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9,921 | https://devpost.com/software/altruism | End to End solution
Mental Health
Inspiration
Data suggests people are suffering from Mental Health related issues and the current COVID 19 pandemic crisis might escalate it.
What it does ?
Altruism provided a framework to assist a person with mental health disorder, get diagnosed and can reach out to community and experts for help.
How I built it
Using WhatsApp and Google Suite based on community model.
Challenges I ran into
Collecting data while researching
Accomplishments that I'm proud of
Put out a framework to assist people in need.
What I learned
How WhatsApp and G Suite (free resources), can be used to aid the ones in need.
What's next for Altruism
Packages within Python to be used to analyze meeting (Video and Audio) to remove dependency on actual monitors to be present during a meeting.
Sample form
Built With
gsuite
whatsapp
Try it out
github.com | Altruism | COVID-19 has forced people to alter their routines, impacting their mental health. Solution will assist people to overcome fear & give a platform on which they can depend on after pandemic is over. | ['Swapan Roy'] | [] | ['gsuite', 'whatsapp'] | 29 |
9,921 | https://devpost.com/software/covid-19-chart | Interactive Chart showing trends of COVID-19 of different locations in the world.
Always up-to-date COVID-19 data
Table showing data of all the countries with COVID-19 cases. (184)
Bar Chart showing countries with most COVID-19 cases
Inspiration
The inspiration started from our simple wondering: why can’t every country have the same level of access to the data we need? Why is it so difficult to get our regional data of CoVID infection? We wanted to help people to know the exact information in their region and their loved ones so that they can feel safe and know what is going on. As the situation gets serious in Europe and the whole globe, the most important thing is to get the exact data.
That is why we came up with this idea of our application:
CoVID 19 Dashboard
.
Until now, we had a lot of inconvenience of accessing the data we needed. There were a lot of problems because of this. For example:
Could not quickly get to the information you need
Could not understand the infection rate for your community
Could not check the curve and overall status.
Could not access the exact number of CoVID statistics by categories.
Could not search the region that you wanted to check.
Could not see both the world’s status and the regional status at the same time.
We thought we could fix these problems and make it better. We fixed most of the problems above and provided:
Easy access to the COVID-19 statistics by country categories.
Convenient User Interface
The number of German cities’ active COVID-19 patients.
The flow of the curve of new patients in German cities.
Total confirmed, total active, and total death in the top 6 countries
Users can search their region and get the information they need.
Our application can help people in various aspects. We believe that we can defeat COVID-19 by collaborating and staying healthy. We want to be part of the fight.
What it does?
Visualizing the COVID-19 data in as a Chart. Update every 24 hours
The chart informs people of the valuable trend of the COVID-19 situation better than only the latest updated value.
Collection of trustworthy data source in one place as a dashboard.
To help the German and other citizens, understand the trend of COVID-19 better. I started with the data in German cities as I am now studying in Stuttgart, Germany.
To help people understand the daily trend of COVID-19 what is going on in their own regions.
How I built it?
Node.js server helps to retrieve data from several trustworthy datasource.
HTML5 with Bootstrap framework.
Challenges I ran into?
I knew about this hackathon only half an hour before the deadline.
Built With
apex-chart
bootstrap
css
css3
datatable
express.js
html5
javascript
node.js
Try it out
www.covid19dashboard.org | COVID-19 Dashboard | The web application dashboard for visualizing the COVID-19 data. | ['Chaeyun Kim', 'Joe Thunyathep S.'] | ['Mr. Worldwide'] | ['apex-chart', 'bootstrap', 'css', 'css3', 'datatable', 'express.js', 'html5', 'javascript', 'node.js'] | 30 |
9,921 | https://devpost.com/software/anticorona | Page1: The user can search on the textbox and add a product that is missing example, toilet roll and it will show all the stores near by
Page2: A form that alerts people when a missing item is coming available
Page3: A form where people can add what they are missing, top 10 items are then to be calculated and used to alert people
Inspiration
The inspiration for this project comes from the need to support the community during this crisis and manage the potential shopping panic, where consumers can easily find goods they need. If the situation gets worse, it would be nice for people to find what they are looking for by easily using this app.
What it does
The app informs and alerts people when a certain item becomes available, it predicts when the item will be ready in good quantity, allowing people to obtain it promptly. It should eventually reduce the amount of time people have to spend moving around and therefore limit the scope for cross-infection.
Page 1 - Find
Benefits
Safer travel by reducing the journey time
Reduce the chances of cross infection by traveling less
Easily find out if the place we wanthat have the goods you require - Screen 2 - Add a search item - toilet roll
Helps you know when is a good time to go out and avoid queues and crowded places especially supermarkets
Features
Personalised location - mapping vulnerable people and their needs. See where you can purchase nearest to you Screen 2 - Add a search item - toilet roll
Easily shows the distance to all locations that have your goods provided by other people in the world community.
Estimates how likely it is to get your item
Checks on what is needed and re-calculates the top items missing
Search capability for users to search for the items and then see nearest to their location and the quantity of goods.
Page 2 - Alert
Benefits & Features
It allows the community to add the items that are available
Connecting volunteers with the community to support our collective needs
The user can add the items missing and their quantities
The system gets their location getting their consent and disposes once the app is not longer in use
Easy interface with a lot of information on how to use it
Page 3 - Need an Item?
Benefits
The community can inform the app of items missing to help create a list of the most required items
The app allows for the public to inform the community about the items they need within their location
The app will utilise analytics to surface the most searched item and goods
How I built it
I used some of the best technologies to develop this tool below there is some more information:
Frontend - I made use of NextJS/React, for the maps I made use of the MapBox. Some of the key challenges is to use the API for the maps to calculate the distances between the user's location and then sort them starting with the closest location.
The frontend is hosted in Zeit/Vercel on their 'now' platform.
For the backend, I developed a nodeJS app that uses Prisma ORM to get the data and provide the data to the frontend app.
Potentially this REST API could be also used by a native app, such as React Native to create a native application that serves the same purpose.
The backend is deployed in Heroku, and the service can be seen if you use this URL
https://ariskorona.herokuapp.com/api/stores?missing=toiletroll&date=2020-04-27
The website only shows the current days results and every day it refreshes.
Challenges I ran into
As the app has grown more and more challenges have come up. The time was limited so I need to quickly learn how technologies were working and apply to bring the best result.
One of the challenges was to deploy Prisma in Heroku, and understanding how Prisma is working.
Accomplishments that I'm proud of
I am proud that I took the challenge to try to build something in a very small time reacting to the current situation offering and support to the community.
What you have done during the weekend
During the weekend I further enhanced functionality like connecting the backend to the frontend, getting the data to display correctly on the map, allow the users to share their locations, calculate the distance and short the distances, filter the data further moe to provide better results.
The necessities in order to continue the project
In order to continue there will be further work and funding. We believe that this app can help the community and the people that help us during these hard times as well as people from the risk groups. It is an app that could be used after the crisis and we should never forget that as a community we will get back stronger after this.
What I learned
I learn how to use the technology and also built something for other people.
What's next for covidshopper
To further improve it and make it go live.
How to test it?
Url of the video:
https://youtu.be/EX3DNT5knso
Url of the demo:
https://anticorona2.now.sh/
To try the app visit the Alert page
https://anticorona2.now.sh/addstore
Add a store e.g Tesco, Location e.g London Bridge,
Add an Item
Select from the drop-down for example toilet roll
and add a quantity
Go to the main page and search for 'toilet roll' you should be able to see the pin.
Built With
css
database
graphql
html5
node.js
prisma
react
Try it out
anticorona2.now.sh | covidshopper Web | Help people find what they are looking for and give them alerts on where to find it. Using maps utility you can see where items that are essential are within a certain area. | ['Aris Markogiannakis', 'Hal Saleh', 'Marios Stamoulos'] | [] | ['css', 'database', 'graphql', 'html5', 'node.js', 'prisma', 'react'] | 31 |
9,921 | https://devpost.com/software/copper-infused-fabrics-kills-virus-and-bacteria | Copper is a known microbial killer. The element eliminates bacteria through ions that damage bacterial cells. Copper is registered with the EPA as a public-health antimicrobial product because of its proven ability to kill bacteria.
When bacteria and copper ions come into contact, the copper ions weaken the outer membrane of the bacteria cell through the process of oxidation. Copper is toxic to the inside of the cell and, eventually, the copper ions cause the cell to rupture. The cell then loses its vital structure, and dies.
Copper has multiple pathways to kill bacteria. That makes it more difficult for bacteria to become resistant to its powerful effect
What it does: Brand new research published in the New England Journal of Medicine found that copper can be effective against SARS-CoV-2, the virus responsible for the coronavirus pandemic. The study showed that after four hours, the virus was no longer infectious on copper’s surface. In comparison, coronavirus was still infectious on plastic surfaces after 72 hours.
How I built it: Copper is woven into our fabric not sprayed so it doesn’t just wash away.
Accomplishments that I'm proud of: Anti-Microbial, Moisture Wicking, Flexible Fabric, Anti Odor
What I learned: To help combat odor, our gear destroys 99% of the odor-producing bacteria it encounters, allowing you to enjoy a stink-free workout
It can be implemented in public places and transport.
What's next for Copper-infused fabrics kills virus and bacteria to start sales in Eu and US
https://arenamedica.eu/index.php/research-and-studies/
Built With
nanoparticles
Try it out
arenamedica.eu
arenamedica.eu | Copper-infused fabrics and surfaces kills virus and bacteria | Copper element eliminates bacteria through ions that damage bacterial cells. Copper is registered with the EPA as a public-health antimicrobial product because of its proven ability to kill bacteria. | ['Andrius Uzusienis'] | [] | ['nanoparticles'] | 32 |
9,921 | https://devpost.com/software/blue-19 | we have not complete quarantine in Egypt it begins after 8 pm so we have to help people to stay safe by alarm them they have infected earlier before infect others
We develop app that can track the people treated with patient of covid-19
And send then nonfictions if they treated with covid-19 patient
The app depend in Bluetooth connection so it can used offline
For example there is x and y persons
If x meet y for one minute or more and distance of 1 meter (measured by signal strength ) the app will save the data of x and y and their meeting time
If x ensure he infected wit cvid-19 he will switch the button (+covid-19) here the application will send messages to all people he meet in 14 day that you treated with covid19 patient and that was 3 days ago (ex) so you should stay home for 11 days to ensure you negative
And the data collected in app will sent to government
If y meet z in in this case y will send secondary alarm to z
with our team they worked hard and still have to work more to complete the project
tracking ear infected
Accomplishments that I'm proud of
What I learned
What's next for BLUE-19
Built With
javascript
smartphones
Try it out
sketchware.io
sketchware.io | BLUE-19 | App that can track patient offline | ['ahmed fouad', 'Rana Mohamed'] | [] | ['javascript', 'smartphones'] | 33 |
9,921 | https://devpost.com/software/remote-patient-monitoring-system-zjfnc5 | Block diagram of remote patient monitoring system
Problem Statement
A potential challenge during the pandemic outbreak like COVID19 is overwhelmed hospitals. At present, the hospitals don’t have the capacity for large number of incoming patients. There is a need for a technology platform which is capable of remote-monitoring and allowing for the engagement of patients in their homes. The capabilities also facilitate communication between quarantined people and the healthcare service and maintain visibility of those recently discharged.
Proposed Solution
Remote Patient Monitoring (RPM) platform offers an ideal way to monitor patients while they are in quarantine or at home. The platform offers an end-to-end solution all the way from devices to central command center dashboard and analytics along with managed services.
The device hub include those that measure vital body temperature, heart rate, blood pressure, SPO2 level in the blood. If the patient clinical situation deteriorates, the system, supported by health-workers oversight, can respond rapidly through central command center and decide if they need more intensive levels of medical care. At the same time, providers are at no risk of exposure to COVID-19 when they manage a patient remotely. It is highly important to preserve a healthy clinician workforce at any time and especially during a health crisis like COVID-19.
During this public health emergency, it is imperative that the Government and healthcare system adapt as the situation warrants to act upon measures to save lives.
Implementation
If small Patient Monitoring could be connected to a network wirelessly, patients would be able to move around freely while their physiological signals are monitored. Thus, medical personnel could be informed about a patient’s critical condition regardless of their whereabouts and they could be treated promptly if an emergency occurs. Furthermore, portable devices can be integrated into the Healthcare environment and used to develop novel applications. Thus, we will develop a portable embedded device that can monitor the condition of patients in real time using biomedical sensor network such as sensor is pulse oximeter (SPO2), thermometer, respiration, blood pressure (BP), and provide various physiological signals via wireless communication so that the physiological signals may be monitored remotely Based on the graphic display (android Smartphone) and web, using Web Server and Database subsystem we can take physiological signals data any where in the word at any time and this device detect emergencies and inform medical personnel when they occur. Thus, medical personnel could be informed about a patient’s critical condition regardless of their whereabouts and they could be treated promptly if an emergency occur
Expected Result
RPM will help to ease of access to patient data. It will help to deliver high quality care to the more patients. It will help to exposure to healthcare staff. RPM is a patient monitoring system. It collects the physiological signals of patients using biomedical sensors network and processes them so they can be interpreted easily by medical personnel. Unlike conventional patient monitoring, RPM is small, portable, battery operated, and based on wireless communication. Thus, our device could be useful in a Healthcare environment where the remote monitoring of patients is essential.
Action Plan after the Hackathon
After the Hackathon, we will develop the idea further and standardize decisions regarding supply and distribution with the platform.
With adequate funding, we will launch this product within 5-6 weeks after the hackathon
Built With
api
iot
web
Try it out
github.com
he-s3.s3.amazonaws.com | Remote patient monitoring system | Remote patient monitoring platform offers an ideal way to monitor patients while they are in quarantine or at home. The platform offers an end-to-end solution all the way from devices | ['RHEA S'] | ['3rd Place'] | ['api', 'iot', 'web'] | 34 |
9,921 | https://devpost.com/software/covid19-awareness | Inspiration
If you want to fight something, you have to know all information about it,what it is ? ,how it appeared ? and how it spread. in this way. I am able to fight it.
What it does
My website contains all data that helps to fight Covid 19 and protection from it, such as how it spreads, what are the symptoms of Covid 19, how do I protect myself from Covid 19? Have viruses of this nature appeared before and what are the most important questions and answers related to Covid 19
How I built it
I built it using html5 css3 JavaScript jquery bootstrap
Challenges I ran into
Some of the information was difficult to obtain, especially you want the Right information
Accomplishments that I'm proud of
I am proud that I am building this website to help people, and I have already published this website and I think I have know how can protect ourselfs from covid19
What I learned
By building that web site, I got a lot of good and useful information for me, and knew what a Covid 19 virus and how to protect myself and my family from it.
What's next for COVID19 AWARENESS
Next I will add more information that helps people and I think I will add the telemarketing section. This will help prevent the spread of the virus.
Built With
bootstrap
css3
html5
javascr
jquery
Try it out
blissful-cori-f894a0.netlify.app | COVID19 AWARENESS | If you want to fight something, you should know all the information related to it to defeat it. For this reason, my idea is a website that includes all the necessary information about the Corona virus | ['mohamed khaled'] | [] | ['bootstrap', 'css3', 'html5', 'javascr', 'jquery'] | 35 |
9,921 | 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'] | 36 |
9,921 | https://devpost.com/software/covid-19-preliminary-diagnostic-mobile-application-using-ai | UI for the webapp
Inspiration
The whole world has come to a standstill to fight the major pandemic that has had such a massive effect globally.
Being a technologist, we would like to solve this problem faced by the world during pandemic outbreak.
Testing people in the early phase of outbreak is one of the solution to stop pandemic. To test more people we need to filter people with high chances of infection rather than blindly testing everyone. Our idea aims to solve this issue of effective testing of COVID-19 affected people, to help ease the government and provide effective use of testing kits.
What it does
A preliminary analysis of covid-19 is created based on :
AI based dry cough recognition
Body temperature using wearable or user input
User risk group(age,travel history,health conditions,first contact with infected patients).
A score is generated which presents probability of COVID-19 infection for the application users.
How I built it
The core part of the application is the CNN based deep learning algorithm that detects dry cough. The other details input by user are evaluated and a scoring mechanism provides the preliminary score.
The model is trained using cough data samples from various sources like
YouTube
,
OSF
and personal recordings from friends and relatives.
The frontend is built using HTML and Ajax, while the backend is developed using Flask and Python. The server is built on AWS (Amazon Web services) EC2, which provides a secure SSL based HTTPS method to save the audio and user data.
Challenges I ran into
Development of Front end and backend, since none of the contributors have experience in this domain. We all are electrical and deep learning engineers with no practical experience in Full stack development.
Accomplishments that I'm proud of
Working prototype of the idea :
https://d30833ct5oclpr.cloudfront.net/prelim
Reaching out to the masses to provide a free diagnostic application
What's next for COVID-19 Preliminary diagnostic application
Create a mobile application based on similar features and deploy it on PlayStore.
Domain Registration Ongoing :
www.pre-diag.com
Maintain a private website, that keeps a record of the probability of affected patients. This can be broken down to specific regions, locality, etc.
Collaborate with government agencies and provide them with this data so that they can organize testing affected patients and help them fight this issue effectively.
Built With
ajax
amazon-web-services
deeplearning
html
python
tensorflow
Try it out
github.com
d30833ct5oclpr.cloudfront.net | PreDiag: AI based preliminary COVID-19 Diagnostic App | A preliminary analysis of covid-19 is created based on:- 1.AI based dry cough recognition, 2. Body temperature using wearable or user input, 3. User risk group(age,travel history,health conditions). | ['Animesh Mukherjee', 'Kiran Kumar Gude', 'v k', 'Balaji Kulkarni'] | [] | ['ajax', 'amazon-web-services', 'deeplearning', 'html', 'python', 'tensorflow'] | 37 |
9,921 | https://devpost.com/software/medilinkup-ehealth | How it works
Patient form for data collection
Design
Patient result
MediLinkUp product
Development in progress
Inspiration
Sub-Saharan Africa is a resource-constrained region that suffers a top-heavy share of the world’s burden of disease.
According to the World Health Organization (WHO), about 12% of the world’s population lives in sub-Saharan Africa, yet the region suffers 27% of the world’s total burden of disease.1
To make the situation worse, the same region with a high burden of the disease still lags in health information technology (HIT) which is vital in ensuring improved patient care.
Timely as well as accurate patient information is essential to meet the health-care needs of any patient in any population.
Physicians and other care providers require high-quality information to make sound clinical decisions; however, their information needs are often not met.
The first three challenges identified were inadequate human resources (34.29%), inadequate budgetary allocation to health (30%), and poor leadership and management (8.45%). The leading solutions suggested included training and capacity building for health workers (29.69%), increased budgetary allocation to health (20.31%), and advocacy for political support and commitment (12.31%).
The critical need for good health information systems in sub-Saharan Africa has become the current focus of attention.
Many studies conducted in different health-care settings have indicated that EHRs will assist health professionals to reduce medical errors, achieve better effective care coordination, improve safety and quality, and also, it can reduce health-care costs.
What it does
First, though an important starting point, training alone is insufficient to engage and build capacity for facility and community health workers. Stakeholder meetings, data reviews, and mentoring use of data as a basis for decisions have been utilized to engage health workers and managers and demonstrate the value of data, HIS quality, and ownership of tools to summarize data and guide decision making. A second lesson learned is that it is critical for HIS interventions to be developed in the context of the national HIS, which has been feasible across PHIT Partnerships and is crucial to ensuring the sustainability of the programs beyond the project lifespan. Finally, in two of the PHIT Partnerships, the increased availability of mobile phone technology has facilitated the introduction of EMR systems in rural, resource-constrained environments. These ICT innovations have come at a high initial financial cost to build infrastructure, modify software, and build human resource capacity for their use.
“Build an IA method to learn from the data and detect COVID-19 symptoms and diagnose patients. The learned model allows us to classify COVID-19 cases.”
How I built it
Build a website to collect data of patient's symptoms
Create a large database epidemiology data and identify coronavirus symptoms.
Manage the database, making it usable to other researchers while taking care of privacy concerns.
Build an IA method to learn from the data and detect early COVID-19 symptoms.
The learned model allows us to make a diagnose.
Evaluate IA method
Challenges I ran into
Although fewer than 50% of Africans have access to quality healthcare, physicians and other health providers require high-quality information to make sound clinical decisions; however, their information needs are often not met. This can results in 30% inadequate budgetary allocation to health and 8.45% poor leadership and management. Furthermore, of those who had access, 42% reported difficulty obtaining needed care.
The current COVID-19 epidemic places an increased burden to have timely and accurate patient information. This lack of high-quality information often leads to a lesser quality and inefficient patient care, which can lead to increased mortality.
Accomplishments that I'm proud of
Minimum Viale Product (MVP)
Business model canevas
https://sites.google.com/view/medilinkup/home
https://github.com/garbamoussa/MediLinkUp
What I learned
Data Science helps doctors monitor patients’ health with the help of IoT devices. These wearable devices help monitor various medical conditions such as heart rate, body temperature, blood pressure, etc. These devices send patients’ data to concerned doctors for medical analysis. This helps doctors take the necessary steps for treating patients accordingly.
Data Science helps doctors monitor patients’ health with the help of IoT devices. These wearable devices help monitor various medical conditions such as heart rate, body temperature, blood pressure, etc. These devices send patients’ data to concerned doctors for medical analysis. This helps doctors take the necessary steps for treating patients accordingly.
Apart from the other applications of Data Science, it helps in managing the patient data. The patient data is stored in databases and can be used in the future for the analysis of several medical conditions and the improvement of medical diagnosis and treatment.
What's next for MediLinkUp: eHealth
Implementation will be funded by an investor, grants, and private equity.
Business for profit: annual subscription based on package deals.
Solution distribution
Built With
cloud
django
flask
google-web-speech-api
mongodb
python
Try it out
github.com
sites.google.com | MediLinkUp:eHEALTH SYSTEM 4DETECTION,DIAGNOSIS,AND ANALYSIS. | Maximizing digital health technology to improve quality and patient safety in Africa | ['GARBA Moussa', 'Golda Kamara', 'Benny Moja', 'Julius Basiima', 'Ntsiki Ncwadi', 'Ameena Bala'] | [] | ['cloud', 'django', 'flask', 'google-web-speech-api', 'mongodb', 'python'] | 38 |
9,921 | https://devpost.com/software/remote-testing-and-treatment-management-of-covid-19 | initially it looked like this
no covid19 detected
covid 19 detected
Inspiration We wanted to join the international community in the fighting the corona virus pandemic and more so help protect the medical health front liners team from contracting the virus by minimizing their contact with infected people and also save the crippling health systems of some countries that may not be able to accommodate huge numbers of people in the hospital premises.
What it does It registers people before they start testing for covid 19 remotely by prompting them to enter their name,address ,health history(eg if their are living with any lifestyle disease) and sends this results to the government database together with the test results of covid 19 test.The health guys then administer treatment either virtually at their homes based on their vulnerability.Also this system can have other patients suffering from other diseases treated at home virtually instead of them going to the hospital so as to protect them from going to contract covid 19 in the hospital premises
How we built it We built the logic in python code and the simulation in arduino,
Challenges we ran into It was difficult to do the simulation without an actual prototype therefore it was hard to generate actual data to push into a databse
Accomplishments that we're proud of We are proud of ourselves as engineering students for chipping in to try and provide solutions to corona virus pandemic
What we learned We learnt that technical skills are not enough to provide a solution,creative thinking is required if anything useful is to come out of those skills
What's next for REMOTE TESTING AND TREATMENT(MANAGEMENT) OF COVID-19 We plan to create a real life prototype and test it in an actual real life setting
Built With
8
and
arduino
for
proteus
python
Try it out
github.com | REMOTE TESTING AND TREATMENT(MANAGEMENT) OF COVID-19 | To test for covid 19 and send test results age,medical history and address to the health guys remotely who then decide how to manage based on vulnerability, and manage less vulnerable group at home | ['Mona Zaveria', 'LEILA SINORE', 'Alex Murithi'] | [] | ['8', 'and', 'arduino', 'for', 'proteus', 'python'] | 39 |
9,921 | https://devpost.com/software/fliery | Shop Owner Interface
Customer order Interface
Customer home Interface
Shop Interface for customer view
Inspiration
During quarantine, we are always afraid of leaving home, so it became harder to do our daily shopping.
And for normal days, we don't find time for shopping or our heath condition doesn't allow us to do so.
What it does
Our solution is a strong intermediary for delivering products from the small shops to the house of the customer.
How we built it
Our solution will be a mobile application, codded in React, and cooperation between the team members.
Challenges we ran into
Our main Challenge that we faced up is the time (a lot work and nights without sleep during these 3 days).
Accomplishments that we're proud of
We are proud that we have already contacted over 20 small shops in Fez.
And that our idea is welcomed by many of other small shops.
What we learned
We learn that team work is the success of any business.
What's next for Fliery
Next year we will expand on more shops in fez. And then in 2022 we will expand the market into other cities.
And our objective in the future is self-autonomy for the app.
Built With
react | Fliery | Keep you shopping easy with Fliery | ['Oussama Elmerrahi', 'chaimae chehital'] | [] | ['react'] | 40 |
9,921 | https://devpost.com/software/deepcrisis-ouwi5h | Inspiration
The COVID-19 pandemic is holding the world in a medical, social and economic stranglehold and has forced world leaders to take unprecedented measures and actions. These measures help dampen the spread of the virus, however, have devastating impact on the economic activity resulting in possible recession, education gap, socio-economic problems, and high unemployment.
Managing how the lifecycle of a pandemic (COVID-19 likely will not be the last pandemic the world will face) develops is a primary concern of policy makers, industry leaders, multi-stakeholders, and the local and international community. As tools covering early warning, fast response, curve management and back-to-normal approaches become indispensable, so do the availability of the right data and ways to analyze such data.
In the current Covid-19 crisis, many national and international stakeholders notice that there is a lack of coordination and innovation capacity among existing public and private institutions on local, national and international level.
In this light, DeepCrisis is a crisis management operating system that works with the concept of "micro-services" inspired from the software/web/app development/technology sector.
What it does
DeepCrisis is an operating system (OS) for crisis management and navigation; that works with the concept of "micro-services" inspired from the software/web/app development/technology sector.
DeepCrisis consists of a data, AI, modeling, analytics and prediction platform that allow local and global multistakeholders to manage, respond, and fight Covid-19 and any future pandemic or crisis of any type.
Value Propositions:
Two main values for the Multi-stackholders, Users and the Community:
1- Providing an operating system for government and key stakeholders to navigate, manage
highly-used daily services and support to people in every country/national region/city/town to navigate the Coronavirus (and any other future crisis).
2- Providing a digital- and technology-driven platform that will help to engage multistakeholders to respond effectively to the current Coronavirus crisis, enhance collaboration and increase resilience on local, regional and global level to future crises.
DATA IMPACT: Potential Impact beyond Managing & Navigating the Crisis
The COVID-19 pandemic is holding the world in a medical, social and economic stranglehold and has forced world leaders to take unprecedented measures and actions. These measures help dampen the spread of the virus, however, have devastating impact on the economic activity resulting in possible recession and high unemployment.
Managing how the lifecycle of a pandemic (COVID-19 likely will not be the last pandemic the world will face) develops is a primary concern of policy makers and industry leaders. As tools covering early warning, fast response, curve management and back-to-normal approaches become indispensable, so do the availability of the right data and ways to analyze such data.
DeepCrisis: Data & AI Against Any Crisis
Modern digital technology, like mobile phones, data analytics, AI, platforms, and social media offer a unique set of tools to provide and analyze data, to model, communicate and influence behavior and help manage pandemic lifecycles.
For this our super-app/platform could hold a technology (DeepCrisis) that could provide the following data analytics and outcomes benefits:
Alert or monitoring system using mobile DATA.
Info provisioning and sharing DATA relevant to COVID-19 (and future crises).
Multi-systems modeling, data analytics, and prediction of the epidemic/crisis and and outcomes of the action system putted in place.
Systematic DATA analysis in different countries/regions, populations and age groups (allowing for more targeted responses).
Integration of epidemic and economic DATA in order to drive more accurate societal impact analysis.
The Impact of “Digital Innovation Driven Community & Multi-stakeholders"
In the current Covid-19 crisis, many societal stakeholders like citizens, local communities, national and local governments, schools, universities, companies, civil society organizations, NGOs, international organizations, etc. notice that that they have valuable resources to contribute to an effective, equitable and sustainable response to the crisis. But there is a lack of coordination and innovation capacity among existing public institutions on local, national and international level – the natural leaders for public good delivery collaboration.
In this light, the DeepCrisis will have a dedicated digital platform that works with the concept of "micro-services" inspired from the software/web/app development/technology sector.
The platform will have the following features:
1- Allowing the local and global multistakeholders to cordinate, empower, and engage their resources to better act against the crisis.
2- The creating of local, regional, and international digital- and technology-driven virtual communities that will help to respond effectively to the current Coronavirus crisis, enhance collaboration and increase resilience on local, regional and global level to future crises.
How We Built It
The tech stacks are:
For mobile - Native Android and iOS + Native Cross platforms (React Native + Flutter).
Infrastrcuture : AWS and Google Cloud platform.
Backend : NodeJS (ExpressJS) and Golang.
Frontend: ReactJS.
What We Learned
We learnt that this crisis is going to pass. But this solution is ALWAYS needed to tackle any other crisis in the future.
That's why we believe that this solution needs to be built to be prepared in the future.
What's Next for DeepCrisis
This solution will be deployed globally during the Coronavirus era and during any kind of other future crisis.
