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10,017 | https://devpost.com/software/specterai-rental-renewal | Inspiration
Automating document workflows is necessary to increase productivity of firms and leads to lesser manual errors.
When we combine the power of chatbots - (created on Telegram, Whatsapp and custom) and Machine learning the workflow becomes even faster and much more user-friendly.
We at Specter-AI started as a startup in Singapore during covid times to help ease their document workflows issues; providing industry grade security and a fully automated workflow system.
What it does
Core is of specter is based on a secure document hosting system which provides industry grade security for all the hosted files,
As per the Tenancy Renewal Flow; the RHMS module can trigger a notification through an API in Specter to notify registered user : via email, SMS, Telegram and whatsapp to know that their tenancies are due for renewal.
Once the user acknowledges the system can then auto generate the documents and letter that need to be sent to the end user and deliver them via all above said mediums.
The system can auto send notifications to the user as per the system configuration - this is fully configurable.
So user of the system has the power to upload their initial documents via Telegram Chatbot which guides the user through the process of uploading their documents and assemble them so that it can be automatically submitted for approval.
On The Bots as the person responds the system can generate a docusign based digital signature and then send it over to the user.
The user can then put down their initials using docusign and on submission the document gets automatically synced with the specter system and move to the next step of the workflow.
One the tenants sign the system can then notify the TA seeking approval or rejection.
the TA on specter system can look at all the documents linked to the case and then take the decision for approval or rejection.
In case of approval we can generate a digital fingerprint of the document and issues a open certificate based on
blockchain technology
which can be used by any agency to check the validity of the approval.
Highlights
Fully configurable workflow as per needs of the firms
Chat bots makes it easier to use the system
The system auto generates notifications
Incorporate 256 bit AES encryption for all files
Opencert technology as used by Singapore Govt to issue certificates in Universities like NUS etc.
The entire is uses OCR and machine learning enabling blazing fast search across documents
Since the system is customizable to any firm needs we can configure workflow and approval and it's linked notifications.
The notifications can be generated in many languages based on the system requirements.
How I built it
System currently is build on Enterprise JAVA and Angular JS with postgres as it;s database. Files are encrypted with 256 AES encryption.
Build on RESTful principal makes it easier to be integrated with any 3rd party system
What's next for SpecterAI Rental Renewal
specter need to work on whatsapp bot and smart document assembly engine to enable firms to assemble any ind of document and send over to clients.
Built With
angular.js
blockchain
docusign
java
postgresql | SpecterAI Rental Renewal | Automating Rental Agreements - Based on Blockchain and AI | ['Gaurav sharma'] | [] | ['angular.js', 'blockchain', 'docusign', 'java', 'postgresql'] | 0 |
10,017 | https://devpost.com/software/homenotalone | Inspiration
Problem statement shows the needs of mental health solution.
During research and ideation at
https://www.chat.mentalhealth.sg/
, their webchat showing offline messages.
What it does
A Counsellor Bot which provides Mental Health Triage when the human counselors are not available
How I built it
Using BERT-style language model pretraining
Challenges I ran into
-The Natural Language Processing AI need to be localized to Singlish.
Accomplishments that I'm proud of
What I learned
Need to do more research such as : Woo, Seonjin & Lee, Sang & Lee, Kwanghun & Seo, Wan & Lee, Jonghun & Kim, Hee-Cheol & Won, Seunghee. (2018). Characteristics of High-Intent Suicide Attempters Admitted to Emergency Departments. Journal of Korean Medical Science. 33. 10.3346/jkms.2018.33.e259.
What's next for HomeNotAlone
Built With
bootstrap
natural-language-processing
php
python | HomeNotAlone | A Counsellor Bot which provides Mental Health Triage | ['Ronald Simon'] | [] | ['bootstrap', 'natural-language-processing', 'php', 'python'] | 1 |
10,017 | https://devpost.com/software/kaizen-in-handling-covid19-reducing-leakages-closing-gaps | Problem Statement & Objective
Despite Singapore's best efforts, there are gaps and issues with regards to every process in this fight against Covid-19. As such, this project aims to minimise such issues via the idea of an all-in-one app that accounts for the numbers, breaks down and tracks every single process along with highlighting any issues to the user, in this case, the task-force team. The main inspiration came from one of the interviews shown on Channel 5, whereby a returning Singaporean gave feedback that there was confusion as his name was not initially highlighted to be quarantined after returning from a high-risk country. He went to clarify and found out that his name was indeed on the list. If he had not clarified and was a carrier of the virus, his case would have gone unnoticed, leading to a creation of a new cluster if he did not undergo quarantine. Imagine if many of such cases go unnoticed. Hence, such an app may be vital in making sure such issues are accounted for.
What it does
This is an all-in-one application which tracks every single process from the moment the traveller arrives in Singapore to the moment he/she has reached the end of their quarantine phase. This app makes use of analytics and feedback to communicate to users what the issues are so that they are able to make changes and enhance processes. For example, in the Arrivals section, there are travellers who are not accounted for and the staff raised the issue that there are travellers who insisted on leaving the airport, hence this will resonate with why there are people who are not being accounted for. With such issues communicated clearly, the task-force is able to work with the airport to implement changes by bringing on more security personnel and so on.
How I built it
I design the mockup using only Powerpoint. I referred to several other dashboards for colour scheme and design inspiration.
Challenges I ran into
Initially, I wanted to develop a functional dashboard using HTML, CSS and Javascript so that a user goes through the full experience and have a concrete idea of how the application works. However given the skill and time constraint due to me joining this event late along with me having exams during this period, I had to resort to just creating a basic mockup design. Another challenge I came across would be deciding what kind of features should be included in the dashboard.
Accomplishments that I'm proud of
Even though I am disappointed that my submission is not functional and very basic, I am proud of being able to contribute to the pool of ideas in one way or another.
What I learned
Deciding what features to be implemented is the most crucial step. This has to be done carefully and in a real project it will require quite some time.
What's next
In my free time, I plan on creating a functional prototype using HTML, CSS and Javascript.
Built With
powerpoint | Covid-19 Management System (Mockup Design) | An all-in-one app for the task-force to leverage on accounting and analytics to identify gaps and issues in every process in order to mitigate leakages and improve containment. | ['Khairul Anwar'] | [] | ['powerpoint'] | 2 |
10,017 | https://devpost.com/software/fast-entry-a0hu6b | Initial Landing Page
List of Locations
A rudimentary beta is available from the TestFlight link provided. A more complete version is being shipped to the App Store shortly.
Inspiration / Problem
Safe Entry is awesome — it allows the government to perform granular, location-specific contact tracing. It keeps us all safe. However, it doesn't always work as intended.
Congestion often arises during peak times. There's a certain irony at play here: Safe Entry was built to replace the physical sign-in board, yet people form long queues to scan the QR code for a "digital solution." This problem is especially pronounced at certain office buildings, where congestion builds up despite reduced capacity.
My Solution
Introducing, Fast Entry: an app which lets you move around Singapore quickly and safely.
Scan a Safe Entry QR code just once to save the location automatically to our database. This is especially useful for locations you visit frequently, eg. an office building or home apartment. (Don't worry, we never have access to your personal data — see the concerns section for more on that.)
The next time you visit that location, just select it from the list, sign-in, and you're good to go. Rinse and repeat on your way out.
How I built it
The app consists of an iOS front-end, which the user interacts with, and a Python backend. I built the mobile app using Swift, specifically SwiftUI. The backend is a Docker container, hosted on an AWS instance.
All designs were made using the tool Figma.
Moving Forward
I have released a very rudimentary prototype to a group of people for a closed-beta. The response is encouraging — they use the app daily. I've been building a more developed version with proper onboarding and better reliability & speed. That will complete in the next few days, after which I will submit it to the App Store and begin marketing.
The idea is to get it into the hands of as many people as possible, so that they can start using it when they begin leaving their houses post-lockdown.
The beauty of Fast Entry is that it becomes more useful as adoption grows, while still being useful in the early stages. Initially, people would use the app to scan and save locations they visit frequently. As our userbase grows, so would our database of locations, meaning it becomes more likely that future users can find locations in our app without scanning them first.
All in all, I envision people using Fast Entry as a more convenient way to move around Singapore. Instead of having to waste time queuing up, people can just select locations from our database, or add them if it's a new one. Reducing the friction involved with contact tracing is important for Singapore's long-term plan to reopen, and that's what I hope my app does.
Potential Concerns
Privacy
Fast Entry respects your privacy. We never track your location. Adding a new location is 100% anonymous. And at no point do we ever store your identifying data: your favourites, for example, are associated with your iCloud account, and Apple doesn't give us any information about it (beyond a nonsensical UUID).
Location Spoofing
When discussing the idea, several people brought up the possible problem of location spoofing. Their concern is that if you can just select a location from a list to open its Safe Entry, you don't have to physically be situated to sign-in to a place. That means that people could potentially sign-in to locations they aren't actually at, hence "location spoofing."
After further thought, I believe this is a non-issue. Consider the flow of events for a typical Safe Entry sign-in: you queue up to scan the QR code, sign-in, then you have to show the confirmation page to the guard before he/she lets you in. At no point is there any incentive to spoof your location! The only thing one might want is to skip signing-in altogether, which my app does not facilitate.
If anything, there is a strong
disincentive
for people to spoof their location: if you illegitimately sign-in to a location you weren't at and it turns out someone there tested positive for COVID, you would have to be quarantined for no reason.
Built With
amazon-web-services
docker
flask
python
selenium
swift
swiftui
Try it out
testflight.apple.com | Fast Entry | Save Safe Entry Locations | ['Khush Jammu'] | [] | ['amazon-web-services', 'docker', 'flask', 'python', 'selenium', 'swift', 'swiftui'] | 3 |
10,017 | https://devpost.com/software/kaching-a-new-way-to-make-pay-now-payments-easier | Logical Architecture Diagram
Proposed Customer Journey
Inspiration
In the recent past, the team has attended courses in Design Thinking, Lean Ideation and Product Management. One of the key learnings for the team was that any business proposition is viable when it reduces friction and eases the pain points of the customer. During a visit to a local barbershop post easing of circuit breaker restrictions) we observed first hand the number of steps and time needed to complete a Pay Now transaction. The team discussed the issue and felt that there is an opportunity for removing friction from the Pay Now customer journey and increase adoption in day to day payments in the Singaporean context (high traffic hawker center, stalls etc.)
What it does
We propose a new wrapping app: Kaching. Kaching will work with the APIs of all major banks. It will allow the buyer to scan a QR code or enter a mobile number and initiate payment. For the MVP, we will only focus on PayNow
The payment will flow using the PayNow platform and its APIs. Both the buyer and seller will receive a push notification on their mobile phones indicating a successful payment transaction. (The current PayNow notifications are via SMS which is difficult to store and search. A push notification is “free” and also offers an easily accessible transaction history inside the app)
Post MVP, this Kaching app can be extended to enable payments to a seller's PayNow account from any credit card, wallet or bank account. This will involve a set of transactions which will be handled by the app using available open banking APIs:
Step 1: Deduct payment from wallet/card. Credit payment to buyer’s bank account
Step 2: Transfer money from buyer’s bank account to Seller’s Paynow
How we built it
This app is at a conceptual prototype stage. We were inspired based on our understanding of Design Thinking and Product management and we attempted to remove friction from the customer journey of a Pay Now user.
Challenges we ran into
Lack of Technical resources especially due to COVID 19 pandemic to work on the prototype.
Accomplishments that we're proud of
If successfully implemented, Kaching will bring a smile on the face of every Pay Now user !
What we learned
Our ability to put ourselves in shoes of a common man and use applications like Pay Now, Pay Lah, Pay Anyone. Our team has a deep understanding of payments, having worked with a market-leading payments technology firm in the past and we have applied some of those learnings to come up with an innovative solution
What's next for Kaching - A new way to make Pay Now payments easier
We can partner with GovTech, Association of Banks, MAS and run a pilot project with one of the Pay Now Participating Banks. Our future product roadmap envisions integration with the wider diaspora of wallets and makes it very easy to perform P2P payments locally and globally
Built With
django
open-banking-apis
python
react-native | Kaching - A new way to make Pay Now payments easier | We bring an easier and faster way to make payments in every walk of life for the Singapore community leveraging Pay Now | ['Badar Sakriwala', 'Debashis Ghosh'] | [] | ['django', 'open-banking-apis', 'python', 'react-native'] | 4 |
10,017 | https://devpost.com/software/reboot-the-economy | Inspiration
Base on a recent survey that we did with over 50 freelancers and self-employed participants , 87.5% of their jobs were cancelled, 72.9% of them has no income and 60% has insufficient income to get by.
The COVID-19 epidemic has put many out of jobs. Businesses of freelancers and self-employed have come to a halt.
The idea of employment and what it means to be employed is evolving beyond recognition and even more so for the gig economy.
What it does
The SG United Work Campaign hopes to create 25,000 jobs & assignments for the unemployed, freelancers and self-employed base in Singapore. We aim to gather 100 companies to pledge to this campaign with the hope to achieve our goal by 31 December 2021.
Through the SG United Work platform we hope to create opportunities matching companies with talents, supporting the growth of the economy and helping freelancers, self-employed and the unemployed find work.
3 key focus areas:
Eases cash flow problems for companies and businesses looking to restart
Creates job opportunities for job seekers
Creates a talent pool for human resource to tap into to find the ideal job match
How I built it
Frontend - Flutter on Dart
Backend - Golang and gRPC
Cloud Platforms - Google Cloud Platform, DigitalOcean, AWS
CDN - CloudFlare
We are developing a mobile app to facilitate and support the process and at the same time creating community outreach through social media.
Challenges I ran into
We have created a survey, a campaign and an app but we were unable to reach out to as many people as we hope.
Companies may be reluctant to participate in the campaign as they are reducing their headcounts and may not be looking to spend unless they will benefit through the process.
Accomplishments that I'm proud of
Freelancers and self-employed persons move around quite a bit due to their jobs. They could be full-time workers doing part-time gigs or simply moving around to provide services as a requirement. To assist with contract tracing and transparency in transactions, we have integrated contact tracing features for assignments that require the independent service provider to leave their home.
