educação
Ajuda social
=== Apresentação 01 ===
Resumo:
É um marketplace para que projetos culturais proporcionem a vivência e desdobramentos de espetáculos através do online.
=== Apresentação 02 ===
Minha equipe XPTO desenvolveu uma solução de
ranqueamento de risco para phishing
para auxiliar usuários à identificar emails perigosos
com um modelo que utiliza tecnologia XPTO de alta acuracidade.
=== Produtos/serviços ===
Pós-peça online
Adultos
Ex:
Baixar trilha sonora do espetáculo
Assistir vídeos relacionados
Interatividade com crianças
Ex:
Jogos educativos com personagens da peça
Atividades como acordar e cumprir metas de escovar dentes, dar bom dia pras pessoas e tomar sol
Compra de experiências
E-books
Contação de histórias online e ao vivo (ou não)
Oficinas para profissionais ou não
Recolher | #d064CRIAR plataforma p/ EDUCAÇÃO: tecnologia-ciência e arte | https://docs.google.com/presentation/d/11a9dTnoAYmarX9HaveJYJ2NJ70yZwsmtKd8-01Gclu0/edit?usp=sharing | ['Filipe Schroeder', 'Carolina Garcia Marques'] | [] | [] | 6 |
9,914 | https://devpost.com/software/teatro-da-saude | Compartilhe: emocione, aprenda, ensine, inspire, VIVA!
Cola na Praça!
Ambiente de trocas de experiências, cursos online, apresentações artísticas virtuais e histórias na área de saúde.
Muitas historias estão acontecendo a todo momento no Brasil na área de saúde, ricas, emocionais, inspiradoras ... mas com as bolhas e limitações das redes sociais atuais, essas histórias são perdidas com o tempo.
Ao mesmo tempo nesse momento onde o isolamento e sofrimento pelas perdas vão aumentar os problemas de saúde mental em nossa população para ajudar a reduzir isso vamos usar as ferramentas de nossa plataforma e estratégias para incentivas o registro e compartilhamento de atividades e eventos culturais online ...
What it does
Uma plataforma 100% focada em ajudar pessoas a terem uma vida mental saudável, alem de promover o bem estar, a colaboração e a troca de experiencias.O sistema irá criar um ambiente virtual de trocas de histórias, apresentações artísticas e a possibilidade de artistas divulgarem seus cursos através da plataforma.
E iremos oferecer todo suporte e incentivos para registro dos conteúdos e atividades online ...
How we built it
Buscamos a inspiração nos conceitos de economia colaborativa, objetivando o bem comum e a qualidade de vida!
Challenges we ran into
Trabalhar com uma equipe multidisciplinar pode ser um desafio! Online ainda, o desafio dobra!
Accomplishments that we're proud of
Conseguimos, em poucas horas de trabalho, criar uma maneira de usar a cultura como forma de colaborar com a saúde mental da população que esta em casa e, principalmente da população que está no front, lutando diariamente com o Covid-19. Possibilitamos também, um meio dos artistas aplicarem seus cursos de forma online, facilitando o uso da plataforma.
Esta mais do que claro que todos nós estamos inevitavelmente conectado e buscar inspiração por intermédio da cultura é o caminho da evolução.
What we learned
Com colaboração, empatia e cultura podemos fazer qualquer coisa!
What's next for Cola na Praça
O site foi criado durante o COVID-19, mas entendemos que a saúde mental deve ser tratada sempre!
Todos nós podemos ajudar:
Não estigmatizando;
Apoiando;
Reabilitando;
Integrando!
Também entendemos que a cultura é um dos melhores caminho para aliviar qualquer dos efeitos que podem afetar a saúde mental.
Entendemos, também, que aqueles que usam de uma (ou mais) das 11 manifestações de artes como seu sustento, deve ter um lugar especial para divulgá-las e também comercializar seus cursos!
Portanto, o site continuara ativo e, por ser colaborativo, em seu coração carregara contos e historias de vidas que merecem ser contadas!
Built With
html5
node.js
we.js
Try it out
github.com
colanapraca.linkysystems.com
www.instagram.com
abre.ai | Cola na Praça | Um espaço para encontros: De quem precisa de entretenimento para manter a saúde, com quem produz arte que salva. De quem quer aprender, com quem quer compartilhar, inspirar e viver! | ['Olívia Fernandes Boretti', 'Ilan Chamovitz', 'Alberto Souza', 'Thaís Vinhas', 'caco-xavier'] | [] | ['html5', 'node.js', 'we.js'] | 7 |
9,914 | https://devpost.com/software/conectavid | O nosso desafio é o d131. Discutimos bastante sobre como fazer a plataforma e percebemos que a melhor maneira seria web.
Nossa proposta é conectar numa mesma plataforma: produção em universidades, demanda de hospitais e investimentos de empresas.
Começamos a validar o produto usando um formulário google, disponível em:
https://forms.gle/8TxG85vLrY38E47f7
Desenhamos a ideia do site no Figma:
https://www.figma.com/proto/ay7RftG9ziq67CUvfDWpz1/Untitled?node-id=1%3A2&scaling=scale-down
Construímos nossa plataforma. Nosso site encontra-se disponível em:
https://conectavid.herokuapp.com/
Repositório no Github:
https://github.com/wesleymog/hackcovid19
Fizemos o Picth Dek:
https://drive.google.com/open?id=1nEy0pBsaS4iNbg4niZXt4hE0h8G3cRNM
Por fim, fizemos o Picth:
https://www.youtube.com/watch?v=x7T6Vg4Ekes&feature=youtu.be
Built With
design
javascript
lavavel
php
plataforma
responsivo
web
Try it out
conectavid.herokuapp.com | ConectaVID | Plataforma que conecta demanda de hospitais, produção em universidades e investimentos de empresas. | ['Wesley Mota de Oliveira Gomes', 'Roberta Dárlla', 'Karla Susiane dos Santos Pereira', 'Quezia Dias', 'Marcela Jimenez', 'Lucas Rosa'] | [] | ['design', 'javascript', 'lavavel', 'php', 'plataforma', 'responsivo', 'web'] | 8 |
9,914 | https://devpost.com/software/aplicativo-de-gestao-de-filas-com-localizacao | Inspiration
Desafio #038 da Hackcovid19: "FILAS NOS BANCOS"
"Resolver o problema das filas em frente aos bancos para retirada do pagamento do auxílio emergencial. Este problema está constante e é uma realidade em todos os jornais, em todos os bairros, em todas as cidades e até nas capitais. Tem pessoas dormindo nas portas dos bancos, ou chegando de madrugada para conseguir pegar uma senha e ser atendido. As imagens são muito tristes ver várias pessoas carentes nas filas enormes passando fome e necessidades.