Built With
javascript
saas | DeepCrisis | DeepCrisis is the Operating System for Navigating & Managing Future Pandemics and Crises | ['Samir Abdel', 'Mohamed Labadi', 'Massi Amrouche'] | [] | ['javascript', 'saas'] | 41 |
9,921 | https://devpost.com/software/covid-19-frontliners | Home page: Intuitive UI, particles effect in the background
Home Page- bottom: insights on the latest posts
Twitter feed integrated by using Tweepy library and Twitter API, Newsletter subscription using mailchimp API
FAQ Page
Email verification using django-allauth: In order to ensure the authenticity of posts and comments
Login page
Sign up page
Reset Password feature
Details about COVID-19: Statistics, symptoms, preventive measures, etc.
Blog page
An example article
Comment section : Where people can interact with essential workers
Search results...
What is 'COVID-19 Frontliners'?
A blog, where the
frontliners
, and researchers themselves will be posting their insights, advises and updates on COVID-19. Who are these
frontliners
?
These frontliners are our Doctors, Nurses, Paramedics, Pathologists, Hospital Support Attendant’s, and many other healthcare workers who are going to work each day and night.
This is the go-to place for them to let others know what they are in need of; a dashboard for visualising all the information and trends, a live chat feature that lets you chat with a medical professional, among many other small features like newsletter updates and so on.
Especially in developing countries like ours(Nepal), there is a huge lack of resources in medical sector, and also, the government seems to be helpless. Social media are crawling with fake news
especially
at these trying times. And, reaching out to news channels can take a lot of time and effort when it comes to asking for help. Even then, the news portals can be biased in their reporting. Here, the healthcare professionals themselves can share their insights.
Inspiration
The health officials of our area had expressed their dissatisfaction on how their voices actually 'take time' to be spread to the public, and how false news were being broadcast about the pandemic and the medical services of the nation. Also, we observed that the users have to go through many different sites to get information about various aspects the pandemic. We wanted to create a better solution for the people to get their hands on the relevant information from the trustworthy source.
And that's how our team came up with an app idea that would 'make a difference'.
What it does...
It provides a platform for healthcare workers to share their insights and advises, and to ask for help. It not only makes it easier for the people to get all the information and assistance they need about COVID-19 in a single place, without having to filter through all the contents in the internet, but it also creates a much-needed sense of trust between the essential workers and general public.
How we built it...
We created this blog mainly using Django, Bootstrap, jQuery among various other tools. We also implemented APIs to make this a user friendly web app. We deployed it on Heroku server and used Microsoft azure blob storage to serve static and media files.
Challenges we ran into...
-Ensuring authenticity of posts
-Collaborating of back-end developers with front-end designers, and lack of proper communication because of the poor bandwidth.
-Handling the APIs, including Mailchimp API, Gmail API, and especially integrating twitter feed in the footer. they took a lot of time and effort to build.
Accomplishments that we're proud of
We were able to integrate a lot of interesting features including newsletter subscription, email verification and TinyMCE text editor for the posts, that enhance the user experience a lot. We didn't even expect to be able to do this in such little time, but we managed to pull it off regardless.
What we learned...
We learned that there is a need of platform where the essential workers themselves can talk about the ongoing issues of their fields. And that there is a need of sites which would provide all the services in one place without the user needing to go around different websites to find something which may not even be reliable.
So, what's next for COVID-19 Frontliners?
We plan to add a live chat feature in in the site, so that the general people could get direct advise from the health officials, and a dashboard, so that people could get all the information, trends and ins-and-outs about the pandemic in one place.
Built With
azure
django
facebook-login-api
font-awesome
google-font
heroku
highlight.js
javascript
jquery
mailchimp
python
tweepy | COVID-19 Frontliners | We power the frontliners in this fight | ['Ayush Dahal', 'son sarasij', 'Parasan Acharya', 'Suprabhat Rijal'] | [] | ['azure', 'django', 'facebook-login-api', 'font-awesome', 'google-font', 'heroku', 'highlight.js', 'javascript', 'jquery', 'mailchimp', 'python', 'tweepy'] | 42 |
9,921 | https://devpost.com/software/predict-19 | Solution Architecture
Do Europeans give consent to enabling location based services? YES
Solution Validation for individual app users
How many € per month would pay for a service offered by our solution
Snapshot about nationalities participating at the survey
Fundamentals of Data Privacy Strategy
GIF
App_Example
Problem
Quarantining positively diagnosed individuals and tracing their recent contacts to isolate potentially infected has been the current strategy to fight the pandemic in the early stages. However, if number of infections escalates quickly and become too large to be widely tested or contact traced, nations are forced to go into lockdowns.
As we know, nation-wide lockdowns are not a sustainable solution. The economic impact due to this drastic measure is devastating.
We have identified the reasons for a pandemic to quickly escalate out of control to be a lack of accurate insights on the risk of individual infections and lack of continuous and real-time information on virus hotspots. Only with accurate and real-time information, easily accessible for everyone, we are empowered to act effectively and sustainably in the fight against COVID-19.
We were driven by the thought,
can we successfully tackle the pandemic without going into nation-wide lockdowns?
Solution
Oh yes, in this hackathon we found that we can.
Our solution empowers individuals with
easily accessible, accurate and real-time information on individual risk of infection and virus hotspots
, by leveraging mobile technologies, health data and existing disease modelling research.
Mobile App
We have developed a mobile app that utilises GPS and bluetooth. We have also created end points where we can fetch pre-existing medical conditions of the users from the public health data. The app also periodically sends survey questions to those users who have been flagged under high risk by the app based on the data collected and analysed. We only collect a minimum of data and have outlined the specifics in our detailed GDPR guidelines. Notifications and interactions will be context based and will consider the users surrounding and mood to display questions and updates.
We use AWS as a backend cloud service, because it enables quick prototyping and also large simple scaling and security.
Do you own an Android phone and want to get a feel for the app?
Download it
here
Don't forget to set permission for installing third party apps in your android settings
No Android device but still want to test?
Play with the mock up
here
Risk prediction
In order to compute the risk of an covid-19 infection we use state of the art mathematical modelling and machine learning techniques
Individual Medical Care
Population Medical Data
Infection Data
Mobility Information
Monte Carlo Simulation
Reinforcement Learning
We take public large scale data sources such as the development of the virus spread and general health information about the population provided by governments and institutions into account.
Additionally we collect our own data via the surveys, the encounter and the movement analysis inside the app.
With Monte Carlo Simulations we predict future virus spread and use this as in input for our Reinforcement Machine Learning Agent, who will be able to predict infection risks. This agent will be trained by validation data coming from test results and contact tracing solution efforts e.g. from Android & Apple or Pepp-PT.
We base this technology on existing research on Coronavirus spread models from earlier epidemics like MERS from leading researches in South Korea
Kim et al. 2018
.
We adjust this model with novel ML techniques and more complex data, utilising the unique willingness of the population to fight this virus and their openness to help.
Updates about our implementation can be seen here
Business Model
We have a 2 sided solution with subscription model for users and with business and governments on the other side.
Our business research showed that the average user would be willing to pay 3.84€ per month for a solution like ours
So we decided to offer the service in the app store initially for about 4 euros. This is will allow us to grow our active user base. Once we have confidence in our model we will be able to sell our predictions to businesses and governments and this will allow us to break even and scale-up
Data Privacy Strategy
We are aware that reservations against the extensive use of data in the fight against COVID-19 exist, especially in Europe. But, with the devastating effects of the shutdown growing every day, solutions are needed that use data and technology to overcome COVID-19 fast and efficiently. At the same time, we believe in data privacy as a cornerstone of any free and democratic society.
Our business model allows for Data Privacy Strategy based on full transparency and user control. We are not relying on the exploitation of personal data, so we do not need to hide what we do from our users. Adapting a forthcoming, highly transparent communication strategies, will allow us to build trust, stay compliant and benefit from strict data privacy rules. We will clearly explain what we are going to do with the users' personal data and obtain explicit permission from users for processing. Because health data is very sensitive for most users, we will give users maximum control over their data, beyond what is legally required.
Consent is the most transparent, user friendly and least risky justification for processing personal data, including health data. Consent allows us to process all the data we need, to provide the risk predictions. With regards to health data, which is specially protected under the GDPR, consent is also the most practical and fairest justification for processing.
Since giving consent to data processing is a standard procedure for most end user applications, asking our users for it, will not significantly lower conversation rates. We will use transparency and fairness as competitive advantages, by building data protection into the DNA of the product right from the start.
At every development step we consult with our team member and legal adviser Bork Morfaw, who is determined to to ensure GDPR compliance to the fullest extent for a functioning solution.
Further detailed information
here
in this document
Scale-up Plans
We have developed the solution foreseeing future pandemics with different behavior and incubation period. We also plan to scale up the products to be a software solution for the public health domain across nations which can be used to easily reach out to its citizens for in-app surveys which is also valuable in containing seasonal epidemics.
Many epidemiology models work similarly, that our app will be able to adjust to different outbreaks all over the world.
This can help preventing future pandemics and following global recessions.
Socio-economic Benefits
Our solution has various socio-economic benefits, especially when deployed widely. For example, we can help avoid shutdowns, advance European Sustainable Development Goals, support the fight against infection diseases, and support resource allocation by providing insights into the spread of the disease.
Schools and Universities could remain open
Remote work can be reduced as only high risk infectious people will stay home
Unemployment will be reduced due to higher mobility
Travelling will be possible, since our system can be used world wide
Resources can be allocated to upcoming hotspots of the epidemic
Faster response times and preparation leads to fewer deaths
Further detailed information
here
in this document
Progress made during the hackathon
During this hack we develop the mobile-app and the risk estimation model from the ground up. We came in as a team of 7 people from 4 countries, we met most of us at different hackathons competing against each other. We decided to join forces to inspire, innovate and engineer a solution that would save nations from going into lockdowns.
We started with digging deeper into the news, mentors and webinar to identify the most important problem or the pain point. Further, we spend ample time on brain storming ideas over discord channel which was active for past 60 hours without break. Once we had clear path to the solution we divided the tasks and started developing the solutions from scratch. We kept on updating the progress every 2 hours and made sure everyone is motivated and kept in the loop.
In short, we together developed a functional app from not knowing each other during the weekend.
Necessities in order to continue the project
PREDICT - 19 solution was developed as a stand alone fully functional service without any dependencies. Our app is able to make predictions and give real-time virus hotspots without dependencies. However, in order to get better risk predictions and more accurate virus hotspots, access to the pre-existing medical conditions of the users from the public health data is needed.
This is to be done with strong data protection agreements signed.
Feedbacks please
We would love your feedback to improve our hard work. Please download PREDICT-19 android app from
link
or from the
Try it out
section below. Looking forward to your valuable comments.
Remember to grant access to foreign apps while installing it.
Built With
amazon-web-services
kotlin
node.js
python
swift
tableau
tensorflow
Try it out
www.figma.com | PREDICT-19 | We predict the risk of infection of individuals and provide accurate insights on real-time virus hotspots by leveraging mobile technologies, health data and existing disease modelling research. | ['Kevin Jacob', 'Marvin Mouroum', 'Gijs Wissing', 'Anu Kurian', 'Jonny Smyth', 'Jack Doyle', 'Bork Morfaw'] | [] | ['amazon-web-services', 'kotlin', 'node.js', 'python', 'swift', 'tableau', 'tensorflow'] | 43 |
9,921 | https://devpost.com/software/reopen | Logo
User Application
Business Application
Inspiration
Social distancing idea.
What it does
“Reopen” aims to slow down or prevent possible virus infection while reopening the economies. Reopen is an application for smartphones used by both individuals and businesses, such as restaurants, bars, stores, and many others where visitors might harm others due to overcapacity. The application will prevent large crowds of people existing at the same place which can harm the health of others as well as further spreading the virus. This platform will significantly help minimize the risks of reopening the economy and a possible second wave of the virus.
Use for businesses:
A business admin will be able to set hours and visiting capacity to limit the number of visitors. In addition, admins have access to visitors’ database (name and contact info) to notify them in case they have been encountered with COVID-19.
Use for individuals:
In order to visit certain places that are participating on the same platform “Reopen”, a user must sign up and reserve a time slot for visiting. The application regularly asks users to update their health information in regard to any COVID-19 symptoms. A user can add registered family members and/or send an invitation to friends for visiting a certain place.
Functionality example:
A person visited chili’s last week and tested positive for the virus yesterday. He/she would declare this in the app which in turn sends notifications to all places that has been visited by the same person in the past 14-days. Business admins will receive notifications that “a person visited on
date
Time___have tested positive for COVID-19; please notify all visitors who may be encountered with this person at the same time”. The application gives suggestion to notify a specific group of visitors, visiting at the same date and time.
Individuals who might have encountered the virus will receive the notification that they have been “encountered with COVID-19, please isolate yourself for 14-days and watch for any symptoms”.
Accomplishments that I'm proud of
Developing the brand and the prototype of the idea.
What I learned
I learned that it is possible to reopen the economy safely with the help of Reopen.
What's next for Reopen
Reopen still has a large potential for many features. It can manage a smooth flow for businesses in the cause of any natural disasters where most stores run out of essential products. Reopen can provide an equal opportunity to acquire certain items.
Built With
xd
Try it out
xd.adobe.com
xd.adobe.com | Reopen | Safe Business Reopening During Covid19 | ['Hanadi Alotaibi'] | [] | ['xd'] | 44 |
9,921 | https://devpost.com/software/enhancing-communication-within-a-course-offering | The Challenge Driven Approach using Design Thinking Methodology.
Inspiration
There exists changes in education driven by cutting edge technology. The growth in the demand for online digital learning has occasioned the rise of several digital learning platforms, all with the aim of equipping learners and tutors with the tools necessary to enable online learning. However, these platforms are fragmented and need other additional platforms to efficiently fulfill the learners needs; for instance, a tutor may use both google classroom and meet for a lesson.
This brought to our attention the need to provide an efficient, wholesome, easy to use system to the growing population of young people in Africa as well as contribute to the need for quality education among the society for a better future by including all the components needed into one e-learning system.
What it does
Our project proposes the use of
moodle
, which is a learning management system, one of the most widely used Learning Management Systems across the world. We divulged in the use of plug-ins in the learning system which is expected to facilitate enhanced interactions on the platform and encourage forum discussions and other similar positive course activities, supporting text, images and videos as well as live stream capabilities.
The system provides a clean, easy to use platform for people across all ages in an effort to make learning more fun and accessible especially during this
COVID-19
pandemic.
How We built it
We used a challenge driven approach which involves design thinking methodology in building the system, engaging learners and tutors in the iterative development of the prototypes.This was blended with the use of questionnaires to get more insightful ideas on the challenges from the users perspective.
Challenges We ran into
We stumbled upon various challenges which include :
Cost - Some of the plugins were premium, which drove up the setup costs.
Language - getting correct translations into different languages, Moodle’s default is English.
Notifications - It was challenging finding an affordable third-party partner for SMS notifications.
Accomplishments that We're proud of
We managed to get a prototype of the system envisioned working, and also conducted tests with different users. We are especially proud of the reception it achieved;
* It was simple and easy to use for older learners and tutors and
* At the same time fun and refreshing for the younger users.
We were also proud of the time and efforts that each one of us took in order to see the project to fruition and seeing the impact it could have to the society.
What We learned
The lesson our team took home is to work with the end users in mind. Courtesy of using design thinking methodology in the creation of the system, we were able to overcome our own biases as developers and deliver what the end users would really use in a day to day digital learning environment.
We also appreciated the need to use available resources in building up our solution rather than building a whole new project, for example in our case a new learning platform
What's next for Enhancing Communication within a Course Offering
As much as we have already ticked off a number of items from our development to do list , we realize that technology is changing rapidly everyday and so are the needs of the users, we have therefore bench-marked some aspects of the system that we feel can be improved on further.
An example of such a component is adding an event platform for facilitating online events. These and other improvements will ensure the solution is not only helpful but also relevant to the people who need it the most, the learners, and their tutors.
Built With
excel
github
mock-ups
moodle
php
phpmyadmin
twilio | Elimu Bora | Enhancing Communication within a Course Offering in Universities and Schools especially during this COVID-19 pandemic. | ['Charles Kyalo', 'Laureen Toroitich', 'Ken Musembi'] | [] | ['excel', 'github', 'mock-ups', 'moodle', 'php', 'phpmyadmin', 'twilio'] | 45 |
9,921 | https://devpost.com/software/listening-space-online | Inspiration
To create a solution
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Listening Space Online
Built With
api
librarious | Listening Space Online | Together we can prevent mental illness! | [] | [] | ['api', 'librarious'] | 46 |
9,921 | https://devpost.com/software/ugoround-geo-surveys | An example of a simple Geo Survey and the option to see in multiple languages
A Survey Log on the Dash. In this case 3 replies. Each dot on the map represents the reply. In this example we asked about loneliness.
Inspiration
We have built UgoRound to serve the global need for an improvement in communications in Emergencies and Events that impact people. We realised that the CHECK IN functionality could be re-purposed to create anonymous Geo Surveys.
What it does
We have created an easy way to create a simple Survey that allows the Citizen to submit a choice of 3 options. Its essentially a Positive, Negative or Unsure selection that could represent any "sentiment" you wish to collect that allows you to see where on the map clusters are and how they change over time.
How I built it
We have created the Web Based platform using PHP and are using Couchbase NoSQL database. The Mobile Apps are built using SWIFT for iOS and Java8 for Android
Challenges I ran into
Our team has been working on the core system for some 4 years. We solved a number of challenges including how to use Location services (on a Smartphone) anonymously and such that there was hardly a battery drain.
Accomplishments that I'm proud of
The fact that the Battery is hardly impacted by our solution is one of the problems we solved. It's a big achievement as any app using GPS and Location services is usually responsible for highest battery drain. Our solution won't go beyond 1-3 % over the course of the day. We have also developed a unique way to show the survey and alerts in multiple languages.
What I learned
We learned that simple and intuitive solutions are the hardest to create!
What's next for UgoRound Geo Surveys
We are looking to offer this to Government agencies, Health Care institutions and any Disaster and Emergency Management agencies
Built With
java
javascript
php
swift
Try it out
ugoround.com | UgoRound Geo Surveys | Create Geo Surveys and people can send in their replies anonymously. Replies are curated on a Map by way of RED, GREEN or AMBER dot. This represents how the (anonymous) Citizen is "feeling". | ['Gavin Bernstein'] | [] | ['java', 'javascript', 'php', 'swift'] | 47 |
9,921 | https://devpost.com/software/support-notes-for-seniors-v2 | home
how it works
send
Track: Health
Inspiration
Two years ago, I was in quarantine for a month due to a disease. During that time, I faced severe loneliness & anxiety, so get-well-soon cards from friends meant the world to me because it showed that I wasn't alone. Knowing that thousands of
senior citizens are now experiencing social isolation
, putting them at risk of many
chronic health conditions
, inspired me to create this project.
What it does
You submit a letter through the site.
The letters then get printed out & sent to meal service centers for the elderly.
The letters are distributed into the food baskets to reach senior citizens.
Proof of Concept
Experience
: I started
Notes for Support
, a website with a very similar premise but targeting an entirely different group (COVID-19 patients & healthcare workers). So far,
I've printed & sent 2,200+ letters across 30 hospitals
in the US.
Connection
: A close family member is a volunteer at one of the senior meal service centers in CA & have confirmed that a program like this would be much welcomed.
Research
According to a fifty year study conducted by Harvard University, human connection is the single most important component of happiness. That's why the concept of sending physical, individual notes is so powerful.
How I built it
I first built a digital prototype out on PowerPoint. I then built the site with node.js & some other programming languages. I've already had experience using this framework so it wasn't a huge challenge, but thinking about the general format was quite difficult.
Impact
There is something so powerful in receiving a personal, physical letter -- it reminds you that you're not alone. This is something that I've experienced myself & through my other project (
Notes for Support
), had thousands of patients & healthcare workers experience as well. Loneliness can kill while a personal letter can save a life.
Challenges, Accomplishments & Lessons
The biggest challenge was definitely the time constraint -- I found out about this hackathon late & would have loved to add more features. However, I'm proud of pulling an all-nighter to finish this project. I learned to just go for it instead of contemplating if you have enough time.
Budget
Raised $1,500 USD for Notes for Support, a partner program.
What's Next + Value after the Crisis
Getting a domain & putting up the site.
Printing & sending the notes received to senior meal service centers!
Even before the pandemic,
senior citizens were always at risk of health issues associated with loneliness
. It is just that shelter-in-place has exacerbated the issue. After the crisis, this program will still be continued to support the elderly population.
Design: lachlanjc.
Built With
html5
javascript
node.js
Try it out
notesforseniors.now.sh | Support Notes for Seniors [V2] | You send a letter to a senior. We'll print & send to meal service centers for distribution. | ['gina c'] | [] | ['html5', 'javascript', 'node.js'] | 48 |
9,921 | https://devpost.com/software/relaunch | Inspiration
Our inspiration came from our passion and empathy to be an agent of solution and support to our communities and nation at this moment of uncertainty.
Research
Our research was focused on the challenges caused by the lock down sanction of government on households; we noticed trends that hindered households from having access to essential commodities like foodstuffs and medicine. that's what gave us the push to think of a tech enabled solution (ReLaunch) to address those challenges. We also researched on platform we could partner with and a suitable logistic company that can help in a nationwide delivery so people will stay home.
What it does
This idea is built using a platform model with three core transactions, it connect shoppers to supermarkets, connect patients to medical practitioners through our chat channel and a video channel that will be integrated soon and lastly, we crowd source funds through donations to help pay for food supplies and medicine for those who cannot afford it.
How we built it
We built it through, first doing a thorough design thinking sprint on our idea; to get clarity on the idea and to refine every concept, challenges and concerns that were raised. We obeyed the golden rule of developing a project that is founded on a ''Human Centered Design'' framework.
we took a step forward to create a prototype that guided us through the development phase of the project and at the end our idea gave birth to ReLaunch.
Challenges we ran into
We ran into some challenges as we worked on our idea; these includes the challenge of coordinating and working remotely from different locations, the resources to collaborate remotely. As we progressed we needed to make some adjustments; adjustment in the choice of technologies to deploy in order to give our project a near perfect execution.
Accomplishments that we're proud of
We are proud as a team to have accomplish this given the short period of time; we feel great because our late nights and all day engagement paid off with the result at hand.
What we learned
We learned that, we at anytime can contribute to a good course; if we our motivated by a conscious desire founded on empathy, love and selflessness for our communities and our human race.
What's next for ReLaunch
We intend to get funding from Venture capitalist who will choose to identify with us and give us the necessary support and motivation needed to make this project the next big thing in the tech ecosystem.
Built With
javascript
mongodb
paystackapi
postman
python
react
Try it out
relaunchng.netlify.app
github.com | ReLaunch | The idea is to give support to our communities through a tech enabled approach; The framework behind Relaunch is that of empathy, community support and essential business resuscitation. | ['Mi I', 'iClass Chima', 'Gracie-lab Abayomi', 'Paul Kolawole'] | [] | ['javascript', 'mongodb', 'paystackapi', 'postman', 'python', 'react'] | 49 |
9,921 | https://devpost.com/software/safe-zone-40qd1a |
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Safe Zone will be a free mobile app available via Play Store
This app creates a scanning zones around the user to detect nearby mobiles. It may then calculate their distance from the user.
The app also be used to detect vehicles, The user will hence be able to walk around safely even with his attention focused on his phone.
The appropriate distance from each other according to WHO World Health Organisation) is 6 feet or about 2 meters
My inspiration
In today's fast-developing society, people often have their attention focused on their mobile phones in various situations (e.g; walking on the street, going to the mall or other public places.). Consequently, people may not even realize when they are getting to close to one other. not respecting the social distancing may then increase drastically the probability of getting or spreading the viruses from one to another.
What it does
This app may use Bluetooth or Mobile-Hotspot to create a scanning zone around the user to detect nearby mobiles. By measuring the strength of the signal from each device, the app can then calculate their approximate distance from the user. The app will create a safe zone of about 6 feet around the phone. It will then informs the user by vibrating the phone or by sending a notification if someone comes to close.
How I built it
Currently, it is just an interesting idea and I haven't built it yet due to my lack of knowledge in programming.
This is why I'm looking forward to your help. DEVPOST being the greatest platform for innovation and development of software; your help will be the most welcome in the development of this app.
Further possible application of this app
1.An App for blind People
The app can be modified to detect obstacles (E.g; street lamps and buildings) as well as facilities ( E.g pedestrians crossing or road sign) such that blind people could move around safely and easily.
Small and cheap sensors such as Qr code can be added to those obstacles and facilities such that the app could identify them and inform the user of their presence.
2.Monitoring the evolution of the traffic congestion of pedestrians and vehicles
Vehicle and pedestrian Traffic Monitoring is also another important application as understanding the flow and congestion of traffic is essential for efficient road systems in cities. Smooth flows reduce journey times, reduce emissions, and save energy. Similarly, the efficient flow of pedestrians in an airport, stadium, or shopping center saves time and can make the difference between a good and a bad visit. Monitoring traffic - whether road vehicles or people - is useful for operators of roads, attractions, and transport hubs.
Monitor in real-time the number of vehicles passing for a certain point in highways and roads
Detect the average time of vehicle stance for traffic congestion prevention
Monitor average speed of vehicles in highways and roads
Provide travel times on alternate routes when congestion is detected
The monitoring system can also be used to calculate the average speed of the vehicles which transit over a roadway by taking the time mark at two different points.
Thes data can then be used for better management of traffic. By doing so vehicles can be distributed more efficiently across the different roads diverting some of them from the overused road to the underused one for a smoother flow.
The app can also be used to calculate the best path for a pedestrian such as to meet the fewer people possible on their way to their destination. By doing so, they minimize the risk of contamination | (((Safe zone))) | Safe Zone will be a free mobile app which will help in keeping a safe distance from each other. By using Bluetooth or mobile Hotspot. it will detect nearby mobiles and vibrate if someone come to close | ['Wong Piu Yee Christopher How Feng', 'Jalal L'] | [] | [] | 50 |
9,921 | 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'] | 51 |
9,921 | https://devpost.com/software/myfy | Inspiration
The COVID-19 Epidemic has completely transformed our lives. It has limited our abilities to do the things we love to do and placed a restraint on the places we can go. With people having constant fears about going outside the home for basic necessities such as grocery shopping, we knew there was a solution that would mitigate this risk. Along with this, we especially saw this prevalent in our community. This is where MYFY comes in!
What it does
MYFY is a web platform that enables safe travel for individuals both during and after the COVID-19 epidemic. It allows users to search for grocery items that they need and the application presents the user with stores near them that have the items in stock, prioritizing stores that are less densely populated to help YOU socially distance yourself. MYFY also gives you opportunities to help your community during these times. The elderly and immunocompromised are having the hardest time now as they cannot risk to go out and obtain essential goods. MYFY will automatically match you with members of your community that can assist you and will allow you to easily help in gathering essential items such as groceries for other people.
How we built it
To build the web platform, we used React JS, Redux, and Material UI for the crux of the project. For the backend of our project, our project takes advantage of Firebase Cloud Firestore. MYFY is highly data driven and the specific libraries are the Square API, Target API, Wholefood API, etc, along with the CDC Heatmap Dataset.
Challenges we ran into
One of the biggest challenges that we ran into our project would definitely be the communication aspect being with COVID-19, conventional face-to-face communication was not possible. This is where efficiently using version/source control software came in handy. Some of the other challenges we faced were API integration making it efficiently streamlining these sources of data into our application while also keeping the UI clean and simple.
Accomplishments that we're proud of
One thing we are very proud of is that we were able to come together as a team and complete a lot of work. Not only did we develop a working demo of our project, we were able to create an amazing UI and a video that accurately portrays our project. Most of all, we are most proud of being able to create an application that not only we will use but something that individuals in our community will also benefit from and use.
What we learned
We learned a ton of stuff when working on MYFY! This ranged from learning to effectively use GitHub for collaboration across our team and using various API integrations in a streamlined approach. Aside from the technical aspects, we learned a lot about video production and editing and were able to improve and gain new skills.
What's next for MYFY
The sky's the limit. We plan to continue to build out this application and work on our machine learning algorithm to effectively give suggestions to our users. One aspect we plan to expand on greatly is our volunteering feature. We want everyone in our community to participate in this and desire to expand this feature to help as many people as possible even after this lockdown and quarantine has finished.
Built With
cdc-dataset
javascript
material-ui
python
react
react-native
redux
square
target-api
tensorflow
walmart-open
whole-food-api
Try it out
github.com | MYFY | Smart Insights to Ensure Your Safety | ['Nithin Anumala'] | [] | ['cdc-dataset', 'javascript', 'material-ui', 'python', 'react', 'react-native', 'redux', 'square', 'target-api', 'tensorflow', 'walmart-open', 'whole-food-api'] | 52 |
9,921 | https://devpost.com/software/covid-impact | GIF
Apart from university, I run a fintech startup with several close friends, we were interviewing dozens of businesses when Covid-19 was just starting to spread in Canada, we kept hearing the same things from local business owners like:
“How am I supposed to pay my rent?” And
“My revenue is gone down the drain, I lost everything”
People were watching the news every day, waiting to see what’s gonna happen next
wondering when they could reopen shop?
COVID-19 is impacting countless small businesses across the world, it was clear that we all face the same uncertainty.
I got on a virtual call with my team, and we asked ourselves what can we do to help?