What I learned
Through using smart nation initiatives we can quickly create solutions and implement them fast enough. And we are happy to be able to share our insights and solutions to better support the freelancer and self-employed workers.
What's next for SG United Work
SG United.Work will be a mobile job portal. The go-to-platform for human resource department to seek potential talents; for organisations to outsource short term projects, without incurring high labour cost by having excess headcount.
We hope to have the support of the government and it’s various agencies to promote the solution and join the campaign. As we not only creating jobs but also helping freelancers and self-employed to digitise their business from discovery all the way to payments. Integrated with some key Smart Nation initiatives.
Built With
amazon-web-services
cdn
cloudflare
dart
digitalocean
flutter
golang
google-cloud
grpc
Try it out
apply.sgunited.work | SG United Work | Creating 25,000 jobs and assignments for freelancers and self-employed by 31 December 2021 through SG United Work | ['Danial Haris'] | [] | ['amazon-web-services', 'cdn', 'cloudflare', 'dart', 'digitalocean', 'flutter', 'golang', 'google-cloud', 'grpc'] | 5 |
10,017 | 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'] | 6 |
10,017 | https://devpost.com/software/bookbucks-promoting-reading-for-all | Searching For "Sapiens"
Searching for "Hunger Games"
Quiz Game
Profile Page - View Stats
Social Page - View Leaderboard and Add Friends
Click Here for Presentation!
Click Here for Demo Video!
Click Here for BookBucks Playlist
Inspiration
Coronavirus has us quarantined at home, thus leaving us struggling to find ideas of things to do. With restaurants, movie theaters and leisure centres closed and government orders to stay indoors, people are having trouble thinking of activities to occupy their time.
According to a study by the NYT, entertainment and social media app usage has increased by up to 30%. Teenagers and young adults have especially increased social media screen time, now using apps like Instagram up to 7 hours a day.
Nowadays, with so much entertainment available at the touch of a screen, reading for leisure is almost unheard of. According to a study by the Washington Post, in the last 15 years, the average person reading on a given day has fallen by over 30%. In the UK, over 50% of adults and teenagers said they hadn't read a book in the last year for leisure.
What it does
We created an app that incentivizes people to read. Whenever you complete a book, you can add it to a list of books you have read and take a test on that book to earn credits, known as BookBucks. You can also view a leaderboard with your friends as well as stats and trends for your own reading. There is a limit of two books a week so that you can't keep uploading books you have previously read and completing tests to get more bookbucks.
How we built it
We built it using xcode and swift to create an IOS app. We linked it to the Google Book Api and plan to link it to FireBase.
Challenges we ran into
Our biggest challenge we ran into was definitely to finish the project on time. We found about the hackathon only 2 days before the deadline and are proud that we managed to still produce a high quality end product in the time available. Another challenge, was the lack of experience we have in competing with those much older than us.
Accomplishments that we're proud of
Being just students, we are very proud to be competing with those with much more experience than us and still producing a high quality end product.
What's next for BookBucks : Promoting Reading For All
We plan to not only increase our choice of game formats and questions formats, but also partner with other companies who would like to advertise their book related products. We also plan to introduce a better UI and UX, thus improving our product. Whats next? An Improvement in the reading habits of all!
Our Team
Our team is comprised of 3 members: Vedant Bahadur, Ansh Kaul and David Walton, all students at UWCSEA Dover Campus.
Built With
googlebooks
swift
xcode
Try it out
prezi.com | BookBucks | Promoting Reading For All | ['Vedanacci BAHADUR', 'Ansh KAUL', 'David WALTON'] | [] | ['googlebooks', 'swift', 'xcode'] | 7 |
10,017 | https://devpost.com/software/divoc-e0fywm | Flow chart depicting the working of the whole system.
Homepage of the application
Teacher Login
Student Login
Teacher Dashboard
Student Dashboard
Canvas as a blackboard
Asking question in middle of a lecture
Tab Change alert to gain students attention to the lecture
Inspiration
There is an old saying,
The Show Must Go On
, which kept me thinking and finding out a way to connect teachers and students virtually and allow teachers to take lectures from home and to develop a completely open source and free platform different from the other major paid platforms.
What it does
This website is completely an open source and free tool to use
This website whose link is provided below, allows a teacher to share his / her live screen and audio to all the students connected to meeting by the Meeting ID and Password shared by the teacher.
Also this website has a feature of Canvas, which can be used as a blackboard by the teachers.
Including that, this website also contains a doubtbox where students can type in their doubts or answer to teachers questions while the lecture is going on.
Again this website also has a feature of tab counting, in which, tab change count of every student is shown to the teacher. This will ensure that every student is paying attention to the lecture.
Also, teacher can ask questions in between the lecture, similar to how teacher asks questions in a classroom.
How I built it
1) The main component in building this is the open source tool called WebRTC i.e. Web Real Time Communication. This technology allows screen, webcam and audio sharing between browsers.
2) Secondly Vuetify a very new and modern framework was used for the front end design.
3) Last but not the least NodeJS was used at the backend to write the API's which connect and interact with the MongoDB database.
Challenges I ran into
The hardest part of building this website was to find a
open source
tool to achieve screen and audio sharing. This is because Covid crisis has affected most of the countries economy due to lockdown. Hence, it is of utmost important that schools and colleges do not need to pay for conducting lectures.
Accomplishments that I'm proud of
I am basically proud of developing the complete project from scratch and the thing that anyone who has the will to connect to students and teach them can use it freely.
What I learned
I learned a new technology called WebRTC which I believe that is going to help me more than I expect in future.
What's next for Divoc
Integrating an exam module and allowing teachers to take exams from home.
Built With
mongodb
node.js
vue
webrtc
Try it out
divoc.herokuapp.com | Divoc | DIVOC - An Antidote For - COVID | ['Sanket Kankarej'] | [] | ['mongodb', 'node.js', 'vue', 'webrtc'] | 8 |
10,017 | https://devpost.com/software/get-work-nsza80 | logo
user interface for service seekers
Possibility to change your profile from service seeker to service offers
user interface for service offers
only app where you can see when your service is coming (other then driver like on uber)
6 members of team
Inspiration
Millions people uneployment all around globe. All service providers on one app!
What it does
It is the only app where one can find reviews, price, location, experience and contact of service provider in one place,
focus is on C2C type of mediation and
on traditional services where 2 people phisically meet like: • Home care and design (interior designing, pest control, cleaning, laundry, glasswork, woodwork, waterproofing, masonry, carpentry...) • Repair and maintenance (handyman, locksmith, plumber, electrician...) • Health, wellness, and beauty (manicure, pedicure, physiotherapy, massage, trainer...) • Others (nanny, tutor, cooking, walking pets, shooping...)
How I built it
MY TEAM USE ANDROID AND VISUAL STUDIO.
This solution is disrupting the traditional business models, replacing them with a platform to connect the major stakeholders of a service exchange (Service provider and customer). Current MVP is a web page where one can offer or book services. The process is not automated yet so applications, bookings and all communication is first going to administrator. Furthermore, the implementation of Google maps is missing so locations are added manually on the map. There is no possibility to create and edit a profile or to leave reviews and comments. There is currently 14 service providers offering their services trough the web page.
Challenges I ran into
Financial means needed are for covering first year of operational expenses:
Computers 3.150 USD
Marketing 5.249 USD
Office ownership 42.362 USD
Bookkeeping 1.575 USD
Sallary 35.302 USD
Accomplishments that I'm proud of
WE HAVE PATENT ! Name of patent: SUSTAV ZA POVEZIVANJE PONUDE I POTRAŽNJE USLUGA, reported at Croatian Herald of Intellectual Property (Hrvatskom glasniku intelektualnog vlasništva) No. 5/2019 (8th of March 2019) Patent No. P20171297A. Holder of intellectual property rights: Mario Marević, Podgorske skale 9, Makarska
WE BUY A FIRM IN NORTH SIDE OF CROATIA THAT ALSO FIND SERVICES THROW WEB
What I learned
My team learned app functionalities: • service provider info (name, photo, education, professional experience, list of services) • service provider (and seeker) rating, reviews and comments • possibility for service seeker to determine suitable time and place where he wants the service to be provided — once provider agrees this way they both know particular time of delivery and a time duration • push notifications (when service is booked, when booking is accepted, when appointment time is changed, reminder to leave a review) • location of provider on map + real-time tracking • price of services provided (HRK/h) • browsing trough options with filters like service type, location, price and reviews • recommendations of service based on proximity, reviews, comments and price. • quick and easy payment mode (cash or card) • provider contact info — available once the service is booked which allows easy communication • overview of all available service options, while the most quality ones will appear on top
What's next for Get Work®
LETS PUT THIS WAY:
Unemployment rate goes up. There was 8.995 unemployed people in Split, 16.548 in Zagreb, 3.700 in Rijeka and 5.049 in Osijek in March 2020. There was 8,3% (152.590) unemployed people in Croatia. Unemployment Rate in Croatia averaged 16.9% from 1996 -2020. According to Trading Economics unemployment Rate in Croatia is expected to be around 13.50% in 2021.
By 2020, the number of freelancers is projected to outpace full time workers - 73% are looking for a job on dedicated internet platforms.
Because of economic crisis more people will need an extra source of income —79% of existing users in on-demand economy are working as part-time.
APP GET WORK IS TOLL THAT WORD NEED IN THE YEARS TO COME BECAUSE OF ECONOMY CRISES CAUSED BY CORONA-VIRUS
Built With
android-studio
visual-studio
Try it out
drive.google.com | Get Work® | Get Work® - Mobile app between service providers and service seekers. Booking and offering services in accordance with 21st century. | ['Mario Marevic'] | [] | ['android-studio', 'visual-studio'] | 9 |
10,017 | https://devpost.com/software/boxed-essential-goods-shopping-concept | Present scenario
Objectives
Concept
Basic boxes content (essential goods in increasing quantities)
Example: Basic box + one add-on box
Order process (inclusiveness)
Facilitated logistics
PROPOSAL FOR THE FOOD RETAIL INDUSTRY
The problem this project solves
1) Both supermarket customers and employees are at high risk of infection;
2) Due to high traffic, supermarket online stores have congested accesses and operating issues;
3) Supermarket (online) orders have been having extended delivery times;
4) Due to the huge demand, the average preparation time for each online custom order will be highly impractical;
5) Excess purchases (hoarding) create situations of inequality in the distribution of essential goods, namely to the elderly population, health professionals and other professionals who currently support the greater effort in this fight against the pandemic — and who don’t have enough free time to shop for essential goods;
6) In this context, it is also very difficult to ensure that the exact selection of a custom online order will actually be delivered, resulting that these supply failures will have implications on families' daily lives;
7) The daily supermarket shelf stocking, at this scale and pace, is unsustainable;
8) The employees that guarantee daily restocking are not immune to this infection and as a result, we will naturally see temporary store closures, worsening the problem locally.
The solution we bring to the table
Our proposal is to market and promote
Pre-packed Essentials
in the form of
boxes
+
add-on boxes
;
The
boxes
can be numbered, for example from 1 to 6, containing essential goods in increasing quantities;
The
add-on boxes
contain specific goods grouped by category and can be alphabetically ordered (A, B, C, D…): such as fresh groceries, toiletries, cleaning items, baby, bio, vegetarian/vegan, gluten-free/lactose-free, kosher, prepared meals (for those who can’t cook), etc.
Ideally, stores may also offer a
combination
of Pre-packed Essentials with, for example, a maximum of 10 other single items so that clients may add a few specific products to their order;
What it does:
1) Convert in-store purchases to online and telephone channels;
2) Reduce the number of people in supermarkets and the consequent risk of contagion;
3) Enable access to essential goods;
4) Ensure the easy availability of essential goods to the elderly, health professionals and other front-line workers;
5) Shorten home delivery times;
6) Expedite order preparation and respective logistics/home deliveries;
7) Reduce the burden on workers in the food distribution and logistics sector;
8) Restore regular essential goods purchasing habits;
9) Increase
inclusiveness
because it allows the customer to place essential goods orders over the phone quickly and conveniently. This feature is particularly useful for the elderly and for people with special needs who cannot buy online or go to the store;
The boxes contents should be guided and determined by industry sector professionals aided by nutritionists, pediatricians and other relevant specialists;
The boxes contents must be shared publicly so that any store, small or large, can follow identical guidelines, thus promoting the easy adoption and use of this system by the population at large;
Prices may fluctuate because item/brand selection can vary from store to store and from week to week;
As the need for rationing is not expected, customers may continue to make individual custom purchases in stores and online;
By choosing
Pre-packed Essentials
, the customers will be guaranteed in-store product availability and also a faster delivery for online/phone purchases, thus making preparation and logistics of usual single purchases less of a priority;
Online/phone shopping should continue to be both promoted and favoured in the immediate future as in the coming months to mitigate the risk of contagion;
The
Pre-packed Essentials boxes
handling must be carried out on assembly lines in accordance with the recent Health guidelines and the usual sector regulations, in order to reduce the risk of team contagion and product/packaging contamination;
As the box assembly process is simplified, it can be guaranteed by external teams composed of new hires (e.g.: trainees), the military or volunteers;
The boxes can also be prepared remotely, away from stores, in food warehouses or in adapted spaces.
Our process
Consumer habits are difficult to change as are the logistics and commercial processes of distribution companies.
In this new reality we are living, both have to evolve and we must face this challenge as an opportunity to improve processes and experiences.
We assumed, as a basic rule for this proposal’s development, the use of familiar notions so that there would be no barriers to its implementation - consumers already know the concept of distance shopping (online or by phone), they already know the concept of food hampers (although usually associated with gourmet products), and distribution companies maintain their logistical procedures for storing and shipping orders.
This is simply a proposal to streamline processes and how to communicate them with users.
This is the development process we adopted:
1) Observation;
2) Ideation;
3) Rapid solution prototyping;
4) User feedback;
5) Iteration;
6) Solution completion;
As a rule, we plan to go back to step 1 and start over for an ever-evolving solution.
Just the idea was not enough. It was necessary to structure this solution so we could easily communicate it to all potential partners and consumers.
We also took advantage of the work carried out during this hackathon to further develop the operational details of this distance purchasing system.