Como não temos um prazo para acabar a pandemia então essa situação vai se repetir por vários dias e meses." (Juanice Helena de Andrade - ativadora do desafio)
Prototipação das telas:
https://www.figma.com/file/hFRrTTmbLRVeiH3pPXqFZG/AplicativoSemFila?node-id=0%3A1
https://www.figma.com/proto/hFRrTTmbLRVeiH3pPXqFZG/AplicativoSemFila?node-id=0%3A1
What it does
1) Agenda o atendimento do usuário a um serviço pré-cadastrado pelo servidor (por exemplo: um banco, uma clínica) de forma automática com base no histórico da demanda e atendimento ao longo do tempo (meses, semanas, dias, horas...). Ao mesmo tempo, utiliza a localização em tempo real, nas proximidades de tempo e espaço em relação ao local e momento de realização dos serviços, para dar suporte a mitigação das aglomerações através do uso de uma fila aqui chamada de "dinâmica". Essa fila permite que a desistência (antecipada) ou ausência (na hora do atendimento) de um usuário permita que os usuários seguintes da fila sejam beneficiados a saber: os usuários seguintes recebem a informação de que houve diminuição do total à sua frente e têm a oportunidade de antecipar seu atendimento, operando o aplicativo confirmando (que usará sua localização na proposição de uma recomendação) após notificação, ou manter-se no mesmo horário, não fazendo nada.
2) Monta modelos de simulação ou as Fórmulas de Little para filas estáveis (ou até mesmo modelos de filas de um estágio) com base nos dados de entrada e, em tempo real, gerencia as entradas e saídas da fila e aponta situações que indiquem possibilidade de mudança na quantidade de recursos (previsão de aumento ou diminuição de atendentes, por exemplo). Esses dados avaliados segundo a Teoria de Filas e também por Simulações Periódicas pode dar suporte à tomada de decisão praticamente em tempo real para cada fração de tempo escolhida (1 hora, 1 dia, 1 mês... etc.).
How I built it
O projeto foi desenvolvido utilizando a plataforma Figma, que permitiu a interação em tempo real dos membros da equipe na prototipação, tão quanto a aproximação dos mesmos em prol do desenvolvimento do protótipo final. Para a aplicação móvel/web, utilizou-se React Native/React como método de desenvolvimento híbrido, a qual permite a geração de apps iOS, Android e Web de forma facilitada, utilizando apenas um código base. Para a parte de ciência de dados, desenvolvimento dos algoritmos de fila, utilizou-se Python.
Challenges I ran into
Dada a pandemia do novo coronavírus, teve-se como maior objetivo encontrar maneiras de evitar a propagação do vírus de forma sistêmica. Visto isso, elaborou-se uma aplicação que é capaz de controlar e evitar o acumulo de pessoas em filas, principalmente filas bancárias geradas em decorrência do novo auxílio governamental(filas quilométricas na maioria das vezes, nas quais, poucas medidas de segurança são tomadas).
Accomplishments that I'm proud of
Elaborar uma ideia que auxilia no diminuição da propagação do novo coronavírus através de uma aplicação que permite a entrada/aguardo de filas à distância.
What I learned
Aprendemos sobre métodos de organização de filas, além de buscar melhores performances para auxilio de gestores de bancos e lotéricas. Baseando na teoria das filas e em filas dinâmicas, podemos por os conceitos de teorias em prática.
What's next for Aplicativo de Gestão de Filas com Localização
Implementar os modelos de simulação para o módulo de gestão dos recursos.
Built With
canva
css3
figma
html5
php
react-native
Try it out
github.com
www.canva.com
drive.google.com | EasyFila: Aplicativo de Gestão de Filas Durante Uma Pandemia | Um aplicativo de celular que utilize a localização do usuário e Teoria das Filas/Simulação para gerenciar filas de pessoas e mitigar aglomerações. | ['werner soares', 'Jesus Felipe Candian Silva', 'Thiago Azevedo da Mota', 'Luiza Rosa de Moura', 'Davidson Souza'] | [] | ['canva', 'css3', 'figma', 'html5', 'php', 'react-native'] | 9 |
9,914 | https://devpost.com/software/retomar-sistema-para-auxiliar-a-reabetura-do-comercio | Sistema para auxiliar a Reabertura dos Estabelecimentos Comerciais
O RETOMAR foi inspirado na realidade que centenas de comerciantes brasileiros estão enfrentando e irão enfrentar com os efeitos na economia causado pelo Covid-19. O RETOMAR é um sistema que auxilia a criação de horários automaticamente referente ao funcionamento dos estabelecimentos comerciais que poderá ser visualizado pelos comerciantes e pela comunidade.
O desenvolvimento do sistema RETOMAR foi dividido em quatro etapas: (i) aquisição dos dados de entrada; (ii) pré-processamento das entradas; (iii) geração do escalonamento de horários; e (iv) visualização dos horários produzidos. A primeira etapa (aquisição dos dados) consistiu na coleta de informações, por meio da API do Google maps, sobre os estabelecimentos comerciais de diferentes categorias para um bairro de uma determinada cidade.