After an intense sprint of non-stop coding we put together CovidImpact, an open-source Small Business Care Package which features:
A curated list of programs to help businesses get the support they need to survive through the crisis.
Real-time news relevant to Canadian small businesses.
And a Simulation tool to assess how their business may be affected across various scenarios.
We made this project open source and were blown away by the response. Within a day of launching messages started pouring in, "hey I’m a university professor, let me help with analyzing the impact", "I have an analytics company, let’s tie it in", "hey, can I add a chatbot."
It was nothing short of heart-warming, seeing how, though we were all socially distancing, the entire community was converging. To see more details, check out the video presentation for this hack!
Built With
ibm-watson
javascript
predictive
sentiment-analysis-online
serverless
vue
Try it out
covidimpact.ca
github.com | CovidImpact | A Smart Care Package - Immunizing Businesses | ['Bolat Khojayev', 'Ali Serag El-din'] | [] | ['ibm-watson', 'javascript', 'predictive', 'sentiment-analysis-online', 'serverless', 'vue'] | 53 |
9,921 | https://devpost.com/software/neghlbouh | Seeing our country, as well as the whole world, having a battle against the Coronavirus has made us think of any possible way to help overcoming the situation. However, inventing a cure or a vaccine wasn’t something that we, the IT engineers can do.
Being stuck at home made us realize that maybe this is the best way to help our contry. If everyone can respect the rules and minimize the movement and getting out, we can reduce the outbreak and slow down the spread of the virus. But how so?
This is when the idea of “Neghlbouh” popped up in our heads. The project is a platform that organizes the people who get out of their homes and a bracelet to supervise sick people in the lockdown.
We provide a bracelet designed to track people’s movements. It allows the authorities to make sure that everyone coming from abroad or having contact with someone coming from abroad is respecting the quarantine. Equipped with GPS module, the bracelet is fixed on the hand of the person and sends an alert to the police in case its owner leaves the house.
Alongside with the bracelet, we have a website and a mobile app that helps the users to identify contaminated areas, to submit a request in order to go out to a public place, and much other functionality such as calculating the probability of getting infected or frequenting a sick person if going out to that place.
Making the concept of the bracelet was never easy especially in this current situation: we had a hard time trying to get the tools and the electronic components we need since every shop in town is closed and we cannot move between the cities. We had to make a prototype with what we had at home in the first day, until we finally got the chance to buy online what we needed and we feel lucky to receive it just in time. Another challenge we had was updating our platform since the internet was slow and we had some problems in the first days of quarantine in Tunisia. Thankfully and with the hard work of everyone in the team, we have overcome every difficulty.
Speaking of the accomplishments we have done, we are proud that we have upgraded our idea to be what it is today. At first and before getting into this hackathon, we have already thought of a website that can be used to make requests for going out. But thanks to the competition, we went really far and we felt challenged to make something bigger and to add the bracelet idea and the function of calculating a “danger rate” in our platform.
We learned how to make a prototype from what we have at home, how to work together with distance and to maintain the spirit of the team work despite everything. Last but not least, we learned that the love of our country can make us do magic.
What’s next? We aim that our project can cover to 80% of Tunisian land, and we want to move to the production of the bracelet. Neghlbouh will grow to be a national platform for every Tunisian subscribed. Until then, we will work on other functionalities such as helping sick people to buy groceries and need while they are at home.
Built With
.)
2
a
a-gps-module-(neo-6m)-and-a-gsm-module-(sim800l)-.-we-need-also-transistors-to-control-on/off-modes-of-the-modules-in-order-to-save-power-and-some-electronic-components-(capacitors
all
and
are
be
c++
c++.
communication
components
create
express.js
fixed
for-the-construction-of-the-bracelet
from
gps-module(neo-6m)
gsm-module(sim800l)
have
is
language
libraries:
location
micro-controleur-atmega8l
mongodb
node.js
on
perforated
pins
plate.
quartz(8mhz)
read
resistors
rx)
softwareserial.h
the
tinygps++.h
to
tx
used
using
vuejs
we
we-need-a-microcontroller-(atmega8l)-with-a-quartz-(8mhz)
will
Try it out
drive.google.com
drive.google.com | Neghlbouh | Plateform informs citizens about the danger in their area and helps them choose the right time to go out if they're obliged to+bracelet that helps authorities detect any breaking of the quarantine law | ['Hiba Mezni', 'Amine Feki', 'Amira Dridi'] | [] | ['.)', '2', 'a', 'a-gps-module-(neo-6m)-and-a-gsm-module-(sim800l)-.-we-need-also-transistors-to-control-on/off-modes-of-the-modules-in-order-to-save-power-and-some-electronic-components-(capacitors', 'all', 'and', 'are', 'be', 'c++', 'c++.', 'communication', 'components', 'create', 'express.js', 'fixed', 'for-the-construction-of-the-bracelet', 'from', 'gps-module(neo-6m)', 'gsm-module(sim800l)', 'have', 'is', 'language', 'libraries:', 'location', 'micro-controleur-atmega8l', 'mongodb', 'node.js', 'on', 'perforated', 'pins', 'plate.', 'quartz(8mhz)', 'read', 'resistors', 'rx)', 'softwareserial.h', 'the', 'tinygps++.h', 'to', 'tx', 'used', 'using', 'vuejs', 'we', 'we-need-a-microcontroller-(atmega8l)-with-a-quartz-(8mhz)', 'will'] | 54 |
9,921 | https://devpost.com/software/habittracker-il03d2 | Inspiration
We want to help people keep motivated and productive during the pandemic. Even though they're quarantined within they can still visualize their productivity using our web app.
What it does
It keeps track of people productivity. We have a 30-min interval timer "Timer" that people could deploy to focus on their habit. A habit tracker chart for people to keep track of their weekly progress. "Daily task" helps people memorize their tasks. "Scratch book" helps people jog down random notes. "Current score" keeps the total score of the person's productivity.
How we built it
We mostly utilized javascript, CSS, HTML.
Challenges we ran into
There are issues with timer's restart function. The user interface could be prettier if we have more time.
Accomplishments that we're proud of
We're able to create a demo within a short period of time
What we learned
Skills to quickly identify tutorial and learn from them
What's next for HabitTracker+
We would like to make a leaderboard to rank every user who uses this app, motivating more people.
Built With
css
html
javascript
timecircles
Try it out
habittracker-82983.web.app
github.com | HabitTracker+ | Web app develop to keep users motivated and productive during quarantine | ['katemao-151 mao', 'Mary Luong', 'MarcosZhang98'] | [] | ['css', 'html', 'javascript', 'timecircles'] | 55 |
9,921 | https://devpost.com/software/quick-covid-19-shopping-app | example of a store card that shows the store's name, type, and its stock (products it has)
Being able to filter the stores by the items
example of creating a new store
example of adding products to store when creating
example of the store editing card
Overview
Inspiration
in most of third world countries, people don't use online shopping, instead, they always have to walk to local stores and get what they need, which cannot be the best way ever to buy stuff, because they may not find what they want so fast and have to go to every store in order to get what they need, so I've built this app in order to make it easier for them to see the content of the nearby stores , which saves them time and effort.
What it does
It shows people the details about the nearby stores or shops such as: the store's name, type, location and the products it has in stock, also lets store owners add and manage their stores in the app, they can update, delete their stores at any time.
How I built it
I've built it by creating a whole new project from scratch, after i had the idea and concept in my mind, I've tried my best to convert the idea into reality. used new technologies that I didn't know before like firebase and non-relational databases.
Challenges I ran into
Having to learn how to use google maps api.
Finding the best ways to build the app with react without running into hard problems.
Building the back-end with node.js and fixing bugs that causes the server to crash.
Choosing between relational and non-relational database.(I've chosen none-relational db at last).
Making the app look beautiful using the material-ui components.
Fixing bugs that made me loose my sanity sometimes :)
Accomplishments that I'm proud of
Being able to build a fullstack real world app by starting from scratch by using React for the front-end, nodejs for the backed and Firebase for the database and authentication
What I learned
Learned about google-maps-api and being able to know how to use it.
Learned more about how to use React hooks.
Learned non-relational database with firebase's cloud db.
Learned how to make the app secure by using firebase's authentication system.
Learned how to debug react and nodejs errors properly.
What's next for Quick covid-19 shopping app
Adding more features that can make the app more dynamic and useful.
Porting the app to android and ios.
Making the app's backend more powerful.
Finding a team to develop the app even more and make it more ready to be used by everyone.
Built With
google-maps
javascript
node.js
react
Try it out
quick-covid-19-shopping-smakdour.netlify.app
github.com
github.com | Quick covid-19 shopping app | An app that helps people who can't buy online to make their ordinary shopping faster, safer and more efficient to help them avoid catching covid-19 and stay at home as long as possible. | ['Salah Eddine Makdour'] | [] | ['google-maps', 'javascript', 'node.js', 'react'] | 56 |
9,921 | https://devpost.com/software/stay-home-euvsvirus-hackathon-euvsvirus-c18 | „Stay Home“ is an app that helps people to deal with the social distancing.
Problem
During quarantine, people feel isolated, bored and miss the social interactions. Livestreams are a great remedy but they are scattered across all the social media networks and channels. It is very hard to find the content you are interested in and creators you can relate to.
Solution
Our app „Stay Home“ provides a platform for livestreams of all kinds of topics, which are organized by existing content creators like musicians or event hosts. Additionally, it encourages direct interaction in times of social distancing by offering workshops and class formats. Our impact is to keep alive the cultural life we all love.
On one hand, artists, who were using offline channels before the crisis, get a simple to use platform, which enables them to reach their audience and to build a new, online revenue stream. On the other hand, consumers are getting enternmaint and the ability to learn new skills to avoid boredom at home and fight depression or anxiety. Furthermore, our app offers the ability to tip your favourite artists to help them during these difficult times.
We also built a kids‘ version, which not only provides protection for our young culure lovers, but also teaches them a healthy media consumption. We do this by providing the tool to deliver children‘s content age-appropriate and giving parents the ability to monitor their kids‘ activities.
After the crisis, „Stay Home“ will help to open culural life to parts of the society, which don‘t have access to it. People who are unable to phyically go to an event will be able to join virtually.
We already designed a fully functional Adobe XD prototype for the main app and the kids‘ version, which can be easily coded within a few days. Here you can find our prototype:
https://www.youtube.com/watch?v=D6tGs7zHenk&feature=youtu.be
The next step is the programming of the app and the server-side application. We need help with both, but especially with the server application because it is technically more complex and exceeds our skill set.
All illustrations are self-made and designed with a lot of love. Also, we have already secured all the rights to use the used graphics from external sources.
The idea can be implemented at scale quickly. On the consumer side, we deliver a big user base from the beginning by offering our app free of charge. Users only need a device with internet access. Additionally, we will do a market research campaign to identify local markets, which feature a high cultural affinity and strategically partner up with local artists from these areas. This offers the perfect compromise of marketing results and affordability because of the geographical limition. Once, we have steady activity in a local market, we start a PR campaign in the country of the local market informing about our successful launch.
We are:
Andreas Hirsch and Valerie Behmer both communication designer
The URL to the prototype pitchvideo:
https://www.youtube.com/watch?v=D6tGs7zHenk&feature=youtu.be
euvsvirus
teamc18stayhome
COVID19
Communication
SocialGood
c18
euvsvirus
Socialpoliticalcohesion
Supportarts&entertainment
Built With
xd | Stay Home - EUvsVirus Hackathon #euvsvirus #c18 | „Stayhome“ is an app that helps us through the corona time. | ['Valerie Behmer', 'www.hirschandreas.de', 'Andreas Hirsch'] | [] | ['xd'] | 57 |
9,921 | https://devpost.com/software/coronavirus-tracker-app | Home screen of the app (United States view)
Notification when a user enters an area affected by the Coronavirus
Inspiration
I was initially inspired by the map put up by Johns Hopkins that visualizes all of the Coronavirus cases that are in the world. I thought that this was a great way to make people aware of the huge spread of the disease, but it didn't cater to people on the individual level. It was only a view on the macro level, so I decided to build something similar that people could use in their own localities.
What it does
The Coronavirus Tracker's home screen is a Google Maps display of the whole world that contains pins and circles which represent Coronavirus cases. The app basically tracks the user's current location and sends a notification to them whenever they enter an area that has been reported to have a Coronavirus case. The app sends a notification if the user walks within a 1 kilometer radius of the reported incident. Even though social distancing and self-quarantine has encouraged across the globe, there are still people such as deliverymen who are still needed to travel outdoors in the time of this pandemic. Therefore, this app helps people like these by making them aware of what areas to avoid when travelling around cities and towns. It aims to reduce the anxiety of such essential people and vulnerable populations by giving them a sense of awareness of the environment they are moving in.
How I built it
I made a Python script that scrapes the Coronavirus case global information daily in a CSV format off of the github repo of Johns Hopkins Coronavirus Center (
https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_daily_reports/03-04-2020.csv
) I then reformatted the CSV into JSON and pushed it to a Firebase Real Time Database via API calls. I used an API called Geofire which sends notifications whenever a user enters the radius of a certain location (latitude, longitude) using location data stored in Firebase. The app stores the user's current location in Firebase as well. I used the Google Maps and Utility library to represent the Coronavirus cases on the world map using heat maps and clusters. I coded the app with Java in Android Studio.
Challenges I ran into
There a few challenges I ran into. First of all the format in which the Johns Hopkins Coronavirus data was arranged in the CSV file was modified in the past 2 weeks, so I had to update my Python script accordingly. Also because there were so many Coronavirus cases in the data (over 3000+), the app would slow down immensely and even crash while trying to load all of these cases as pins on the map. I resolved by using Clusters which would group many cases together on the map based on zoom level, meaning the map wouldn't have to render all the pins at the same time.
Accomplishments that I'm proud of
I'm proud of the fact that I was able to implement this idea in a relatively short time. I only started with this idea 2 weeks ago when my college suspended all of its classes and now I have come up with a working model. I have streamlined my usual work pace in light of the urgent need of such an app. I'm also proud that I was able to successfully implement the Geofire API into my app, given that it didn't have too many resources online to go off of. Most importantly, I'm proud of the fact that I have built an app that has social impact and that can actually help people get through this current pandemic. I always strive to use technology to make the world a better place.
What I learned
I learnt how to integrate APIs other than ones that I'm normally used to implementing (official ones like Google Maps) into mobile applications and how to request location of users using the Google Maps API. I also learnt how to communicate with databases such as Firebase over REST API calls as well as reformatting and cleaning up large data sets.
What's next for Coronavirus Tracker App
Next, I want the app to also notify people when they have exited and moved within the radius of the Coronavirus case. This would give the users more information about the area that they are in. Since this app is designed for people who have to make the risky trips to grocery stores and restaurants, I also want to implement a feature that would tell people which grocery stores have which stocks of items available at the moment. This would probably have to be crowd-sourced information and this feature would once again relieve the tension of such people, saving wasted trips to empty grocery stores. I also plan to release this app on the Play store in the upcoming days to make some actual impact on people's lives.
Built With
android-studio
firebase
geofire
google-maps
java
python
xml
Try it out
github.com | Coronavirus Tracker | An Android app that notifies users when they have entered an area that has reports of a Coronavirus case. | ['Samrat Somanna', 'Moksh Nirvaan'] | [] | ['android-studio', 'firebase', 'geofire', 'google-maps', 'java', 'python', 'xml'] | 58 |
9,921 | https://devpost.com/software/anti-covid-hat | this is how the MVP I made look like
GIF
this is our Advertisement and more than 3000 people are aware about this product
Inspiration
It is claimed that “curiosity is the mother of invention”, this phenomenon best describes the path followed in the creation of the Covid-19 Helmet. On a rather normal day, my family was sitting after lunch following the latest Covid-19 developments. This is when my father suggested as an Engineer that I should think about something, which would help with the current situation. My father described a video he saw a video with a man using his apple watch that alarm with peep sound when he rise hand to touch the face. This is where the curiosity kicked in; one of the main reasons of Covid-19 infection is self-infection i.e. One touching face their own face with contaminated hands unintentionally. As human being we touch our faces 23 times/ hour, touching surfaces is too danger, but for Blue Collar workers it’s a completely different story who touch their faces on higher occasion sometimes even due to necessity of intense labor work so it’s clear that blue collar workers are at maximum risk of exposure.
What it does
The mechanism behind this device is that it works as a reminder to workers not to touch their faces; this reduces the chances of a primary self-infection but also secondary infection spread to other workers who usually work in close proximity. It initially will sound alarm when any object is near the face area, which reminds user not to touch the face, and help in enforcing social distancing. The helmet can be improved further more than the main valuable product (MVP) to be able to acquire data such as how many times user got alarmed ( that can be used in research on the relation between touching face more often and the chance of getting the virus). Moreover, it has multiple languages voice alarm, and I have plans to add recorded voice option in the future; these entire features are surely going to make workplace a more secure and stress free environment for the labor class.
How I built it
The design depends mainly on the IR obstacle avoidance sensor. There are Infrared emitter and receiver, which are places on the front part of the helmet. When any object is near the face area, it will reflect the infrared light to the receiver that will result in an output signal, which will activate the alarm cautioning the worker. I built it from simple components to keep it a low cost and high availability product so construction companies can consider it as an easy and accessible option. It runs on rechargeable battery to make sure that it is eco-friendly. Please check the link to visit our landing page to have more clear idea about the device
Challenges I ran into
I ran into many challenges during developing the idea of having a device to remind users not to touch their face. Using technology while keeping it low cost is hard task unless we have good design idea. There were a lot of designing phases such as the IR obstacle avoidance sensor on a mask, or neckless, to be able to cover the near the face. all were either not comfortable to convince worker to wear it, or expensive in term of connection. Finally, the last good idea was placing bot IR emitter and receiver near face area, and optimizing the best place to minimize number of sensor and have full near face area coverage.
Accomplishments that I'm proud of
What makes me proud about this device is that it provide comfort for workers, so they have a safe working environment where they can work with a stress free mindset under already very challenging environments.
What I learned and What's next for Anti-Covid19 Helmet
Finally, I learned, trailed, to discover ideas that would make the product a worthy invest even after the Pandemic, as this helmet will be a better choice for the construction companies than the regular ones. It will ensure that their blue-collar worker’s heath is safe, and the chances of infection by any virus or germs is reduced. Furthermore, it will develop healthcare knowledge between workers and allow them to develop more responsible and healthy habits. We are requesting 30000$ to cover the production marketing and distribution process. We need to invest in a specialized factory to help fast production during the pandemic
Built With
hardware
Try it out
maymona997.wixsite.com | Anti-Covid19 Helmet | Reduce the chances of getting infected by covid 19 between blue collar workers | ['Maymouna Ezeddin'] | [] | ['hardware'] | 59 |
9,921 | https://devpost.com/software/covid-19-contact-tracing-with-machine-learning | Inspiration
I just began Deep Learning courses last year and well it was quite interesting so i kinda stuck with it, well when the issue broke out all over the world and i heard do many places had to shut down my first thought was a lot of people will lose money. In the course i was taking i we just went over unsupervised learning k-means and i thought that is exactly what we need. we could ultimately deploy the machine learning algorithm on our phones to make them act like exposure detectors
What it does
The Idea behind it is too see if tracking peoples whereabouts can enable us to create k-means clusters where those with the highest chances of exposure are notified and are monitored
How I built it
In the slide attached are detailed steps into the construction
Challenges I ran into
I would say my biggest Challenge was the lack of skill, data.
What I learned
No matter your skill level just start
Built With
location-api
pytorch | COVID-19 Contact Tracing with Machine Learning | Imagine if there was a way we could accurately track and determine who most likely would be exposed to the virus. this could save a lot of Lives time and Money. | ['Obafemi Ogunkola'] | [] | ['location-api', 'pytorch'] | 60 |
9,921 | https://devpost.com/software/balancever-your-balanced-daily-routine | Brand
Our mission
Problem
Research
Research
Personas
The solution
Why?
Platform
Technology
Team
Inspiration
For many weeks several million people are in home office to slow down the spreading of COVID-19 and avoid our medical system to collapse. COVID-19 is not only a question about life and death, it’s also about the functioning of our economy and our mental and social well-being.
By moving our workplace from the offices to our homes, the boundary between work and life vanished. This can lead to long and lonely working hours and imbalanced life styles.
We had to stop hobbies and social interactions, throwing us into a new life situation. Many people struggle to structure their day and stay motivated. By the end of the day we feel mentally drained, physically exhausted and socially isolated.
What it does
We created a platform that can help structuring a work day effectively, provide suggestions what to do during breaks and free time and display a work-life balance score.
With Balancever you can generate a structure for your day, boost your efficiency and avoid long working hours.You can select diverse activities for your break and free time. Every users can also suggets ideas and share with their collegues and friends.
Find your online Yoga class, connect with friends for a coffee or browse through fun events. Balancever is a one-stop shop that helps you to shape your new remote lifestyle. Stay home, stay healthy, stay energized, stay connected, stay balanced.
How I built it
Design Thinking, Adobe XD, Adobe Illustrator, Adobe Premiere, Adobe Photoshop, Dreamweaver, Android Studio, Flutter, Firebase and Github
Challenges I ran into
Creating a solution for people that works in remote mode. The solution’s impact to the crisis is creating more connections where there is social distance, the product helps against the stress at home, help the economic system
Accomplishments that I'm proud of
Creation of a platform customized for desktop and mobile, with a engaging user experience. Integration of apps needed for wellbeing and events/activities.
What I learned
To transform remote working in smart working, you need to think about human well-being.
What's next for Balancever
After build it we have to populate it, create the content, be in contact with the online content creators (and we help the economic system at the end) and provide a product that can be improved by every stakeholders. Live video share events for peer to peer connect, sleep monitoring.
The value of our solution after the crisis
It's a product that you can always use, because help you to be in balance, working at home, working in the office. It's helpful for companies that will have employee more relaxed, more productive and in balance, for every workers, for everyone.
GitHub Repository
https://github.com/balancever
Prototype
https://xd.adobe.com/view/d0df8f06-659f-44ab-9e45-f67787fd553a-858c/?fullscreen
Mobile Platform User Experience
Link to see the first user experience:
https://youtu.be/-pULEcAUI2k
Follow us
https://balancever.eu
Built With
adobe-creative-suite
adobe-illustrator
adobexd
amazon-web-services
android
android-studio
design-thinking
firebase
photoshop
react
Try it out
xd.adobe.com | Balancever | Balancever is a platform to help remote workers improve their well-being and productivity by enhancing their work-life balance. | ['www.balancever.eu', 'Francesca Sanfilippo', 'Maurizio De Magnis'] | ['Challenge Winner', 'The Wolfram Award'] | ['adobe-creative-suite', 'adobe-illustrator', 'adobexd', 'amazon-web-services', 'android', 'android-studio', 'design-thinking', 'firebase', 'photoshop', 'react'] | 61 |
9,921 | https://devpost.com/software/psychological-first-aid-online | Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
Our Plan going forward/Business Plan
Built With
libraries | Helpers | Helpers Online | ['Prashant Jain', 'Anirban Biswas'] | [] | ['libraries'] | 62 |
9,921 | https://devpost.com/software/corovent | Faculty of biomedical engineering - long ventilation tests
Test on a pulmonary dummy
Test on an artificial lung
EU harmonized test report from official laboratory
First working prototype in a chassis (March 26th 2020)
30.4.2020 Update and Acknowledgment
CoroVent was selected among the challenge winners in the EUvsVirus Hackathon put on by the European Commission this past weekend, competing in the Respirator & Ventilators category.
The competition led by the European Innovation Council in close collaboration with the EU member states had over 9000 participants with 2163 competing projects in 37 categories.
One of the benefits of finishing among the best is the chance to participate in an upcoming "Matchathon" - matchmaking weekend bringing together winners, partners and potential investors.
This was gratifying to the CoroVent team to have recognition on an EU-wide scale, especially as we go into early internal production Sunday, and launch our full production of tested units for the public next week.
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Why CoroVent
We connected biomedical engineers with 25 years experience in Ventilator design together with Covid ICU doctors and manufacturing experts to develop in 6 weeks professional Ventilators optimized for protective care of Covid-19 patients with the most severe respiratory failures, satisfying all EU requirements to allow production of 500+ units per day starting from may.
Inspiration and motivation
When the Coronavirus pandemic hit Italy, we were terrified by reports that
doctors had to decide who got a ventilator (and so would get a chance to live) and who didn’t
, all because of a ventilator shortage.
Analysts predict that
880,000 more ventilators will be needed globally to cope with the coronavirus outbreak
. We knew that this would soon affect other EU countries, and so we would have to make our own.
On our initial call with Covid ICU doctors and biomedical engineers it became obvious that hacks based on bag-valve masks (Ambu bags) are useless for Covid patients, as sufferers require a very sophisticated ventilator (see
explanation video
)
All such ventilators on the market were too complex and not possible to make in large quantities (as they use unique components). We decided we needed a scaled-down version to the single mode best suited for Covid patients.
But there was no such simplified project anywhere, so we had to start from scratch. And since the pandemic created a rush on all related medical supplies, we decided to use components commonly employed in other industries rather than fight the demand.
What CoroVent does
CoroVent presentation (5:49) for ICU professionals
In accordance with design principles for protective ventilation, all of CoroVent’s basic ventilation parameters can be adjusted. There is currently one single ventilating mode implemented that was selected by Covid doctors as the best for their patients -
volume-controlled pressure-limited ventilation
. It is adjusted via a touch screen interface, specially designed with input from ICU doctors so they could easily understand it without need for extra training. Some other modes will be added later via software update, as soon as we verify their flawless operation.
Design
Scheme, technical description and key custom-made components are
publicly documented and open sourced
.
The design requirements as previously set out were (in no particular order):
No single point of failure
Connection to
hospital oxygen and air medicinal gas
systems, or operation with
gas cylinders
Electronic control system
Multilingual user interface via touch screen display
similar to those frequently used with medical ventilators
Alarm signalization
to flag inadequate ventilation, gas pressures, etc.
Integrated
power backup system
(currently ~ 180 minutes of operation)
Rugged design
suitable for use in temporary facilities
Increased resistance to various disinfectants and liquids
, both surface & penetration (IP21 test)
Adherence to the latest international guidelines
, such as
the UK released instructions
, was taken into consideration.
Parameters
Dimensions: 50 x 45 X 21 cm (w x h x d), weight 25kg
Power requirements (EU version) 100 V – 240 V / 50 – 60 Hz
Controlled/adjustable parameters:
VT volume (150-800 ml)
inspiration/expiration time ratio I:E 1:1 - 1:3,
respiratory frequency RR 10-30/min,
positive end expiratory pressure PEEP (0-30 cmH2O),
maximum inspiratory pressure Pmax (up to 65 cmH2O),
inspiration limit pressure Plim (15–45 cmH2O),
Oxygen inspiratory fraction (FiO2) 21–100 %
Measured parameters - Inspiratory volume VTi (ml), expiratory volume VTe (ml), inspiration/expiration time ratio, maximum inspiratory pressure Pmax (cmH2O), positive end expiratory pressure PEEP (cmH2O), ratio of inspiration time to total respiration cycle time Ti/T
How We Built the CoroVent
Our core team consists of 30+ members from over 20 companies and institutes -
prof. Ing. Karel Roubík, Ph.D.
, his assistants and doctoral students from the
Faculty of Biomedical Engineering of Czech Technical University in Prague
with over 25 years specializing in medical ventilation, doctors from ICU units, Czech and EU companies with huge experience in fast development and production of pneumatic/electrical components, together with other experts in logistics, project management, funding, medical certification etc.
Read the whole story as published in highly respected business journal “Hospodářské noviny”
.
From day one we all focused entirely on this project only, investing together over 35,000 hours of work to make it happen. We knew that the main issues were not about the ventilator itself (actually we had its design done in 1 week and the first working prototype the week after), but more the ability to manufacture it in large quantities and get all the necessary official tests to validate for non-medical device use in hospitals during this crisis situation.
The ventilator is assembled in a region with one of the highest unemployment rates in the Czech Republic by
Dawell
company, part of the
MICo Group
, that was a key part of our team. The design is made to resemble LEGO toys, easily assembled from building block components by trained workers in less than an hour, with logistics and manufacturing processes optimized by professionals. We have also signed an agreement with 3 other neighboring assembly plants used for production of automotive parts that had to close the operation because of Covid19 crisis.
We also focused on the very detailed testing of every unit, which takes up to 24 hours. Everything is subordinate to the key constraints: we need ventilators fast, but also need them completely safe for use with Covid patients, same as would be for the best ventilators on the market.
100% of our components are produced in EU/European countries
MICo Group (Czech Republic)
Beckhoff (Germany)
Festo (Germany)
Puls (Czech Republic, Austria, Poland)
and other companies from Austria, Switzerland, Sweden, Italy and Spain
Challenges We Ran Into
Our biggest hurdle was to find non-medical components that would work in a medical ventilator. E.g. standard valves would be tested over millions of cycles in a medical setting, which would make them nonfunctional after a few weeks of continuous in-and-out breathing cycles. They also exhibit lags and other behavior that is perfectly OK for use in cars and unrelated scenarios, but would kill the patient if used in a ventilator. We had to test tens of different models and brands until we found the ones that work as needed under proper constraints, or even had to persuade the manufacturers to make a special version for us.
The second challenge was to get enough components for planned units - we are not a big brand like Dyson or Tesla, and have not received any funding yet from CZ, EU or US, so it’s difficult to purchase enough up front. Several times it happened that we wanted some part that had up to a half million units in stock, but the following day none were left, as someone from General Motors came and bought them all up just in case they might need some for their ventilators later on.