Namely, its evolution to the post-pandemic period.
The solution’s impact to the crisis
The use of this idea has no associated costs, any supermarket can use this system to more easily manage the sale and logistics of essential goods.
This solution also reduces the risk of contagion by simply removing people from stores and queues without reducing sales.
We believe that inclusiveness is a huge strong point of this idea because, with this simple system, anyone can make their of essential goods purchase conveniently from their home.
We propose that supermarkets distribute leaflets to the population with images and a content description for each box made available for purchase, because not all citizens use the internet.
The necessities in order to continue the project
This solution was designed for its widespread use in all supermarkets, be they small or large, and there are no language or culture impediments to its use.
The first step will be to present this solution to the sector decision makers, define each box/hamper contents, define the production lines that will guarantee the packaging of the various boxes and define the best logistical solution that guarantees the quick delivery of this simplified essential goods distribution system.
The value of this solution after the crisis
Following the pandemic, this solution may remain in use because it makes life easier for this sector’s consumers and company employees.
It is particularly useful from an inclusiveness perspective, as mentioned above, providing the older population with a fast way to purchase their essential goods.
By converting sales to online and telephone channels, the logistical requirements will increase - jobs will also be created in this sector as a response to increase in demand.
This concept of distance shopping also enables donations, as it becomes increasingly easy to offer essential goods boxes to those most in need or from the young to the older family members.
One of the main consequences of this pandemic will be a pronounced, transversal and universal economic crisis, which will have a significant impact on millions of people.
The notion of mutual support will therefore have to be reinforced, so that as a just society, these needs can be met.
This solution facilitates inclusiveness and solidarity.
Built With
design
design-strategy
e-commerce
logistics
service-design
Try it out
www.fpgbconsultants.com | BOXED - Essential Goods Shopping Concept | Reduce the number of people in supermarkets and the consequent risk of contagion, convert store purchases to online and telephone channels. Facilitate inclusiveness and solidarity. | ['Francisco Pestana', 'Gabriela Borralho'] | [] | ['design', 'design-strategy', 'e-commerce', 'logistics', 'service-design'] | 10 |
10,017 | https://devpost.com/software/c-trac-app-for-tracking-corona-hotspots | Inspiration
During this current COVID 19 pandemic, I see health worker is curing the patients, doctors are innovating new medicine, the police is controlling the crowd movement and even bus drivers are helping people to get back to home. As a future engineer, I felt like my contribution is none, so I felt motivated to do my part and try to bring a positive change and to make sure my product can also be used in a future pandemic.
problem our project solves
we all can agree that this pandemic needs to overs soon so as we can meet our loved ones, in order to contain this pandemic, the government is using CONTACT TRACING APPS ( CTAs ). Research says if contact tracing is done correctly it can reduce the number of case 3 folds, then why the number is still rising? , the problem with these CTAs is they only tell whether you have come in contact with an infected person or not, what it doesn't tell us that from where the person caught the infection ( the parent source ). let's take an example if there are two-person 'X' and 'Y' and Y got infected then X will get notified by the current CTAs that he might have got an infection as he came in contact with Y, but it doesn't tell from Which PLACE y got the infection, this is crucial as if we don,t find out that PLACE then many other people who had visited that PLACE may get the infection.
what our project does
Our project C-TRACK 1st of it's kind of reverse contact tracing app, so let me explain how Reverse contact tracing works, whenever the user visits a place too frequently like a shopping mall. then that particular location will be saved inside the app and if in future user found COVID +ve then we can track down that shopping mall, the app will also send a notification to all over people who have visited that exact shopping mall, now health authorities can sanitize and lockdown that specific shopping mall instead of locking down the whole locality. the location stored is fully encrypted and can only be accessed by the user. it also has two additional feature
1.) it sends 'wear mask ' notification when the user leaves then house and 'wash hand' notification when the user returns the house, this small precaution can bring a huge change by keeping you and everyone around you safe.
2.) whenever the user enters a government certificated hotspot or RedZone he will get a warning notification
Challenges I ran into
1,) we lack financial support as we have to make this app from scratch.
2.) the problem in collecting data regarding government-certified hotspot and also we have to do a lot of research regarding the spread pattern of COVID-19.
3.) It was hard for us to get in contact with health workers as they were busy fighting an increasing number of patients so we have to talk to retired doctors.
4.) It took us too long to use it in real-time as during lockdown it was too hard to go outside in the quarantine but finally, after lockdown loosens a bit we tested it and it gave an excellent result.
What I learned
All team members of C-TRACK were able to grow their area of competence by participating in the whole process of idea definition, market research, validation, prototyping, and presentation. Through different mentor sessions, we learned that problems could be approached by many means, but most importantly our mission should be clear.
What's next for C - TRAC App for tracking corona hotspots
our app can be used for a future pandemic or seasonal diseases such as swine flu or bird flu.
Built With
android
android-studio
java | C - TRACK 1st ever reverse contact tracing App | Our app is 1st reverse contact tracing app which locate the possible hotspots from the user location history and also 1st safety awareness system which notify user to ( wear mask ) and ( wash hand). | ['Anup Paikaray', 'Arnab Paikaray'] | [] | ['android', 'android-studio', 'java'] | 11 |
10,017 | https://devpost.com/software/vox-of-life | Sign Up
Time to Talk Notification
Text Confirmation
Voxers on call
Wireframe
People are by nature social creatures. These past few months of having to isolate and distance yourself from others has been extremely difficult, both physically and mentally. In today’s world, communication and social contact are a huge part of daily life, larger than they have ever been before. This situation happened so quickly, and it may continue indefinitely. We believe that one can abide by the ‘new normal’ and still maintain social contact by using Vox of Life.
In Latin, the word ‘vox’ means ‘voice’. Vox of Life strives to be the ‘voice’ that can be used to initiate, maintain and communicate with others in a safe, controlled environment by the use of the Vox of Life app. The Vox of Life is an opportunity to socialize with others with the same interests, hobbies in you choose, or with someone else who may just need to talk and hear another human voice.
What are you interested in accomplishing? What might be reasonable to accomplish?
Encourage spontaneous meaningful interactions between all walks of life
Reduce impact of social isolation
Make conversing with new people comfortable
Encouraging extroversion in a time where we’re all distanced
Is this something you want to do within the timeframe of the hackathon only, or are you interested in working on this after the 12th?
The effects of COVID-19 are far reaching, and mitigating the effects of social isolation is our goal. We believe we can do this by connecting new people on 1:1 phone calls to meet new walks of life. Even after the curve is flattened and social interaction becomes safer, we will be transitioning our efforts to continue reducing the impact of social isolation, and creating ways for improved communication between individuals and groups.
What is your bandwidth to contribute?
We, the members of this team, are extremely passionate about our mission and are currently balancing this initiative with full time professions. We are capable of supporting this initiative but are seeking support to ensure our mission continues to have a greater impact.
Who is on your team? Please describe your background and why you’re the right person/team to work on your idea.
Magus
Software Engineer
Design thinker
Social enterprise enthusiast
Right person: I like to make things, and also love to make things better.I aspire to work and make products that can create lasting social impacts globally
Shiv
Client facing
Biomedical engineer
Health focused
Right person: I desire to make an impact that can positively affect people and improve the way people see the world and others
Sam
Marketing Specialist
Client facing
Right person: I have a desire to network with others and get to know other people and Vox of Life is heavily geared toward networking
Patrick
Full stack developer
Highly competent in multiple technologies
Right person: I am not a fungus, I am a fun guy and I like building fun tech
Inspiration
Vox of Life was inspired after noticing heavy the toll self-isolation was putting on the mental health of friends and closed ones. Social distancing and self-isolation don't have to mean loneliness and silence. VOL's on the mission to encourage people to have meaningful social interactions, while still practicing safe social distancing. We enable this by pairing different walks of life to each other through just a voice call and simply by the time they both are available.
Built
To rapidly execute on this mission, the proof of concept initially was "pretotyped" with a combination of traditional software engineering frameworks (NodeJS/Nest) and even no-code tools (Zapier, Airtable, Wix). We used NestJS to build our matching algorithm and backend server, and used the no code tools to build our frontend. The first prototype was complete in the first half of a weekend, and the private beta started the very next day. A lot was learned from our testers and the project went through multiple iterations over the course of the trial very quickly.
Challenges
Initially, VOL calls only worked over the web on desktops. Multiple testers provided feedback to make it also accessible over their mobile devices. In less than a week's time, the testers were able to dial-in to their calls.
Future
Nursing Homes
Build relations with nursing homes, to allow the isolated elders to have one on one calls with volunteers
Slack
Integration for Slack, where users can have spontaneous one on one interactions with in their existing communities
Built With
airtable
html
javascript
nestjs
sendgrid
twilio
typeform
wix
zapier
Try it out
voxoflife.com
instagram.com
github.com | Vox of Life | VOL encourages people to have meaningful social interactions, while still practicing safe social distancing. We enable this by pairing different walks of life to each other through just voice. | ['Magus Pereira', 'Patrick Luy'] | [] | ['airtable', 'html', 'javascript', 'nestjs', 'sendgrid', 'twilio', 'typeform', 'wix', 'zapier'] | 12 |
10,017 | https://devpost.com/software/peeker-subr6c | Peeker
Module with Rechargeable Battery Case
Front and Back View
Our Seekr Team has grown!
The problem our project solves:
My grandfather is visually impaired and depends on others to do everyday tasks. Given that he is reliant on touch, we are worried that he will be susceptible to COVID-19. This has led him to struggle with self-isolation because of having no companionship, also making him more prone to emotional distress during this period of self-isolation.
This is the reality of 200 million people who are visually impaired around 188 countries. And research shows that the number is expected to triple within the next 4 decades. As social and emotional well-being is of the utmost importance for these marginalized people, the Peeker aims to provide life-long companionship and alleviate emotional distress.
The solution we bring to the table:
The Seekr is a personalized, interactive voice-assistive device with a bone-conducting earpiece. To use the Seekr, the user does not require any technical knowledge and can interact freely and independently. The user interface is designed in such a way to imitate the human interaction of able-bodied people. The bone-conducting earpiece does not block their natural senses and the rotating clip allows for convenient placement of the device
There are two main features of the Peeker 1) Inbuilt thermal imaging sensors which alerts the visual impaired of other people with high body temperatures around them 2) Text and Object detection through which the Peeker will alleviate loneliness and allow the experience of live companionship during this period of self-quarantine.
What we have done during the Hackathon:
We have developed a working prototype of the Peeker with standard features such as object and text detection within the course of the hackathon. The working prototype also receives speech input from the user and responds using voice output, making it a complete interactive device. In addition, we have developed the 3D design of our proposed final product, keeping minimalistic design, user experience, and fashion in mind.
To ensure that our features meet the needs of the visually impaired, we met some visually impaired workers in the front-line such as those working at restaurants, convenience stores, and NGOs to test our prototype and discuss which features would be most useful to them even after the COVID-19 pandemic.
We have also conducted thorough market research to analyze our competitors and have realized that there is no product like the Seekr especially with its adaptable and customized features. According to research, there are many other devices within the assistive device market, however, 39.9% of differently-abled people do not like to wear such devices as it usually is very bulky and medical equipment like or is blocking some of their senses. Hence, our device offers quality services without blocking any of their natural senses.
The solution’s impact on the crisis:
Our solution is simple. The Peeker protects the visually impaired from people with high body temperatures who might be susceptible to COVID-19. This is to encourage social distancing and reduce the chances of getting COVID-19.
Furthermore, the Seekr’s objective is to reduce reliance on touch so that the visually impaired are not in contact with the surfaces unnecessarily through its features. Finally, the interactive component of the device engaged the visually impaired to alleviate emotional distress by offering companionship and living independently. For instance, the Peeker allows the visually impaired to conduct activities such as reading a book, distinguishing between different objects, reading road signs, etc. which they otherwise could not do without a helping hand.
The necessities to continue the project:
Currently, our prototype is deployed on the Raspberry Pi. Going forward, we would like to design the integrated circuit of the final product ourselves, so the device is more compact and durable. In addition, our product will also have a silicone cover which is easily identified by the visually impaired.
Our current solution is trained on the COCO-object detection dataset, restricting the number of total objects detected to 80. Going forward, we want to train the model with our dataset focusing on the common items that the visually-impaired person uses on a daily basis.
Subsequently, we will partner up with manufacturing companies to mass-produce the Seekr. We are also looking to collaborate with NGOs, Governmental Organisations, Optometrists, and Eye Hospitals to develop more user-friendly features so that every Seekr is customized to the needs of the individual.
The value of our solution after the crisis:
The Seekr allows independence with ease to the visually impaired through Peeker. For example, they would be able to go grocery shopping with the help of text detection. They would be able to navigate where things are with the help of object detection. Other added features within the premium package such as different languages, haptic feedback accessories, heart rate, and blood pressure monitor, face recognition, and color detection ensures that the Peeker is a life-long companion that accommodates the visually impaired no matter which demographic they are from.
Built With
coco
opencv
pytesseract
python
pyttsx3
raspberry-pi
speech-recognition
yolo | Seekr | Your Visual Companion | ['Turzo Bose', 'Lamia Sreya Rahman', 'Kartikay Sharma'] | ['2nd Place', 'Top 10', '1st Place Hack'] | ['coco', 'opencv', 'pytesseract', 'python', 'pyttsx3', 'raspberry-pi', 'speech-recognition', 'yolo'] | 13 |
10,017 | https://devpost.com/software/emps | Idea
Overview
To solve resident's requests for help from their constituency's Ministers of Parliament (MPs), MPs regularly conduct Meet the People sessions (MPS) to hear their problems and offer help. These usually result in a letter written to the relevant government agencies to try and assist residents with their problems. These sessions can also provide applications for temporary financial aid through services like ComCare.
However, due to COVID-19, these face to face sessions had to stop. Yet, the problems of these residents still remain and they still need help. While individual government agencies might still be able to offer assistance online or over the phone, it is often the case where residents are unaware of where to get help from, or if they need MPs to write appeal letters for them. As such, this idea to provide a website where users can:
a) Find out the different government schemes available to help them during this time and
b) Contact their MPs through an online medium, allowing MPS to continue
This can continue to be useful even after we enter the later stages of Circuit Breaker as we still maintain social distancing. Such online services will be able to help remove the need to be physically present can help reduce numbers as MPS sessions.