A segunda etapa (pré-processamento das entradas) consiste no cálculo das distâncias por meio das latitudes e longitudes retornadas por meio da API do Google maps e na categorização dos estabelecimentos.
Na terceira etapa ( geração do escalonamento de horários) foi desenvolvido um algoritmo inteligente chamado Algoritmo Genético guiado por uma função matemática que avalia a qualidade das soluções produzidas visando a maximização do número de estabelecimentos abertos e a minimização das chances de aglomerações.
Por fim, na última etapa (visualização dos horários produzidos) está sendo desenvolvido um sistema web que permite aos comerciantes e à comunidade a interação e a visualização dos horários e dos dias gerados referente ao funcionamento dos estabelecimentos comerciais.
Os principais desafios identificados ao longo do desenvolvimento do sistema RETOMAR foram:
Obtenção dos dados entrada;
Criação de um modelo de escalonamento de horários que maximize o número de estabelecimentos abertos respeitando as restrições de distância, de estabelecimentos essenciais e que um mesmo negócio não fique fechado durante muito tempo.
Apesar dos desafios identificados, é importante ressaltar que é possível criar um escalonamento de horários com resultados satisfatórios considerando até 200 estabelecimentos por processamento
Com os resultados alcançados até o momento, é notável que criar um escalonamento de horários sem que prejudique nenhum comerciante, ou seja, que maximize o número de estabelecimentos abertos vai se tornando cada vez mais complexo uma vez que o número de estabelecimentos comerciais vai crescendo.
Para melhorias no sistema RETOMAR espera-se incluir estabelecimentos comerciais que não foram identificados pela API do google maps; melhoria no desempenho de execução; e uma função matemática que identifique um equilíbrio entre as restrições estabelecidas.
Built With
adobexd
bootstrap
deap
javascript
python
Try it out
github.com | RETOMAR - Sistema para auxiliar a Reabetura dos Comércios | O RETOMAR é um sistema de escalonamento de horários para auxiliar o governo quanto a reabertura dos comércios no fim do isolamento social ou quando uma flexibilização da quarentena for iniciada. | ['Francisco Carlos M. Souza', 'Ricardo Balbinot', 'JailsonPanizzon Panizzon', 'Norma Helena Schneider', 'lincoln costa'] | [] | ['adobexd', 'bootstrap', 'deap', 'javascript', 'python'] | 10 |
9,914 | https://devpost.com/software/mindpoint-z3qsit | O MindPoint saiu de uma conversa com minha namorada, em um momento em que as coisas estavam difíceis entre nós.
Decidi mostrar meus pensamentos para ela e escrevi tudo em um grupo do Whatsapp, depois compartilhei as impressões para que ela entendesse o que estava acontecendo na minha cabeça, eu pudesse refletir enquanto escrevia ou adiar mais tarde.
A idéia de escrever tudo no wpp veio de um filme em que o personagem principal, interpretado por will smith, escreveu cartas por tempo ou morte e outras "entidades", como forma de terapia.
Em uma dessas mensagens enviadas a ela, pensei em um aplicativo, um lugar para focar em pensamentos, com ferramentas que me ajudariam a expressar melhor o que pensava.
A idéia é muito simples, ter um lugar para escrever pensamentos. | MindPoint | Organize seus pensamentos de forma rápida, gratuita e segura. | ['Thales Gibbon'] | [] | [] | 11 |
9,914 | https://devpost.com/software/click-covid-ferramenta-de-informacao-interativa | Inspiration
Acreditamos que cada um pode contribuir dentro de sua área para combater a pandemia e minimizar as consequências dessa situação. Diante dessa possibilidade, decidimos unir conhecimentos em matemática, programação e design para produzir algo que pudesse ajudar as pessoas a enfrentar essa nova realidade tão difícil para todos nós. Nosso objetivo é analisar os dados dos estados do Brasil à luz dos modelos epidemiológicos, veicular informações e simulações interativas sobre o coronavírus de maneira acessível e intuitiva para a população de modo geral.
What it does
Com base em um modelo compartimental mais sofisticado do que os tradicionais SIR e SIRS - a saber, o SEIRDS, que inclui um compartimento para os indivíduos em período de incubação (que é não desprezível no caso do SARS-COV-2), implementação de quarentena, uso de máscaras e distribuição de casos por idades - construímos uma ferramenta tecnológica interativa que permite ao usuário simular cenários epidêmicos diversificados, sem que este tenha que lidar diretamente com o sistema de equações diferenciais não lineares . O protótipo que desenvolvemos contém algumas informações básicas sobre o novo coronavírus e é alimentado por um banco de dados que contém informações de infectados e mortos, bem como taxa de quarentena e estimativas de taxa de subnotificação e para as cidades e estados brasileiros. É importante ressaltar, contudo, que, devido à limitação dos dados e à carga de trabalho em um curto período de tempo, não foi possível calcular a subnotificação para todos os Estados.
How we built it
O modelo epidemiológico foi baseado no trabalho acadêmico de dois de nossos hackers, Pedro Cintra e Felipe Fontinele. Segundo seus estudos, a descrição em primeiros princípios baseada nas interações fundamentais entre os indivíduos, dá origem ao chamado modelo SEIRDS no limite de grandes populações. Esse modelo considera a população dividida em compartimentos com indivíduos suscetíveis, expostos, infectados, recuperados e mortos, é um modelo que se adequa bem às particularidades do Brasil. O trabalho computacional de simular esses modelos e obter gráficos foi feito em
Python
.