This is an issue we believe the hackathon might address with the EU that could help us and others - that the EU should give priority to and protect projects like CoroVent that have specific social need along with proven design and working prototypes - by supporting critical component production and limiting exports from the EU as non-EU countries have been known to do.
Accomplishments that we’re proud of
Passing all the tests in official testing laboratory required by CZ and EU (see
test report
)
Great acclaim and support by the Czech public as our initial crowdfunding campaign for 10 MIO CZK
was exceeded by 40 % in just 18 hours
Fast development of 6 weeks as the project went from concept to design to 1st prototypes, test & production
Rapid team integration of relative unknowns from different sectors
Positive feedback from Czech government,
including the Prime Minister
Continuous positive Media coverage, including
Recognition from the EU Commission in the Czech Republic
Lead story on national Czech TV
Article in highly respected business journal “Hospodářské noviny” (“Economic News”)
What We learned
Medical parts will be exhausted in an epidemic
More generic parts are available, but often not up to medical demands or standards
Funding is less important than having in-country allies to shepherd through the acceptance process
Open specs can lead to shortages of specified parts, often leading to fewer overall machines produced and thus lives saved
What's next for CoroVent
Certification and/or usage exemptions in multiple additional regions, starting with other EU countries
Scale up the demand so we can fit the production capacity of 500+ pcs a day
Enhanced training of hospital personnel using short instruction video, et al. (even though design is largely intuitive)
UN support as well as targeted partnership with government entities
Eventually identify suitable parts alternatives to ensure supply
Price, funding, expenditure, business plan
current
team time investment
together 35.000 hours in last 6 weeks
costs for setting up the
production line, logistics
etc.: 1 MIO €
cost of material already on stock or paid in advance
(necessary for some parts we needed): 3 MIO €
crowdfunded 100 ventilators for hospitals in the Czech Republic (0.5 MIO € in less than 1 day)
other funding - not yet (all expenditures were covered by team members themselves without outside support).
production capacity
- 100+ pcs/day with one shift, 300+ pcs/day in current facility, 3 other neighbor facilities signed on for a total maximum capacity of 850+ pcs per day
service costs, etc. - should be covered by hospital contracts with their service organizations, we will take care of training, spare parts etc.
current
bare material cost per one unit
: ~6K € (price of some parts grew 4 times or more over the last 6 weeks due to high demand)
calculated price
(will vary according to demand, EU/national support and requirements from other countries), probably somewhere between 8000-10,000 €.
Current competition on the market
There is very limited competition as existing ventilators that can handle intubated patients with Covid typically cost $25,000 and $50,000 (e.g.
here
) but the demand is so high that you cannot buy them. Also because of their complexity it is impossible to produce them in large quantities. E.g. Slovak ventilator producer Chirana
a month ago promised only 300 ventilators for Slovakia - by the end of June
.
There are many other teams that wanted to produce usable ventilators, but they largely failed (e.g.
Dyson
), found that they chose an unsuitable design for Covid patients (e.g.
Valeo France
) or are still not up to production stage as compared to our CoroVent project.
We can save millions of lives
If you compare Covid mortality rate in countries where they got into trouble with ICU and ventilator capacity (Spain 10.25%, Italy 13.51%, United Kingdom 13.69%) to those lucky ones who were better prepared or set-up stricter restrictions (Germany 3.66%, Czech Republic 2.97%), you can see a tremendous difference.
Today (26.4.2020) we have 1.140 MIO confirmed infections in European countries (without Russia) and 119,000 confirmed deaths out of 620 MIO people. Even if we would determine that 50% of infected people were not traced, it means that fewer than 0.4% got through the illness. If it is true that
70% of the European population could be infected in the next few years
, we are still just scratching the surface. If we get our ICU’s better prepared and equipped with enough ventilators, we would lose “only” those 3% of those 70% of our 620 milions of citizens, not 13%.
And of course a similar situation exists outside Europe and we must help these as well if we want to help the world breathe again and restart its economies. So far CoroVent is the only viable project of this sort that could be produced quickly in large quantities, so that it will be in the hospitals when the new waves of pandemics arrive. And the
EU will take the credit, if you will help us scale the production
.
How EU and partners/organizers of this hackathon can help us
proper funding or orders could help us scale up production faster to decrease the price
help us be recognized by national authorities, hospitals, Ministries of Health… so that we can get their approval to use our ventilators in their hospitals and get their orders
help to get more national support for our component vendors in various EU countries, so that we can deliver more units faster
Built With
blood
sweat
tears
Try it out
photos.google.com
www.corovent.com
www.facebook.com | CoroVent | EU-tested ICU ventilator that offers patients with the most severe respiratory failures the same quality as top ventilators, optimized for mass production (500+pcs/day) using off-the-shelf components | ['https://www.corovent.com/team/', 'Tomas Kapler', 'PanVid Bill'] | ['Challenge Winner'] | ['blood', 'sweat', 'tears'] | 63 |
9,921 | https://devpost.com/software/access-md-vitals-checking-module | Notifications for new Patient Vitals
Notifications for new Patient Vitals
Questions List
Asking For Vitals
Patient Vitals Dash
Vitals Measuring Screen
Adding a Symptom
Notifications
Vitals Results Screen
ACCESS.MD Vitals Checkup
Background & Inspiration
We started the ACCESS.MD project at the onset of our local covid-19 outbreak. Our initial target was to create an easy-to-deploy and self host community-local Telemedicine app for healthcare providers that do not have infrastructure to follow up with remote patients so they dont leave home. We completed that initial project, satisfied with what we did, and started looking for partners to push it out with.
However, in our attempts to find partners and adoption, we kept coming back to the idea that medical supplies are in short order - whether its PPE and ventilators, Lab Equipment, or even simple things like thermostats. So we decided that we are going to try and help solve that issue.
This was especially true for SpO2 sensors, which are critical for the current Pandemic.
The vast majority of covid-19 patients are not in hospital. Even most patients who test positive are not checked into hospitals, and are instead ordered to stay at home for a few weeks to get better. Sometimes, they are sent home with some medical kits to monitor their status, most of the times, they aren't, especially for underprivileged/underserved communities and places where healthcare infrastructure is not mature enough to allow those logistics. This inspired us to look into the idea of making vitals measurement more accessible and more efficient.
We are passionate, we love a good challenge, and this seemed right up our alley.
What We Did
Combining approaches from academia and our own already existing open source solution, the ACCESS.MD Vitals Checking Module allows doctors to regularly check up on their patient's critical vitals of Blood Oxygenation, Blood Pressure, Heart Rate, and Breathing Rate using nothing more than a simple smartphone app that works based on image processing and signal processing techniques. Additionally, this information is shown to doctors using a dashboard, that allows them to monitor and evaluate the status of their patient and whether or not they are doing better - simply put, we put a doctor in every home, capable of evaluating and communicating more effectively with their patients, enabling doctors to do more with little resources. All Patients must do is place their finger on the camera and cover their phone's flashlight, and a measurement of their vitals will be sent to their physician for review.
What do we want to do next ?
What we want to do next is to iterate our idea to have a better accuracy rate, and to create more partnerships with medical professionals and providers to roll our solution out en-masse. We intend to target underserved/underprivileged communities and places where there is no telemedicine infrastructure or where it is difficult to provide devices for monitoring.
Additionally, We will be working closely with interested healthcare providers to manage their hosting and help them maintain the system up and running, in addition to rebranding to provider colors and logos, deploying to app stores, and providing training to physicians, nurses, and administrators in handling the system. We estimate that hosting will cost around 70-100 USD/year, depending on the price of IT Infrastructure at the time and the size of a deployment, based on the current pricing of our staging setup (which should handle up to 1000 patients estimated) .
Lastly, we intend to continue working on the project to become a fully fledged open-source primary care Electronic Medical Record, compatible with the WHO's primary care format (ICPC-2e), to allow interoperability with existing medical and insurance software, and to become a viable open-source option for providers wishing to have EMR and Telemedicine capabilities with few resources.
Built With
android
java
javalin
javascript
redom
Try it out
covid19-staging.kisoft.me
github.com | ACCESS.MD Vitals Checking Module | A Doctor at Home | ['Tareq Kirresh', 'Majed Nuseibeh', 'waleed Abu-Nafiseh'] | [] | ['android', 'java', 'javalin', 'javascript', 'redom'] | 64 |
9,921 | https://devpost.com/software/home-health-care-patients-tracking-application | Home Health Care Mobile
Home Health Care Sample Decision Support System
COVID-19 Risk Prediction Tool
Salesforce
The follow-up of Home Health Care and elderly patients is not made digitally and home health data is not processed data. This makes it difficult for the elderly patient to follow the situation. Healthcare professionals are obliged to learn the examinations, drugs and patient status previously applied to the patient during the patient visits. With the current COVID-19 outbreak, patient visits have decreased considerably. Since the patients in this group are in the highest risk groups of COVID-19, hygiene requirements during the visits complicate the maintenance procedures. In addition to this situation; Symptom monitoring of home care patients, people in the geriatric class (65 years and older) and potential / recovering COVID-19 patients should be done remotely.
First of all, the information necessary for the follow-up of home health care patients was prepared for information entry in the Android environment. Improvement was made in the Salesforce environment to retain the data. A website was prepared in RStudio environment by developing an AI based model for monitoring the health status of home health care patients. For the COVID-19 symptom follow-up, the data of 22,000+ COVID-19 patients were processed all over the world, and an website was prepared in RStudio environment.
The biggest challenge we face is to find anonymous data that we will use for decision support systems and to clean and make the data available.
In the later stages of the project, video speech, voice recognition and sensor and smart watch (Apple Watch) integration will be supported.
Built With
android
api
css
flutter
html
java
r
rstudio
salesforce
Try it out
dveshealth.com
twitter.com
www.linkedin.com
www.instagram.com
dveshealthai.shinyapps.io
dveshealthai.shinyapps.io
drive.google.com | HOME HEALTH CARE PATIENTS TRACKING APPLICATION | DVESHealth provides AI based home health & elderly care decision support and monitoring mobile / web / cloud solutions. | ['Berna Kurt', 'Mustafa Aşçı', 'Asım Leblebici'] | [] | ['android', 'api', 'css', 'flutter', 'html', 'java', 'r', 'rstudio', 'salesforce'] | 65 |
9,921 | https://devpost.com/software/remote-knowledge-testing-reflection | REFLECTION OF KNOWLEDGE
Inspiration
During the quarantine period, motivational tools for training are needed. Consistency in learning and reflection are the main parts of this process.
## What it does
It was necessary to test students' knowledge remotely.
How we built it
It was an amateur project. Volunteer development.
Challenges we ran into
Browser-based geolocation methods are used. The system is designed without design for users. We still need to work on this: streamline testing methods, adding online materials.
Students can take tests at the appointed time. It is possible to save their geolocation in the system.
Geolocation does not work accurately. In buildings, it is difficult to determine the presence of a student in the audience.
Accomplishments that we're proud of
We can make time limits, but we need to add flexible rules.
What we learned
Geolocation is inaccurate in a building with concrete floors.
What's next for Remote knowledge testing (reflection)
Refinement of positioning by other methods. Search for stakeholders in this study.
Built With
mysql7
php7
symfony4
Try it out
github.com | Remote knowledge testing (reflection) | A system that allows remote knowledge testing taking into account geo-positioning | ['Ganna Zavolodko', 'Valeriy Zavolodko'] | [] | ['mysql7', 'php7', 'symfony4'] | 66 |
9,921 | https://devpost.com/software/the-auger-network | front page
categories
technologies
about page
publish page
Inspiration
We are designing a future where providers of digital information within the SDG market are paid, resulting in a stronger middle class than ever before. Where the providers of raw materials ‘digital information’ are the new middle class at the back of a micropayment system, the futuristic economics. An ‘information age accounting’ that is complete and honest, ensuring that as much information as possible is valued in economic terms. The people who input the data used to improve predictions of how much electricity we need are anonymous and off the books. The act of cloud computing is shrinking the economy by pretending these people do not exist.
What it does
The Auger Network
will enable people who contributed, even minutely to a database that allows, say, an electricity demand prediction algorithm, to perform a task, then a nano-payment, proportional both to the degree of contribution and the resultant value, will be due to the person. So you might just engage in a virtual workplace, set up some sensors for your vertical farm, upload your DNA, all this information will end-up fuelling some algorithm because of your existence. And the list can go on across all SDG's and not just limited to energy used as an example. It also extends to all other exponential technologies as they converge with AI somehow in addressing the SDG's.
How we built it
The Data Marketplace was built with a suite of four technical tools, mainly; Ocean Protocol Commons Marketplace, NodeJs, Typescript and ReactJS. Our communications were primarily through Telegram.
Challenges we ran into
Exploring the API and ensuring that data is displaying elegantly and securely. Inconsistent energy availability during rainy summer days in Africa. Another challenge being timezone differences, switching between UTC and PST.
There were also issues regarding successful transactions through MetaMask and the Ocean Protocol Network leading to initial trouble in publishing and accessing datasets.
Accomplishments that we're proud of
Collaborating in building a future world of abundance, where everyone will be motivated to be open and generous with their data and get paid for it is incredible, I could not have asked for a better job. Doing that in alignment with the SDG's is like a cherry on top. “Skating where the puck’s going, not where it’s been” is super cool!!.
What we learned
On the technical side, we gained more experience with React Native and Typescript for building the front-end of the application and using the Commons Marketplace as a starting point. Generally, we have learned that if you put your heart into doing something and with the
right team
, you eventually succeed, as we were able to build this application by communicating entirely on the Internet. That "the future is faster than you think!" what we had on paper a few months ago, is coming alive like a blink!.
What's next for The Auger Network
We have only just begun, we are a long way out to reaching our vision. The team will commence further development of the platform and of course leverage off the Ocean family for other functionalities and tools. The project is also an incredible nudge for, fuelling the prevalent data question and starting rapid experimentation on how this new business model "post free service for data" will work.
Built With
docker
javascript
node.js
react
typescript
Try it out
github.com | The Auger Network | The Auger Network surfaces the AI data for UN SDG's across all exponential technologies. | ['B.K. Ngejane', 'Arvind Vivekanandan', 'Dickens Juma'] | ['Speedy Submission Bonus', 'CommOcean Bonus'] | ['docker', 'javascript', 'node.js', 'react', 'typescript'] | 67 |
9,921 | https://devpost.com/software/chinwag-rv3821 | Volunteer signup page
Inspiration
Amid the current outbreak, people are advised to stay at home. But some elderly people are isolated with no one to ask for help or talk to.
What it does
This system will connect elderly people to any volunteer with a phone call.
Give a call to
+18557725566
to connect to volunteers
OR
register as a volunteer at
http://chinwag.xyz/
We only support phone number from New Zealand, USA, and Malaysia only for now.
How I built it
Twilio Voice API
NodeJS
Firebase Cloud Firestore
Firebase Authentication
Challenges I ran into
Database design & business logic.
Accomplishments that I'm proud of
Making it work within 1 week from scratch.
What I learned
Firebase Cloud Firestore, Firebase Authentication.
What's next for Chinwag
Connect with local authority to deploy for local community with local phone number.
Built With
firebase
node.js
phone
twilio
voice
Try it out
chinwag.xyz
github.com | Chinwag.xyz | Crowdsourcing Support Helpline | ['Sulaiman Sudirman', 'Hoang Thanh Binh'] | [] | ['firebase', 'node.js', 'phone', 'twilio', 'voice'] | 68 |
9,921 | https://devpost.com/software/audio-respiratory-disease-prediction-dmk7wt | Inspiration
One of top 3 death causes by coronavirus Covid-19 is Chronic obstructive pulmonary disease brieflly COPD[4]. COPD' diagnosis happens by breath oscultation.
We would like to create an intelligent software that can provide medical diagnosis by just oscultating the breath recorded by a smartphone.
What it does
Predicts whther a recorded breath is healthy or is affected by some major pathologies such as COPD.
How we built it
The dataset is taken from:
Α Respiratory Sound Database for the Development of Automated Classification
Rocha BM, Filos D, Mendes L, Vogiatzis I, Perantoni E, Kaimakamis E, Natsiavas P, Oliveira A, Jácome C, Marques A, Paiva RP (2018) In Precision Medicine Powered by pHealth and Connected Health (pp. 51-55). Springer, Singapore.
Here is the pipeline:
1- 4k resampling
2 - filtering ebu normalization
3 - blind source separation
4 - segmentation
5 - noise removal with stacked denoising autoencencoders
6 - data augmentation via VAE / GAN && or ratation, shifting & padding
7 - mel spectrogram, gammatone spectrogram, wavelet spectrogram, optimized s transform each of 128x128. The resulting image is composed by stacking horizontally and vertically the 4 spectrogram images into a 256x256 color image. Another solution which gave better results was on working on novel 1D ad hoc modified ResNet especially designed for audio.
8 - hand made modified ResNet for classification
The code runs on google colab but will be soon released on github after the pre-print of the paper is uploaded on preprinting services such as ArXiv.
Challenges we ran into
VAE/GAN needs lots of data
the majority of reviewed papers use 70-30 split without using the official test set provided by the challenge. Thus they don't use a inter-patient separation scheme, revealing wrong results.
Accomplishments that we're proud of
The segmentation works!!
For the classification at moment I have 95% accuracy in binary classification (healthy vs pathology) with interpatient separation scheme testing on the official test set provided originally from the paper.
What we learned
Probably managing Audio deep learning as a 1D time series, instead of transforming it in images (as done in the majority of the research reviewed) is effective, but requires a specialized network architecture.
What's next for Audio Respiratory Disease Prediction
build a product but for now...
Here is the demo
https://159.203.68.29:5000
Since the https is not official, please click on proceed in any case (insecure).
Thanks
MEDICAL DISCUSSION
Cardiac injury is a common condition among patients with COVID-19, and it is associated with a higher risk of in-hospital mortality.The findings presented in the research on 416 patients in Wuhan, Shi and colleagues [2], highlighted the need to consider cardiac complication in COVID-19 management.
The patients with Covid-19 have respiratory distress and low blood oxygen levels, consequently they have high risk of ischemia or heart attack that compromises myocardial contractility and this situation can cause severe arrhythmia.
Respiratory diseases detection was conducted in the following way:
We used the data from paper [1]
Filter noise and remove background sounds
We used several segmentation techniques based on spectrograms of respiratory audio
Segmentation is necessary to understand when the first respiratory cycle starts.
We used a custom deep learning neural network to predict binary healthy/unhealthy patients using only audio recorded by smartphone
Developed a web service and web page to record and show the result.
The accuracy is tested on the official test set in [1]
Why is early detection of COPD important for covid19?
SARS-CoV-2 uses the angiotensin converting enzyme II (ACE-2) as the cellular entry receptor to infect the lower respiratory tract. ACE-2 expression in lower airways is increased in patients with COPD and with current smoking [3] .
ACE-2 is expressed in a variety of different tissues including both the upper and lower respiratory tract and myocardium. Importantly, nearly all deaths have occurred in those with significant underlying chronic diseases including COPD, and cardiovascular diseases
These findings highlight the importance of increased surveillance of these risk subgroups for prevention and rapid diagnosis of this potentially deadly disease.
References
1- Rocha, B. M., Filos, D., Mendes, L., Vogiatzis, I., Perantoni, E., Kaimakamis, E., ... & Paiva, R. P. (2018). Α respiratory sound database for the development of automated classification. In Precision Medicine Powered by pHealth and Connected Health (pp. 33-37). Springer, Singapore.
2- Shi S, Qin M, Shen B, et al. Association of Cardiac Injury With Mortality in Hospitalized Patients With COVID-19 in Wuhan, China. JAMA Cardiol. Published online March 25, 2020. doi:10.1001/jamacardio.2020.0950
3- ACE-2 Expression in the Small Airway Epithelia of Smokers and COPD Patients: Implications for COVID-19. Janice M Leung, Chen Xi Yang, Anthony Tam, Tawimas Shaipanich, Tillie L Hackett, Gurpreet K Singhera, Delbert R Dorscheid, Don D Sin. Published in European Respiratory Journal doi: 10.1183/13993003.00688-2020
4 - Halpin, D. M., Faner, R., Sibila, O., Badia, J. R., & Agusti, A. (2020). Do chronic respiratory diseases or their treatment affect the risk of SARS-CoV-2 infection?. The Lancet Respiratory Medicine.
Built With
html5
keras
python
tensorflow
Try it out
159.203.68.29 | Audio Respiratory Disease Prediction | Chronic obstructive pulmonary disease (COPD) is among top 3 causes of death for Covid-19. We want to detect respiratory diseases such as COPD, bronchiolitis and etc.. by audio breath recording. | ['Vincenzo Dentamaro', 'Lorenzo Diomeda', 'Tonio dent'] | [] | ['html5', 'keras', 'python', 'tensorflow'] | 69 |
9,921 | https://devpost.com/software/online-vendor-fsbi60 | Home Page
Sign in Page
Sign in Page
Google SignIn
Vendor Home Page
Vendor sell page
Vendor selling page
Vendor Home Page
Inspiration
Big and medium-size business is still functional they have the luxury of food delivery and supermarkets that are still active are practicing social distancing but street vendors are having a hard time.
What it does
It gives a platform to street vendors and small business to sell their stuff online.
How I built it
It is built using flutter (cross-platform) for both IOS and ANDROID
Libraries:
Firebase(for storage and authentication)
Google fonts.
Eva Icons
Bloc (for state managment)
Challenges I ran into
There are many challenges that I ran into for the time period (2 days) to come up with this application and to upload an image from mobile gallery displaying it on the application, sending it to the database.
Accomplishments that I'm proud of
This application
What I learned
What's next for Online Vendor
Will complete this application and the user will have the option of tracking their delivery
Due to the limited time I was not able to put the feature of placing order.
Built With
flutter
Try it out
github.com | Online Vendor | People who are most effected by this pandemic are street vendors . This platform provides street vendors an online medium to display and sell there stuff. | ['sarim khan'] | [] | ['flutter'] | 70 |
9,921 | https://devpost.com/software/virtual-classroom-92aw05 | example
logo
Inspiration
Ever since lockdown started, schools and universities had to adjust and give their courses online. However, the world of education wasn’t ready for it. Teachers are using video conferencing tools meant for business in order to give real-time classes. In a lot of cases, they had to change their teaching methods and prepare slides for the students to follow. Two of our team’s member mothers are teachers and their struggle is real. They can’t explain the lessons step by step by writing on the board like they used to. Moreover, they feel isolated and in some cases as if they are speaking alone because those video conferencing tools don’t feel quite interactive.
Our student friends feel the same way. The slides are boring to watch and in most cases, they aren’t really paying attention. Besides, not all courses can be explained well-using slides. In math and physics, for example, solving exercises step by step is essential to understanding the lesson. Stacking information and equations on slides feels overwhelming, even when slides are chunked up to small pieces. This is why successful online learning platforms and YouTube channels like Khan Academy and the Organic Chemistry Tutor explain by writing on a board step by step.
What it does
To solve this problem, our solution is to use an interactive whiteboard where teachers can write and draw on a virtual board to explain the lesson just like they do in physical classrooms. The board updates in real-time for all participants and teachers can assign students to write on the board as well. A chatroom and real-time video and audio streaming will be included as well just like the usual online conferencing. Very few applications have addressed this issue and included a whiteboard to their software solutions. Moreover, none of those solutions we found are free, which dramatically limits their target audience.
What’s more, the asset we consider to be the strongest in our solution is adding a private board. Every student will have a private board that’s only accessible to him and to the teacher. This allows the teacher to ask students to work on a problem individually and then check what they’re doing one by one. Moreover, the student can add participants to his board making it accessible to them as well, and this allows the teacher to group the students and make them work together. We haven’t found any solution yet that makes online learning as collaborative by including this simple asset.
One other major problem that teachers are facing in these times is the verification of the learning process. In real life, the teacher can ask the students questions frequently or give them a small quiz at the end of the session. But in these times of isolation, interaction is at its minimum. So we decided that our platform needs to include real time quizzes where the result can show up immediately and the teacher can get a sense if the class as a whole understood the concept.
All in all, we made sure the user interface is as simple and as intuitive as possible. After all, not all teachers are used to working with electronic devices. This can be surprising to some people, but even today, some school teachers, especially of older ages, have barely ever used computers before.
So far, however, we only have a prototype, considering the short duration of this hackathon. Not all features of the idea are complete and the code needs cleaning and fixing some bugs. We truly believe there is a need for our application though and we plan on working on it and completing it even when the Hackathon ends!
How we built it
To build this app, we used:
socket.io that relies on WebSockets for real-time communication.
Javascript, HTML, and CSS for Front-end
Node.js and Express.js for Back-end
MySQL for the database.
Challenges we ran into
We began to work on the quiz section via Node and Express.JS but soon we found that even for the simplest quiz programs to work, we needed a fully developed Database. The database took up most of the time of back-end development, but in the end, we were able to develop a fully working Database with a working API for students, teachers, classrooms, and quizzes. However, we had no time to combine it with the Front-end part.
Accomplishments that we're proud of
We developed the idea and started working on it all from scratch during this hackathon, which means in less than 3 days. Since we are a team of students with not much experience, we had a lot to learn in a short period of time and so we found ourselves stuck very often! However, learning all that in only 3 days does feel like an accomplishment.
What we learned
We learned how to use node.js, Git, socket.io, jQuery and Express.js in less than 3 days. It's amazing how much one can learn in such a short period of time!
What's next for Virtual Classroom
As this project is just a prototype for now, there's a lot of room for improvement. First, we need to add some essential features like the ability to clear the board and to write mathematical equations for example. We plan on adding real-time poll-like quizzes with instant results so that the teacher can get a feel of how well the students understand the lesson. Of course, we want to combine the database to the Front-end and then we can assign privileges to the teacher like allowing students to write on the board and checking students' private boards. We can also create a forum where students can ask questions and share files with the class at any time. Also, video streaming is only available for two users currently. The possibilities for improvement are endless.
Built With
bootstrap
express.js
javascript
mysql
node.js
socket.io
Try it out
mysterious-mesa-48650.herokuapp.com
github.com
gitlab.com | Virtual Classroom | Collaborative online classroom where the teacher can explain the lesson by writing and drawing on a shared canvas and students can work in groups using a private shared only with the teacher. | ['Rana Khoury', 'Alireza Khalilian', 'Mohamadreza Abasian'] | [] | ['bootstrap', 'express.js', 'javascript', 'mysql', 'node.js', 'socket.io'] | 71 |
9,921 | https://devpost.com/software/ambulance-crowd-avoidance-system-in-covid-19-pandemic |
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if (msg.type === 'video') {
// force a resize of the carousel
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Crowd Avoidance System, Red Triangle Shows Junction
Inspiration
Crowd sourcing Nowadays important Reason of Corona Spreading. but Today total lock-down situation we need to buy or check up in one place. so we have to plan to implement Tense free Social Distance in Every place.
What it does
In this project we have to developed Cellular Network Distance Simulator, it is maintain the distance with others based on their position and their mobility. This Concept mainly concentrate about crowd possibility junction like Hospitals , Grocery shop or Food Production area. Here our simulator work the principle of , if the two objects near to junction automatically one object speed of mobility increases and other mobility decreases like collision Avoidance System.
How I built it
using MATLAB tool, using full of Script ,it's Developed. so it easy to convert any real-time App.
Challenges I ran into
if social distance Threshold increases, Automatically the mobility of object also increases Tremendously.
Accomplishments that I'm proud of
Help to Covid-19 situation
What I learned
learned Cellular Node Mobility.
What's next for Ambulance Crowd Avoidance System in Covid-19 Pandemic
By using Mapbox get the position and speed of Ambulance/Object , Compute the Optimal scheduling time and Speed of Vehicle/Object to find with the help of server. Finally Create Crowd Free Situation Every-Where !!!
Built With
matlab | Ambulance Crowd Avoidance Simulator in Covid-19 Pandemic | Crowd of Patients in Hospital junction create the Corona Spreading Possibility and Mental Weakness of Doctors and Patients | ['AmburoseSekar SiluvaiRaj'] | [] | ['matlab'] | 72 |
9,921 | https://devpost.com/software/covid-19-patient-non-patient-risk-prediction-using-ai |
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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
)
}
});
};
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var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
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fjs.parentNode.insertBefore(js, fjs);
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RiskPredictionTool GUI
Confusion Matrix
Receiver Operating Characteristics
Optimization for minmize the (1-Accuracy)
Predict the Result of Patient Risk Level
Data Flow Diagram
Inspiration
Today , important of human health , we need solve two major problems. First one spreading Risk Factors of Covid-19 we must need to find and reduce and Second one Risk Factors of Covid-19 patients. Our inspiration simply we need to overcome pandemic era.
Problem Identification
Last one month i had search valid data-set for Covid-19 patients. But the meanwhile i have understood most of the data-base used for tracing and counting. so We have to planned a common Machine Learning tool for Reduce the Corona Spreading level based on their foods, medical history, social distance parameters.
The Risk Prediction patients based on their clinical check list. we have to plan a common tool for Prediction.
What it does
It's a common Tool GUI, The name itself , if you have local area patient checklist/attributes then easy to Train the Data using this GUI and finally predict the Risk level of Unknown Patients.
Train Data(Risk Level Known Patient) --> Feature Normalization --> optimized Feature Selection ---> Train The Classifier
Test Data(Risk Level Unknown)--> Normalization---->selected Features---> Predict the Result with the help of Trained Classifier.
In simple-ways, if you have your local area patient check list from that we have find the Risk prediction/Infection Chance. Most importantly , if we do in correct way, we will easy to find which are the parameters like foods and social distance type etc reduce the Covid-19 pandemic.