Of course, it is acknowledged that some stakeholders such as the elderly and those without an internet connection will not be able to efficiently utilise such a solution. Thus, eMPS aims to help those who can access it online in order to free up space at MPS for such other stakeholders.
Considerations
I am unsure if GovTech will be able to push out such solutions to MPS considering the political nature of such events. However, a website featuring the different government schemes can still be considered in order to provide more self-help avenues. Despite this, I believe that such a project will inevitably involve the many different government agencies as after all, MPS is supposed to provide an avenue for the residents to them. Thus, I feel this project has significant meaning to it.
Details
Residents:
Able to reach the website and scroll through different schemes from public agencies which they can apply for
Links to take them directly to each agency's website to apply
Login in via SingPass to access MPS request site
Fill in the necessary details for an appeal letter: agency involved with the matter, supporting documents
Receive a case number which can be used to get further updates on the matter
MPS Volunteers:
Case management system
Login to see the outstanding cases that people have submitted along with the necessary documents to write a letter
Able to send a request to the resident to furnish other supporting documents that may be needed
Send the letter/print it out to fax it to the relevant agency
Future Development
Enable government agencies to utilise the same system to directly respond to residents appeals and queries | eMPS | An electronic solution for Meet the People sessions to continually help those in need | ['Yih Hang Loh'] | [] | [] | 14 |
10,017 | https://devpost.com/software/kampung-kakis | Examples of User Requests
Basic User Actions
Inspiration
We read stories of how many people found it difficult to cope with Stay-at-Home conditions, from difficulties in checking up on elderly parents, to childcare and grocery shopping. Rather than face this challenging situation alone, we believe that the local block community can play a major role in helping people tide through this together with a cohesive 'kampung' spirit!
What it does
This platform serves as a 'Assistance Marketplace', where users can post requests for help or offer help to their neighbors. This could include items like grocery shopping, watching their kids while parents run errands or ordering things online. This can include allowing users who stay far away to initiate requests to ask neighbors to check in on their elderly parents on occasion.
How we built it
This prototype is currently developed via Python and Django, and features basic functions that allow users to engage each other in a mutual exchange of services. We used Python with the future in mind, where data analytics as well as Artificial Intelligence can be used to do automatic matching, as well as classification of the various ads that are put up.
Challenges we ran into
It was and still is a challenge to understand and manage the limitations of actions and assistance that users can help each other with. Additionally, we're still trying to work out how to facilitate conversation and services while mitigating liability and money-related issues between both requester and provider.
On the technical front, most of the issues that we encounter were in linking front-end functionality to back-end functionality. Many of the features that were brainstormed were actually much harder to implement than expected, and thus our final prototype had to be slimmed down from our initial ideas.
Accomplishments that we're proud of
This was the first Django project that we developed, and through this challenge, we became more comfortable with Django's Model / View / Template framework, as well the various tasks that the Django framework helped to automate.
What we learned
We became better at wrapping our web apps in Django and abstracting away the issues associated with deployment by deploying into the cloud via a platform like Heroku.
What's next for Kampung Kakis
There is scalability in reaching out to multiple HDB clusters, moving into the private home space eventually. There is a massive potential to heighten and strengthen community bonds through Gamification and user engagement strategies.
Additionally, multiple sources of diversity in user development can occur, including the creation of telegram bots and native application construction.
Built With
django
heroku
python | Kampung Kakis | A community-driven platform that allows neighboring families to exchange services and help boost the welfare of the immediate community. | ['Xi-Wei Yeo', 'John Ang'] | [] | ['django', 'heroku', 'python'] | 15 |
10,017 | https://devpost.com/software/soqqle-social-online-learning-for-education | Private Groups
Video
Lab work example
Comments
Inspiration
Current online learning software lacks critically important tools to encourage student positivity (eg. mental health due to isolation), engagement, and collaboration needed for personalized learning, which was supported offline before.
After lessons are conducted, teachers and students need to engage for assessments and feedback. Traditionally, teachers manage these with classroom time and practicals, not available now.
Online learning needs to not only “meet” the benefits of in-person learning, but exceed it with use of modern digital capabilities.
There are no current solutions that provide both one on one and group engagement effectively.
Existing lesson delivery apps (eg. Zoom) do not fit collaborative assessments especially related to feedback
In a recent external hashtag task about Home Based Learning, 30% were negative-emotion (50% neutral).
Whatsapp is difficult for group communication without being bombarded (based on teacher interviews). Forums have a low participation rate(reported 12-16%).
4 of 5 students we interview link mainstream social apps (eg Facebook, Instagram) with personal boundaries not fit for learning
What it does
The mobile application will be a new way for teachers to motivate and engage with their students in a digital way. They can create tasks that are social and digital-native (pictures, images) and encourage peer to peer interactions that are more interesting like likes / comments. Teachers create private codes first, then share it with their students to create rooms. It will be blended into their lesson plans. A website dashboard is also available with learning analytics for teachers to learn more about their students.
How I built it
Firstly in terms of user needs, we speak to a lot of educators to discover their problems with student engagement, especially the transition from classroom to online. At the same time there is a need to understand post-covid use. The good news is that even after going back to the classroom, such a tool is still in demand. Social Learning and Formative assessments (our strength) leading to Collaborative Learning is a rising demand in the education sector.
We started with a simple MVP with AWS, React Native and Node with features that are close to up to date social apps (likes, comments, swiping gestures). We recently had to incorporate learning analytics to help teachers understand the learning progress.
Challenges I ran into
Managing the large amount of learning data that is generated for our beta users. There is seemingly a large potential of how they could benefit from the information. We need to spend more time to understand the learning objectives, lessons plans and blend it into a semester.
Accomplishments that I'm proud of
We managed to secure 2 best educational institutions from Singapore. Including a few from Indonesia to help us expand and understand user needs better.
What I learned
There is a big opportunity in collaborative online learning for education. There is a need to help educators to manage their students online. One major need is to understand student motivations and emotional issues. Traditionally these was done face to face but is a major challenge online.
What's next for Soqqle Social Online Learning for Education
Complete an entire semester of curriculum with our beta users and obtain templates that can be adopted across a wider set of users.
Built With
amazon-web-services
node.js
react-native
Try it out
apps.apple.com
play.google.com | Soqqle Social Online Learning for Education | A private social app for educators to engage their class in a more digital native way for student motivation and mental wellness | ['Daniel Shen', 'Evelyn Eng'] | [] | ['amazon-web-services', 'node.js', 'react-native'] | 16 |
10,017 | https://devpost.com/software/masked-ai-masks-detection-and-recognition | Platform Snapshot
Input Video
Model Processing
Model Processing
Output Video Saved
Output Video Snapshot
Output Video Snapshot
Output Video Snapshot
Output Video Snapshot
Output Video Snapshot
Output Video Snapshot
Inspiration
The total number of Coronavirus cases is 5,104,902 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 taking preventive measures is the only option to flatten the curve. Face Masks Are Crucial Now in the Battle Against COVID-19 to stop community-based transmission. But we are humans and lazy by nature. We are not used to wear masks when we go out in public places. One of the biggest challenges is “People not wearing masks at public places and violating the order issued by the government or local administration.” That is the main reason, we built this solution to monitor people in public places by Drones, CCTVs, IP cameras, etc, and detect people with or without face masks. Police and officials are working day and night but manual surveillance is not enough to identify people who are violating rules & regulations. Our objective was to create a solution that provides less human-based surveillance to detect people who are not using masks in public places. An automated AI system can reduce the manual investigations.
What it does
Masked AI is a real-time video analytics solution for human surveillance and face mask identification. Our main feature is to identify people with masks that are advised by the government. Our solution is easy to deploy in Drones and CCTVs to “see that really matters” in this pandemic situation of the Novel Coronavirus. It has the following features:
1. Human Detection
2. Face Masks Identification (N95, Surgical, and Cloth-based Masks)
3. Identify human with or without mask in real-time
4. Count people each second of the frame
5. Generate alarm to the local authority if not using a mask (Soon in video demo)
It runs entirely on the cloud and does detection in real-time with analysis using graphs.
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. JavaScript for the frontend features
5. Embedded technologies
I will be breaking the complete solution into the following steps:
1. Data Preparation:
We collected more than 1000 good quality images of multiple classes of face masks (N95, Surgical, Clothe-based masks). We then performed data-preprocessing and labeled all the images using labeling tools and generated PASCAL VOC and JSON after the labeling.
2. Model Preparation:
We used one of the famous deep learning-based object detection algorithm “YOLO V-3” for our task. Using darknet and Yolo v-3, we trained the model from scratch on 16GB RAM and Tesla K80 powered GPU machine. It took 10 hours to train the model. We saved the model for deploying our solution to the various platforms.
3. Deployment:
After training the model, we built the frontend which is totally client-based using JavaScript and microservice “Flask”. Rather than saving the input videos to our server, we are sending our AI to the client’s place and using Microsoft Azure for the deployment. We are having on-premise and cloud solutions prepared. At the moment, we are on a trail so we can’t provide the link URL.
After building the AI part and frontend, We integrated our solution to the IP and CCTV cameras available in our house and checked the performance of our solution. Our solution works in real-time on video footage with very good accuracy and performance.
Challenges we ran into
There are always a few challenges when you innovate something new. The biggest challenge is “The Novel Coronavirus” itself. For that reason, we can’t go outside the home for the hardware and embedded parts. We are working virtually to build innovative solutions but as of now, we are having very limited resources. We can’t go outside to buy hardware components or IP & CCTV cameras. One more challenge we faced was that we were not able to validate our solution with drones in the early days due to the lockdown but after taking permission from the officials that problem was not a deal anymore.
Accomplishments that we're proud of
Good work brings the appreciation and recognition. We have submitted our research paper in several conferences and international journals (Waiting for the publication). After developing the basic proof-of-concept, We went on to the local government officials and submitted our proposal for a trial to check our solution for better surveillance because the lockdown is near to be lifted. Our team is also participating in several hackathons and tech event virtually to showcase our work.
What we learned
Learning is a continuous process. We mainly work with the AI domain and not with the Drones. The most important thing about this project was “Learning new things”. We learned how to integrate “Masked AI” into Drones and deploy our solution to the cloud. We added embedded skills in our profile and now exploring more features on that part. 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 Masked AI: Masks Detection and Recognition
We are looking forward to collaborating with local administrative and the government to integrate our solution for drone-based surveillance (that’s currently in trend to monitor internal areas of the cities). Parallel, The improvement of model is the main priority and we are adding “Action Recognition” and “Object Detection” features in our existing solution for even robust and better solution so decision-makers can make ethical decisions as because surveillance using Deep Learning algorithms are always risky (bias and error in judgments).
Built With
azure
darknet
flask
google-cloud
javascript
nvidia
opencv
python
tensorflow
twilio
yolo | Masked AI: AI Solution for Face Mask Identification | Masked AI is a cloud-based AI solution for real-time surveillance that keeps an eye on the human who violates the rule by not using face masks in public places. | [] | [] | ['azure', 'darknet', 'flask', 'google-cloud', 'javascript', 'nvidia', 'opencv', 'python', 'tensorflow', 'twilio', 'yolo'] | 17 |
10,017 | 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'] | 18 |
10,017 | https://devpost.com/software/happy-path | Happy Path Cover
Remember your day
Reflect on your day
Look back on your daily moments
Chatting with Tracy, our Happy Path chatbot
Problems
Contact tracing
“I can’t even recall what I ate for breakfast, how to remember what I did 2 weeks ago sia!”
Mental health
“The world is so depressing. When is this ever going to end?”
Privacy
“I don't want the government to access my data without my consent leh”
Introducing Happy Path
Say hello to Tracy, a daily gratitude journaling chatbot that also lets you record your daily movements.
How it works?
Remember your day
Once a day, Tracy will remind you to record any outdoor movements that you’ve made.
Went for a haircut or visited mum? Share it with Tracy. You can also look back on your past entries by tapping ‘View Journal’.
Reflect on your day
Tracy will then ask, “What’s one thing you’re grateful for today?”
Your answer can be a simple word, or a short paragraph. Anything to help remind you that no matter how your day went, there’s always something to be thankful for.
Look back on your daily moments
View your private journal at any time — only you have access to your Happy Path data. In the event that you are contacted by contact tracers, the choice to share this data is 100% yours.
Why it works
Easy record, easy recall
Saving an entry is like chatting with a friend. Remembering your past activity is as easy as browsing a website.
Privacy-friendly
Only you have access to your Happy Path data. Not the government. Not the contact tracers.
Non-intrusive
Tracy only messages you once a day, and it only takes a few minutes each time.
Gratitude = Happiness
Research has shown that practicing mindfulness and gratitude relieves feelings of anxiety and negative emotions. It only takes a few messages a day to form a habit to improve your mental wellbeing.
How Tracy was built
Tracy was built with Chatfuel and the user's journal was built in Webflow. There's currently no integration and all data is simulated.
What's next?
It's only a proof of concept at the moment and I'm hoping to find someone to build a prototype of Tracy by integrating Chatfuel's data into a web app.
Try chatting with Tracy, our Happy Path chatbot here:
http://m.me/114216826961125
Web app concept for a user's Happy Path journal:
https://happypath.webflow.io/
Built With
chatfuel
google-spreadsheets
webflow
Try it out
m.me | Happy Path | A chatbot that makes contact tracing easier and improves mental wellbeing | ['Melvin Lim'] | [] | ['chatfuel', 'google-spreadsheets', 'webflow'] | 19 |
10,017 | https://devpost.com/software/covid-19-contact-tracing-on-public-transport | Context
- Even though we have begun to re-open our economy, we still lack contact tracing on public transport, especially during peak hours.
Need
- We need a quick-to-deploy, reliable and privacy-preserving solution to contact tracing on public transport.
Solution
- Using Smart EZ-Link data, we can reliably identify individuals who are exposed to confirmed cases who travel by bus or train for more than 30min. The EZ-Link CAN IDs can be stored locally on devices, so location data is not linked to personally identifiable info.