Quanto ao site, este foi desenvolvido com as bibliotecas dash e plotly do
Python
e disponibilizado em web no
Heroku
, que consiste em uma plataforma de construção de sites/ aplicativos - que são acessíveis em dispositivos móveis e em computadores. O site coleta dados que são atualizados automaticamente e produz gráficos de
casos
e
mortes
para cada Estado e cada cidade. Também foi implementado um modelo interativo para o usuários simular diferentes resultados da epidemia para diferentes parâmetros aplicados.
No que diz respeito às bases de dados, fizemos um compilado de dados de diferentes plataformas, como dados coletados em boletins epidemiológicos das Secretarias de Saúde dos Estados, Portal da Transparência - Registros Civis (para os dados de subnotificação), IBGE (PNADC 2018) e do Kaggle (
https://www.kaggle.com/unanimad/corona-virus-brazil/data
).
Challenges we ran into
Produzir o projeto em si já foi um grande desafio, principalmente no que diz respeito ao curto período de tempo que tínhamos disponível para finalizar o trabalho. Foi como uma prova de resistência física e mental, mas de certa forma, muito divertida. Outro desafio foi construir um produto que fosse, ao mesmo tempo, cientificamente confiável, com dados minimamente acurados e didático e acessível para o público em geral.
Além disso, enfrentamos dificuldades para encontrar dados confiáveis e atualizados exigidos para o modelo epidemiológico e para as taxas que queríamos estudar. Contudo, com a ajuda dos mentores e com muita paciência para "garimpar" informações internet, conseguimos montar um protótipo de banco de dados para alimentar o site.
Apesar de trabalhoso, participar disso foi uma experiência ímpar e extremamente satisfatória.
Accomplishments that we're proud of
Esse desafio mostrou que o trabalho em equipe pode enfrentar os problemas mais complicados se soubermos como exaltar habilidades e nos ajudarmos nas fraquezas. Nos orgulhamos de não termos vergonha em pedir ajuda,de aprender coisas novas e de nós superarmos nas nossas capacidades.
Nos orgulhamos ainda mais de termos nos proposto a um desafio tão intenso em prol de ajudar a levar informação de forma acessível a população brasileira.
What we learned
Em três dias, aprendemos como realizar
web
scraping
(coleta de dados de sites), desenvolvimento de sites utilizando as bibliotecas dash e plotly do
Python
e a plataforma heroku, criar modelos interativos e disponibilizar de uma maneira intuitiva para o usuário.
What's next for Click Covid - Ferramenta de Informação Interativa
Os próximos passos incluem:
Criar modelos que se encaixam de acordo com os dados dos Estados ou cidade e façam previsões sobre dia do pico e número de infectados
Analisar os dados socioeconômicos que mais influem na curva epidemiológica
Conseguir os dados para estimar o futuro da pandemia no Brasil
Built With
analysis
built-with-love
dash
database
differential-equations
heroku
kaggle
mathematical-modeling
plotly
python
web-development
web-scraping
Try it out
clickcovid.herokuapp.com | Click Covid - Ferramenta de Informação Interativa | Desenvolver uma ferramenta web que auxilie a análise de dados epidemiologicos no combate à COVID-19, a partir de um site interativo que leva em consideração as particularidades do Brasil. | ['Ludmila Lima', 'PedroHPCintra Cintra', 'Igor Reis', 'Felipe Fontinele', 'João Vítor', 'Jose Luiz Vargas De Mendonca', 'João Valeriano', 'Tábata Luiza'] | [] | ['analysis', 'built-with-love', 'dash', 'database', 'differential-equations', 'heroku', 'kaggle', 'mathematical-modeling', 'plotly', 'python', 'web-development', 'web-scraping'] | 12 |
9,914 | https://devpost.com/software/indicai | Aplicativo
Histórico de atendimentos
Novo atendimento
Relatório resultante da análise
Inspiration
Criamos o IndicAI na missão de utilizar as nossas habilidades em ciências de dados para solucionar um problema que o mundo está passando. Trabalhamos previamente em outros problemas envolvendo esta área do conhecimento, assim como, já criamos tecnologias que ajudassem a salvar vidas. Então por que não nos aventurar e criar algo para ajudar a sociedade neste momento tão crítico?
What it does
O IndicAI é uma plataforma que utiliza dados clínicos e laboratoriais para criar um indicador que auxilia no diagnóstico e prognóstico de coronavírus. Com base em informações sobre o paciente, a plataforma classifica o paciente como infectado ou não-infectado. Para todo resultado emitido pelo sistema, é mostrado junto um relatório que explica como o modelo tomou esta decisão, embasando ainda mais as decisões clínicas tomadas pelo médico. Caso surja alguma dúvida, basta que ele clique no botão ao lado do gráfico, que instruções de interpretação serão mostradas.
Dentro da plataforma, o profissional de saúde ou gestor hospitalar pode acompanhar o histórico de pacientes atendidos. Mostrando estatísticas de infecção, além de ser possível confirmar um diagnóstico, tornando o modelo cada vez mais preciso.
Acompanhamos o paciente em toda a sua jornada, desde as primeiras suspeitas até a sua alta. Isso é possível através de uma auto-triagem realizada em nosso aplicativo, processamento de dados de triagem, de dados de hemograma e análise de séries temporais das informações dos pacientes internados.
How I built it
Através da análise de uma base de dados com mais de 5 mil pacientes disponibilizada pelo Hospital Israelita Albert Einstein através de uma competição da qual fomos vencedores, conseguimos criar um modelo que acerta com 95% de precisão em casos negativos a análise da presença de coronavírus através de um hemograma.
Modelamos em conversas com pessoas da linha de frente, qual seria a melhor estruturação para a plataforma, e então, a partir destes protótipos inicias e seus feedbacks, construímos a plataforma com o que há de mais avançado na tecnologia da área.