How I built it
using MATLAB GUI . Design and Evaluate the Performance
Challenges I ran into
Original Dataset Collection is complex. In this Data-set we have achieved 87% Training Accuracy and More than 75 % Testing Accuracy.
Accomplishments that I'm proud of
Initial Version 1.0 Task Completed
What I learned
We have already entered Covid-19 pandemic , The Process like Reverse Engineering by using Machine Learning reduce the impact of Covid-19.
What's next for Covid-19 Patient/Non-Patient Risk Prediction using AI
here up-to now , we have completed Simple level ML Tool for Risk-class Prediction. In Future we need to update both Risk Class and Values by using Fuzzy and so many AI Techniques.
Built With
excel
gui
matlab
tool
Try it out
github.com | Covid-19 Patient/Non-Patient Risk Prediction using AI | For Patient/Non-Patient Covid-19 Risk prediction like Infection Chance or Health of Patients | ['AmburoseSekar SiluvaiRaj'] | [] | ['excel', 'gui', 'matlab', 'tool'] | 73 |
9,921 | https://devpost.com/software/low-cost-smart-ventilators-rqxfjy | Prototype
MVP
PROBLEUM STATEMENT:
The cost of the ventilator is High and the ventilator Didn’t Handled By everyone. Difficult for Analyzing and Monitoring the ventilation of Patient. The Maintaining of Humidity and Temperature of oxygen level. There is no customized ventilator for covid19 patients, Ambulance and Rural areas.
SOLUTION
We have Designed Low cost & Smart ventilator that can Easily Handled by Everyone.Analysing and Monitoring the Patients and Get fully Automated ventilation process.Using Innovative Method for controlling the Humidity and Temperature of Oxygen in ventilators.We are specially provide the Customized ventilators for covid19 patients,Ambulance and Rural Hospital with Unique Portability,
With the extreme thirst of the world focussed on ICU Oxygen Ventilators (which are life savers in COVID 19 disaster), world demand for those overshoots production by 500% to 1000%.
2.With the extreme thirst of the world focussed on ICU Oxygen Ventilators (which are life savers in COVID 19 disaster), world demand for those overshoots production by 500% to 1000%.The Low Cost Smart Ventilators.And we are completed our prototype.
We have designed a ventilator at a cost of 8000 Rupees working on the basis of Squeezing the bag once every 5 to 6 seconds for an adult or once every 3 seconds for an infant or child provides an adequate respiratory rate (10–12 respirations per minute in an adult and 20 per minute in a child or infant).And Monitoring Humidity & Temperature of oxygen.
3.The cost of the product play a vital Role with competitive Products,
Customized Smart Ventilators specially for Covid19 Patients and Ambulance services,
Unique Features of Analyzing and Monitoring,
Innovative method for Controlling Humidity and Temperature of oxygen in ventilators.
We are selling our Product at cost of Rupees (8000-INR)/ 105 USD.
We are selling our product to Government and Private Hospitals
We will earn Money by selling our Non compromising Quality & Customer satisfaction
In the Beginning, our Market size may be Small but we can Assure you that our Market size will Increase definitely.
Ambulances services
. Smart and Cost Effective,
Customized ventilator for covid19 Patients, Ambulance and Rural Hospitals,
User Friendly (Handled by Everyone),
Analyzing and Monitoring the patients,
Analyse and Automated the Ventilation,
Innovative in Maintaining Humidity and Temperature of Oxygen,
High Performance and Portability.
Inspiration and Expiration Ratio adjustments and Tidal volume
Built With
health-2.0
healthcare
innovation
Try it out
docs.google.com
smartbackyardcreators.blogspot.com | Low Cost Smart Ventilators | We have Designed Low cost & Smart ventilator that can Easily Handled by Everyone.Analysing and Monitoring the Patients and Get fully Automated ventilation process. | ['Lakshmanan R', 'Raman R'] | [] | ['health-2.0', 'healthcare', 'innovation'] | 74 |
9,921 | https://devpost.com/software/autohealthia-qh | sample result
sample_webpage layout
AutoHealthIA
Language : Python
modules used : scikit-learn,pandas,numpy
Model : Decision Tree
Functionality file : bolt.py...<-run this to have the interaction
How it works
I primarily built this for Mental Health fitness but it augments other services such as distant health consultancy, accurate information provision and interactive chats with the user.
Utilization of an Artificial Intelligence system which incorporates automation through use of a task bot, Natural Language Processing capabilities with the use of a chat bot and all these fully interact with the users offering them highly required services. The additional functionalities here include the utilization of Natural Language Processing capacities, functional bots and its deployment to both offline and online platforms.
My inspiration - I had experienced (from relatives)and heard of innumerable stories of many people having mental health issues to the extent of committing suicide or even doing worse things to those surrounding them. With this heightened fear caused by the corona pandemic, such cases are rapidly increasing and if not careful enough we may lose our loved ones. Common disease awareness should also be provided to citizens to avoid panicking at such times.
My Lesson - Includes but not limited to: People cherish the little talks we always have and if it's taken then things get bad. Most experiences start chipping in and decisions could be made.
Building Technique - It's fully programmed in python. First , made the decision tree which trains progressively(I'd like to improve this to a random forest algorithm later on).Then from there I built the user case scenarios for diagnosis, health talk, consultancy and information services.
Challenges - I wanted to do a the whole backend functionality on a web app but I figured it'd drag me a little. Linking the user to an health officer who isn't officially informed of her services. Deciding on whether to create an app or a website, so I went ahead and did the official functionality.
Built With
ai
data
datascience
ml
python
Try it out
github.com | AutoHealthIA-QH | Did you know that out of every four people at least one is a victim of mental health. Well this could rapidly increase due to this situation. That's why I present to you this effective : AutoHealthIA. | ['Billy Gareth Otieno'] | [] | ['ai', 'data', 'datascience', 'ml', 'python'] | 75 |
9,921 | https://devpost.com/software/charge-that-makes-eaiser-our-life | Inspiration
Our inspiration was when we had this virus everybody tried to go somewhere to buy something and manifacture should have continue we thought about farmers and new world order.
What it does
When you use this charge you can charge your car, your tractor and everything in your home.
How we built it
First we made a little prototype by solar panel and we saw steps of making an electrical car. We learned calculation of charge of electrical and electronical . Now our plain ; we will use laptop batteries to make this new battery
Challenges we ran into
We do not have many so we are looking for sponsorships but economi is very badly because of covid-19
Accomplishments that we're proud of
This idea can not do before us this can be a revolution for us.
What we learned
When my team is together everything can possible.(And too many calculation)
What's next for Charge that makes eaiser our life
First step was making a prototype with solar panel then we will make it by battery | Charge that makes eaiser our life | We will make a compatible battery for every technological tool. | ['Aleyna Yıldız'] | [] | [] | 76 |
9,921 | https://devpost.com/software/goodneighbor-jeu4wz | Filling survey
Export of survey results before going to doctor
Asking help
Overview of people looking for help
Links to other pages for better due dillingence
Registration to the platform
Login to the system
Inspiration
During the out-break of Corona many people stayed home due to worries about their health status. This brings disconnection from the world around them. We try to introduce a platform which brings good will people together to support each other.
Secondly, during corona crisis are hospitals and medical staff overloaded with work. They have to ask similar questions always about the patient symptoms. We try make this work easier, by helping the doctors to their assessment. Patients can fill every-day a health status which provides an overview of their status and how it evolved over time. This can be of a great help and you can bring to your doctor during the visit.
What it does
The platform currently features aim to solidarity with our neighbors by offering and asking help. After successful registration, we are able to post our requests for help e.g. pick up groceries and medicine. Each request has own level of urgency. Finally, we show a survey which is bounded to the user and contains various questions. These questions asses patient's health status over time and ask questions regarding body temperature, travelling and respiratory issues.
How I built it
The application runs on Python (v3.5+) Flask framework (v.2+) and uses Google Maps APIs. It is an open-source project and we are actively searching for developers. This stack provides easy usability after deployment not only on desktops but also on mobile devices. We focus on security and try to deal with users private in a secure manner by ensuring their secret information are stored using robust and secure cryptographic library based on state-of-the-art cryptographic algorithms.
Challenges I ran into
Finding trustworthy resources online is challenging, but fortunately scientific publications provide good insights. These are used to build the questionnaire [1]-[4].
What I learned
WE learned more about Corona crisis and its spread in the world. We try to give back our share to the community and share knowledge and exprience we gained. To add, we also improve our programming skills by and creation of deployable solutions (WebApp) which can help in the future.
What's next for goodNeighbor
The goodNeigbor application is in close to an adoption and requires few minor changes to start to work. A few cool features could be:
UI/UX improvement
Update questions
Localization
Hosting
Instant messaging between members
Review system
We are looking for developers who can help me realize our ideas!
References
[1]
https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html
[2]
https://www.who.int/health-topics/coronavirus#tab=tab_1
[3]
https://www.livescience.com/coronavirus-symptoms.html
[4]
https://www.nature.com/articles/d41586-020-00984-8
Built With
bcrypt
flask
google-maps
python
sqlalchemy | goodNeighbor: Platform to track own symptoms and local help | Our main goal is to create a platform that helps people in need with the help of local communities during the Covid-19 outbreak. To add, we also try to help people to track their symptoms by surveys.. | ['Filip Rezabek', 'Eomji Park'] | [] | ['bcrypt', 'flask', 'google-maps', 'python', 'sqlalchemy'] | 77 |
9,921 | https://devpost.com/software/eb2b-hub | As a result of the current situation of virus spread and the disturbance in worldwide business, Companies are looking for ways to enhance their market reach with little or no physical interaction.
The need of Cloud-based B2B platform has emerged to enhance the daily tasks of sales/ purchasing departments.
Allowing Managerial levels to monitor and track businesses processes remotely.
The idea is to create a B2B online platform, a combination of e-commerce, e-procurement, e-tender and e-auction where companies can offer their products/services but in a special way where each company can promote their offering by providing audio/video speeches about their service or success stories of how their product succeeded in enhancing the business of a client. The speeches are public and can benefit the market and enable businesses to better understand the benefits of each service/product.
This Platform will enhance the B2B cycle from targeting customers to closing deals going through meeting, marketing campaigns, Online payment, exchange papers and signing contracts with the minimum physical interaction as possible.
Any company can be a buyer and a seller in the same time.
Built With
.net
bootstrap-4-framework
c#
css3
html5
iis-web-servers
jquery
media-query
mvc-framework
mysql
parallax
postgresql
postgresql-bootstrap-4-framework
responsive
restful-web-api
restful-web-api-windows-server-with-microsoft-sql-server
sass
swiper
umbraco
vb.net
windows-server-with-microsoft-sql-server | eB2B-Hub | B2B platform to facilitate online selling and purchasing services and products between companies to minimize physical interaction as most possible. | ['Abanoub Nashaat'] | [] | ['.net', 'bootstrap-4-framework', 'c#', 'css3', 'html5', 'iis-web-servers', 'jquery', 'media-query', 'mvc-framework', 'mysql', 'parallax', 'postgresql', 'postgresql-bootstrap-4-framework', 'responsive', 'restful-web-api', 'restful-web-api-windows-server-with-microsoft-sql-server', 'sass', 'swiper', 'umbraco', 'vb.net', 'windows-server-with-microsoft-sql-server'] | 78 |
9,921 | https://devpost.com/software/behale | Inspiration
bnn
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for
Built With
angular.js
bootstrap
css3
firebase
html5
ionic | nm | bn | ['Michael Quaynor'] | [] | ['angular.js', 'bootstrap', 'css3', 'firebase', 'html5', 'ionic'] | 79 |
9,921 | https://devpost.com/software/remote-elderly-home-care-via-privacy-preserving-surveillance-tzp2ab | Privacy Preserving Person Face Detection at Home
Plug and Play AI Device Discovery
Person Detection Indoors
Home Page
Person Detection Outdoors
Inspiration
COVID19 isolated at home many of us, including our elderly parents and grandparents. Not being able to check on them regularly elevates the risks that they are exposed to such as falls, gas leaks, flooding, fire and others.
What it does
Ambianic.ai is an end-to-end Open Source Ambient Intelligence project that removes the stigma associated with surveillance systems by implementing privacy preserving algorithms in three critical layers:
Peer-to-Peer Remote access
Local device AI inference and training
Local data storage
Ambianic.ai observes a target environment and alerts users for events of interest. Data us only available to homeowners and their family. User data is never sent to any third party cloud servers.
Here is a blog post that goes into the reasons why we started this project:
https://blog.ambianic.ai/2020/02/05/pnp.html
And here is a technical deep dive article published in WebRTCHacks. It clarifies that it is absolutely possible to build a privacy preserving surveillance system, despite popular cloud vendors making us believe that all user data belongs safely on their cloud servers:
https://webrtchacks.com/private-home-surveillance-with-the-webrtc-datachannel/
How we built it
Ambianic.ai has 3 main components:
Ambianic.ai Edge: a Python application designed to run on an IoT Edge device such as a Raspberry Pi or a NUC. It attaches to video cameras and other sensors to gather input. It then runs inference pipelines using AI models that detect events of interest such as objects, people and other triggers.
Ambianic.ai UI: A Progressive Web App written in Javascript using Vue.js and other front end frameworks to deliver an intuitive timeline of events to the end user.
Ambianic.ai PnP: A plug-and-play framework that allows Ambianic UI and Ambianic Edge to discover each other seamlessly and communicate over secure peer-to-peer protocol using WebRTC APIs.
Challenges we ran into
Challenges include selecting high performance, high accuracy and low latency AI models to detect events of interest on resource constraint edge devices.
Another challenge is taking into account user local data to fine tune AI models. Pre-trained models can perform reasonably well, but they can be improved with privacy preserving federated learning on unique new local data.
Accomplishments that we're proud of
Ambianic.ai has been in public Beta for several weeks helping a number of users in their daily lives. Some users report success in keeping an eye on their elderly family members:
https://twitter.com/mchapman671/status/1230931722650423299
What we learned
Although the project sets ambitious goals, there seem to be sufficient enabling Open Source frameworks and community momentum to drive the ongoing success.
What's next for Remote Elderly Home Care via Privacy Preserving Surveillance
We need to work on these major areas:
Recruit volunteers in the home care community to test the system and provide feedback
Select more models to address open use cases such as fall detection, gas leaks and others
Work on implementing Federated Learning infrastructure to fine tune initial pre-trained models.
Built With
javascript
pwa
python
raspberry-pi
tensorflow
Try it out
docs.ambianic.ai | Remote Elderly Home Care via Privacy Preserving Surveillance | COVID19 isolated at home many of us, including our elderly family members. Left unattended they are prone to risks such as falls, gas leaks, flooding, fire and others. | ['Wong Piu Yee Christopher How Feng', 'Nasr Galal', 'hira khalid', 'Ivelin Ivanov', 'Björn Kristensson Alfsson', 'Srujana Munamala', 'Cassie Hudson', 'Samad Ahmed', 'Shashwat Prasad', 'vatsa srivastava', 'Priyam Gupta', 'Ali Hussain', 'Peter Gelderbloem', 'Abdullateef Almohamad', 'Alexis Leveratto', 'Chukwuemeka Ome', 'mahak bisht', 'jitendra kumar', 'Yusuf Suleiman', 'Jackline Mboi', 'P. Nair', 'Nurudeen Hamdana Kankia', 'King Adedoyin', 'Yana Vasileva', 'Kevin LOGNONÉ', 'Michael Quaynor', 'Meghan A. Lockard, Ph.D., P.M.P.', 'Lavanya Chellam', 'ayush kasera', 'henchik _', 'pattern project', 'Anshuman Sharma', 'Mahima Mallikarjuna', 'Yen Low', 'Amit Dandawate'] | [] | ['javascript', 'pwa', 'python', 'raspberry-pi', 'tensorflow'] | 80 |
9,921 | https://devpost.com/software/notes-for-support | Submit a note page
How our project works
Homepage
https://www.notesforsupport.org/
Inspiration
Two years before the Coronavirus pandemic (during freshman year of HS), I was in quarantine for about a month due to a rare eye disease. During this time, I felt an overwhelming amount of loneliness and disconnection from the world, so receiving cards from friends and family meant the world to me. I want to use my project to help the thousands of people who need it the most right now.
What it does
Through this website, anyone can anonymously write an encouraging note to a healthcare worker or coronavirus patient. Once enough notes come in, they will be printed and shipped to hospitals to be distributed to one medical worker or patient.
Accomplishments that I'm proud of
I launched this site a few days ago, &
so far, 1400+ cards have been sent & we are partnered with 13 hospitals around the US!
Why does it work?
According to a fifty year study conducted by Harvard University, human connection is the single most important component of happiness. That's why the concept of sending physical, individual notes is so powerful.
Currently, one in two health care workers are struggling with depression amid Covid-19 and many patients have to die alone due to the infectious nature of the virus. Hence, for health care workers and patients, receiving an encouraging, personal message can mean the world.
And beyond this, this is free, quick, and no personal information is required, meaning that
anyone
can contribute to the COVID-19 effort.
How I built it
I edited and designed all the graphics on Canva & PowerPoint, then created the site on Wix, using a little bit of HTML along the way.
Challenges I ran into
Balancing high school & this project and learning how to use the resources I have (PowerPoint, Canva & Wix) to create a website and a video!
What's next for Covid Support
Creating software that will automate the sorting of messages by their hospitals.
Built With
canva
html5
powerpoint
wix
Try it out
www.notesforsupport.org | Notes for Support | Anyone can send notes of encouragement to COVID-19 patients & health care workers, which we'll print & send it to hospitals! | ['gina c'] | ['Second Place - Donation to cause or non-profit organization involved in fighting the COVID crisis'] | ['canva', 'html5', 'powerpoint', 'wix'] | 81 |
9,921 | https://devpost.com/software/thehelper | Inspiration
We have got the idea after seeing all the elderly in need during this pandemic. People who do their groceries weekly going to the market to see the shelves empty. Seeing the sad look on the face of hundreds of workers who are getting paid for a day job.
What it does
TheHelper is a platform to link people who need help and people who are willing to help either by volunteering or by doing a paid task.
TheHelper can raise money for the people in need and bond communities.
How I built it
We are working on building the website first and then move on to mobile and tablet applications
Challenges I ran into
lack of time and small experience in development, poor financial support to recruit developers
Accomplishments that I'm proud of
seeing people interested in the ideas and encouraging us to build and improve it.
What I learned
I have learned that every hard work that has a good impact on others is worth the time and effort put into it no matter how long it will take.
What's next for TheHelper
finish developing the platform, sharing it, adding new members to the team, adding and updating services in the platform.
Seeing TheHelper rise and improve people's lives and get closer as much as possible to people in need and most importantly seeing the Impact.
Built With
css3
firebase
html
html5
java
javascript
sql | TheHelper | help and support people in need | ['AFAF OUSSETTI'] | [] | ['css3', 'firebase', 'html', 'html5', 'java', 'javascript', 'sql'] | 82 |
9,922 | https://devpost.com/software/qr-cart | Inspiration
During COVID 19 all of us are in quarantine and all of us already experienced queuing in front of supermarkets. Some supermarkets use tracking mechanisms like chips or enforce people to use the limited number of shopping carts they have. This brings a higher risk of infections for customers and the personell as well as costs time and money for the economy. That's why we wanted to intelligently coordinate customers behaviour in order to fully eliminate the queues, the need for any contact with physical objects and have as much flexibility for customers as possible.
What it does
We developed an intelligent online reservation system that let customers reserve timeslots as well as keeps track of walk-in-customers. Customers can easily see the crowdiness of the supermarket online and reserve timeslots, even quite short times before their shopping. As we use a sophisticated algorithm in order to plan capacity towards demands it balances the number of walk-in customers with the allowed reservations in each slot in order to prevent the store from being overcrowded.
The security personell gets an app or wearable device in order to track customers and check reservations using a scanner. This eliminates the need for any physical object during the reservation process and reduces human contact.
How we built it
We created a java server, react frontend and Android App with Kotlin Multiplatform. The Android app integrates a connected scanner wearable that allows to scan barcodes from a long distance.
The frontend and backend are deployed using docker and made available behind an API Gateway and Cloudfront to be prepared for scale.
Challenges we ran into
One of the biggest challenges in capacity planning is having a good algorithm to balance the ability of short-term reservations with the ability to just walk into the store without a reservation. As a store owner it's in his interest that people can also come spontaneously if possible, but we want to reduce queues as much as possible. That's why we needed to develop a good system that allows both: Short-Term reservations online and walk-in customers to use the capacity as good as possible. To achieve that goal we used live technology and a pessimist algorithm that calculates how many new walk-ins are allowed at a certain time and how many short-term reservations are allowed in the same time-frame.
Accomplishments that we're proud of
One extra bonus feature was to integrate a wearable barcode scanner into our app. It improves the scanning distance between a customer with a reservation and the security personell as the scanner can scan a longer range. Additionally the security personell has free hands and does not need to hold his phone all the time, which can be useful in cases of helping others or old people to get into the store.
What we learned
Complexity of timetable planning
The power of Kotlin + Kotlin Native
Maps UI
Integration of wearable devices
What's next for QR Cart
We want to talk to supermarkets about the demand in the market and if so bring it to production.
Built With
bluetooth
java
kotlin
kotlin-native
react
Try it out
qrcart.goma-cms.org | QR Cart | We want to eliminate the queues in front of shops and supermarkets during COVID 19. We do that by an intelligent reservation system to coordinate and predict shopping behaviour. | ['Johannes Schleicher', 'Daniel Gruber', 'Jonathan R.', 'Gilles Tanson'] | ['Business', 'Overall Winner'] | ['bluetooth', 'java', 'kotlin', 'kotlin-native', 'react'] | 0 |
9,922 | https://devpost.com/software/poolparty-overcome-testing-capacity-with-information-theory | GUI with some strategies
Quick introduction
COVID-19 has been taking over the world like a wildfire and the economies of countries have succumbed to it. One of the main reasons being inefficient testing strategies. Not only does a country need high testing capacity but also faster testing capability. With a faster and efficient testing strategy, a country knows where it stands amidst this pandemic. For instance, South Korea in the first week of its critical period had already conducted 300,000 tests, establishing 600 test centers across the country. It had halved the number of infections in just a week [1]. On the other end of the spectrum, Italy and USA has/is failing to cope up with the pandemic. So much so, Italy could not keep up with the pandemic because they did not know where they stood in the curve because of the inefficiency in testing samples. The delay in testing has and is still costing lives [1-3]. The take-home message from these scenarios is that high capacity testing provides more information upon which a country could take a standpoint and act in preparedness. So, we propose a strategy for efficient testing of SARS-COV-2 by sample pooling.
Practical Mumbo-jumbo
RT-qPCR is a diagnostic technique used for the detection of COVID-19. It is powerful, sensitive and efficient. But the detection strategy is not efficient enough. A single pack of commercially available testing kits can be used for 200 such tests. With high demand, the manufacturers have a hard time dispensing sufficient kits and the laboratories have a hard time testing multiple samples. The sensitivity and specificity of the technique is 94% and 96% respectively [4]. The current strategy till now is to use single reactions per each sample (200 tests per kit). Our strategy is to pool multiple samples together for better data obtainment.
Some data on the infection
The severity of the viral infection is characterized by its number of RNA copies in the patient sample. Clinical samples have shown around 1.6 x 106 RNA copies/ml [5]. The minimum amount required to analyze the sample is 2000 RNA copies/ml [6]. This would technically mean that we could dilute a sample 800 times and still be able to detect it. Pooling multiple samples would dilute the samples, but within a certain range would still be detectable. A test concluded that an interpretable signal was obtainable by pooling 31 samples together [7]. For a good strategy design, we would require as many trustable data we could get. The sensitivity & specificity, False Positive and negative rates of RT-qPCR, real-time statistics of the infection in a country, and we hope to also design a strategy based on the symptoms. Currently 90% of the patients display symptoms of fever, 75% cough, 40 – 70% fatigue and 20 – 25% fluid secretion (sputum) [8].
Inspiration
Faster detection of the infection could save lives. Recently, a study done in New York City stated that they could have saved 50-80% of the lives if they had acted a week faster [9].
What it does
Evaluates performance of many pooling strategies based on RT-qPCR model test simulations.
When is it used?
Our strategies seem to be much more efficient when is practiced at the very early and late stages of the infection when the prevalence is low.
How we built it
We took a completely scientific standpoint - took all of data from real-life situations with the least assumptions possible - optimized the strategy by figuring out the error rates in RT-qPCR - GUI approach.
Challenges we ran into
Literature review and missing parentheses, which was pretty annoying.
What's next for PoolParty?
Trying out more strategies and add more parameters (like symptoms. age, etc.) based on the current statistics for better optimization.
References
https://www.globalgovernmentforum.com/lessons-from-the-frontline-how-to-stop-the-spread-of-covid-19/
https://ourworldindata.org/covid-testing
https://www.euronews.com/2020/04/01/covid-19-numbers-stabilising-but-more-testing-is-needed-says-italian-health-ministry
Alvarez-Martínez, M. J., Miró, J. M., Valls, M. E., Moreno, A., Rivas, P. V., Solé, M., ... & Zar, H. J. (2006). Sensitivity and specificity of nested and real-time PCR for the detection of Pneumocystis jiroveci in clinical specimens. Diagnostic microbiology and infectious disease, 56(2), 153-160.
Wang, W., Xu, Y., Gao, R., Lu, R., Han, K., Wu, G., & Tan, W. (2020). Detection of SARS-CoV-2 in different types of clinical specimens. Jama.
Corman, V. M., Landt, O., Kaiser, M., Molenkamp, R., Meijer, A., Chu, D. K., ... & Mulders, D. G. (2020). Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Eurosurveillance, 25(3), 2000045.
Yelin, I., Aharony, N., Shaer-Tamar, E., Argoetti, A., Messer, E., Berenbaum, D., ... & Mandel-Gutfreund, Y. (2020). Evaluation of COVID-19 RT-qPCR test in multi-sample pools. medRxiv.
Thomas-Rüddel, D., Winning, J., Dickmann, P., Ouart, D., Kortgen, A., Janssens, U., & Bauer, M. (2020). Coronavirus disease 2019 (COVID-19): update for anesthesiologists and intensivists March 2020. Der Anaesthesist, 1-10.
https://www.livescience.com/why-covid19-coronavirus-deaths-high-new-york.html
Built With
fusionbase
matlab
matlabapp
octave
python
Try it out
github.com | PoolParty: Overcome testing capacity with information theory | Overcoming the current testing capacity with an information theoretical approach. How to opimize pool testing with respect efficiency and reliability. | ['Kuo-Yi Chao', 'Pranavkumar Shadamarshan', 'Leo Peters', 'Christoph Schierholt'] | ['Healthcare'] | ['fusionbase', 'matlab', 'matlabapp', 'octave', 'python'] | 1 |
9,922 | https://devpost.com/software/brex | @You without this application
Inspiration
My parents sent me a breathing exercise video by complaining that they could not follow the physiotherapist. They needed a simpler way to perform such exercises in order to strengthen their lungs. After that day, I have seen a few more voluntary doctors and nurses trying to help people by posting breathing exercise videos. By completing a researching on the topic, I was convinced that these exercises are not only to be more healthy but vital to survive in today's circumstances. The gravity of these exercises comes from the characteristic of the virus itself. The virus infects the lung cells and an excess of inflammation liquid comes out. This inflammation liquid prevents O2 transfer to blood cells and patient starts to have breathing problems. The current treatment is to perform breathing exercises to get rid of the inflammation liquid for early stages.
What it does
So, we developed a guide for the user to perform such breathing exercises in a more convenient and healthy way.
The idea was to come with a web app to perform breathing exercises to the user. The app checks if the user is doing the breathing exercises right. The web application is developed using python for back-end and angular for front-end.For the app development we used angular9 framework and libraries such as opencv, flask and sklearn for computer vision part.
How we built it
We started with exploring the image recognition tools that we can use. Our first idea was to build and mobile application, so we looked for lightweight solutions. After investing some time we decided to go with web application because of its flexibility, limited time and bigger community for support in case we need it.
Challenges we ran into
The main challenge was to track an unlabeled object in a very detailed way. Since the chest or stomach movements are barely observable during respiration by bare eyes it made our case even more challenging to track such movement with a single camera. Taking consideration of uncontrolled lighting and the image quality, environment did not help our case so does the virus. However, we enjoyed the challenges and reached a satisfying version considering time and academic resources about the virus.
Accomplishments that we're proud of
We are proud to be able to measure the inflation and deflation of lungs and chest cavity separately. In that way, we were able to perform breathing exercises using both the diaphragm and lungs. By using explicit and visual guidance, we tried to make sure that the user performing the therapy in the healthiest way. The control mechanism which was able to give the user live feedback ensured the most out of the exercise.
What we learned
What's next for BrEx
Many patients nowadays requires extensive care by physiotherapists and their relatives because of the lung related diseases like Covid-19. Day by day the natural, non chemical treatments like this gain popularity and the application area like ours are expanding.
Built With
angular.js
flask
opencv
python
sklearn
Try it out
github.com | BrEx | Your Personal Physiotherapist | ['Niels Schlegel', 'Yalvaç Top', 'Patrick Sowinski', 'Elçin Can ÇAVUŞOĞLU'] | ['Healthcare'] | ['angular.js', 'flask', 'opencv', 'python', 'sklearn'] | 2 |
9,922 | https://devpost.com/software/classact-971msy | Easy-to-use lecturing with an emotional dashboard of the current mood in class.