Details
- First, commuters store their EZ-Link ID data on their TraceTogether apps. Second, contact tracers obtain the EZ-Link IDs of confirmed cases and identify the EZ-Link IDs of potential close contacts. Third, the TraceTogether app checks the EZ-Link ID on device against EZ-Link IDs of potential close contacts in an online secure government database and notifies users if there is a match.
Yield
- Since EZ-Link data does not inform us about physical proximity, through simulations, this method results in ~18% yield on a single-decker 12m bus and ~6% yield on a 24m MRT car. This is likely a lower bound as it does not account for movement around in trains and buses. Coupled with TraceTogether data, this method can very effective.
Further Enhancements to Yield
- Potential close contacts identified by EZ-Link data can submit their portraits to the government. Using bus and MRT CCTV footage, we can identify true close contacts and match them to the portraits of potential close contacts. This can be done manually or via facial recognition technology.
Next Steps
- The government should validate this solution using a real-world trial of actual people who know they are travelling together. If valid, then it should scale the solution. | EZ-Link Contact Tracing on Public Transport | Using EZ-Link data to conduct contact tracing on public transport | [] | [] | [] | 20 |
10,017 | https://devpost.com/software/binformed | Inspiration
binformed is a clinically-driven comprehensive desktop + mobile infectious disease, epidemic + pandemic management tool targeting suppression and containment of diseases such as COVID-19, built on state-of-the-art technologies. covidata is a complementary technology for advanced comparative analytics. These solutions stem from our clinical, informatics, technical and analytic frustration that we did not have the tools to combat this pandemic from the start and that we must have the tools to control this pandemic now, and any pandemics in the future.
What it does
binformed is an infectious disease (COVID-19) managment tool, including symptom checking, health and exposure risk assessment, contact tracing, test + disease management and advanced analytics. The system is designed with three core goals: a) alleviating public anxiety through the provision of open access to risk assessemtn; b) triage, close follow-up and tracking of symptomatic patients to appropriate isolation, testing or admission, based on severity; and c) the critical tools neccessary open schools, protect the public + workforces + open the economy safely. The system is state-of-the-art, massively scalable, cloud-based and has a clean and easy to use desktop and mobile UI/UX. The system has security, confidentiality and privacy built in and is HIPAA, CCPA, and GDPR compliant.
The focus of BInformed tool is the work we need to do to clinically assess, manage and contain COVID and protect health care providers, the public, students + workforces to the greatest extent possible:
• Symptom, Exposure and Health Risk Assessment – who is at risk, has been exposed or has symptoms we and they should be concerned about and how are their symptoms progressing today, tomorrow, and for the next 72h to 14 days? Data entry can be by an individual, family, health provider or direct monitoring of SaO2, HR, BP, Temp, RR. Reminders are text with triggers and escalation + triage.
• Triage Tool for testing, configurable for rapidly changing criteria - who should be tested, where should they go, when should they go?
• Touchless Testing, with absolutely minimal to no contact with health workers, at all locations, powered by text messaging, links and voice call as required. This is for safety, preservation of PPE and speed.
• Results Tracking of all tests, all results, all patients, integrated with symptom tracker – do negative cases become positive? Are positive cases symptomatic, and how are they progressing?
• Contact Tracking – who? How to contact them? Collect and track their symptoms and manage isolation.
• Symptom Triage, including to ED, with direct-admit to home (home isolation and telehealth homecare + monitoring), to a hospital bed (do not go to ED) or direct to the unit (or ED) if critical and requiring ventilation (BiPAP or intubation).
Additional features:
• Consent based isolation monitoring with geo-location tracking (with cell carriers).
• Interface with EMRs and EHRs.
• Support for additional testing, such as genetic testing.
• Digital contact (Bump) tracing with Dosimeter.
• Advanced analytics.
BInformed is a pandemic tool for real-time management, triage, tracking, testing and providing the greatest achievable level of exposure minimization to health care providers + the highest level of disease suppression + containment.
How we built it
BInformed is built on a highly scalable and secure HIPAA, CCPA, and GDPR compliant cloud-based architecture we have used to develop multiple health care and non-health care projects. It uses a NoSQL tagged JSON data architecture (MongoDB or DocumentDB), runs on Amazon AWS (can run on Google Cloud or Azure), and has a very clean Material UI/UX. All middleware is Java, desktop (browser) UI is Javascript and CSS, mobile is Swift (iOS) and Dart (Android).
Challenges we ran into
There is not enough time in the day or in our disparate schedules to do all we wish we could.
Accomplishments that we're proud of
This is a clinically focused tool targetting rapid workup, testing, and appropriate, safe triage of patients. It is designed with simple, easy to implement core health provider safety features and workflows.
What we learned
Everyone is chasing similar goals and coordination of goals is critical.
What's next for bInformed
We are working with potential partners on deployment. It is being offered as a public benefit (B-Corp),
Built With
amazon-web-services
api
dart
google-cloud
java
javascript
json
mongodb
restful
swift
Try it out
binformed.info | binformed | covidata | binformed is a clinically-driven comprehensive desktop + mobile infectious disease, epidemic + pandemic management tool targeting suppression and containment of diseases such as COVID-19. | ['Siranush Manukyan', 'Susan Ip-Jewell', 'Ari Akerstein', 'Zille Huma', 'Leyla Mirmomen'] | [] | ['amazon-web-services', 'api', 'dart', 'google-cloud', 'java', 'javascript', 'json', 'mongodb', 'restful', 'swift'] | 21 |
10,017 | https://devpost.com/software/ibm__hackathon__troubleshooters | Inspiration
What it does
How we built it
Challenges we ran into
Lots of Challenges
Accomplishments that we're proud of
What we learned
What's next for MEDICO
Built With
css
deeplearning
django
html
image-processing
javascript
postgresql
python
rasa
tensorflow | a | a | ['Jayit Saha', 'Ishita Dasgupta'] | [] | ['css', 'deeplearning', 'django', 'html', 'image-processing', 'javascript', 'postgresql', 'python', 'rasa', 'tensorflow'] | 22 |
10,017 | https://devpost.com/software/email | Inspiration
Leave no man behind reach all across nation
What it does
Prevent and move on program confirm involve & enggagement
Social live and safe working environment
How I built it
Broucher or clipboard
Challenges I ran into
No software editable
Accomplishments that I'm proud of
save life
What I learned
immediate action taken and mutual understand
What's next for Email
address and #nation service and #school
Built With
ios | Email | COVID informations | [] | [] | ['ios'] | 23 |
10,017 | https://devpost.com/software/deep-dive-into-citizen-journeys | Inspiration
As SafeEntry starts to get implemented on a wider scale across more businesses, we should start using these data points to not only support existing contact tracing efforts, but leverage on this data to perform analytics to understand how the lockdown has impacted people’s travel patterns and which group of visitors is risky of infection. A visitor is someone who has travelled.
This can potentially be used to assess how different lockdown measures has impacted people’s travel patterns, informing policy makers on the impact of different measures.
What it does
SafeEntry collects data on the visit location, type of essential service visited, time of visit and dwell time of each visit. From the form submission, we are also able to infer the age group of the visitor. We can aggregate these data points to start building a segmentation analysis of visitors, drawing key insights such as frequency of travel, who do they travel with, travel behaviours and preferences, number of unique locations visited per week, what essential services do they use, and infer their “shopping mission”. Examples of shopping missions that can be inferred include:
Travel to purchase daily groceries (checked in at supermarkets every other day)
Travel for work (regularly check in to 2 locations relatively far away)
Travel for food (check in daily at the same shopping mall near meal times).
Each visitor segment could then be assessed for risk of infection. For example, a segment that travels almost everyday is more likely to be exposed to the virus. A visitor segment that over-indexes with people belonging to an older age group is also a riskier group. Riskier segments identified could then be targeted to bring down their risk profiles, and we can leverage on other apps that Govtech has built. Potential actionable insights include:
A visitor segment is identified to be risky as they regularly travel for groceries - the government could provide incentives/vouchers via RedeemSG to encourage these people to shop online, such as providing free NTUC delivery slots, so as to reduce need for travel.
A visitor segment is identified to be risky as they regularly travel during 12-2pm - this segment might be travelling to buy lunch (inferred shopping mission, but could be crossed checked by investigating if they check in with food businesses). It would be critical to monitor this segment. Does phase 1 and opening of more stores such as bubble tea shops cause their dwell time and/or visit frequency to go up?
We can deep dive into community cases and see which visitor segment they belong to. Are there any drivers as to why they were infected? Do they belong to a segment that works in their office as essential personnel? This can help the government identify key drivers to focus policies on, and decide which measures to loosen during the phased circuit breaker period.
One key concern is personal data used and data privacy concerns. Personal identifiers (such as NRIC) tagged to the data should be hashed and the key should be stored separate from the data analysts. All results produced should also be aggregated, to a minimum visitor segment of 100 people. This can further prevent traceability of an individual.
How to build this
This idea is conceived with the fact that the data should be available, and no further data capture work needs to be done. Besides data cleansing, data scientists would need to perform EDA and perform segmentation analysis. It might be as quick as a week or two to deliver some initial insights.
Challenges that might be faced
Use of personal data needs to be well managed here. We are not aiming to track an individual, but to identify key visitor segments that are high risk to infection. This analysis provides a baseline data-driven understanding of visitor segments, and we can assess how different policies will and have impacted the risk profiles of certain segments.
Built With
python
sql | Visitor segmentation | Risk profiling of visitor segments to drive policies to reduce these risk profiles | ['Kenrick Tan'] | [] | ['python', 'sql'] | 24 |
10,017 | https://devpost.com/software/covid-19-risk-score-checker | Context
- Currently, S'pore's COVID-19 measures are relatively broad-based, without consideration for personal health risk factors. For example, we impose the same safe distancing rules on all workers, regardless of their health statuses.
Need
- As we re-open our economy, we need a more targeted risk management strategy, with the individual health risks quantified using rigorous scientific evidence.
Solution
- I developed an online risk score assessment tool (
https://sgcovidcheck.shinyapps.io/covid-19/
) , to (1) help our people obtain a personal assessment of their COVID-19 mortality risk and (2) help policymakers quantify the health risks associated with re-opening our economy.
Method
- The risk scores are based on a study using Cox-regressions on ~17 million patients in the UK, comprising ~5,500 COVID-19 deaths, by researchers at LSHTM and Oxford.
Next Steps
- The government should validate the online tool using S'pore patient data. If valid, then it should use these risk scores to (1) draft more nuanced guidelines for each health risk level and (2) quantify the health risk associated with re-opening specific workplaces by aggregating individual employee health risk scores at that workplace.
For example, the government should encourage employees to self-report their risk scores to their employers, so that employers can develop more tailored measures (e.g. special staggered work timings for high-risk employees). It can also reduce the number of on-site employees in workplaces that have a high concentration of high-risk employees or increase safety inspections of such workplaces. This should also be coupled with MOM manpower submission data and Safe Entry data on the type and number of workers in a workplace and frequency of visitors to develop a more comprehensive analysis of risk.
Built With
r
Try it out
sgcovidcheck.shinyapps.io | COVID-19 Risk Score Checker | Predicting risk scores for a more targeted approach to re-opening | [] | [] | ['r'] | 25 |
10,017 | https://devpost.com/software/migrantlingo | Recording speech and favorite
Sample card
Feedback 1
Feedback 2
App
|
Figma
Main Aim of participating in the Idea Sprint
We care about Migrant Workers' condition, but believe that some attention should also be paid to longer term needs. More specifically a) Remote and independent learning and b) Learning that boosts their integration with our society.
We want to prototype and prove the following hypotheses: a) That we can build a simple, cross platform and user friendly tool. b) Speech learning can be automated in a unique way with current technology.
Inspiration and Issues
As the current COVID'19 pandemic hits our Migrant Workers population, there has been more awareness of a few problems and needs:
In the short term, how can we urgently aid them in communicating with frontline workers, the majority of which speak English and may face difficulty communicating in the workers' native tongue?
Also in the short term, how can we support remote learning of Migrant Workers as the situation critically impedes their learning progress?
In the longer term, how can we support better integration of the Migrant Workers in to the Singapore Society?
How MigrantLingo addresses this problem
Our App, MigrantLingo, is chiefly made for Language Learning. Our goal is to prototype a solution that aids language learning with a focus on training speech and listening abilities that to our knowledge, does not yet exist. For this prototype, we assume our users are mostly Bangladeshis who understand Bengali.
For the immediate aim of facilitating communication, we allow users to bookmark communication cards that are they think will be useful for them.
For the longer term aim of enhancing language learning, we prototyped a solution that teaches the users how to speak common English phrases and then immediately test them on it, giving them a score for the accuracy and quality of their pronunciation.
By allowing migrant workers to use this app, we believe they can improve their language learning independently, with a focus on listening and speaking. This boosts their interaction abilities and allow stronger integration into our society.
We built this app as a Mobile first Progressive Web App (PWA) which is complementary to Migrant Workers’ learning as most of them own and use a Mobile Phone. In addition most Mobile Phones can access modern browsers and have microphones.
We believe with a portable learning tool that gives instant feedback, it can be an scalable and effective way to learn, paving the way for better integration of Migrant Workers in our society.
How we built it
We built it with Flask as the backend framework and React as the frontend framework.
We used Google Speech and Storage APIs to power most of the things happening in the backend.
Finally we deployed it on Heroku.
Accomplishments that I'm proud of
We found up about the IdeaSprint and its deadline on Thursday 1am, and worked to build this in a very short amount time while juggling school lessons and meetings.
Beyond the Idea Sprint, how do you envision your idea/prototype/product scaling and being applied?
How this app will be used:
If there is actual validation for the usefulness of this product, we envision onboarding more experts and experienced people. People who have experience teaching and working with Migrant Workers will be welcomed to provide feedback and contribute to the future development of the product.
In a matter of months, we believe such a product can be rolled out to Migrant Workers for their learning and communication needs. In fact, urgent features can be rolled out first so that Migrant Workers can have a portable bank of important expressions that aid in their communication.