Challenges I ran into
Para construir uma solução completa, precisamos de dados suficientes para alimentar o modelo. O principal desafio encontrado no caminho, foi superar as burocracias no compartilhamento de dados sobre prontuários eletrônicos, por se tratar de dados sensíveis.
Accomplishments that I'm proud of
Estamos orgulhosos da precisão alcançada e do nível de integração apresentada pela plataforma. Além disso, ficamos muito felizes com os feedbacks de médicos, que mostraram uma grande utilidade de nossa plataforma.
What I learned
Aprendemos muito sobre a infraestrutura de saúde no Brasil, e quais são os buracos existentes. Aprendemos sobre tecnologia e controle de pandemia.
What's next for IndicAI
Os próximos passos é terminar a execução de todas as partes planejas e levar a plataforma para o maior número de hospitais possível.
Built With
css3
flask
html5
python
react
Try it out
3.22.176.142
github.com | IndicAI | Ferramenta para auxílio de diagnóstico e prognóstico de Covid-19 baseada em algoritmos inteligentes, que utiliza dados clínicos e laboratoriais para criar um indicador para embasamento médico. | ['Jairo Freitas', 'Fellipe Gomes', 'Kaike Wesley Reis', 'Rafael A. Bizão', 'Samuel Thomaz Bastos', 'Vinícius Molina Garcia', 'Milton Ossamu'] | [] | ['css3', 'flask', 'html5', 'python', 'react'] | 13 |
9,914 | https://devpost.com/software/zap-zone-c9gdl4 | Inspiration
Covid-19
What it does
Hacktoon
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for zap.zone
Built With
react
ruby-on-rails | zap.zone | rapidez para transações | [] | [] | ['react', 'ruby-on-rails'] | 14 |
9,914 | https://devpost.com/software/comunidades-seguras | Inspiration
Bom, pensamos em uma aplicação que escalasse de forma satisfatória, mantendo a privacidade dos usuários.
What it does
Trata-se de uma antropotécnica para rastrear a COVID19, mesmo em comunidades, de forma segura para os profissionais de saúde através de automação no processo de rastreamento de contatos, triagem e telemonitoramento dos sintomas desses contatos. No mesmo apresento porque usamos o GPS e como podemos dar maior significação às informações clusterizadas se elas forem Georreferenciadas, facilitando incursões por agentes/voluntários na localização para cuidados/testes nessas pessoas!
Mede o grau de proximidade dos usuários usando o Bluetooth
How we built it
Challenges we ran into
O Bluetooth não escala em comunidades! E não conseguimos lançar o app a tempo, mas seque um similar:
https://play.google.com/store/apps/details?id=edu.mit.privatekit&hl=pt_BR
Accomplishments that we're proud of
Fizemos um workarround para viajar no tempo baseado no histórico do usuário e de dados anônimos doados por acometidos com a COVID19 e acreditamos que, assim, poderemos contribuir com o legado de Oswaldo Cruz na prevenção e combate a epidemias
What we learned
Bom o desafio das comunidades é bem outro pois são lugares que não tem a mínima estrutura sanitária e que, portanto devem usar outros métodos que não os convencionais
What's next for Comunidades Seguras
Lançar oficialmente as versções beta para comunidades com o apoio da Fiocruz!
Built With
javascript
Try it out
comunidadesseguras.web.app | Comunidades Seguras | Aplicativo de automação do rastreamento de contato mantendo a privacidade dos usuários e com histórico de contatos 21 dias para trás! | ['Marcos Sena'] | [] | ['javascript'] | 15 |
9,914 | https://devpost.com/software/gafio | Tela da Login
Tela de cadastro de usuário
Tela principal (Home)
Cadastro de um novo prontuario
Prontuários cadastrados
Cadastro de medicamentos e doenças
Medicamentos cadastrados
Cadastro de um novo medicamento
Doenças cadastradas
Cadastro de uma nova doença
Gráficos de medicamentos aplicados
Dashboard Posologia
Filtro de Prontuarios
Tela de Notificações
Tela para edital perfil
Inspiration
Todos nós já precisamos de um médico pelo menos uma vez na vida e sabemos que esse profissional na maioria das vezes possui uma carga horaria de trabalho muito alta. Pensando em retribuir a ajuda que prestam à sociedade todos os dias, construímos um software que auxilie os médicos e os farmacêuticos em tarefas diárias.
What it does
Com a ausência de um controle eficiente dos antibióticos ministrados na FioCruz, unimos um desejo nosso à uma necessidade de vocês e assim criamos o GAFio, um sistema de gestão de antibióticos que auxiliará o profissional da saúde na ministração desses de maneira organizada e eficaz. Para isso, ele utiliza prontuários que mostram o histórico do paciente: se já foi hospitalizado antes, sob quais circunstâncias, quais antibióticos recebeu, como reagiu à eles, etc. Além disso, parte dele é dedicada em utilizar as informações coletadas na construção de gráficos para melhor visualizar os acontecimentos de determinado período.
How I built it
O software foi planejado utilizando a plataforma AdobeXD, a qual foi utilizada para planejar a interface do software.
Challenges I ran into
Ao longo do planejamento do projeto tivemos que estudar como funciona a estrutura do atendimento ao paciente, assim como registros de medicamentos e doenças. Como não somos da área da saúde, tivemos dificuldades para compreender com clareza o funcionamento das informações.
Accomplishments that I'm proud of
Uma frase muito famosa no cenário da computação é "O trabalho do programador é facilitar a vida das outras pessoas" e o GAFio torna esse ditado ainda mais real. Nós nos orgulhamos justamente disso, em poder facilitar o dia a dia de outros profissionais.
What I learned
Para dar vida ao projeto nós tivemos que estudar como um médico trabalha e quais eram as necessidades atuais desses profissionais. Como consequência disso, adquirimos conhecimentos sobre classificação de medicamentos, classificação de doenças, etc. Além disso para ter uma melhor organização no projeto de maneira que cada um pudesse trabalhar de sua própria residência e ainda sim manter a todos atualizados sobre seus feitos tivemos colocar em prática a metodologia ágil scrum.