Inspiration
In digital education and lectures, presenters often struggle with non-existing non-verbal feedback from their listeners. Those presentations can easily become (extraordinarily) one-sided and boring for the students and the lecturer. One current solution is to use live video footage of the lecturer as well as the students. This comes with a lot of problems though (bandwidth, clarity, and the occasional cat in the background). So, what exactly are the problems we run into using the current solutions?
What it doesn't do
Current solutions to enhance online lectures mainly involve activation of participants' webcams, so that the lecturer and others can use non-verbal communication cues to adapt to the learners’ needs. This might be a viable solution for small seminars and given that everyone can see their hairdresser frequently. But as the corona crisis took this opportunity away from us and we've all been working from home for a few weeks, we sometimes feel that we're in no state to present ourselves in online-meetings anymore. Furthermore, (but probably less importantly) live video streaming of the participants homes provides a unique insight in private affairs that some would like to remain private. And even if no concerns are voiced, this solution often proves to be somewhat unreliable.
What it does
Our application accesses the students' webcams, and detects their emotional state (e.g. happiness, boredom, confusion, sleepiness) using deep learning networks. Anonymized data containing each student's emotional state is then transmitted to the the lecturer and he/she sees a dashboard overview and general mood indication. This provides the lecturer with the opportunity to adapt the presentation in real-time according to the students' state of mind, like they would do in their real-life lectures.
Advantages for lecturers
Good teaching highly depends on the lecturer’s ability to adapt to the audience, e.g. by adjusting talking speed and giving further explanations on the subject. Lecturers often do not only use explicit feedback from students, like questions, but also rely on non-verbal communication cues. ClassAct provides a way to use this information in a suitable, applicable, and easy to use way.
Advantages for students
It is one thing to go to a real-life lecture and a totally different beast to have to live-stream oneself via video in a lecture. We believe (and experienced), that this can cause feelings of discomfort and unease. This does apparently not exactly facilitate learning and understanding. At the same time, seeing that others also look confused or bored, helps us identify with our classmates and feel a little less lost. Our application combines the best of both worlds, e-learning from the comfort of your own home and feeling connected to our classmates.
What's next for ClassAct
Implementation and use in a TUM lecture
Stability tests
Downloadable datasets synchronized with videos, to enable lecturers to improve their presentations even more
Context sensitive notifications that help you keep your audience alert and interested
Built With
css3
deep-learning-networks
firebase
html5
javascript
matlab
Try it out
classact-29dc0.web.app
github.com | ClassAct | An interactive digital lecture hall, that gives the lecturer real time feedback about the facial expressions and emotions of the students without the need of video footage. | ['Christina Harbauer-Rieß', 'Annika Boos', 'Lorenz Prasch', 'Philipp Maruhn'] | ['Education'] | ['css3', 'deep-learning-networks', 'firebase', 'html5', 'javascript', 'matlab'] | 3 |
9,922 | https://devpost.com/software/the-contamination-collaboration | What it does
Our approach broadens knowco's concept and business case. While knowco's website connects professionals, start up founders and academic personnel with each other, our App matches their
problems to solutions
. Imagine not being versatile in using e-learning platforms, but having to teach a class online due to Corona next semester. No worries, just pick up your phone and search our App for solutions and swipe them left and right to your liking. Our app proposes the right online education tool that matches your needs as well as current research to help you make the most of your digital teaching journey this semester.
How we built it
We built a database for papers dealing with pros and cons of online learning and how to improve the digital education experience. This database feeds our application with the information needed to find the right paper for the right problem by using key words linked to the papers and learning tools. The authors of the papers can be added to the knowco-collaboratewith website in a further step of development.
Challenges we ran into
Linking multiple DataFrames and embedding the answers live to create our weighted list of possible tools was a bit of a hassle.
Accomplishments that we're proud of
Although we have different backgrounds and skills (from complete beginner to developer pro) everyone could contribute and learned something new.
What's next for The Contamination Collaboration
Linking professionals in online education and e-learning academia and industry on the knowco_collabwith plattform and implementing our App there.
Built With
android
angular.js
nativescript
python
Try it out
github.com | The Contamination Collaboration - T{ool}inder | Toolinder - Tinder, but for academic problems related to e-learning. Contaminate other startups, businesses and academia with knowledge. | ['Stefan Koerner', 'Moritz Böhm', 'Stefan John', 'Vivian Würf'] | ['Education'] | ['android', 'angular.js', 'nativescript', 'python'] | 4 |
9,922 | https://devpost.com/software/smartqueue-4im8hf | SmartQ. In times of long queues at supermarkets, pharmacies or hardware-stores comes SmartQ to the rescue. To show where the people wait.
The counter for workers of shops. Here the capacity of the shop can be changed and added.
The city from above with valuable information about the queues of stores.
Overview to see how many people are waiting at the store.
Won 2nd price in the business-related category
Inspiration
Starting this Monday at least small shops can finally open again in Germany. This will be a challenge because there are hygiene regulations to comply with, like distancing measures.
Many of the bigger supermarket chains enforced this by hiring security companies. We want to make the queuing process a better experience both for shops and customers.
What it does
SmartQ helps people to find stores, supermarkets and co in times of long queues due to the heavy regulations made because of the coronavirus. Furthermore, the shop owner benefits from the use of SmartQ. With the integrated counting system, the owners of small or medium-sized shops get a useful managing system, to control and regulate the flow of persons into their facilities.
To achieve this, the security guard can simply sign up on our platform and update the number of people going in and out. Currently, this is implemented with a simple counter that can be comfortably used on a smartphone. A further solution is the option to allow customers to count themselves by providing a SmartQR code which can be scanned by entering customers. The portal keeps track of the number of people in the shop and in the queue and provides the security guard with important information on how to manage the queue.
All in all, SmartQ helps the people to manage their day more efficiently by estimating waiting times for mandatory activities such as shopping of groceries, and furthermore SmartQ supports shop owners in their duty to keep its customer safe and healthy.
What's next for SmartQueue
The current implementation of a counter, still relies on user input. In the future we are planning to enhance the service, by automated counting of people. Therefore, we can already think about the use of cameras and vision technology as well as motion sensors in the entries of shops.
Another point for future use could be to help system-relevant persons in their daily schedule. This can be made possible by allowing them to reservate a place in the desired store. This shall not end up in a two classes society, just helping our daily heros managing their grocery.
The data generated by the shops can be analyzed to give them useful insights about their customer traffic.
All in all, we as the team of SmartQ help to bring the people through these heavy times of the coronavirus. With these words in mind: STAY HEALTHY !
Built With
flask
maps-api
python
typescript
vuejs
Try it out
github.com
dies-das-ananas.eu | SmartQ | With SmartQ, we want to support shop owners to handle the strong regulations due to the corona virus, by managing their shops queues. And in parallel to give people insights on the queues of shops. | ['Niklasohne Johne', 'Markus Böbel', 'mhauer-data Hauer', 'Alexander Christoph'] | ['Business'] | ['flask', 'maps-api', 'python', 'typescript', 'vuejs'] | 5 |
9,922 | https://devpost.com/software/itdatum | Inspiration
As the corona crisis gets longer, most of the face-to-face activities are suspended. Students cannot have usual contact with fellow students. It is especially hard for students who are not from the local area, living alone, or do not speak German. We wanted to build a student community platform where students can share their life, talk about their studies, find some study mates, and give&receive help during the crisis.
What it does
The platform aims to connect students of TUM and improve their social interaction. Since people have to stay at home, a small-talk and casual after class discussions about the covered topic are gone. We want to make this happen, by students providing their needs, where other random students can help them. If preferred, they can also easily open Jitsi call and discuss it in detail. It can help with searching for study groups, lab partners, and making new friends. The advantage is that there is no required invitation like to some close WhatsApp and Facebook group. On top, interaction among students of different faculties is encouraged.
How we built it
The page is built using python Flask framework for a backend and ReactJS for frontend. More specifically, the application runs on Python (v3.5+) Flask framework (v.2+). It is an open-source project, and we are actively searching for developers.
What we learned
We are proud that we built this platform in less than a day from scratch in only two people. We learned to orient ourselves in various tools and enhance our collaboration skills. It is fun to experience new technologies.
This is it? No, it is just the beginning!
We have a long To-Dos list. To name some:
Connecting people on the platform
Introducing OAuth with other apps - possibly to integrate with TUM username and account
Improve UX/UI for a more pleasant experience
Ensure legal run of the page and ask consensus of participants to store their data
Introduce review system based on received help
Localization to various languages
Better search options
Extend to other communities
Built With
flask
javascript
jitsi
mysql
python
react
Try it out
github.com | itdaTUM | TUM students can get connected again via itdaTUM. It provides the opportunity to study together, to get to know new people, or give & receive helps. | ['Eomji Park', 'Filip Rezabek'] | ['Government and Society'] | ['flask', 'javascript', 'jitsi', 'mysql', 'python', 'react'] | 6 |
9,922 | https://devpost.com/software/covidradar-1axc3o | Our mobile app is available on the App Store!
Get safe routes which avoid crowded areas.
Inspiration
Major software companies like Google and Yandex have developed tools for monitoring social distancing levels around the world. However, these metrics provide information only about whole cities, not districts or neighbourhoods. We decided to create a platform with better granularity, which would allow users to avoid places where crowds were spotted recently.
What it does
Our mobile app lets you view and report social distancing violations around you and plan safe routes which avoid crowded areas. Users can also view our on the platform's website
link
How we built it
Our native iOS app is written in Swift and already available on the App Store. As a database choice we decided to go for MongoDB as it is fast and scalable. The website is made in Tilda with some embedded JS.
Challenges we ran into
Our team members say:
Raul: finding out the right documentation for mongodb node js driver
...and reading github issue tickets for 7 hours to make it work
Egor: Google Maps API turned out to be quite naughty. Didn't expect it really.
Sofia: finding a free dataset with useful and meaningful geospatial data was nearly impossible.
Sasha: The most difficult challenge I was confronted with was integrating the heat map layer.
Accomplishments that we are proud of
In under 2 days our team managed to build a working platform, which already has its first users!
What we learned
Productive teamwork in self-isolation is harder than it seems to be, but is definitely possible. We also learned a lot of technical things in the field of geographical data collection and processing.
What's next for COVID.radar
We will keep improving the platform over the next couple of days and plan to make it public as soon as next midweek.
Link to the repository:
link
Built With
amazon-web-services
python
swift
Try it out
covidradar.tech | COVID.radar | Crowdsourced interactive map for social distancing violations tracking. | ['Egor Spirin', 'Alexandr Mavrichev', 'Raul Abdurakhmanov', 'Sofiia Danylchenko'] | ['Government and Society'] | ['amazon-web-services', 'python', 'swift'] | 7 |
9,922 | https://devpost.com/software/covnatic-covid-19-ai-diagnosis-platform | Landing Page
Login Page
Segmentation of Infected Areas in a CT Scan
Check Suspects using Unique Identification Number (New Suspect)
Check Suspects using Unique Identification Number (Old Suspect)
Suspect Data Entry
COVID-19 Suspect Detector
Upload Chest X-ray
Result: COVID-19 Negative
Upload CT Scan
Result: Suspected COVID-19
Realtime Dashboard
Realtime Dashboard
Realtime Dashboard
View all the Suspects (Keep and track the progress of suspects)
Suspect Details View
Automated Segmentation of the infected areas inside CT Scans caused by Novel Coronavirus
Process flow of locating the affected areas
U-net (VGG weights) architecture for locating the affected areas
Segmentation Results
Detected COVID-19 Positive
Detected Normal
Detected COVID-19 Positive
Detected COVID-19 Positive
GIF
Located infected areas inside lungs caused by the Novel Coronavirus
Endorsement from Govt. Of Telengana, Hyderabad, India
Endorsement from Govt. Of Telengana, Hyderabad, India
Generate Report: COVID-19 Possibility
Generate Report: Normal Case
Generated PDF Report
Inspiration
The total number of Coronavirus cases is
2,661,506 worldwide
(Source: World o Meters). The cases are increasing day by day and the curve is not ready to flatten, that’s really sad!! Right now the virus is in the community-transmission stage and rapid testing is the only option to battle with the virus. McMarvin took this opportunity as a challenge and built AI Solution to provide a tool to our doctors. McMarvin is a DeepTech startup in medical artificial intelligence using AI technologies to develop tools for better patient care, quality control, health management, and scientific research.
There is a current epidemic in the world due to the Novel Coronavirus and here
there are limited testing kits for RT-PCR and Lab testing
. There have been reports that kits are showing variations in their results and false positives are heavily increasing.
Early detection using Chest CT can be an alternative to detect the COVID-19 suspects.
For this reason, our team worked day and night to develop an application which can help radiologist and doctors by automatically detect and locate the infected areas inside the lungs using medical scan i.e. chest CT scans.
The inspirations are as below:
1. Limited kit-based testings due to limited resources
2. RT-PCR is not as much as accurate in many countries (recently in India)
3. RT-PCR test can’t exactly locate the infections inside the lungs
AI-based medical imaging screening assessment is seen as one of the promising techniques that might lift some of the heavyweights of the doctors’ shoulders.
What it does
Our COVID-19 AI diagnosis platform is a fully secured cloud based application to detect COVID-19 patients using chest X-ray and CT Scans. Our solution has a centralized Database (like a mini-EHR) for Corona suspects and patients. Each and every record will be saved in the database (hospital wise).
Following are the features of our product:
Artificial Intelligence to screen suspects using CT Scans and Chest X-Rays.
AI-based detection and
segmentation & localization of infected areas inside the lungs
in chest CT.
Smart Analytics Dashboard
(Hospital Wise) to view all the updated screening details.
Centralized database (only for COVID-19 suspects) to
keep the record of suspects and track their progress
after every time they get screened.
PDF Reports,
DICOM Supports
, Guidelines, Documentation, Customer Support, etc.
Fully secured platform
(Both On-Premise and Cloud)
with the privacy policy under healthcare data guidelines.
Get Report within Seconds
Our main objective is to provide a research-oriented tool to alleviate the pressure from doctors and assist them using AI-enabled smart analytics platform so they can
“SAVE TIME”
and
“SAVE LIVES”
in the critical stages (Stage-3 or 4).
Followings are the benefits:
1. Real-world data on risks and benefits:
The use of routinely collected data from suspect/patient allows assessment of the benefits and risks of different medical treatments, as well as the relative effectiveness of medicines in the real world.
2. Studies can be carried out quickly:
Studies based on real-world data (RWD) are faster to conduct than randomized controlled trials (RCTs). The Novel Coronavirus infected patients’ data will help in the research and upcoming such outbreak in the future.
3. Speed and Time:
One of the major advantages of the AI-system is speed. More conventional methods can take longer to process due to the increase in demand. However, with the AI application, radiologists can identify and prioritize the suspects.
How we built it
Our solution is built using the following major technologies:
1. Deep Learning and Computer Vision
2. Cloud Services (Azure in this case)
3. Microservices (Flask in this case)
4. DESKTOP GUIs like Tkinter
5. Docker and Kubernetes
6. JavaScript for the frontend features
7. DICOM APIs
I will be breaking the complete solution into the following steps:
1. Data Preparation:
We collected more than 2000 medical scans i.e. chest CT and X-rays of 500+ COVID-19 suspects around the European countries and from open source radiology data platform. We then performed validation and labeling of CT findings with the help of advisors and domain experts who are doctors with 20+ experience. You can get more information in team section on our site. After carefully data-preprocessing and labeling, we moved to model preparation.
2. Model Development:
We built several algorithms for testing our model. We started with CNN for classifier and checked the score in different metrics because creating a COVID-19 classifier is not an easy task because of variations that can cause bias while giving the results. We then used U-net for segmentation and got a very impressive accuracy and got a good IoU metrics score. For the detection of COVID-19 suspects, we have used a CNN architecture and for segmentation we have used U-net architecture. We have achieved 94% accuracy on training dataset and 89.4% on test data. For false positive and other metrics, please go through our files.
3. Deployment:
After training the model and validating with our doctors, we prepared our solutions in two different formats i.e. cloud-based solution and on-premise solution. We are using EC-2 instance on AWS for our cloud-based solution.
Our platform will only help and not replace the healthcare professionals so they can make quick decisions in critical situations.
Challenges we ran into
There are always a few challenges when you innovate something new. The biggest challenge is “The Novel Coronavirus” itself.
One of the challenge is “Validated data” from different demographics and CT machines.
Due to the lockdown in the country, we are not able to meet and discuss it with several other radiologists. We are working virtually to build innovative solutions but as of now, we are having very limited resources.
Accomplishments that we're proud of
We are in regular touch with the State Government (Telangana, Hyderabad Government). Our team presented the project to the Health Minister Office and helping them in stage-3 and 4.
Following accomplishments we are proud of:
1. 1 Patent (IP) filled
2. 2 research paper
3. Partnership with several startups
4. In touch with several doctors who are working with COVID-19 patients. Also discussing with Research Institutes for R&D
What we learned
Learning is a continuous process. Our team learnt
"the art of working in lockdown"
. We worked virtually to develop this application to help our government and people. The other learning part was to take our proof of concept to the local administration for trails. All these “Government Procedures” like writing Research Proposal, Meeting with the Officials, etc was for the first time and we learned several protocols to work with the government.
What's next for M-VIC19: McMarvin Vision Imaging for COVID19
Our research is still going on and our solution is now endorsed by
the Health Ministry of Telangana
. We have presented our project to
the government of Telangana for a clinical trail
. So the next thing is that we are looking for trail with hospitals and research Institutes. On the solution side, we are adding more labeled data under the supervision of Doctors who are working with COVID-19 patients in India. Features like
Bio-metric verification, Trigger mechanism to send notification to patients and command room
, etc are under consideration. There is always scope of improvement and AI is the technology which learns on top of data. Overall, we are dedicated to take this solution into real world production for our doctors or CT and X-rays manufacturers so they can use it to fight with the deadly virus.
Built With
amazon-web-services
flask
google-cloud
javascript
keras
nvidia
opencv
python
sqlite
tensorflow
Try it out
m-vic19.com | M-VIC19: McMarvin Vision Imaging for COVID19 | M-VIC19 is an AI Diagnosis platform is to help hospitals screen suspects and automatically locate the infected areas inside the lungs caused by the Novel Coronavirus using chest radiographs. | [] | ['1st Place Overall Winners', 'Third Place - Donation to cause or non-profit organization involved in fighting the COVID crisis'] | ['amazon-web-services', 'flask', 'google-cloud', 'javascript', 'keras', 'nvidia', 'opencv', 'python', 'sqlite', 'tensorflow'] | 8 |
9,922 | https://devpost.com/software/covid-19-chart | Interactive Chart showing trends of COVID-19 of different locations in the world.
Always up-to-date COVID-19 data
Table showing data of all the countries with COVID-19 cases. (184)
Bar Chart showing countries with most COVID-19 cases
Inspiration
The inspiration started from our simple wondering: why can’t every country have the same level of access to the data we need? Why is it so difficult to get our regional data of CoVID infection? We wanted to help people to know the exact information in their region and their loved ones so that they can feel safe and know what is going on. As the situation gets serious in Europe and the whole globe, the most important thing is to get the exact data.
That is why we came up with this idea of our application:
CoVID 19 Dashboard
.
Until now, we had a lot of inconvenience of accessing the data we needed. There were a lot of problems because of this. For example:
Could not quickly get to the information you need
Could not understand the infection rate for your community
Could not check the curve and overall status.
Could not access the exact number of CoVID statistics by categories.
Could not search the region that you wanted to check.
Could not see both the world’s status and the regional status at the same time.
We thought we could fix these problems and make it better. We fixed most of the problems above and provided:
Easy access to the COVID-19 statistics by country categories.
Convenient User Interface
The number of German cities’ active COVID-19 patients.
The flow of the curve of new patients in German cities.
Total confirmed, total active, and total death in the top 6 countries
Users can search their region and get the information they need.
Our application can help people in various aspects. We believe that we can defeat COVID-19 by collaborating and staying healthy. We want to be part of the fight.
What it does?
Visualizing the COVID-19 data in as a Chart. Update every 24 hours
The chart informs people of the valuable trend of the COVID-19 situation better than only the latest updated value.
Collection of trustworthy data source in one place as a dashboard.
To help the German and other citizens, understand the trend of COVID-19 better. I started with the data in German cities as I am now studying in Stuttgart, Germany.
To help people understand the daily trend of COVID-19 what is going on in their own regions.
How I built it?
Node.js server helps to retrieve data from several trustworthy datasource.
HTML5 with Bootstrap framework.
Challenges I ran into?
I knew about this hackathon only half an hour before the deadline.
Built With
apex-chart
bootstrap
css
css3
datatable
express.js
html5
javascript
node.js
Try it out
www.covid19dashboard.org | COVID-19 Dashboard | The web application dashboard for visualizing the COVID-19 data. | ['Chaeyun Kim', 'Joe Thunyathep S.'] | ['Mr. Worldwide'] | ['apex-chart', 'bootstrap', 'css', 'css3', 'datatable', 'express.js', 'html5', 'javascript', 'node.js'] | 9 |
9,922 | https://devpost.com/software/myteamprogress | Inspiration
Teams of students have a lack of social contact to maintain routines such as attending lectures regularly or doing sports together. With a platform on which each team member can enter activities they have completed (such as self-study in a subject, completing an exercise or the morning run) it becomes transparent whether the team is on the right track to successfully complete the semester.
What it does
User-friendly platform to register teams, submit activities and evaluate team activities
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for myteamprogress
Built With
java
javascript
jira
refined | myteamprogress | Team routines and motivation platform | ['Marcel Gattinger'] | [] | ['java', 'javascript', 'jira', 'refined'] | 10 |
9,922 | https://devpost.com/software/health_id | HEALTH_ID user interface
The HEALTH_ID system
The concept of HEALTH_ID
HEALTH_ID user interface
Inspiration
All over the world countries and people suffer from covid-19. Isolation is one answer to the crisis. But it only adresses one problem: The health problem (while economy and social life are collapsing!). We can only save our economy and our social life by getting back to normality. Even if some countries may flatten their curve drastically - Fact is that one infected person can start the whole problem all over again. That means that our rights will be ristricted for a long time from now! We cant get back to normal because we don´t know who is a threat for other people. Immune people might get back to normal life but those people simply cannot prove their immunity! That´s where HEALTH_ID enters the game...
What it does
HEALTH_ID proves the immunity of a user in everyday situations without intriguing their privacy. HEALTH_ID connects your normal personal ID-number with your covid-19-health-status. Nothing more, nothing less. Depending on your country the ID-number is a simple sequence of numbers that don´t carry any further personal information. Therefore the best tool to connect it with a sensitive personal information such as your corona-immunity-status. Only someone who sees your id-card can check your health-status. It´s like a credit card that in fact shows very sensitive data as well. If you don´t show it to anybody, nobody can harm you. Only people who know your id-number can check if you are a threat to them. Just enter a persons id number into the HEALTH_ID input field and get the state back. This certificate can be verified with a QR-Code.
With this super easy tool you can prove your immunity in everyday situations (with a QR-code) or online (by simply typing in your ID-number). With our built-in API third party platforms can check your health-state as well. Examples can be:
Digital:
Booking a flight online (The airline can check your covid-19 state with our API)
Requesting a visa online (The government can check your covid-19 state with our API)
Booking a festival/concert/theater/cinema ticket (The manager can check your covid-19 state with our API)
And plenty of other situations...
Everyday situations:
Admission and entrance controls of festivals/concerts/theaters/cinemas/shops/restaurants/hotels
Police controls
Border controls
And plenty of other situations...
Note: health and test data is provided by certified facilities such as laboratories/hospitals and doctors. The HEALTH_ID can be owned by a state or by a trustworthy non-profit-organisation.
HEALTH_ID is 100% free, 100% voluntary and 100% useful!
The only way to fully get back to our normal life is to differentiate between immune and non-immune people. Think about it! It´s so obvious!!!
How I built it
The best and secure system is a simple system. I`ve developed a front-end website (
https://www.global-health-id.com
) and a back-end database. As I´ve discribed it further on top it is simply a connection between a personal id with a state of health. The information exchange on the user side is done with a qr code which can also be scanned and verified within the HEALTH_ID platform/website. Therefore I´ve taken some board-libraries for qr-code-scanning and -generating and combined it with a database. HEALTH_ID works from EVERY smartphone that has a camera in the world via the internet. It´s made for a everyday mass-use. Even people in slums have smartphones!
Challenges I ran into
While developing the concept I put the highest emphasis on simplicity and privacy. While other countries come across a lot of apps that truly intrigue users privacy this one doesn´t. I figured out that people need 5-10 minutes to truly understand the concept behind it and then - without a doubt - realise that HEALHT_ID can be very useful.
Accomplishments that I'm proud of
Creating a dead simple concept that works.
What I learned
Creating a good concept is one thing. Convincing others is super hard.
What's next for HEALTH_ID
Obviously for HEALTH_ID to work health data is needed. Health_ID needs fast and reliable immune tests for millions of people and a facilities with special certificates. Nevertheless Health_ID can start small and verify immunity of few hundreds at first. This means that more and more people can go back to normal life. The economic and social problem is solved.
global-health-id.com
Questions or answers:
[email protected]
Thanks for your time!
Built With
javascirpt
php
Try it out
www.global-health-id.com | HEALTH_ID | HEALTH_ID is the first digital ID that proves your covid-19 immunity in everyday life withouth intriguing your privacy.... | ['Paul Metzger'] | [] | ['javascirpt', 'php'] | 11 |
9,922 | https://devpost.com/software/infineon-challenge-openventapplication | Figure 2: PatientOverview
Figure 3: Real-time Curve of Expired O2 last 20s
Figure 4: Real-time Curve of Expired O2 last 500s
Figure 5: PatientData
Figure 1: TriggeredWarning
Inspiration
In December 2019 the first cases of Covid-19, a disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were reported. Since then it has spread rapidly worldwide. According to the WHO, more than 2 million cases and around 146,200 deaths have already been documented worldwide. Older people and people with pre-existing conditions such as diabetes, cancer or chronic lung diseases are particularly at risk. The virus infects the lungs and can cause pneumonia. In severe cases mechanical ventilation is absolutely necessary. However, the devices are limited. Therefore, as part of the hackathon #WirvsVirus of the German government a project was initialized aiming to develop an open-source ventilator device. The
OpenVent Project
link
focuses on simplicity, availability and scalability, which makes it a fast and
user-friendly
solution to the current problem. Thus, the device can be can be directly used in clinical practice to improve
patients’ recovery
and save lives.
Our aim was to contribute to the OpenVent project by offering a software solution that allows medical staff to monitor multiple ventilators simultaneously via app. Besides, important or critical medical parameters are displayed and highlighted. Finally, data history is stored in a separate cloud, which can be reviewed manually by the user.
In combination with the hardware solution, we want to develop a
complete and applicable
ventilation system that can be distributed and used as soon as possible.
What it does
The software is structured into a frontend and backend. The backend obtains its data from the different ventilation machines. Each ventilator has an ID, which is then assigned to the matching patient ID. Additional information about the patients risk factor, namely Simplified Acute Physiology Score (SAPS), is also entered to the backend. The combined
data history
is then transferred and stored in the server. Apart from that, the data is directly analyzed. Medical standard values for lung function were established on the basis of scientific sources (
see References
). Deviations from the standard were subdivided into different degrees of severity and evaluated with a scoring system. From the evaluations of the individual parameters an overall score was calculated to categorize the physiological condition of each patient into one of
three severity groups
. Furthermore, in case one of the basic parameters reaches a certain critical limit, a
push message
is triggered and sent to the app (see Figure 1).
Other than that, the frontend (Flutter App) is requesting the data from the backend (Python web server with Flask) and displays it in an intuitive and user friendly way to the medical staff. The first screen shows a list of the current patients sorted by severity or time since last visit (see Figure 2). Right of every icon, a symbol indicates the severity score of the current condition. By tapping on the patient a second screen with the physiological data of the patient is displayed. Data is plotted in
real-time
. However, it can also be requested
retrospectively
and in selected time periods (see Figure 3 and 4).
Another special feature is the display of the position of the Patient (see Figure 5). To release pressure from the lungs it is common to
switch patients position
between dorsal to abdominal for about four Hours. This treatment has an effect on the physiological values. Therefore, for example, the FiO2 level must be adjusted 30 minutes later. Our app provides information about the position as well as the duration since the last reallocation. For this purpose, the nursing staff can make an entry in the app, which is transferred to the backend and saved. This feature makes it possible to determine whether changes in individual parameters can be traced back to the position status. Furthermore, based on the history of data including the timestamps of each change of position it is possible to evaluate, which turning cycles have the best effect on the physical values. The resulting information can later be used in research to develop therapeutic guidelines.
How we built it
Our project is based on Flutter (frontend) and Python (backend) including a web server with Flask. The following key points how the program was built:
Setting up the Python server
Frontend: Design of user interface,
Backend: Data Mining: setting up connection to API and server
Frontend: Visualization of real-time data,
Backend: Definition of object classes
Implement functions to transfer information between frontend and backend
Literature research about physiological values to generate the Severity Score.
Adjust functions to real-time data
Addition of extra functions
Challenges we ran into
Adjustment of the sensitivity of severity score
Server break downs
Time objects cause problems when converting to Json format
API responds too slowly to server requests
Unstable API template, which also changed during the working process
Accomplishments that we're proud of
We are proud to have developed an app that processes data in real time and displays important information for the user. Especially the extra functions about the degree of severity and the position should help to optimize the treatment of patients.