There are many ways we can improve this app going forward:
Nurturing a community around the app: We believe that going forward, the content of this app should be crowd sourced. People with Bengali expertise should be able to create decks of cards that suit a particular theme. This is why we one of our next features planned will be deck creation abilities.
User accounts and tracking metrics: Users should have a dedicated account that they may track their own learning progress for. With specified metrics, our app becomes more extensible and we are able to use data to enhance learning. One example of that is to build an algorithm that optimises for spaced repetition, hence serving cards that our users perform worse on more frequently and in a timely manner so that language learning is better internalised. (e.g. If a user cannot pronounce a particular expression well, we will keep pushing the card with the expression until the user does it well. Correspondingly, if a user can already pronounce an expression well, we can push it to them less. We will do so in a manner that aligns with the spaced repetition technique of internalising knowledge)
Actual human voice - currently we use AI synthesised voice for the sample audio. But given the finiteness of sample expressions, we can possibly crowdsource actual human recordings.
Training a more specific model for speech to text: The current model is heavily biased towards American English. We can tweak the model based on the recordings we receive to train
This flashcard approach can be extended to testing Reading abilities, such as the ability to recognise what a sentence means. However, reading abilities are still secondary to the main aim of our app.
Built With
flask
google-web-speech-api
heroku
react
Try it out
migrant-lingo.herokuapp.com | MigrantLingo | Given the greater awareness of Migrant Workers's contributions and lack of welfare, how can we continue to support them in remote language learning so that they may integrate better into SG society? | ['Lionell Loh', 'Andre Hadianto', 'Claire Tan'] | [] | ['flask', 'google-web-speech-api', 'heroku', 'react'] | 26 |
10,017 | https://devpost.com/software/lyrics-3w0bfl | Inspiration
It provides videotelephony and online chat services through a cloud-based peer-to-peer software platform and is used for teleconferencing, telecommuting, distance education, and social relations.
Built With
python
Try it out
github.com | hackwithteam | this app will allows doing group activity with team | ['Vidushi Agarwal'] | ['Best Open Source Project on GitHub'] | ['python'] | 27 |
10,017 | https://devpost.com/software/coval-2za3si | Going Back To Business
COVAL is a community of businesses and customers that keeps each other safe by keeping the regulations together
The Unmet Need
Due to the Covid 19 pandemic, people across the globe are staying at home in quarantine, causing economic loss and social disruption. Naturally, this reality is not endurable in the long term. In the near future governmental restriction will gradually decrease, while the amount of infected people will increase. Therefore, keeping track of potentially infected individuals who are obligated in quarantine is of great importance. Navigating between the need for proper economical and cultural life under democratic doctrines, while maintaining discipline, regulations and sense of security among the people is one of the greatest challenges our society will face. Therefore, there’s a great need for a technological solution that will allow citizens and business owners to go back to normal routine in a responsible and controlled manner. In our perspective, this technological solution should include two components:
Regulation infrastructure ensuring the enforcement of quarantine warrants, mainly keeping infected and potentially infected out of crowded places.
Efficient epidemiologic research tool. This tool should allow a very accurate identification of people who were in the same places (supermarkets, restaurants, bars, etc) and at the same time as the confirmed covid-19 carriers, and alarm them.
Our Vision
In order to face this great challenge, a collective responsibility and discipline among the people must be formed. Our vision is to move democratic countries from a governmental based enforcement system, to a social based enforcement system. We believe that this approach will prove as a stronger tool than the orthodox governmental methodologies both in effectiveness and endurance, while preserving the citizens’ privacy.
COVAL
COVAL creates a controlled businesses’ entry mechanism. COVAL prevents covid-19 carriers / people who are obligated in quarantine from entering businesses using the platform. Furthermore, in the case that one of the users gets infected, COVAL updates immediately all the users who were in the same places at the same time with him in an anonymous manner.
Businesses choosing to be part of the COVAL community gain an efficient and simple enforcement mechanism which assures them that all their customers are feeling good and are not obligated in quarentune warrant or are infected, while maintaining minimal friction. The only way to enter a business that is part of the COVAL community is by using the COVAL app. The process of verifying the people entering the business is done by a doorman that verifies each customer through the COVAL app by picture and ID number.
Customers choosing to be part of the COVAL community gain the ability to enter places that are protected by the platform. The user will be able to see all the businesses working with the platform on a map relative to his position. The user can choose a business by clicking it on the map or by directly searching it on the search bar, much like google maps. When selecting a desired business, the user will see all the measures the desired business is using in order to keep customers safe as possible, as seen in the illustration. When arriving at the destination the user will be able to issue an entrance request, in order to enter the business, which in time the host\guard will have to approve. In addition the user will be asked to sign a declaration of good health and integrity, each time when entering a property. The registration to COVAL is done by scanning driver license/ID like in other apps.
Everytime that the user opens the app, the app verifies that the user is not obligated in quarantine by connecting to a designated API of the local Ministry of Health. In case the user is obligated in quarantine by law at that moment, the app is locked and an explanation is shown on the screen.
A log containing the times and places that the user has entered in the last 14 days is saved locally on the device. In the case that the user gets infected, his log will be transferred anonymously to all the users of the platform, so that each user will compare locally between his log and the anonymous log of the new covid-19 carrier - the comparison result will not be transferred to anyone. Then all users who have crossed paths with the new carrier will get an alarm, and a recommendation to report to the MoH.
This way COVAL protects the businesses and the customers while preserving the customers’ privacy. COVAL is a creative, practical and long term endurable solution to get back to normal life and restore the economies of the world.
Incentives
Customers:
reduce significantly the chance of getting infected in public spaces, maintaining a basic lifestyle, receiving a reliable indication in the case they should enter quarantine.
Businesses:
attracting customers by providing a “covid-19 free” environment, reduces the chance of having a covid-19 carrier in their business that could cause damage to their reputation and even a temporary shutdown in some cases.
Base assumptions
Large Scale - Assimilating the product among businesses and customers at deployment will be a great challenge. With the right marketing and cooperation we can incentivize businesses towards using the app.
Ministry of Health API - our product is based on the existence of an API provided by the local MoH, that allows users to check their current status - obligated in quarantine / not obligated in quarantine.
About us
Ori Gil-ad: Bsc in electrical engineering and physics from the Technion. Currently a graduate student in electrical engineering at TAU.
Shay Shimonov: Bsc in electrical engineering and physics. Currently completing a Msc in electrical engineering at the Technion.
Harel Mendelman: Currently undergraduate student in the electrical engineering faculty of the Technion.
Ron Gatenio: Bsc software engineering from the Technion.
Roy Schory: Bsc software engineering from the Technion.
Built With
firebase
flutter
flutter-(user-app)
react
Try it out
github.com | COVAL | Going Back To Business | ['harel123123 .'] | ['3rd Place Overall Winners'] | ['firebase', 'flutter', 'flutter-(user-app)', 'react'] | 28 |
10,017 | https://devpost.com/software/towards-a-citizen-centric-rental-tenancy-renewal-process | What it does
We propose an improved process that offers tenants a new
'digital-hybrid'
option to renew their tenancy agreement. Instead of needing to visit an HDB branch with hard copy income documents to fill in and verify their application, this process can now be conducted through a web form. The income information collected digitally will allow HDB officers to conduct income checks in the back-end, and determine if the tenant is eligible for the renewal.
If eligible, HDB will mail the tenancy agreement to the tenant for his signature. The tenant can then choose to mail the tenancy agreement back to HDB, or drop it off at his nearest HDB branch.
This improved process resolves the four current pain points identified:
Citizen-centric
: Tenants can now choose to perform the application at home, without taking valuable time off work.
Reduces transactions at HDB branch
: This process has the potential to move a significant proportion of applications online, particularly those from younger, digitally-literate households.
Easier verification for HDB officers
: Income collected digitally allows HDB officers to verify them with other government sources.
Preserves the use of wet-ink signature
: Wet-ink signatures on real estate matters are still required by law, under the Electronic Transactions Act. This digital-hybrid process ensures that wet-ink signatures are still used.
Moreover, in the current covid-19 environment where heightened social distancing is necessary, there is an urgency to minimize such in-person appointments.
What's next for Towards a citizen-centric rental tenancy renewal process
We hope that this idea can be studied by HDB, and that it will inspire a digitized tenancy renewal process.
One of our primary considerations for this digital-hybrid process is the ease of rollout for HDB. By preserving much of what is required in today's application process, we believe that moving the process online will significantly ease HDB branch officers' case load, without introducing unfamiliar processes that will take time to adapt to. The web form has also been created with Form.gov.sg, to demonstrate that this process does not require any customized web engineering to digitize. You can access it here: go.gov.sg/rental-sprint
Built With
form.gov.sg | Towards a citizen-centric rental tenancy renewal process | Every year, HDB processes nearly 50,000 tenancy renewals applications through in-person appointments. In the current covid-19 climate, we need to minimize this. Our digital-hybrid process shows how. | ['Stephanie Siow', 'Dylan Ho', 'Sam Kee'] | [] | ['form.gov.sg'] | 29 |
10,017 | https://devpost.com/software/make-homes-great-again-4pbgwe | Make Homes Great Again: Make home time the best time.
Here's how it works.
Find curated stay-at-home activity ideas with 'Ask Phoebe'.
Hear why it's so crucial to make homes great now more than ever.
Visit us at https://makehomesgreatagain.today
Inspiration
These are challenging times. As COVID-19 forces us into social isolation and increased distancing, tensions worldwide are rising and many find it tough to cope with the situation. With more people on the prowl for ‘home activities’ online, it is clear that everyone is looking for help. With ‘Ask Phoebe’, we can help the world cope with isolation better, one home at a time.
What it does
'Ask Phoebe’ is an AI-driven chatbot that offers a treasure trove of personalised social-distance friendly activity ideas while helping businesses market their services, keeping them in business. Whether you’re a parent with 3 kids or a teenager looking for something to do at home, ‘Ask Phoebe’ will recommend suitable activities based on your life stage and preferences.
How we built it
The chatbot was built on TAIGER’s Converse, a chatbot-building platform leveraging AI technology. TAIGER’s Converse is developed using a number of technologies such as Java, Python, Javascript, and VueJS. It also uses Natural Language Processing (NLP) and Natural Language Understanding (NLU) powered by TAIGER’s proprietary AI Platform. TAIGER's Hybrid AI approach leverages Machine Learning, Neural Networks and Knowledge Graphs to understand and process information like a human, so as to provide an engaging conversation experience. For Ask Phoebe, it is being hosted on the Microsoft Azure Platform.
Challenges we ran into
Structuring the conversation
People belong to varying life stages, and have vastly different activity preferences. The first challenge we faced was on how to best segment these stages and preferences in a way that would not just feel natural, but would also accurately identify people’s needs. This meant brainstorming and coming up with questions that would best allow us to identify these life stages and preferences.
Content Curation
After we set a structure in place, gathering relevant yet interesting content on activities was crucial. Based on all the possible choices, we would have to ensure that each recommended activity would suit both a particular life stage and mood. This meant being selective in the type of activities we would let the bot recommend, and being sharp by considering the context in which they would be doing the activity i.e. alone or with a friend.
What we learned
Ultimately, when it comes to creating a humanistic chatbot, user testing is of utmost importance. Having users test and interact with ‘Ask Phoebe’ resulted in feedback that allowed us to refine the flow of the conversation, create content that was inadequate/lacking, and work on future recommendations.
What’s next
To spread the message, we’re kickstarting a social media movement to invite everyone to
#makehomesgreatagain
. Collaborating with various government agencies and companies, we are encouraging people to share their favourite moments at home on social media and persuade others to do the same.
We will also be adding search and extract connectors within search engines and social domains to enable the bot to conduct search and curation so as to reduce manual intervention from administrators as much as possible.
Ultimately, we hope for ‘Ask Phoebe’ to be an all-in-one tool where users can receive activities, add it into their calendar, and even make direct transactions on.
What we've accomplished so far
High interest reflecting the relevance of our platform.
At the initial period of launch, we saw close to a thousand users on the bot without paid media exposure.
Global to local media exposure
We were picked up by local and regional media like CNA 938, Yahoo, AsiaOne, Technode, Business Insider, and Escape.
This activation saw pick up from a wide spectrum of society.
From experts in the allied-health sector like The Psychology Practice to community groups like Real Mum SG.
Benefiting the larger ecosystem.
Through our B2B engagement program which works with corporates to adopt 'Ask Phoebe' within their business strategy, we see SMBs like GUSH, a local paint store and MNCs like Publicis Media, a global leader in media technology leveraging this activation as a marketing and staff engagement tool respectively
Built With
java
javascript
knowledge-graphs
ml
natural-language-processing
natural-language-understanding
neural-networks
python
taiger-ai
taigerconverse
vuejs
Try it out
makehomesgreatagain.today | Make Homes Great Again | Make home times the best times with ‘Ask Phoebe’, an AI-driven chatbot offering a treasure trove of social distance friendly activities. | ['Belle Soh'] | [] | ['java', 'javascript', 'knowledge-graphs', 'ml', 'natural-language-processing', 'natural-language-understanding', 'neural-networks', 'python', 'taiger-ai', 'taigerconverse', 'vuejs'] | 30 |
10,017 | https://devpost.com/software/patient-health-history-record-system-f8iyxt | Screens Maps
Control of epidemics - Patient Control - Control of Vaccination Campaigns - Expert needs control by location - More reliable and secure data according to the new personal data protection law - More objective targeting of public health policy - Faster reaction to public health emergencies - Doctors with access to all health history and with more accurate patient information including emergency care - Patients with an updated and accessible health history when they need medical care - Public authorities using mathematical models to make projections with greater reliability - Patients using mathematical models to make projections and personalized predictions - Access to vulnerable population to technologies given only to people with private health insurance - Access to information of people using private health insurance by the government - People who have a private health plan and switch to the public health system without losing data - More accessible and reliable data than in DATA SUS - Data held by patients - Data released only for those patients who wish to access - Health History x Digital Health Record - Simplification of the database used today using data lake methodology
Built With
datalake
flutter
ionic
react
Try it out
github.com | Patient Health History Record System | We have developed a project for the public health area that aims to serve the poorest population. | ['Jose Alexandro Acha Gomes'] | [] | ['datalake', 'flutter', 'ionic', 'react'] | 31 |
10,017 | https://devpost.com/software/improving-the-adoption-and-data-collected-by-tracetogether | Super Quick Summary
Think of it as being the WeChat for covid-19. One app that does it all!