What's next for GAFio
O próximo passo é a programação do software. Devido a duração do hackathon, o que já construímos foi o protótipo da aplicação. Entretanto ele não coleta e nem armazena os dados, apenas mostra como será toda a estrutura após o software estar pronto.
Built With
adobexd
trello
Try it out
xd.adobe.com | GAFio - Gestão de Antibióticos da Fiocruz | GAFio é um sistema de gestão de antibióticos que visa facilitar o dia a dia dos profissionais da saúde utilizando prontuários que mostram o histórico dos pacientes, reações a medicamentos e etc. | ['Maxley Soares da Costa', 'Gabriel Bernardi', 'Antônio Pedro', 'Aryanne Araújo', 'Bruno Sinhoroto', 'Guilherme Correa'] | [] | ['adobexd', 'trello'] | 16 |
9,914 | https://devpost.com/software/canal-do-imigrante | Canvas - Canal do Imigrante
Canal do Imigrante - Mapa Mental
Nós atuamos como interlocutores, tradutores, intérpretes para a federação, os estados e municípios e empresas privadas
O problema: O desde o ano de 2010, o Brasil passou a receber uma grande onda de entrada de imigrantes em situação de refúgio provindos de diferentes países. Segundo o Relatório Anual do Observatório das Migrações Internacionais – OBMigra 2019 publicado pelo Ministério da Justiça e Segurança Pública. Haitianos, venezuelanos e colombianos são as três principais nacionalidades que formam o grupo de imigrantes no Brasil de 2018.
Infelizmente muitos desses imigrantes têm sido alvos fáceis para pessoas más intencionadas e também são frequentemente vítimas de fakenews. Estudo recentes mostram que a falta de informação, dificuldades com o idioma e acesso à documentação são os principais obstáculos para os estrangeiros no país.
Nos dias atuais onde a informação é essencial, como podem os imigrantes terem informações corretas sobre como agir diante da pandemia. Não informá-los pode acarretar em danos não somente à comunidade em que o mesmo está inserido como também a de brasileiros. Além disso muitos direitos do governo no qual podem desfrutar porém para muitos é desconhecido.
Da infra estrutura: O Canal do Imigrante é uma plataforma online que usa canais como redes sociais e espaços públicos para divulgação de notícias. Não precisando de um escritório físico porém, a equipe deve estar muito bem alinhada por meio de ferramentas digitais para o trabalho remoto.
Da equipe: O ideal é uma equipe editorial e técnica formada por um programador, um analista de marketing e um profissional de relações públicas ou afins. São responsáveis pelo portal, gestão dos recursos arrecadados ou da receita para entregar o conteúdo. Devem oferecer treinamento para alguns imigrantes que atuarão como agentes para participarem como redatores, repórteres e etc (sabe-se que, muitos desses imigrantes exerciam estas funções em seus respectivos países). Estes podem ser remunerados ou a princípio fazerem o serviço como voluntário. Da mídia impressa: Cartazes, banners ou pequenos manuais podem ser impressos e entregues em escolas, hospitais e outros espaços públicos contribuindo com informação aos refugiados e também os funcionários que ali trabalham.
Da mídia digital: Existem grandes incentivos para propaganda gratuita para o terceiro setor como o Google Grants. Algumas empresas privadas e municípios também permitem que haja um espaço em seus canais para o mesmo. Vídeos curtos podem ser feitos para os mesmo assim como slides, imagens para postar em stories ou no feed de notícias. Fonte de renda: O Canal do Imigrante poderá desfrutar de monetização por visualizações em seu canal no YouTube, também pode atuar como influenciador para a comunidade, divulgador e intermediador de produtos e serviços provindo do trabalho de refugiados, pode ter aporte financeiro por meio público ou privado e também de doações de pessoas físicas.
Built With
php
wordpress
Try it out
canaldoimigrante.wordpress.com | Canal do Imigrante | Plataforma que ajuda imigrantes refugiados por meio de mídias impressas ou digitais acessíveis para que eles tenham informações seguras no Brasil | ['David Luz Gonçalves'] | [] | ['php', 'wordpress'] | 17 |
9,914 | https://devpost.com/software/covidcheck-w7gd23 | Versão funcionado em serviço web(Shiny)
Versão funcionado em serviço web(Shiny)
Versão funcionado em Mobile- Android
Versão funcionado em Mobile- Android
Árvore de decisão utilizada para classificar a probabilidade que o usuário irá receber pela triagem da UPA
Inspiração
A superlotação das unidades de saúde e a necessidade de um rápido atendimento diante do avanço do COVID-19 nos inspirou a desenvolver esta aplicação. Nosso objetivo é fornecer uma ferramenta que agiliza a classificação de risco dos pacientes e é capaz de indicar unidades de atendimento com base na distância e no tempo de espera estimado de acordo com o risco.
O Que Faz
O seguinte projeto utiliza dados sintéticos, criando uma base de dados contendo informações correspondentes à uma anamnese para classificar o usuário conforme o Protocolo de Manchester, utilizado nas unidades de atendimento. São catalogadas as unidades de pronto atendimento localizadas no município do Rio de Janeiro e arredores. Desta forma um modelo de aprendizado de máquina em árvore de decisão classifica o usuário dentro do Protocolo. Assim, a aplicação mobile recebe os dados fornecidos pelo usuário e retorna as Unidades de Pronto Atendimento próximas.
Como Nós Construímos
Foi construído um modelo de aprendizado de máquina em árvore de decisão onde, utilizando os dados sintéticos, foi possível realizar o treinamento e assim retornar a probabilidade do usuário ser classificado dentro das cores azul, verde, amarelo, laranja e vermelho, dando ao usuário ciência do tempo de espera. Também foram catalogadas as Unidades de Pronto Atendimento.