What we learned
I personally can say that I have learned a lot from this project. It was the first major program I ever implemented and certainly not within a group. Nevertheless, it was a great experience. I benefited a lot from the support of my team mates and was able to acquire much new knowledge and manifest it through direct application.
What's next for Infineon Challenge: OpenVentApplication To be added
First of all, it would be important to ensure data protection, as the software processes sensitive patient data.
Additionally, we suggest to adjust the critical values that trigger the alarm as well as the sensitivity of severity score according to the request of medical person.
Other important features would be the integration of physiological data from other medical devices, such as heart rate and blood pressure.
Besides, it would be interesting to store additional therapeutic measures such as drug administration in combination with the physiological values and characteristics (such as age, sex, pre-illness) of the patient und analyze them by machine learning algorithms. This would make it easier to identify correlations and help future patients by predicting the course of disease based on the recorded data and providing individualized therapeutic guidelines.
References
Aumüller et al.: Duale Reihe Anatomie. 1. Edition Thieme 2006, ISBN: 978-3-131-36041-0.
Schmidt et al. (Hrsg.): Physiologie des Menschen: mit Pathophysiologie. 31. Edition Springer 2010, ISBN: 978-3-642-01651-6.
Silbernagl, Despopoulos: Taschenatlas der Physiologie. 6. Edition Thieme 2003, ISBN: 3-135-67706-0.
Ulfig: Kurzlehrbuch Embryologie. 1. Edition Thieme 2005, ISBN: 3-131-39581-8.
Vogt et al.: Bauchlagerung bei Beatmung – Schritt für Schritt. In: DMW - Deutsche Medizinische Wochenschrift. Vol: 144, Number: 14, 2019, doi: 10.1055/a-0665-6637, p. 978-981.
Major, V. J., Chiew, Y. S., Shaw, G. M., & Chase, J. G. (2018). Biomedical engineer's guide to the clinical aspects of intensive care mechanical ventilation. Biomedical engineering online, 17(1), 169.
https://doi.org/10.1186/s12938-018-0599-9
Agasti, T. K. (2010). Textbook of Anesthesia for postgraduates. JP Medical Ltd.
Disclaimer:
The material here is provided with no warranties explicit or implied.
This project does not represent any official policies or procedures for medical advice.
Try it out
github.com | Infineon Challenge: OpenVentApplication | Our idea is to provide a software solution that allows medical staff to monitor multiple ventilators simultaneously via app. Additionally, a risk score and push-up serive is implemented... | ['SveaMeyer13 Meyer', 'chart21 Harth-Kitzerow', 'Simone L'] | [] | [] | 12 |
9,922 | https://devpost.com/software/stocknshop | Inspiration
Hacka-TUM project application
Track: Government and Society
Challenge: Essential items monitoring
Our app checks essential items from nearby supermarkets and would let users enter their shopping list, and then it would recommend the best store (or stores) according to vicinity and current stock. If we have enough time we will try to implement ‘volunteer’ and/or ‘best time of visit’ functionalities.
Features:
Recommend the best store (or stores) according to current available stock and vicinity
Render said store(s) on the map
Optional Features:
Recommend the best time to visit the store (in terms of stock and crowdines)
Technologies: React Native, (Django - for the mock database?)
Team Members:
Deep Mehta
Priya Dalal
Simon Sekavčnik
Built With
django
react-native | StockNShop | Our app checks essential items from nearby supermarkets and would let users enter their shopping list, and then it would recommend the best store (or stores) according to vicinity and current stock. | ['Dev ML', 'Simon Sekavcnik', 'Deep Mehta'] | [] | ['django', 'react-native'] | 13 |
9,922 | https://devpost.com/software/cotrack-tracing-app | CoTrack: Tracking Mode
CoTrack: Report Infection
CoTrack - Health Center: Login only authorized to official Covid-19 test stations
CoTrack - Health Center: Report Infection
CoTrack - Logo
Inspiration
To stem the spread of the coronavirus and get back to normal life, it is essential to be aware of the Covid-19 infection paths. At the moment, at least in Germany, this is done by asking corona patients for the people, they have met in the last couple of days. This is very time-consuming, stressful and inaccurate, as people might forget who they have met or do not even know their names. But there must be a better way for that:
CoTrack uses modern technology and the availability of smartphones in our daily lives to trace infection paths and thus stem the spread of the coronavirus. CoTrack uses BLE (Bluetooth Low Energy) signals to track close contacts that are also using the app on their smartphone. As soon as two smartphones are close enough, CoTrack exchanges anonymized IDs that are stored in the app. By that, CoTrack can easily and anonymously keep record of encounters and potential risk contacts. If a user gets infected by the coronavirus, a doctor can report the infection with the corresponding "CoTrack - Health Center" application. After an infection is reported, all users that had contact with the infected user get notified in the app automatically. This way CoTrack users are informed early and can take precautions to protect themselves and their families.
What it does
With CoTrack you can easily and anonymously record encounters with other app users. For active tracking, you only need to switch on your Bluetooth and activate the tracking button in the CoTrack app. If a contact person gets infected, you will be notified automatically and anonymously in the app. This way you are informed early and can take precautions. If you have fallen ill with Corona yourself, you can voluntarily and anonymously report your infection status, which will inform your contact persons. The usage of CoTrack is voluntary and anonymous. We do not require any personal data. Every CoTrack-user receives a randomly generated user ID, which is used in the app for authorization. CoTrack can be used offline, however, whether you had contact with a risk contact can only be determined if the internet is connected.
- Anonymous, Offline, Secure -
How I built it
CoTrack is a native Android application with a Firebase backend. By using the Firebase backend, the application is able to scale seamlessly and can be easily established in many different countries.
CoTrack uses BLE technology to track close contacts (broadcasts randomly generated ID over BLE and scans for incoming IDs). To report an infection, a QR-code has to be scanned by a doctor (to prevent fake infections). After the QR-code is scanned, CoTrack uploads the encounters of the infected person and informs them about the risk contact.
Important: Other app users never know who exactly is infected. They just know that they had contact with a person that is now infected with Covid-19!!! Encounters are stored locally in the app and are only uploaded to the server, if the user wants to report an infection!!!
The CoTrack-system consists out of two applications:
CoTrack: Application for the normal user (Tracking, Infection Notification, Request Infection Report, etc.), anonymous usage.
CoTrack - Health Center: Application for health centers to report the infections by scanning QR-codes of infected patients. Login only for authorized health centers / Covid-19 test sites.
Accomplishments that I'm proud of
Making contact-tracing easier for everyone and by that contribute to stem the spread of the coronavirus and get back to our normal lives.
The CoTrack-system is ready-to-use and can be used all around the world.
What's next for CoTrack - Tracing App
Get in contact with health officials in different countries to establish CoTrack as an international standard application for contact-tracing in the corona crisis.
Built With
android
beacons
ble
firebase
node.js | CoTrack - Tracing App for Covid-19 | Through community-driven contact tracing, CoTrack helps to trace infection paths and thus stems the spread of the coronavirus. | ['Pascal Wieler'] | [] | ['android', 'beacons', 'ble', 'firebase', 'node.js'] | 14 |
9,922 | https://devpost.com/software/youlearn-designteam | 1
2
3
4
5
6
7
8
9
10
Inspiration
We want students to have a more individualized learning experience. Anywhere, anytime. We want you to stay focused on what you are most interested in!
What it does
We bring you your lecture, how you can best consume it. We bring your lectures to your screen. The learning speed and even the content is tailor-made for you. YouLearn helps you learn efficiently: tackle a topic when your mind is most focused.
How we built it
Our team was thinking deeply about the problems in classrooms. The different learning speeds, different interests of students all subjected to the same sound and video. Let's find a better way!
With the UX/UI knowledge in our team, we produced many successions of sketches. We also consumed huge amounts of coffee. That helped.
Challenges we ran into
We definitely feel like a team meeting in person would have produced way faster results. The process of calling for a quick question, getting a second opinion was elongated.
Accomplishments that we're proud of
We have build a click-dummy to show our concept to the world! It looks great already. On top of that we humbly believe that our video of the platforms usage is quite smooth..
What we learned
Concept is key. Cut video meetings short. Always be reachable. An idea can be electrifying when you see what it could grow into.
What's next for YouLearn - DesignTeam
Convene with our sister-teams after the presentations to talk integration and production of a more holistic presentation of both our concept and implementation. Get ready to share it with the TUM, with TUM Future Learning Initiative and the world.
Built With
photoshop
powerpoint | YouLearn - DesignTeam | Do you want a professor that teaches you according to your interest? Responsive too? Already got you covered. We have the concept to a personalized educational platform that gets it done! | ['Johannes Georg', 'Ludwig Oertel', 'Muneeb Ahmed'] | [] | ['photoshop', 'powerpoint'] | 15 |
9,922 | https://devpost.com/software/regulated-restaurant-reservation-j4nvga | Website Start Page
Restaurant Registration
Restaurant Reservation Overview
Start App
Select Time
Warning
Select restaurant
Restaurant overview
Reserve table
Warning
Seat reservation authentification
Seat reservation authentification
Push notification
Background:
Due to the current corona pandemic, the entire economy is suffering from the new regulations, decreases in demand and a reduced supply.
Situation:
Especially restaurants are affected by the economic lockdown. While other branches will reopen in the next few weeks, the strict safety requirements and regulations will not make this possible for gastronomic businesses, as the wearing of mouthguards for example can not be realised. Therefore Restaurant visits are not allowed so far and in the near future.
Problem:
On the one hand:
Society: From day to day the probability of getting bunkrupt increases
Restaurant sector: From day to day the dissatisfaction and the need of going in a restaurant increases
On the other hand:
Health: From day to day the chances of getting infected decreases
This dilemma leads to helplessness on side of the government, while we are running out of time.
Our Proposal
The government only allows restaurant visits with a seat reservation.
This avoids:
Mass rushes, because everyone wants to visit a restaurant as soon as they will be opened again
Long queues, because of a reduced amount of available seats in a restaurant
City strolls, because people desperately try to find a seat in any restaurant
-> Avoid unnecessary social encounters and new infections, while being able to reopen far earlier
Our Solution
The government provides a digital solution for restaurant reservations,
based on our application concept
.
This solution has the following benefits:
Non commercial product
Corona related functions
Free to use
->This enables every restaurant to easily fulfill the regulations
Result
Restaurant sector: "I am happy!"
Society: "I am happy!"
Government: "I am happy!"
-> This is a WIN-WIN-WIN situation! | Resona | Enable controlled and regulated Restaurant visits. | ['Pia Freilinger', 'Marco Zeulner', 'Nora Walkembach', 'tob Zet'] | [] | [] | 16 |
9,922 | https://devpost.com/software/onetrack | Inspiration
What it does
It tries to unify the production and distribution of critical healthcare products via on website.
How we built it
Mostly with angular.
Challenges I ran into
Accomplishments that I'm proud of
What I learned
Angular :D
What's next for OneTrack
Built With
angular.js
Try it out
github.com | OneTrack | Management platform for distribution of healthcare products | ['Justus von der Beek', 'axelSfs0', 'Patrik Schäffler', 'Alexander Kranzer'] | [] | ['angular.js'] | 17 |
9,922 | https://devpost.com/software/ventmonitor | homepage
individual monitoring page
Inspiration
Increase efficiency and alertness of docters and nurses on the IC.
What it does
Provide an overview of the status of the patients for the docters and nurses
Observe the data of each ventilation system online.
Provide allerts to the docters and nurses if a situation changes.
How we built it
retrieve data from the API and store it in a storage
retrieve data from the storage and display it on an HTML with JS
create predictions for each patients that can then trigger alarms
Challenges we ran into
creating a website that is linked with other websites
simulation of data
Accomplishments that we're proud of
creating the webpages
What we learned
retrieve data from a datastorage and display it in an HTML file
What's next for VentMonitor
improve the prediction based on RNN/LSTM neural network
creating alerts on the overview HTML
creating buttons on the patient HMTL where the docter can decide which values he want to be alerted for, and which upper/lower bounds he wants to have for each patient
Built With
html
javascript
keras
python
Try it out
github.com | VentMonitor | An overall ventilation monitoring system for docters and nurses on the IC | ['Zhuolun Zhou', 'Christiaan van Ommeren', 'yezi Tsai'] | [] | ['html', 'javascript', 'keras', 'python'] | 18 |
9,922 | https://devpost.com/software/quelli | Quelli
The software to manage a social distancing in places under a queue problem.
Inspiration
Queuing to enter a place can create a close contact between people. By making a reservation to each place and manage the queue properly can reduce the chance of getting infected.
What it does
Search for nearby store based on your current location
Search for store based on name
View the current queue of each store
Reserve a queue for a timeslot
View your upcoming reserved queue
Verify your queue with QRcode
Challenges we ran into
It's the first time we used Flutter and Mongo database
Figuring out what API from the backend would be needed
Timezone difference between member
Accomplishments that we're proud of
We figured out how to use Flutter and Mongo database
Functioning teamwork
Not wasting our free time and actually do something meaningful
What's next for Quelli
Minor bug fix
Area expansion
Collaboration with places, shops
Built With
dart
javascript
Try it out
github.com | Quelli | Queue management software for social distancing | ['Patipon Riebpradit', 'Thanu Poptiphueng', 'Thammawit Lerdthanavaranont', 'paichana Kularb'] | [] | ['dart', 'javascript'] | 19 |
9,922 | https://devpost.com/software/easy-essentials | Inspiration
With
Easy Essentials
, we aim to help in combating the present horrendous situation posed by the
SARS-Cov-2 Virus, popularly known as CoronaVirus. The COVID-19 pandemic has motivated us to visualize the difficulties faced by individuals in their day-to-day lives with respect to procuring various essential products, given the restrictions posed due to lockdown imposed in various areas. With Easy Essentials, our main objective is to help reduce the exposure for individuals by narrowing down their search for essential commodities.
What It Does
Our application simplifies the search process for users looking for essential items like pharmaceutical products, groceries, household items and cleaning products. The application shall display only those shops which satisfy a certain safety criteria basis the safety rating provided by both the shop owner and visiting customers. ‘Easy Essentials’ narrows down the search for essential commodities by the users, thereby reducing the time and risk of going to multiple shops in search of essentials. Since, the users can see the safety rating for each shop, they can plan their visit in a more efficient fashion.
What's next for Easy Essentials
We have proposed the idea of providing a more convenient method for purchasing essential goods, and will soon be implementing it using the relevant technology stack so that it reaches a wider audience.
Built With
java
jsp
postgresql | Easy Essentials | Easy Essentials web app connects you to the safest shops in your locality to help ease the perilous process of buying essential items during the lock-down imposed due to COVID-19 Pandemic. | ['Namrata J', 'Namrata Bhartiya', 'Purvika Shukla', 'Sheetal Jannu'] | [] | ['java', 'jsp', 'postgresql'] | 20 |
9,922 | https://devpost.com/software/book-it-z7rdo6 | Inspiration
Service providers such as hairdressers, cleaning workers, massage therapists, photographers, personal trainers, among others, have no way to earn money during the quarantine time. They also can't plan ahead, since they don't know when they are going to be able to work again. Once the curfew is relaxed or lifted, people will need those services again, so why not sell appointments in advance?
This idea was posted by Nikolas Engelhard on the discordApp.
The app is under construction.
Track: Business
Built With
android-studio
Try it out
github.com | Book it | "Book it" is a phone application that allows costumers to support service providers by booking and paying in advance services that they can use when the quarantine is over. | ['Saitel Agudelo', 'Nikolaus Pinger', 'Gizem Celebi'] | [] | ['android-studio'] | 21 |
9,922 | https://devpost.com/software/konnekt | Inspiration
What it does
Konnekt is a webapp to connect people and policy makers with real time COVID19 information in their region & match peers around the globe to reduce anxiety due to social isolation during the pandemic.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Konnekt
Built With
python | Konnekt | Konnekt is a webapp to connect people and policy makers with real time COVID19 information in their region & match peers around the globe to reduce anxiety due to social isolation during the pandemic. | ['Bhagyashree Uday', 'angelikiangel', 'Dimitris Bolis', 'Beril Can'] | [] | ['python'] | 22 |
9,922 | https://devpost.com/software/despread | Inspiration
In today's media everyone talks about negative side effects of political solutions on the spread of the virus often without using any quantitative evidence. For that reason and to help planning the next steps of the despread, we focus on a data-driven, cross-disciplinary simulation.
What it does
How we built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for DeSpread
Built With
python
r
rshiny | DeSpread | Crisis Management is not every politician's favorite work. For that reason, the DeSpread-Team decided to program a privacy preserving simulation tool to help with upcoming political challenges. | ['Johannes Piller', 'Patrick Reinert', 'Passant Abed'] | [] | ['python', 'r', 'rshiny'] | 23 |
9,922 | https://devpost.com/software/todo-together | ToDo-Together is just another Todo-App!
Inspiration
We as students of TUM are very happy that we are able to continue our studies from home despite COVID-19.
However, we also know how hard it can be to keep yourself motivated while studying alone. That is why we created ToDo-Together.
What it does
We all know how hard it really is to work from home. You get up at noon, do one or two minor tasks and the next thing you know
you've watched Netflix until midnight, so you end up sleeping-in the next day, and the cycle continues.
Not anymore!
ToDo-Together is an App that connects your tasks with your friends.
You can make a normal ToDo-List, but all your friends have access to your tasks. Now, your friends know when you're slacking
off again to keep you motivated.
But ToDo-Together not just about your friends keeping track of you. It also comes with a feature which lets you directly copy
tasks that you see on your friends ToDo-List to your own. Now you can either try to finish that task before your friend does or
work on that task together (recommended!). Either way, every ones productivity is boosted!
How we built it
Our project is a Web-App built with Vue.js as Frontend and Flask as Backend.
What's next for ToDo-Together
The next step for our project would be to create a sub-version, just for students: With the student-edition, instructors and
lectures have the possibility to create "Organisation"-Accounts with their own ToDo-List. Students who attend the specific lectures
will automatically get all tasks for that lecture on their individual ToDo-List.
Built With
python
vue.js
Try it out
github.com | ToDo-Together | Keep each other motivated while studying/working from home! | ['Nathaniel Tornow', 'Leni Rohe', 'Leon Windheuser'] | [] | ['python', 'vue.js'] | 24 |
9,922 | https://devpost.com/software/youlearn-ai-v65nb1 | DataFlowScheme.png
Inspiration
As most of us are students, we were really interested in improving the quality of online education, especially in such an extreme time.
What it does
The platform analyzes a student's behavior during an online lecture and leads through the educational materials in the most easy-to-understand and productive way. The AI team analyzes how attentive and interested the student is, using only a webcam for further recommendations to increase the learning efficiency.
How I built it
We used open-sourced light-weight deep learning models for both body pose estimation and 3D head pose estimation. Then we built a tiny network on top of the outputs from previous models, and trained the network to classify the student's current state. All models worked in real-time on CPU so that we could deploy one of them into a web, connecting with front-end part.
Challenges I ran into
Most open-sourced solutions were difficult to reproduce. Especially in the case when we wanted to run different networks in a single pipeline. We had to start from the beginning several times because of the inconsistencies between models. And at the end we could find out and set up such solutions that fitted our goals perfectly (could run in real-time and were robust enough) and worked together under the same environment.
Accomplishments that I'm proud of
We made a small research on how much visual features are correlated with attentiveness, and which features are most important for it.
What I learned
Building up working solution in a short amount of time and being able to iterate through different approaches.
What's next for YouLearn-AI
YouLearn-AI is better than attending university.
Built With
dlib
opencv
python
pytorch
tensorflow
Try it out
github.com
youlearn.kontr.io | YouLearn-AI | AI powered Personalized Education for everyone! | ['Zhakshylyk Nurlanov', 'Andreas Döring', 'Sam Giles', 'Sachin Singh'] | [] | ['dlib', 'opencv', 'python', 'pytorch', 'tensorflow'] | 25 |
9,922 | https://devpost.com/software/covidtrack | Inspiration
One problem with COVID-19 is that infected people don't know when they should go to the hospital. We have an idea how to inform the patients, based on certain health indicators, at which point they should search professional help. It involves the usage of pulse oximeters/smart wearables and health data.
What it does
Our idea was to focus on the app dev, as there are already functional bluetooth pulse oximeters in the market which can be used for the data generation. Also, there are apps (like Oximeter, Whoop) which can track metrics like SpO2, Respiratory rate or Pulse. However, they are not using any thresholding on these metrics and won't notify you when your oxygen levels are critical. This is our USP. We want to develop a thresholding algorithm, which would notify you when your health status is critical. If your health stats are in a dangerous zone, you will get a recommendation to contact your local physician, who will decide the further measures to take.
How we built it
We used data from an israeli clinic which provided us with SpO2, Respiratory and Pulse metrics. In Matlab AppDeveloper we created a thresholding algorithm to inform users about their current health status. There are the three different states for each metric:
Green = Metrics look good
Orange = Pay attention
Red = Get in contact with your physician
What's next for TrackCovid
We are also thinking about:
-tracking live sensor data from smart wearables via bluetooth.
predictive monitoring, where you will be notified even before you have serious breathing difficulties
integratating information about nearest hospital with free capactiy
integrating video call (e.g.CGM Clickdoc or doccura.de) with physician to facilitate communication
References
Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals (2003). Circulation. 101(23):e215-e220.
Built With
matlab
mlappdesigner
Try it out
github.com | TrackCovid | A monitoring app to track important health metrics related to COVID-19 disease. | ['Adam Misik', 'Andrea Gorriahn'] | [] | ['matlab', 'mlappdesigner'] | 26 |
9,922 | https://devpost.com/software/locavid | A Locavid Logo
Screens on Phones
Welcome Screen
Login Screen
Main Map Page
World Map Page
Early Design
Inspiration
In this day and age an infectious disease can easily spread across the world causing a pandemic. Both developing and developed countries are suffering the repercussions of COVID-19. Many people believed that Western countries were prepared for the possibility of a pandemic, but in truth they were not. Other countries like South Korea however, are effectively fighting against the spread of COVID-19. One interesting and effective strategy employed by the South Korean government is releasing past location information of confirmed patients. As shown by South Korea, this is a viable solution but many countries cannot do the same thing due to privacy concerns. Inspired by this concept, we have developed an app that will implement this idea without invading upon people’s privacy.
What it does
Locavid tracks the locations of users spanning back a week. It enables the users to view paths taken by people that have since tested positive for COVID-19 or other contagious viruses. Should users test positive they are able to share the paths that they have taken with their friends and family, and with the user’s permission they can anonymously share their data and contribute to the global map for the general social good. Most importantly, Locavid can help users avoid potential COVID-19 hotzones as well as helping their friends and other users avoid them as well, thus lowering the infection rate.
How we built it
We have created an app with Flutter, and used various packages. We used Firebase from Google Cloud to communicate for our database.
Challenges we ran into
All of our team members had never had experiences with Flutter before we started working on this project.
Accomplishments that we’re proud of
Built a complete app that has essential functionalities that we had planned
Built a user-friendly graphical interfaces for mobile with Flutter
What we learned
We have made significant progress on learning and understanding Flutter. We also were able to gain an understanding of how to link Flutter to Firebase and have them communicate.
What's next for Locavid
Expand our idea and app throughout the world to help governments that have various problems of tracking down their infected citizens to slow down spreading the COVID-19
Cooperate with big companies such as Google and Apple that store locations of their users to help out people in the current pandemic situation
HR-Hackathon Project id: 36
Built With
android-studio
dart
firebase
flutter
Try it out
github.com | Locavid_36 | Help the world by sharing your past locations | ['Jeong min Cho', 'Enes Tasbasi', 'Helen Shi'] | ['First place hackathon'] | ['android-studio', 'dart', 'firebase', 'flutter'] | 27 |
9,922 | https://devpost.com/software/v-date | Matching Page
Video chat
Virtual background
Logo
Inspiration:
Due to unfortunate circumstances, people are increasingly affected by isolation. A lot of dating applications have reported the increase in usage during social isolation, but most of the conversations end up being a chat (and nothing more). This leaves negative impact on the mental health of people. The time demands that people get access to the dating solution that can provide them with the best possible and realistic dating experience while staying indoor. It is becoming increasingly hard to start a meaningful relationship as that requires actually going on a “date”. We are here to solve the problem of dating due to social isolation and we have developed a platform that can help us in finding a “date” in these unprecedented times.
Mission:
Bringing the world closer, two people at a time.
Vision:
Our vision is not only to help people find a date but also tackle the mental and cognitive health-related challenges that have arisen due to social isolation. More than that, we intent to make social dating a new norm as we adapt to post-covid-19 world.
What it does:
We have created an application that will help people in social isolation by not only helping them find a good match but actually taking them on a “virtual date”. We provide the environment for the virtual date in terms of finding a match, scheduling a date, setting up the virtual menu and venue, setting up the right music, indulging in exciting games and more to make their virtual date as real and exciting as it can be.
How we built it:
Our MVP is a web-based application. Development work includes the front-end development of the application, back-end of the application, interface for picking the right partner and live video feature for going on a virtual date.
Challenges we ran into:
Challenges faced by our team include both the technical and management challenges. To manage a highly technical project while ensuring the social distance was a challenge in itself. In addition, there exists no solution that falls exactly in the category of some of the features offered by V-Date, so doing the market research offered its own challenges.
Due to a highly skilled team, we managed the technical work smoothly but still the feature of creating a complete virtual environment by training the system to be able to recognize the human in the video was a challenge, and it still demands work to reach a good level.
Accomplishments that we are proud of:
Accomplishment we are most proud of is our teamwork, the way everyone managed to get the work done in the limited time while working from a different locations. Other accomplishments include major progress in video background removal for creating a virtual environment. In addition, being able to create an application that is already close to MVP state in a limited time is a big achievement. But we strongly believe that all these accomplishments will fade away if you can manage to play our part in spreading love and bringing the people together.
What's next for V-Date:
Video background removal improvement.
Adding games and pop-up guide questions for the virtual date environment.
Adding synchronise music in the virtual date environment.
Adding security features in the application.
MVP finalization and testing it in the market.
Making the application available to the public.
APPLICATION DEMO VIDEO
Built With
c++
mongodb
node.js
python
react
Try it out
www.vdate.xyz | V-Date | Virtual date during social isolation. | ['Faran Ahmed', 'Anh Montag', 'Muhammad Faizan', 'Usama Pervaiz'] | [] | ['c++', 'mongodb', 'node.js', 'python', 'react'] | 28 |
9,922 | https://devpost.com/software/qs-for-covid-19 | Inspiration
A lot of anxiety is in the air these days. Many people have to come to terms with a whole new rhythm of life. Old habits disappear and new ones appear, which is where a lot of potential for self-development is hidden.
It can be hard to stay mindful and keep personal goals in mind when everything has changed - that's why there should be a digital companion for this!
What it does
I created a prototype for an app that combats the negative effects of the COVID-19 on people's mental health and motivation.
The main functionality is to let the user set mindfulness and health related tasks, keep reminding of them over the day, and review the achieved goals in the evening. The app is not yet reactive to user input, but the prototype offers a convenient and pleasant walkthrough of the intended user experience.
How I built it
I used the
Jobs Done!
app as a base for UI elements and flows.
Challenges I ran into
New framework, most of the time I was Googling why something didn't build.
Accomplishments that I'm proud of
The app reacts to local time and has a different morning, day and evening mode.
I am also very happy that I got the app working with a new data format I had created, 20 minutes before the submission deadline :-)
What I learned
React Native for Web.
What's next for QS for COVID-19
The plan is to provide daily questions to track what has happened, with a focus on health and self-improvement goals. The user can select those goals freely - maybe start building a habit of meditating, or being outside for at least half an hour, or cooking one healthy meal a day?
I hope to combine this
quantified self
functionality with a dash of gamification. Corona credits shall be awarded to users for persistent habit-building during difficult times!
Ideally, the app will involve its user community through a platform to share ideas and accomplishments.
Photo by
Aziz Acharki
on
Unsplash
Built With
react-native
Try it out
github.com | QS for COVID-19 | Insight - mindfulness - balance. A companion through difficult times. | [] | [] | ['react-native'] | 29 |
9,922 | https://devpost.com/software/youlearn-front-end | Video Player View
User not paying attention
Dashboard
Chat
Quiz integration
Suggesting a Deep Dive
Basics
YouLearn is a web tool for personalised education. It is especially developed with A.I. integration in mind, enabling the connection to websocket for sending live webcam ('sensor') data and receiving events based on that data - e.g. "User is not paying attention" or "User seemes very interested". Based on those events we can dynamically select the Videos that the User is seeing. We also feature after each video, which enable us to once again differentiate between students interest and assign them e.g. a more difficult video or let them repeat the previous video if they failed. Furthermore we offer the ability to enhance pre recorded lectures with an autoscrolling transcript as well as a chat which can be used to contact tutors for example.
Functionality
Live scrolling lecture script
Intermitant quizzes that check study progress and attention
Attention detection using the users web cam
Display suggestion for a "Deep Dive" when the user seems interested *
Chat function enabeling direct connection to e.g. tutors
*
interest detection using ML has not been fully implemented
Testing
A
Live Demo
is available.
The lectures are filled with dummy data, but most functionality can be tested:
e.g. Quizzes, Transcripts, Attention Detection
The attention detection uses the AI integration to notice when the user looks away and offers actions accordingly.
Further options are available through the 'debug' options in the top left corner.