Why is this important
The current TraceTogether app already have good traction and it helps to reduce the cost of contact tracing. Thus, working on top of it and making it better and more widely adopted would be a cost effective move, since every new adoption increase the effectiveness of the app exponentially.
TraceTogether is the main app and it promotes the "strength in unity" narrative. On top of that I would add ScareAway that promotes the "keep yourself safe" narrative. If people download TraceTogether just because of the ScareAway features, TraceTogether will become like a "Trojan Horse" that find its way into the users phone. The same concept applies to other narratives such as "super convenience".
Inspiration
As all human have self-preservative instinct, we should leverage on that to our advantage to:
get more people to download and use the app;
reduce the number of people going out especially to places where known cases have traveled to, to reduce the risk of new infections;
reduce the number of people taking the same path of potential cases to reduce the risk of new infections;
auto redistribution effect where when cases increase, people whom are out there will be lower.
As all human will tend to go for convenience, we should leverage on that to our advantage to:
get more people to download and use the app;
Features to leverage on self-preservative instinct
Quick summary: Adding hotspot and geofencing features to TraceTogether app so that people can have the choice to decide if they really wanna hang out or go to that hotspot. This add an additional narrative to speak to a majority of people whom are scared and do not want to contract the virus. They will be inclined to download the app, so that they can avoid high risk area. This also reduce the crowd in a high risk area, thus reducing the probability of contracting the virus.
Details
Hotspot of all the current known cases and cluster with level of severity:
Heatmap coloring
newly found case will be red
after 14 days and no new cases link to that spot will be orange
after 28 days and no new cases link to that spot will be yellow
after 42 days and no new cases link to that spot will be cleared
Heatmap sizing
size to cover the entire building
>10 new cases link to that spot will have the size increase by 10%
>50 new cases link to that spot will have the size increase by 20%
>100 new cases link to that spot will have the size increase by 30%
Option to let people turn on and off location service so they will have a dot on the map to more easily identify if they are close
So people whom have no real need to be there, will not stay or go to that places, and risk getting the virus from people whom are there frequently
Geofencing of all know cases and cluster and notify the user when they are entering a hotspot:
So people whom have no real need to be there, will not stay or go to that places, and risk getting the virus from people whom are there frequently
Option to let people turn on and off location service for this feature
Since user whom are in close contact with new cases are immediately notified if they are close contact with newly diagnosed cases, some prompt could be included to help ScareAway people
A choice for them to turn on location to leave a trail so people will avoid walking that path to reduce the risk of getting the virus that may be lingering in the air or surface of objects
A choice for them add another json key-pair (e.g. "cc": 1) to indicate to other phone that they are identified as close-contact with a confirm case, so the other phone will get a notification to avoid staying nearby for too long and should move away
this also helps if the person is suppose to stay at home and they get out of the homes with their phones on them, so people can avoid them
Features to leverage on convenience
Quick summary: Look at current services that those people whom did not install the app will need or want and integrate it to the app and make it more convenient so as to entice them to download it. e.g. one click SafeEntry.
Details
Going to mall and place requires the person to either scan their IC barcode, or use the QR code. If we allow the choice of using the TraceTogether app to verify their check in and out and make it more convenient then the other options, that would increase the chance of user downloading the app.
could be done by installing a laptop version of the TraceTogether (all mall now have a laptop to scan the IC), and if you are near the laptop the TraceTogether app can verify you are checked in. Your phone shows that you are check in, you show the staff and walk in.
no need to find your wallet and IC, no need to use many apps just to get the QR code check-in working
Create portable keychain beacons devices that uses the BlueTrace protocol so that seniors that don't have phone still can be part of the TraceTogether ecosystem.
Integrating features such as MaskGoWhere or whatever covid-19 related services to increase the stickiness of the app.
How to test if it works
Survey with current user on the ScareAway's narrative, benefits & feature and check on the acceptance rate, the rate where they will share and the rate that they will install for their immediate contact.
A/B testing of promotional material one talking about the TraceTogether feature, one about ScareAway feature and check the conversion rate.
Run a POC and place marketing material to promote one-click SafeEntry at a mall with a QR-code to download the app (embedded with a tracking id so you know user download the app as they saw the marketing material). Of course it will end up saying it is a market test, and ask them to click subscribe to get notified when the app is ready. check the scan rate and subscribe rate to determine if it is worth the effort to go ahead.
Potential challenges
If a group of people are super against the idea of having the location and will not download if the app permission includes the work location, we might need the ScareAway app as a standalone app with same base code as TraceTogether but with the additional features.
What's next for Improving the adoption and data collected by TraceTogether
Built With
android-studio
java
lean-startup
psychology
ux
Try it out
github.com | Supersize TraceTogether with ScareAway, SafeEntry and more | For every new adoption of TraceTogether it increase the effectiveness exponentially. Thus we would increase adoption by using psychology & adding more features to capture different users' pain point. | ['Boon Thai Ng'] | [] | ['android-studio', 'java', 'lean-startup', 'psychology', 'ux'] | 32 |
10,017 | https://devpost.com/software/eleutherios-alpha | Linear supply chain that scales or aggregates the service or supply chain
Circular supply chain that scales or aggregates the request or conversation
Aggregating, scaling or serializing a circular supply chain or process using a computer or Turing machine.
Eleutherios
Eleutherios (
https://eleutherios.org.nz
) is a platform that makes it easier for people or businesses to cooperate with one another or serve their customer's through a common forum or request.
Problem
The current human supply chain is linear or tries to scale the service or work that people or businesses are performing. For example, if a person was hungry and had $10 to buy food, they might order online and spend $5 on a pizza, $2 on a drink and $3 to have the items delivered to their house.
In this scenario the person can only scale their request or conversation for food, three times. Once for pizza, a second time for a drink and a third time for a delivery service.
The problem is the financial supply chain is forcing the food and logistic supply chain into a linear or one-to-one relationship with the service and the request.
request = $5 (finance supply chain) for pizza (food supply chain)
request = $2 (finance supply chain) for drink (food supply chain)
request = $3 (finance supply chain) for delivery (logistic supply chain)
Solution
Serialize or circularize the supply chain by scaling the customer's forum, request or conversation that they are having with people or businesses, not the service or work that they are trying to perform.
For example, if a person was hungry and isolated at home, they could register with Eleutherios and create a forum for some food. A food store owner could register as a service in the system and subscribe to the forum and ask the person what food they wanted? The food store owner could gather the food from their store and scale the forum by creating a sub-forum for a healthcare worker to help with the delivery of the food. The healthcare worker could scale the sub-forum again and create another sub-forum for a delivery service and accompany the delivery service and be the person that delivers the food to the isolated person.
In this example, it is the forum or request that is being scaled, not the service or work that people or businesses are performing. By delegating the forum or request to services in this way, means that more than one service or supply chain (i.e. civilian, food, healthcare and logistics) can participate in the forum or request at the same time.
Features:
Forum in forum (sustainability/manageability).
Tags for filtering forums or services (searchable).
Alerts to keep users informed when new forums or services are created in the system (notifiable).
Blocking to prevent unwanted services or users from serving in forums they have been asked not to serve in or for requesting services, they have been asked not to request (accountability).
Service reviews (accountability).
B2B or shared processing (scalability).
AI (automatable).
Eleutherios is built with an HTML/javascript (Angular) frontend and node.js (nosql/firebase) backend.
https://eleutherios.org.nz
Discuss or provide feedback.
https://www.facebook.com/groups/2982366048442234/
Help fix bugs or resolve issues.
https://github.com/aletheon/eleutherios-alpha/issues
Make a donation to the Eleutherios open source project.
https://opencollective.com/eleutherios
Built With
circular
css
html
javascript
supply-chain
typescript
Try it out
eleutherios.org.nz
github.com | Eleutherios | Global cooperative forum or supply chain | ['Rob Kara'] | [] | ['circular', 'css', 'html', 'javascript', 'supply-chain', 'typescript'] | 33 |
10,017 | https://devpost.com/software/bettr-co8ln7 | Mockup for TraceStick
M5StickC off the shelf with ESP32 embedded
Premise
With the release of the BlueTrace and Google/Apple Contact Tracing specification, we realize the practicality of low-cost readily-available embedded BLE devices in the role of aiding tracing in cases to complement Android/iOS phones, or as standalone units.
Project TraceStick aims to develop and release open-sourced code and reference designs of a portable, clip-on device with the aim to allow anyone internationally to build and deploy compatible self-contained tracing devices.
The First OpenSourced BlueTrace-Compatible Embeded Device
TraceTogether on mobile phones face severe limiting factors such as lack of support by the Apple ecosystem, dependency on modern iOS/Android devices, and battery life.
We desgined TraceStick from ground-up, as a functional and extensible reference platform.
TraceStick provides an always-on and ubiquitous background operation, with a target
single-charge run-time of 7 days
.
In a
small
2.5" x 2" form-factor, TraceStick stays out of your way either on a lanyard or clipped onto your belt.
Wifi connectivity
allows for OTA updates and simple submission of data.
An
integrated user-interface
provides useful information to users without a phone and, non-savvy users need only care about keeping it charged once in a while.
Add use-cases by integrating with
GPS, temperature sensors, or FLIR
.
Add software enhancements which add features such as
step counting, gamification, or risk evaluation
Extensibility and Other Solutions
Such a design could potentially be adapted to other deployment models and use cases. We propose here a staggering list of such use-cases.
TraceTemp
With the addition of an
NCIR module
, the TraceStick becomes a personal or administrative non-contact
temperature logging device
. Users can regularly take their temperature, and log locally or online.
TraceEntry = TraceStick + SafeEntry
TraceEntry is a
station based variant
of TraceStick, where the device is positioned at fixed location, such as a gantry.
The BlueTrace range is programmatically reduced to be really short, e.g. 50cm, such that the user must stand at a specific spot and bring their phone/TraceStick near.
When the user is identified, it
automatically logs entries to SafeEntry
, facilitating smooth friction-less access.
Additional checks could also be automatically made, e.g.
forehead temperature via
FLIR
mask detection via
low-cost AI camera
holding up NRIC for a camera to verify correctness
TraceSpot
TraceSpot is an alternative usage of the TraceStick as a BLE hotspot with Wifi uplink to checkpoint a specific location.
Assuming all users carry a TraceStick or compatible device, we can
estimate the movement of these users within a building/facility
, observing if a location is too crowded or not.
Combined one or more
low-cost AI cameras
, we can improve on the density signal and also spot
who's not wearing a mask
.
This allows for automated congestion data collection rather than manually logging it with forms/e-forms, especially in small spaces e.g. lifts, shops, bus, cab, etc.
BlueZone Protocol
Gamifying social distancing
, the BlueZone protocol aims to make social distancing a more conscious effort by gamifying the process. Users are assigned a score which will increase while they are appropriately practicing social distancing, i.e staying isolated, reducing exposure to external parties. When the score reaches a suitable threshold, such as 14 complete days of social distancing, users can be awarded with incentives, such as a "safe" marker.
If user do not practice social distancing and instead go out and mingle with the crowds, their individual score will be lowered to match the score of the lowest scoring user that they have encountered. When adopted on a massive scale, users will be more acutely aware of their distancing and ideally adopt better social distancing measures.
This protocol can be adopted easily into TraceStick as another useful feature.
Reference: https://docs.google.com/document/d/1H3WBd6J9H3t_WtkvvXYRcRTtPYe5qjpGHOY1S_gQ13g/edit?usp=sharing
What Next?
We hope to work with governments, countries and organizations to figure out specific use-case workflows, seek development funding and do rollouts to larger groups of users.
Ref:
https://sites.google.com/view/tracestick
Built With
bluetooth
bluetrace
c++
esp32
m5stickc
serial
Try it out
github.com | [bettr.xyz] TraceStick | Project TraceStick aims to develop and release open-sourced code and reference designs of a portable, low-cost and extensible BLE device to aid in contact tracing efforts | ['James Y', 'Francis Lee', 'zhenwei lee'] | [] | ['bluetooth', 'bluetrace', 'c++', 'esp32', 'm5stickc', 'serial'] | 34 |
10,017 | https://devpost.com/software/bettr-project-grey | 1. Inspiration
In view of the escalating COVID-19 situation, circuit breaker measures were introduced in Singapore to curb the spread of the virus. Amid this pandemic, we observe the following problems:
(1) Sense of displacement in the society (amongst elderly); thus affecting health and well-being
After the announcement of circuit breaker measures, we have since seen a handful of cases where the seniors were found idling around public vicinities that were blocked out for use. An on-site interview by CNA attributed this phenomenon to the elderly feeling a sense of displacement in their daily social lives and the inability to leverage on the digital world for social interaction.
With the restriction on physical social interactions, the forms of entertainment for the elderly were mostly limited to television programmes, radio or phone calls. Current efforts by VWOs include befriending and helping the elderly through phone calls or suggesting activities and handicrafts that could be done at home. Nevertheless, these efforts might be insufficient in alleviating the sense of displacement deriving from the abrupt change in their daily routines.
It is recognised that this demographic group is highly susceptible to the COVID-19 infection, yet, the inevitable shift from offline to digital means poses a risk on their mental health (especially for seniors with on-set dementia and depression).
(2) Difficulties in engaging medical services
In a pandemic where medical resources are likely overstretched and exposure to infections are higher at the clinics, non-essential medical services have been advised to be deferred to a later date. Examples of these services include outpatient rehab and therapy appointments and community nursing.
Whilst services such as chronic disease management and medication refill are considered essential services, some elderly might choose to defer the appointments or avoid seeking care in fear of getting infected.
In light of the current situation, the use of telemedicine has been on the rise. However, current implementations might have a complex usability as they require multi-level authentication for better security on video services. As such, telehealth services might still seem foreign to the elderly, especially the seniors who have minimal access to digital devices.
1.1 What it does
A low-friction, in-home communication and medical health monitoring platform, enabling remote healthcare providers to interact and get live readings from elderly patients.