Para este projeto também foi criada uma aplicação em Shiny. Nesta aplicação o usuário consegue informar sua idade, comorbidades e sinais e sintomas. Através do envio dessas informações para o treinamento da árvore de decisão é retornado um gráfico de pizza com a probabilidade de cada uma das classes. A aplicação também mostra uma lista de UPAs da região com tempo de espera estimado e um mapa com a localização do usuário e unidades de atendimento.
Além disso um protótipo da aplicação foi criado em React Native utilizando a tecnologia react native onde é possível informar os dados do usuário e esta retorna a lista de upas da região com tempo de espera e um mapa de localização.
Desafios Que Nós Enfrentamos
Foi um grande desafio o contato com ferramentas das quais não tínhamos pleno domínio dispondo de um curto intervalo de tempo para sua implementação. Alguns exemplos foram: a integração com aplicação de mapas, a criação de dados sintéticos para execução do algoritmo e o desenvolvimento de uma aplicação móvel.
Do Que Nos Orgulhamos
Estamos orgulhosos de termos a oportunidade de participar de um projeto visando o bem coletivo em um momento crítico como o que vivemos. Esperamos que nossa aplicação possa contribuir de forma significativa para um atendimento mais eficiente por parte das unidades de saúde.
O Que Aprendemos
Durante a competição, aprendemos muito com os mentores com os quais tivemos contato, bem como a respeito das diferentes tecnologias de desenvolvimento que utilizamos.
Qual o Futuro do CovidCheck
Como próximos passos, temos como objetivo obter dados a respeito das lotação Unidades de Atendimento, através de integração em tempo real, bem como a implementação completa dos recursos inicialmente desenvolvidos no protótipo.
Built With
flutter
python
r
react-native
scikit-learn
shiny
shiny-mobile
Try it out
github.com | CovidCheck | CovidCheck é um aplicativo que reproduz o processo da anamnese, classificando o usuário em uma faixa de atendimento com base na UPA, encaminhando-o para a UPA que possuir o menor tempo de espera. | ['henrique silva', 'Rafael Silva Pereira', 'Raquel Gritz', 'Matheus Gritz', 'Anderson Chaves da Silva', 'Gustavo Chermout'] | [] | ['flutter', 'python', 'r', 'react-native', 'scikit-learn', 'shiny', 'shiny-mobile'] | 18 |
9,914 | https://devpost.com/software/conectafy-ulpk4i | Logo
rabiscando a solução
rabiscando a solução 2
rabiscando a solução 3
Conectafy - Uma nova experiência de venda digital.
link do nosso protótipo em alta fidelidade:
https://xd.adobe.com/view/e40e3136-135b-4d6d-7a34-8478908530c8-923f/?fullscreen
Diante a pandemia do covid19 é preciso seguir medidas sanitárias na expectativa de diminuição de contágios, dentro estas medidas o isolamento social demonstra efeitos de redução no número de mortes. Medidas estão sendo tomadas pelo poder público restringindo a abertura dos estabelecimentos comerciais para efetivação do isolamento.
Com as atividades suspensas os serviços que não são considerados essenciais sofrem uma queda brusca no fluxo de vendas e precisam se reinventar para manter a funcionalidade, lucro e até mesmo se manter.
Desde o início do surto, o varejo brasileiro já apresenta uma queda de 29% no faturamento. De acordo com pesquisa do Sebrae, o pequeno negócio do varejo tem sofrido mais, tendo registrado queda de 69% com relação a uma semana normal.
As micro e pequenas empresas são as principais geradoras de riqueza do Comércio no Brasil. Os pequenos negócios respondem por mais de um quarto do PIB.
Com a continuidade da quarentena, as pessoas começam a estabilizar seus hábitos de consumo, com alguma tendência de leve queda por conta do aumento do desemprego e redução da renda. Comércio eletrônico e delivery em geral tendem a seguir com algum crescimento.
Adaptar o negócio para entrega direta ou utilizando serviço de delivery é uma necessidade para o varejo. Mesmo que o empresário tenha que fechar sua loja física, deve manter contato com os clientes pelos canais digitais e oferecer serviços e manter a comunicação para ser lembrado
Desenvolvemos nosso MVP da Conectafy, uma plataforma que possibilita a venda consultiva online para empresas de varejo e negócios locais, além de um sistema de atendimento para serviços locais.
Nosso objetivo é além de resolver o problema desses empreendedores que estão com as portas fechadas, propor uma experiência de atendimento online mais próxima do real para seus clientes sem a frieza de um ecommerce.
Na Conectafy o cliente entra em contato diretamente com vendedores para tirar suas dúvidas através de chamadas de vídeo e voz, e logo em seguida ele pode agendar a retirada ou entrega do produto, aumentando a eficiência da venda e dando sentimento de exclusividade de atendimento para o cliente. Não somos um e-commerce, e sim uma nova experiência de atendimento virtual.
Gostaríamos de agradecer a mentoria da querida Adriana Vale que nos auxiliou durante este processo.
Referências:
https://g1-globo-com.cdn.ampproject.org/c/s/g1.globo.com/google/amp/globonews/jornal-das-dez/video/vendas-no-varejo-se-reformulam-com-plataformas-digitais-gratuitas-8543973.ghtml
acesso em 17/05/2020
https://bibliotecas.sebrae.com.br/chronus/ARQUIVOS_CHRONUS/bds/bds.nsf/943914ef41ca0069a0f7f10ed569950a/$File/19499.pdf
acesso em 17/05/2020
https://cev.fgv.br/noticia/cielo-divulga-impacto-do-covid-19-no-varejo
acesso em 17/05/2020
#D019
#D107
#D128
#D141
#D155
#D171
Built With
bussines-plan
framework
prototype
research
ui-design
user-experience
Try it out
xd.adobe.com | Conectafy | Na Conectafy o cliente entra em contato diretamente com vendedor. Não somos um e-commerce, somos uma nova experiência de atendimento virtual. | ['Kaique Pereira', 'Carlos Gizbert', 'murillo santos'] | [] | ['bussines-plan', 'framework', 'prototype', 'research', 'ui-design', 'user-experience'] | 19 |
9,914 | https://devpost.com/software/test_deep_covid-19 | Logo de nosso grupo de estudo (GREMLING) da Universidade Federal de Itajubá (UNIFEI).