Built With
javascript
python
react
rust
Try it out
github.com
youlearn.kontr.io | YouLearn - Front-End | YouLearn - Taking personalized learning to another level. | ['Jakob Steimle', 'Aqib Ansari', 'Ewelina Gromada', 'Sam Giles'] | [] | ['javascript', 'python', 'react', 'rust'] | 30 |
9,922 | https://devpost.com/software/should-i-stay-home | Germany currently is the 5th hardest-hit country worldwide by cases of COVID-19. As states such as Bavaria enter their fourth week of quarantine, one may start to wonder whether lockdowns are sensible at all. To avoid such misconceptions and educate the broad public on the impact staying at home can have, we created a website in which the user can enter their city and modify a social distancing factor to obtain the number of lives saved.
A social distancing factor of 0% corresponds to the worst-case scenario where people go on their days as usual, visiting restaurants, concerts, parties, and other social gatherings. Conversely, a factor of 100% recreates the conditions observed in countries that have undertaken harsh lockdown measures (e.g. China). As the slider is moved to the right, the difference in fatal COVID-19 cases is shown to the user as the number of lives spared.
We believe that combining a very intuitive to use website with an approach favoring positive reinforcement has a much greater potential to change a societies’ behavior than its draconian counterpart: using fear, panic, and death counts to coerce people into confinement. If interested, the user can access an explanatory page detailing our mathematical ansatz or ways one can integrate social distancing in their lives in a healthy manner. Our first prototype used Matlab’s App Designer to create an interactive SIR Model as a proof of concept, from which we derived our algorithm that is attached to this project submission. In order to be able to execute it in a browser, we used a JavaScript Ordinary Differential Equation solver.
The first big hurdle turned out to be finding the right model for the simulation running in the background, since we had to take the very short span of time allotted to us into account – time which we had to balance with accuracy. The biggest challenge, however, was setting the REST API up so that it could interact with JavaScript code. Since we had never built a web application, we had to learn a lot from scratch. Nonetheless, tinkering around with the API allowed us to integrate Fusionbase’s dataset into the website.
Besides being an innovative concept, we are proud to have made “Should I stay home?” be based on real-time data precise down to the city level. In the future, we plan on extending its ambition by working with datasets that go beyond Germany, opening it to anyone, anywhere.
Built With
css
fusionbase
html
javascript
matlab
rest-api
Try it out
shouldistayhome.de
github.com | Should I stay home? | A website that shows the impact social distancing can have, raising awareness through positive reinforcement to educate Germany on why staying at home is essential to save lives. | ['Daniel Petri Rocha', 'Kevin Scibilia', 'Raphael Schmid'] | [] | ['css', 'fusionbase', 'html', 'javascript', 'matlab', 'rest-api'] | 31 |
9,922 | https://devpost.com/software/trustcov19 | Inspiration
Through the pandemic, countries like China used case to case method to find infected people and slow the spread of virus. The method to do so however violates the data privacy of citizens in countries like Germany. Citizens won't accept the same approach from their government.
What it does
What I like to achieve is to create a way that explains the non CS citizens how we can have a secure app that does the same when it comes to slowing the spread
How I built it
I will use python, pytorch and I will leverage the information presented in the tutorials to understand the methods and then simplify the way it can be done
Challenges I ran into
Yet to cone
Accomplishments that I'm proud of
Learning about secure ML
What I learned
Security in data science, ML
What's next for TrustCOV19
Embedding these techniques in the final project
Built With
ppytorch
python | TrustCOV19 | Making citizens accept tracking applications through explaining the capabilities of secure ML | ['samin hamidi'] | [] | ['ppytorch', 'python'] | 32 |
9,922 | https://devpost.com/software/all-the-right-measures | Inspiration
Nobody is really sure how to best act in the fight against Covid19. To know which measures can most effectively reduce the spread of the virus would be extremely helpful. By now the virus is with us for a long time already and a lot of countries have taken different measures that influenced the spread. Our mission in this hackatum was to find out which measures worked how well.
What we did
Using data analysis techniques we extracted different findings that put in relation different measures to their effect. This could be used as a general guideline for deciding on which measures to take and which ones to drop.
How we built it
We used the following dataset for information about which country took which measures:
Furthermore we took data about daily new Corona cases in all countries from the WHO website:
We applied data analysis techniques to extract measure effects using the change in the new cases number from all countries where a specific measure was applied.
Challenges we ran into
The biggest challenge was to deal with noisy and incomplete data. As the crisis is still proceeding some effects could not yet show their full impact. Additionally the reporting of measures varies sometimes massively from country to country.
Accomplishments that we're proud of
We feel like we extracted some useful information.
What we learned
Even in a short amount of time, with relatively limited data and comparably simple techniques it is possible to distill way more information from given data than you can see by just looking at the raw numbers.
Built With
pandas
python
Try it out
github.com | All the Right Measures | If we knew the right measures to take, we could have less restrictions and more impact against Covid-19 | ['Ege Ozsoy', 'Chantal Pellegrini'] | [] | ['pandas', 'python'] | 33 |
9,922 | https://devpost.com/software/coronanent | This will be edited.
Built With
firebase
swift | Coronanent | A mobile app that connect corona virus patient to other people. | ['Soner Durmaz', 'Buğra Kütükoğlu'] | [] | ['firebase', 'swift'] | 34 |
9,922 | https://devpost.com/software/civa | Logo
The principal inspiration to develop this App comes directly from the spirit to help as many people as possible. We are aiming to inform people about this general situation, but mostly to provide them a tool to guide them through these difficult times. Through the App, people will be able to know the availability of essential products on markets in their area. The system can identify real people's concerns and gather insights.
Some challenges we went trough were making the Bot "more personal" and adding grocery stores. But we still are happy to have finally created a chatbot in which people can inform themselves and remain calm. We learned to make the best out of this short time challenge and make a useful App for everyone.
The next step is to scale the App to more locations and improve its functions to make it more valuable to people. It is also essential to analyze the queries and real concerns for different segments of users and, in this way, make the App more personalized.
Download Testflight and press the link from your iPhone.
iOS testing:
https://testflight.apple.com/join/v2DnjXEY
Github Flutter App:
https://github.com/Ludwigvsch/hackatum2020chatbot
Github Heroku Server:
https://github.com/momenator/civa
Built With
dialogflow
firebase
flutter
Try it out
testflight.apple.com | Civa | Civa is the app every person needs to be first informated, manage the chaos and keep calm | ['Sara Santiago', 'Ludwig von Schoenfeldt', 'momobi :3', 'Sachin Singh'] | [] | ['dialogflow', 'firebase', 'flutter'] | 35 |
9,922 | https://devpost.com/software/polyvent | Polyvent
GIF
Normal Operation
GIF
Settings Dialog with Alarm Trigger Settings
GIF
Alarm and Clear Alarm Button
Offline Ventilator View
Inspiration
We started working on a vaccine but quickly hit a wall (cannot program vaccines). After scrapping that idea, we registered at
hackaTUM
.
[Jokes aside]
Our main inspiration is (of course) the ever-present
Covid-19
pandemic. We did not want to sit at home and waste our time doing nothing.
hackaTUM
gives us a great opportunity to join other inspired students and try to make our contribution to solve this unprecedented crisis. Also, the hackathon gives us the chance to gain knowledge and experience in organizing projects.
What it does
We developed a monitoring platform for ventilators (lung monitoring). A physician can use the platform on a tablet to observe the status of multiple patients at once. Additionally, the physician is alarmed when there are anomalies in the data (e.g. patients vital signs are critical). Without the need to check on the ventilators constantly, the physician can be occupied with other important tasks.
The observed data includes measurements from the ventilator itself (flow rate, pressure, volume,...) and also vital data (blood pressure, heart rate, oxygen saturation).
How we built it
The data we use is from
Infineon Technologies'
API. Additionally we have added simulated vital signs for analysis/monitoring. This part is handled by our
node.js
data simulator. Each instance of that simulator represents one ventilator.
The data is then transferred to our main
node.js
server using
socket.io
. That server processes the packages (SQLite DB) and displays the data in graphs (
chart.js
) on a web interface (
next.js
). The web interface is optimized for tablets for maximum utility.
What we learned
We have had multiple learning experiences over the course of the project.
At first, coming up with the structure of the project, especially in such a limited time, was very challenging. Communication is key, especially in that phase of the project.
When we actually started to develop code, we needed to learn about different new packages and systems. Thankfully the environments we worked in (e.g.
node.js
) are relatively forgiving. :)
Also, we learned that health data can be very tricky to handle privacy-wise. You do not want any third parties to have access to people's vital data. While we discussed that aspect, one weekend was obviously not enough to build a system that protects the data of patients sufficiently.
What's next for Polyvent
Integration of
electron
to get a better user experience
Reunification of the
Polyvent
software with an actual
TheOpenVent
ventilator
Save the world from Corona
Built With
chart.js
express.js
next.js
node.js
socket.io | Polyvent | Software for monitoring for multiple ventilators at the same time | ['Bernhard Vorhofer', 'Christoph Wen', 'Aleksandar Jevtic', 'Sébastien L.'] | [] | ['chart.js', 'express.js', 'next.js', 'node.js', 'socket.io'] | 36 |
9,922 | https://devpost.com/software/volunteer-placement | Inspiration
During difficult times like the Covid-19 crisis, local organizations face numerous challenges.
For example the work of social organizations like soup kitchens is needed more than ever and therefore more supporting volunteers are necessary.
Another pressing problem is that small companies and start-ups might face financial challenges and struggle to pay new employees. Volunteers can help them with specific tasks.
Last but not least many people feel powerless during this crisis and want to help with their specific skillsets - unfortunately, it is not obvious which organizations need their help.
What it does
Here helps HeroConnect - we connect heroes with opportunities! On the one hand local organizations can post their specific work offers conveniently easy and fast. On the other hand volunteers can create a profile with their personal information and skills and can easily browse through specific activity fields and functions in their local area.
This solves the challenges mentioned above. Organizations which are in need of support get matched with volunteers looking for help.
How we built it
The frontend is based on Vue.js, a JavaScript based framework to build responsive websites. Gorilla/Mux is used to build a REST API to allow communication between front and backend. The backend itself uses Google's Golang in combination with a PostgreSQL database to persist userdata
Accomplishments that we are proud of
Within only two days we accomplished to create a solid prototype which can be rolled out really fast into reality.
We are sure that our platform can generate a great impact in order to support local social organizations and small companies during the crisis.
What's next for HeroConnect
HeroConnect needs both people who want to make a change and local organizations offering volunteer work. Therefore, we will start to contact social organizations to help reaching more people and advertise the platform trough multiple channels.
Before that, one last step for guaranteeing functionality is connecting the database with our frontend and hosting the platform on an open webpage.
(HeroConnect was formerly called VolunteerPlacement.)
Built With
css
golang
html
javascript
postgresql
Try it out
github.com | HeroConnect | We created a platform to match volunteers with local organizations to help during the Covid-19 crisis. | ['Marc Alexander Kühn', 'hohmannr', 'Lukas Huber', 'Severin Knebel'] | [] | ['css', 'golang', 'html', 'javascript', 'postgresql'] | 37 |
9,922 | https://devpost.com/software/numerical-time-domain-model-to-forecast-covid-19 | Why Forecasting?
The outbreak of an epidemic is a process that often needs to be controlled by authorities. At the same time numbers of infected people do not correspond to numbers of people which are confirmed diagnosed. Only the number of diagnosed people is available as confirmed data source while the number of actual infections can be significantly higher.
The faster the infection spreads the more difference is in between these two numbers and the more difficult it is to provide a solid method of control strategy.
It get's even more difficult if people are not diagnosable but infectious for a longer period of time either because infectious people do not show symptoms yet or symptoms are not strong in a large number of cases.
This is what is called a Dead Time System. A system that reacts on changes of its surrounding with a delay. Only after that delay changes get visible in numbers. So if authorities decide to apply restrictions trending of the infection rate will only change after that delay time. That makes it extremely difficult to make the right decisions.
Covid-19 is such a dead time system.
Making desicions without having a forecast that provides information about the results of that decisions (which are only visible in the future) the whole process is prone to errors due to late action and following overreactions.
No forecasting can be perfect, in fact it can be totally wrong if some assumtions were wrong. But at least it can be possible to get an idea of how the system reacts on changes in principle. And in case the assumptions were right and the model parameters are stable, forecasting can provide a quite solid information for the near future, even if the results for distant future are totally wrong. And that information might be sufficient to make good decisions.
We could not find any good forecasting information for Covid-19 on the web. There are some good publications of mathematical models but unfortionately without real calculations with real numbers. So we made our own.
And again a disclaimer: We are not professionals in virology. We have a solid understanding of math and that is only a try to use the available numbers of cases to create a model that seems sufficiently accurate to us. A virus might behave different than we assumed. People in a country might behave different than we assumed. This can change everything and our calculation can be totally wrong.
Assumptions
First we made some assumtions. The most important one is that there is no immunity at the beginning and everybody could possibly get infected (this might - hopefully - be wrong). So the number of infectable people at the beginning is exacltly the population of the country.
Another assumption is that the virus itself will not change a lot in terms of how easy it spreads under the same conditions. It is known by specialists that most viruses tend to get more likely to be spread as it mutates but we neglegt this for simplicity.
The third unknown is how many deaths are to be expected compared to the number of total infections. As authorities only count the number of diagnosed people there is definitely the possibility of dignosable people not getting a dignosis and so not being counted. But we had to decide which death rate to use in the model. We decided to use the number of 0.5% which is known from South Korea. We think the lowest known number must be used in any calculation of death rates as all other countries which have higher rates just did not diagnose all diagnosable people. Of course this might also be the case in South Korea and so in fact we expect the actual rate of death to be even lower then 0.5% when people get proper medical treatment. Also we do not take into account that overloading of medical infrastructre may increase the rate of death at a later point in time.
As a calculation with large numbers we do not track down effects to single persons or single regions in a country. We expect the model to be a system of mean values. So numbers in some regions may be higher while being lower in some other regions.
Furthermore we implemented methodes to model social restrictions that are variable in time. We do not know the exact effect of different methods of social restrictions as nobody ever tried this before in Germany. So we do an estimation at this point. After some time the model is able to learn which type of social restriction causes which numerical reduction of infection rates. We are able to learn this from other countries that are ahead in time. But countries with different social, political and technical background cannot be compared to each other that simple. For example we assume that closing down schools will reduce the overall social activity by 20%. At this point in time we have no idea what amount of reduction further methods of restriction will bring.
Last it is assumed that one person can get the disease only once in the near future. The model assumes that once someone got the disease that person will either get immune after some time or die. That person cannot get the disease a second time.
How we built it
All the calculation is done in your browser in javascript so everybody is able to see the source code, copy and check it and apply changed to it. Data from Johns Hopkins University is downloaded from github to our server for caching and to reduce stress on github.
What's next for Numerical time domain model to forecast SARS-CoV-2?
Goals for this project are a more user friendly interface to change variables on the fly for simulation of different dynamics as well as the addition of more countries to further understand the efficiency of the measures taken by different states to further improve the model.
Built With
css
html
javascript
Try it out
covid19.flon.me
git.strnmn.me
github.com | Numerical time domain model to forecast COVID-19 | Forecast COVID-19 to provide a better decision base | ['Peter Diener', 'Flo Neumann'] | [] | ['css', 'html', 'javascript'] | 38 |
9,922 | https://devpost.com/software/lockdownshopping | Inspiration
Small business are especially at risk during these times and often don't have the funds to transition online on their own.
What it does
lockdownShopping is a platform on which shops can offer
How WE built it
We built the backend api with python flask and sqlite. The frontend was made with react.
Challenges we ran into
None of us had any experience in creating an backend.
Accomplishments that I'm proud of
Finally deploying the python app after 25 tries :)
What I learned
A lot about react and flask.
What's next for LockdownShopping
Adding payment methods
Built With
flask
javascript
python
react
sqlalchemy
sqlite
Try it out
github.com
t4kum1.github.io | LockdownShopping | A way for small shops to (partially) open during lockdown | ['Prome1heus _', 'Wen Qing Wei'] | [] | ['flask', 'javascript', 'python', 'react', 'sqlalchemy', 'sqlite'] | 39 |
9,922 | https://devpost.com/software/opus-motus | Inspiration
The pandemic has taken the world by surprise and we had to swiftly change our habits. Working from home or even in a socially distant environment makes it hard to adopt new habits with these changes in the working environment.
A decrease of productivity is as a result a common problem that a lot of workers face. Through this project, we aim at providing a tool that allows the workers to enhance their productivity by keeping their activities in check and accumulating a score based on these activities.
The activities are divided in two main categories: central and peripheral.
The score will depend on both of these classes, because lifting weights in a work break is also a sign of productivity !
Opus means work and Motus means motivation in latin. This project aims at increasing productivity by keeping track of your effort put into work and other activities.
What it does
The ground principle is inspired from the Pomodoro technique. Having units of time that alternate between work and breaks. The breaks will help you assess your productivity.
The activity detection allows the allocation of a score based on the accumulation of the activities. A higher score will be allocated to the main activity and smaller scores for important but non central activities.
At the end of the day, an evaluation will be available to assess your productivity.
How I built it
Activity detection uses a prediction API from the Custom Vision of Azure: it allows the detection of the current activity (coding, cooking...).
Challenges I ran into
Web development is not a top skill of mine so I had to learn many things. Also, a lack of time as I couldn't dedicate the whole weekend to the hackathon and for this reason I didn't build a team.
Accomplishments that I'm proud of
The idea is for me a cool one, tackles an important issue and can be implemented without worrying about practicality and how it will transpose in real life.
What I learned
Using Custom Vision AI from azure.
Also, web development is not a top skill of mine so I had to learn many things.
What's next for Opus Motus
In the future, an enhancement of the overall look and the functionalities of the app is going to be implemented.
We will also include more activities suggestions during the break and give some recommendations to the users. For instance, pointing to them that they can eat more healthy based on the food images can be helpful.
Built With
azure
azure-ai
css
flask
html
javascript
Try it out
github.com | Opus Motus | Many people are not used to remote work, a decrease of productivity can involuntarily happen as there are a lot of distractions in a different workspace. Opus Motus helps you track your producivity. | ['Mariem Khlifi'] | [] | ['azure', 'azure-ai', 'css', 'flask', 'html', 'javascript'] | 40 |
9,922 | https://devpost.com/software/educats | Inspiration
University shutdown due to the Corona virus pandemic.
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Educats | Educats | A Hackatum 2020 project #hackaTUM_C0dev1d19 | ['Sihan Jennifer Zhao', 'Ninah Wambugu', 'Omar Ahmed', 'itsJS'] | [] | [] | 41 |
9,922 | https://devpost.com/software/autonomous-ventilator | Ventilator Remote Monitoring Dashboard
Neural Network Overview
Cloud Architecture
Algorithm Schematic Diagram
Technologies Used
Live Demo
Inspiration
The bulk of settings of the ventilator would be connected automatically by an Algorithm from the parameters observed.
What it does
The ventilator settings can be monitored and controlled externally using a mobile app or computer
The clinician can supervise the status of all patients assigned to him on his app
The algorithm can raise and send alarms to the clinician to attend the patient in case of a drop in health condition.
How we built it
Parameters to monitor from the other ICU sensors/monitors:
Patient status-work (RR, flow, EMG activity of diaphragm)
Ventilation: Expiratory time constant (E
T
CO₂)
Oxygenation (SpO₂)
Parameters to be set on the ventilator
Tidal Volume (V
T
) – a recommendation to use low V
T
Positive end-expiratory pressure (PEEP)- Low levels of PEEP (3 to 5 cmH₂O) are routinely used in patients on mechanical ventilation
The algorithm can adapt the ventilator settings to each patient’s metabolism to provide the oxygen required in the blood (oxygenation function) and to eliminate carbon dioxide(CO₂) (ventilation function).
Advantages of the proposed solution:
Patient-specific (dependant on lung condition) adaptation of ventilation
Decreases workload on the Doctors and Nurses, requiring less presence next to the patient
Supports all modes of ventilation (assisted, pressure, controlled)
Algorithm can learn from existing ICU data (knowledge-based) to adjust for the different modes
"inVent" is deployed on Microsoft Azure cloud services which are HIPAA and GDPR compliant.
Challenges we ran into
Limited in collecting datasets from ventilators and patients demographic datasets.
Connecting Simulink simulator for ventilator model.
Accomplishments that we're proud of
We're quite proud of participating in a team of highly skilled people from 10 years + experienced researchers and computer scientists.
Working prototype with limited amount of data and cloud infrastructure.
Deep learning modelling for automating mechanical ventilators.
What we learned
Learnt operational working of ventilators.
Team building and productive working
What's next for Autonomous Ventilator
Collecting more data for improving the performance of the algorithm
Connecting and collaborating with OpenVent team.
References
Platen, P.v., Pomprapa, A., Lachmann, B.et al.The dawn of physiological closed-loop ventilation—a review.Crit Care24,121 (2020).
Built With
azure
bootstrap
flask
matlab
mongodb
openvent
python
simulink
tensorflow
Try it out
meteor-flowery-burst.glitch.me
github.com
we.tl | Autonomous Ventilator | The bulk of settings for the ventilator can be controlled automatically by an algorithm from the parameters monitored | ['prabitha urwyler', 'Lambda β', 'Brijesh Modasara'] | [] | ['azure', 'bootstrap', 'flask', 'matlab', 'mongodb', 'openvent', 'python', 'simulink', 'tensorflow'] | 42 |
9,922 | https://devpost.com/software/openventum | OpenVenTUM - Use data today to save lives tomorrow
Inspiration
During the
Corona
(COVID-19) pandemic it became obvious that a
lack
of healthcare workers and equipment can cause a severe impact in the fight against the virus. The rapidly growing
shortage of ventilators
is becoming of dire concern. What is less widely discussed is the
concerning shortage of professionals
to manage ventilators, as increasing numbers of healthcare workers are becoming
infected, hospitalized, and dying
. We were inspired by this problem to provide a
cutting edge solution
, which can
significantly facilitate
the work of the doctors.
What it does
Our platform provides intuitive interface which shows
real time
ventilator information for multiple patients on the same place, so that the medical workers can monitor the health status of their patients easily on the go. This tool will not only
save time
, but it uses
AI
to automatically monitor the health status of the patient from the information provided from the ventilators. Another
special feature
of our platform is that in
critical
cases, when the patients are more than the ventilators, the AI can group patient(unsupervised learning) with similar ventilator needs.
OpenVenTUM
covers all standards and requirements for medical devices.
How we built it
We built this application using react, java, python and various packages to ensure the secure and smooth work of our platform. We collect the information retrieved from the API of the ventilators and save it in data base. We also implemented
Machine Learning
using scikit-learn library which analyses the collected data and interpreted it in order to obtain maximum efficiency.
Challenges we ran into
We used a lot of new technologies and it was hard to start, but once we got used to them, we accomplished most of our goals.
Accomplishments that we are proud of
learned new technologies
get to know with ventilators
teamwork
fun
What we learned
Through this platform, we learned the importance of using data and providing it in a user friendly way to help and save time. It is of a great importance to
arm the medical workers
with the best equipment, so they can maximise their efficiency and save
as many lives as possible
.
What's next for OpenVenTUM
get feedback and
improve
the current status of
OpenVenTUM
brainstorm ideas from doctors
add more patient status measurements from other devices
mobile application
References
https://www.lhsc.on.ca/critical-care-trauma-centre/mechanical-ventilator
System.out.println("We will come through this together!")
#stayathome
Built With
ai
canva
java
javascript
json
machine-learning
python
react
scikit-learn
spring
sql
unsepervideslearning
Try it out
github.com | OpenVenTUM | We are tackling the OpenVent challenge from Infineon Technologies AG to develop an open-source ventilator. | ['Ivo Hashamov', 'Radoralev Ralev', 'Ivan Stoyanov', 'Kalin Nonchev'] | [] | ['ai', 'canva', 'java', 'javascript', 'json', 'machine-learning', 'python', 'react', 'scikit-learn', 'spring', 'sql', 'unsepervideslearning'] | 43 |
9,922 | https://devpost.com/software/nette-geste | Main banner
Inspiration
The
COVID - 19
Pandemic is likely to put Healthcare professionals working on the frontlines across the world in unprecedented situations, having to work long hours under extreme pressure.This could bring about a mental health crisis in the medical fraternity with the risk of developing anxiety, fear or depression.
Healthcare workers are saving lives and risking their own as they respond to the virus.We owe it to these Health heroes, who have put their passion and commitment to their jobs ahead of all else.Our goal is to appreciate & support those who are on the front lines and show them that the World cares about them.
What is
Nette Geste
?
Nette Geste
is a web application that allows you to express your appreciation to your local Healthcare heroes from the safety of your homes. The aim of the platform is to express appreciation for the great commitment of healthcare professionals, especially during these times of the COVID-19 crisis. It will also connects all the organizations/ individuals who want to offer specific deals to the medical fraternity to express their gratitude in the ''Deals'' page.
How we built it ?
The Front-End development of our Web app was accomplished through Vuejs and Vuetify UI library with VS Code as IDE and Git as version control.
Challenges we ran into
We had to learn how code in Vuejs from zero as none of us had developed a web application from scratch before. We weren't able to build and backend for our app as we spent way too much time trying to make the front-end presentable.
Accomplishments that we were proud of
We were able to coordinate well together remotely given that this our first time working together as a team.
We accomplished our goal of making a Minimum Viable Product (MVP) to show case our idea.
What we learned ?
Vuejs and Vuetify as well as how to effectively collaborate with each other remotely via Gitlab and Discord (from LRZ)
Everything can be done if we put our minds into it
What's next for Nette Geste ?
As of now, the app doesn't have the functionality of uploading photos and videos yet as we didn't have time to build the back end but that would be our first goal if we were to continue on this project.
We also would like to integrate a map/location function for the app so that 'gesture givers' can help bring foods/grocery/essential items to their nearby healthcare workers.
Built With
vue
vuetify
Try it out
gitlab.lrz.de | Nette Geste | Bring smiles to the people fighting for us | ['Nayanesh Pattnaik', 'Bax Trx', 'Hien Nguyen'] | [] | ['vue', 'vuetify'] | 44 |
9,922 | https://devpost.com/software/covid-predictor-ck3sye | Title
This is an attempt to predict the number of COVID cases in an area in the near future. These numbers are important to take precautionary safety measures and allocate necessary resources in order to tackle an adverse situation. For example, the area that's predicted to have an increased number of cases can be pre-supplied with proper medical equipment.
Intuition
I have used LSTM based model for making the predictions. LSTM works great with sequential data. The intuition was pretty basic. Say, in an area X, the number of COVID cases have been recorded as 5, 10, 12, 18, ...100 and so on. We want to find (predict) the next number in the sequence. As the disease is contagious, the sequence takes almost a monotonically increasing form. However, we cannot have an exact mathematical function to predict the number. Thus deep learning comes to play, which by its inherent black-box nature, tries to estimate what the next number could be.
Data
I have used the COVID data for
Germany
. This data informs us about the district wise number of COVID cases in Germany. The data is in a timeseries format (ideal for LSTM), and multiple updates are made to the database each day.
The Process
Obtaining the raw data
There are multiple ways to get the data. You can download the data as a whole csv file, or you can make API calls. In order to save coding and testing times I opted for the former. After obtaining the entire dataset that spanned over 1-1.5 months, I had to trim the dataset, because it had multiple entries for same days, and I needed only the latest data for every day. This was done by sorting the data by timestamp of entry, and grouping by date(day) and obtaining the latest data for each day.
Data pre-processing
Label Encoding
I had decided to use
area_names
and
bundesland_names
as features, because by intuition it is evident that certain places are better at dealing with the pandemic than the others. However, to feed this categorical data to the model I had to perform Label Encoding. I kept the Encoders for future use.
Scaling
population, number of cases, cases per 100k
were also important features in the dataset, but they needed scaling before we could feed them to the model. I used MinMaxScaler() for the same, to bring down the values between 0 and 1. I also kept the Scalers for future use.
Obtaining sequential data (for training and testing)
Now we need sample points for the model. Let's think of each point as (X,y) where X is the input and y is the output. Each input point is a sequence of COVID data in a particular area for 7 days, and each output is the mean of COVID case numbers in that area for the next 7 days. Thus, we are asking the model a question -> "Hey, if I tell you the sequence of how was the situation last week, can you tell me the mean (average) number of cases next week?".
The LSTM model
I used 4 LSTM layers (CuDNNLSTM since they exploit the NVIDIA GPU and training is faster) with 128 units each, interspaced with 20% percent Dropout layers to prevent overfitting. I used the 'Adam' optimizer and 'Mean square logarithmic loss' for the model compilation and trained the model for 100 epochs. These numbers are obviously Hyper-parameters, and if I had more time I would have done a Grid Search to obtain the best set of parameters.
Results
I obtained an R2 score (R2 score is preferred for regression problems) of more than 90 percent. I then used the trained model for predicting the mean number of cases in the future in an area by feeding it the latest data available for the area.
The model is making reasonable predictions for areas that are moderately affected by COVID in this particular dataset (example Darmstadt, Stuttgart etc.). Its predictions suffer when dealing with the areas with extreme case numbers like Berlin or Munich.
This can be further worked upon.
Future plans
I would also like to merge the data with weather data to see what effects weather changes have on our predictions, and identify if weather may play a role in covid numbers.
Then I would also like to check with mobility data (movements of cars/taxis/people) to identify how big a role social distancing is actually playing in controlling covid and what drastic steps are actually not needed and what steps can be granted to ease a bit of freedom of movement of the people during this hard time.
Built With
machine-learning
python
Try it out
github.com | Covid Predictor | Predict the number of Covid cases in an area in future. | ['somesh khandelia'] | [] | ['machine-learning', 'python'] | 45 |
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