Resultados da primeira parte do projeto.
Resultados da segunda parte do projeto.
Óbitos por SRAG em 2018, 2019 e 2020.
Curva média dos óbitos por SRAG em 2018/2019.
Estimativa dos óbitos por SRAG decorrentes do COVID-19 em 2020.
Quem somos:
Integrantes do grupo de estudos GREMLING (Grupo de Estudos em Machine Learning) da UNIFEI (Universidade Federal de Itajubá). Atualmente, somos graduandos em Bacharelado em Física com experiência em Data Science e Deep Learning aplicado em nossas respectivas pesquisas ("Solução de Equações Diferenciais Parciais Não Lineares com Deep Learning aplicadas à Relatividade Geral", e, "Aprendizado de Máquina na Redução de Dados Astronômicos.").
Proposta:
Visamos trabalhar na solução do desafio "D051 - IA e Ciência de Dados para Apoio à Decisão Clínica". Constituído de duas partes: Construir uma ferramenta computacional de análise de dados capaz de estimar o número de óbitos subnotificados decorrentes da COVID-19, e, construir uma ferramenta baseada em Inteligência Artificial (Deep Learning) para analisar radiografias e tomografias a fim de auxiliar no diagnóstico médico.
O que faz o projeto:
(OBS: É extremamente necessário que os repositórios do GitHub sejam consultados, já que toda a metodologia aplicada está lá contida, assim como os resultados obtidos.)
Parte 1: Um script simples capaz de trabalhar com bancos de dados provenientes de fontes confiáveis a fim de aplicar conceitos básicos de datascience, probabilidade e estatística para estimar a quantidade de casos de óbito por SRAG (Síndrome Respiratória Aguda) causados por COVID-19 que não foram catalogados como tal, estimando, assim, a porcentagem de casos de morte subnotificadas no Brasil.
Parte 2: Foi treinado um modelo utilizando ferramentas sofisticadas de Machine Learning para ser capaz de analisar imagens de radiografias de pulmões e tirar conclusões para auxiliar no diagnostico clínico. Sendo capaz de analisar (até o momento) um pulmão saudável de um pulmão com pneumonia, e, um pulmão saudável de um pulmão infectado com COVID-19.
Como foi construído:
Parte 1: Um script feito em Python 3.6 utilizando basicamente a biblioteca 'pandas' para trabalhar com datasets no formato CSV. Assim como utilizando outras bibliotecas padrão da linguagem.
Parte 2: Um script sofisticado utilizando os frameworks Tensorflow e Keras para treinar um modelo de reconhecimento de imagem utilizando dois datasets distintos, a fim de que a IA consiga diferenciar pulmões saudáveis de infectados pelas radiografias dos pulmões.
Realizações e conclusões:
Parte 1: Conseguimos chegar à conclusão de que há 9570 óbitos por SRAG causadas por COVID-19 que não foram catalogadas como tal, consistindo, então, em 52,82% dos casos de morte por SRAG registradas.
Parte 2: Conseguimos, com um dataset pequeno, obter a acurácia de 71% em diferenciar um pulmão saudável de um infectado, e com um dataset mais robusto, conseguimos chegar à 91% de acurácia.
Desafios e possíveis futuras implementações:
Parte 1: O modelo utilizado é muito simples. Poderíamos, com mais tempo disponível, criar e aplicar uma metodologia mais sofisticada que agregaria um grau maior de confiabilidade ao método. Como, por exemplo, utilizar dados de mais anos anteriores à pandemia, o que agregaria uma precisão maior à estimativa (foram utilizados dados dos anos 2018, 2019 e 2020, apenas).
Parte 2: Como não tivemos a nosso dispor nestes dias uma máquina de alto poder computacional, a eficácia dos modelos treinados ficou comprometida, assim como uma dificuldade em obter e trabalhar com datasets de radiografias em apenas um final de semana. Futuramente o modelo da Rede Neural assim como o método de treino poderia ser otimizado, o dataset poderia ser aumentado e mais bem trabalhado para auxiliar o treinamento da rede, e principalmente, termos a disposição uma máquina de alto poder computacional, para que possamos treinar a IA por uma grande quantidade de tempo de forma ininterrupta.
Link's para os repositórios no GitHub:
Parte 1:
https://github.com/Gremling-Machine-Learning-Study-Group/Estimativa-de-mortes-por-COVID-19-subnotificadas-no-Brasil---D051---HACKCOVID-19
Parte 2:
https://github.com/Gremling-Machine-Learning-Study-Group/Deep-Learning-na-analise-de-imagens-de-raio-x-para-auxilio-na-decisao-clinica-de-COVID-19
Link para o Pitch: (Apenas vídeo)
https://www.youtube.com/watch?v=8ujmJz6i4YI
Built With
jupyter
keras
pandas
python
tensorflow
Try it out
github.com
github.com | Deep_covid-19 | Consiste em, através de estatística e probabilidade, obter o número de mortes por COVID-19 subnotificadas, e, obter um script capaz de diagnosticar COVID-19 por radiografias através de Deep Learning. | ['Daniel Mendes', 'Rafael José Rangel'] | [] | ['jupyter', 'keras', 'pandas', 'python', 'tensorflow'] | 20 |
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