Elderly may also use the platform to connect with friends virtually and communicate over video calls.
2. How we built it
2.1 Challenges we ran into
Identifying product core: avoid duplicating existing local and regional commercial entities, navigating towards complementing government initiatives
Distributed workforce: teams are located across time-zones, geography, with varied mastery of skills
Including key stakeholders (doctors, health institution operation, elderly) need to be consulted to help prioritize critical feature use cases and design
2.2 Prior Work
Independent by James:
Related prior presentations
3. What we learned
Components to address remote elderly health (wide-angled lens, far-field microphone) are available commercially and affordably
Synergies between commercial and public health entities will create a healthy ecosystem including patients, government, and private providers.
4. What's next for [bettr.xyz] Project Grey
Private trial to garner actual user feedback, obtain support from governments and organizations, prioritising new feature development
Built With
hmtl
javascript
peerjs
vue
webrtc
Try it out
webtest.surge.sh | [bettr.xyz] Project Grey | A low-friction, in-home communication and medical health monitoring platform to aid the community-dwelling elderly with limited mobility easier access to care and social interaction. | ['James Y', 'Jing Wen T', 'Ji-Haw Foo', 'Francis Lee', 'zhenwei lee'] | [] | ['hmtl', 'javascript', 'peerjs', 'vue', 'webrtc'] | 35 |
10,017 | https://devpost.com/software/covid-19-phri | 1
2
3
4
5
Problem
COVID-19 Herd Immunity might overwhelm the healthcare system
Development of a safe COVID-19 vaccine will take at least 12 – 18 months
Most individuals with COVID-19 will experience mild symptoms and do not need hospitalization
Goal
To establish population immunity with minimal strain on the healthcare system
How ?
Health conditions of COVID (+) patients who needed hospitalization (high risk) will be collected anonymously from hospitals via an interface (app or website)
Objective self-reported health conditions of COVID (+) patients with mild symptoms who did not need hospitalization (low risk) will be collected anonymously via an interface (app or website)
Hospitalization risk factors will be identified by comparing/analysing the two datasets
Next
Individuals with high hospitalization risk factors will continue self isolation/social distancing
Individuals with low hospitalization risk factors will resume normal life activities
COVID-19 prevalence will be monitored by contact tracing apps or testing | COVID-19 PHRI | COVID-19 PHRI (COVID-19 Population Healthy Relative Immunity) Goal: To establish population immunity against COVID -19 with minimal strain on the healthcare system | [] | [] | [] | 36 |
10,017 | https://devpost.com/software/myfacemaskapp | Prototype model 1 "Dany" pink opaque
Prototype model 1 "Dany" white opaque
AiRFace.it (App)
A new customizable, economic and ecological mask tailored to you
Millions of disposable masks are thrown out every day, which in addition to having a significant environmental impact on nature also have a high monetary expenditure.
To meet all these needs, the
AiRFace.it App
team has developed a project that allows the customization of the mask or the creation of transparent masks that can adapt to the features and therefore customizable by scanning the face in 3D.
This is
AiRFace.it App
, a mobile application that can be downloaded free on IOS and Android devices.
The scanning process is quick and easy: it happens through the use of the mobile phone camera.
In addition, the material used in the production of the masks, biodegradable and hypoallergenic allows a repeated use, being able to sterilize the washing at high temperatures .
The mask is therefore ergonomic and environmentally friendly, because you just need to change the filters.
The 3D model can also be printed from the comfort of the house without leaving. The advantage is that, being custom-built, the signs released by normal masks after hours of use will be reduced.
Considering the difficult and delicate situation we are experiencing,
AiRFace.it App
would ensure protection and prevention with zero impact on the environment and would meet individual needs.
It would be an optimal solution, without going out to buy it if you already have a 3D printer or otherwise we print and deliver directly to your home! The App is free as well as the availability of the various basic 3D models.
Ergonomic
My face mask with its 3D scanning process, allows you to create ergonomic masks suitable for every feature of your face. This custom adaptation will allow you to reduce the marks released by normal masks after hours of use.
3d Printer
The realization of the 3D masks allows anyone to create them independently.
In fact, a 3D printer and a mobile phone are enough to quickly create personalized templates based on the desired quantity.
Ecological
The material of these masks is absolutely ecological, a very important feature if you consider high consumption
daily, especially in
some sectors.
In fact, these masks can
be reused several times later
washing at high temperatures which allows sterilization.
Trasparent
One of the main features of AiRFace.it is transparency.
The idea of making these masks with a transparent material was born mainly from the awareness of the importance of lip reading for deaf people.
Privacy
For us your privacy comes first, that's why AiRFace.it complies with all Gdpr (
https://gdpr.eu
) regulations and no personal data will be transmitted.
The problem solved by the project
With AiRFace.it App we want to find the solution to the problem of the availability of personal protection devices for everyone, in fact thanks to this app anyone can print his mask, following our guidelines for the use of safe and biodegradable materials, with their own 3D printer,only if you are certificated member of our network to ensure the quality and safety of the mask produced according to all applicable regulations, so that you have a mask for you and your family that can last for all this complicated period that we are living.
The solution you bring to the table
AiRFace.it is installable for free on all iOS and Android devices that have compatibility requirements and in a simple automated way and can create your own 3D mask and send it directly to the 3d printer certificated
The impact of the solution on the crisis
The idea behind this project is to create a safe, cost-effective product that respects nature for us and future generations
The needs to continue the project
This project needs funds in order to create the best mask with the best materials and for this a significant investment in research and development in addition to wanting to make and print masks to those who do not have the opportunity to have their own 3D printer
The value of your post-crisis solutions
We believe a lot in this project because it is a valuable help to anyone who does not have the opportunity to always have a disposable mask and this mask can be reused even after this crisis (hopefully it ends as soon as possible) in any sector that needs personal protection devices
The AiR net blockchain
We are creating a network of certified makers to be able to print masks for doctors and nurses for free to thank them for their valuable help.
We are working with other startups to create a network of certified makers using the Ethereum blockchain to create smart contracts in order to be able to transparently verify the entire network.
We are creating a decentralized system that is based on blockchain eos to ensure the total transparency of certification of the materials used to print the masks.
Currently our team also collaborates in the creation of protective equipment for doctors and nurses to thank them for their difficult work.
Built With
blockchain
c#
html5
java
javascript
kotlin
objective-c
python
swift
Try it out
airface.it
bitbucket.org | AiRFace.it App | A new customizable and ecological mask tailored for you | ['Massimiliano Pizzola', 'Daniela Tabascio'] | [] | ['blockchain', 'c#', 'html5', 'java', 'javascript', 'kotlin', 'objective-c', 'python', 'swift'] | 37 |
10,017 | https://devpost.com/software/wecare-5l9dgi | Home Screen of app, which allows you to report your symptoms, check the status of your circle, and get daily personalized tips.
Map Screen of app, which allows you to see hotspots around you and your Care Circle.
Care Circle screen of app, which allows you to health conditions of your loved ones.
Web interface, which can be used to update the symptoms. It is synced with the app.
New logo.
Update with a key.
Hotspots for countries.
Options from the start.
Questions about your health.
Hot spots.
App design
As the outbreak of COVID-19 continues to spread throughout the entire world, more stringent containment measures from social distancing to city closure are being put into place, greatly stressing people we care about. To address the outbreak, there have been many ad hoc solutions for symptom tracking (e.g.,
UK app
), contact tracing (e.g.,
PPEP-PT
), and environmental risk dashboards (
covidmap
). However, these fragmented solutions may lead to false risk communication to citizens, while violating the privacy, adding extra layers of pressure to authorities and public health, and are not effective to follow the conditions of our cared ones. Unless being mandatory, we did not observe the large-scale adoption of these technologies by the crowd. Until now, there is no privacy-preserving platform in the world to 1) let us follow the health conditions of our cared ones, 2) use a statistically rigorous live hotspots mapping to visualize current potential risks around localities based on available and important factors (environment, contacts, and symptoms) so the community can stay safer while resuming their normal life, and 3) collect accurate information for policymakers to better plan their limited resources.
Such a unified solution would help many families who are not able to see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. These urgent needs would remain for many months given that the quarantine conditions may be in place for the upcoming months, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and COVID-19 potential reappearance next year at a smaller scale (like seasonal flu). There is still uncertain information about immunity after being infected and recovered from COVID-19. Therefore, it is of paramount importance to address them using an easy-to-use and privacy-preserving solution that helps individuals, governments, and public health authorities.
WeCare Solution
WeCare is a cross-platform app that enables you to track the health status of your loved ones. Individuals can add their family members and friends to a Care Circle and track their health status and get personalized daily updates on best prevention practices. In particular, individuals can opt-in to fill a simple questionnaire, supervised by our epidemiologist team member, about their symptoms, comorbidities, and demographic information. The app then tracks their location and informs them of potential hotspots for them and for vulnerable populations over a live map, built using opt-in reports of individuals. Moreover, symptoms of individuals will be tracked frequently to enable sending a notification to the Care Circle and health authorities once the conditions get more severe. We have also designed a citizen point, where individuals get badges based on their contributions to solving pandemic by daily checkup, staying healthy, avoiding highly risky zones, protecting vulnerable groups, and sharing their anonymous data.
WeCare includes a contact tracing module that follows the guidelines of Decentralized Pan-European Privacy-Preserving Proximity Tracing
(PEPP-PT)
. It is an international collaboration of top European universities and research institutes to ensure the safety and privacy of individuals.
What we have done during the weekend
Have been in contact with other channels in Brazil and Chile.
We have updated the pitch (extended), app-design and backend connection of the app this week. New contacts with Chile and Singapore. We have also made some translation work with the app. Shared more on social media about the project and also connected to more people on slack and LinkedIn. We have also modified the concept of Care Circle and how to add/remove individuals. Now, the app is very easy-to-use with minimal input (less than a minute per day) from the user. We are proud of the achievements of our team, given the very limited time and all the challenges.
Challenges we ran into
The Hackathon brought together plenty of people of different expertise and skills. There were challenges that we faced that were very unique, as we faced a variety of communication platforms on top of open-source development tools.
Online Slack workspaces and Zoom meetings and webinars presented challenges in forms of inactive team members, cross-communications, and information bombardment in several separate threads and channels in Slack and online meetings of strangers that are coordinated across different time zones. In developing the website and app for user input data, our next challenge was in preserving the privacy of user information.
In the development of a live hotspot map, our biggest challenge here was to ensure we do not misrepresent risk and prediction into our live mapping models.
Also for the testing of the iOS version, we ran to the new restriction of App Store for COVID-related apps, which should be backed up by some health authorities or governmental entities.
The solution’s impact on the crisis
We believe that WeCare would help many families who can see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. The ability to check up on their Care Circle and the hotspots around them substantially reduces the stress level and enables a much more effective and safer re-opening of the communities. Also, individuals can have a better understanding of the COVID-19 situation in their local neighbourhood, which is of paramount importance but not available today.
The live hotspot map enables many people of at-risk groups to have their daily walk and exercise, which are essential to improve their immunity system, yet sadly almost impossible today in many countries.
The concept of Care Circle motivates many people to invite a few others to monitor their symptoms on a daily basis (incentivized also through badges and notifications) and take more effective prevention practices.
Thereby, WeCare enables everyone to make important contributions toward addressing the crisis.
Moreover, data sharing would enable a better visual mapping model for public assessment, but also better data collection for the public health authorities and policymakers to make more informed decisions.
The necessities to continue the project
We plan to continue the project and fully develop the app. However, to realize the vision of WeCare we need the followings:
Public support: a partnership with authorities and potentially being a part of government services to be able to deploy it on AppStore. It also makes WeCare more legitimate. This would increase the level of reporting and therefore having a better overview and control of the crisis.
Social acceptance: though being confirmed using a small customer survey, we need more people to use the WeCare app and share their data, to build a better live risk map. We would also appreciate more fine-grained data from the health authorities, including the number of infected cases in small city zones and municipalities.
Resources: So far, we are voluntarily (and happily) paying for the costs of the servers. Given that all the services of the app and website would be free, we may need some support to run the services in the long-run.
The value of your solution(s) after the crisis
The quarantine conditions and strict isolation policies may still be in place for upcoming months and year, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and possible COVID-19 reappearance next year at a smaller scale (like seasonal flu).
Therefore, we believe that WeCare is a sustainable solution and remains very valuable after the current COVID-19 crisis.
The URL to the prototype
We believe in open science and open-source developments. You can find all the codes and documentation (so far) at our
Website
.
Github repo
.
Pitch:
https://youtu.be/7fMrVqxoPKY
Pitch extended version:
https://youtu.be/Vo0gs3WlptU
Other channels.
https://www.facebook.com/wecareteamsweden
https://www.instagram.com/wecare_team
https://www.linkedin.com/company/42699280
https://youtu.be/_4wAGCkwInw
(new app demo 2020-05)
Interview:
https://www.ingenjoren.se/2020/04/29/de-jobbar-pa-fritiden-med-en-svensk-smittspridnings-app
Built With
node.js
python
react
vue.js
Try it out
www.covidmap.se
github.com | WeCare | WeCare is a privacy-preserving app & page that keeps you & your family safer. You can track the health status of your cared ones & use a live hotspot map to start your normal life while staying safer. | ['Alex Zinenko', 'Sina Molavipour', 'Ania Johansson', 'Hossein S. Ghadikolaei', 'Christian M', 'Seunghoon HAN', 'Tomasz Przybyłek', 'Mohamed Hany', 'Alireza Mehrsina'] | ['1st Place Overall Winners', '2nd Place'] | ['node.js', 'python', 'react', 'vue.js'] | 38 |
10,017 | https://devpost.com/software/resumatch-vetd1a | Website
Jobs suggested based on similarity to uploaded resume (sales resume)
Jobs suggested based on similarity to uploaded resume (business resume)
Current Solution - MyCareersFuture
Proposed Solution VS Current Solution
Future Improvement
Click here for the slides
Inspiration
Unemployment has come under the spotlight recently with many workers losing jobs due to the COVID-19 pandemic. In particular, total employment in Singapore contracted by 19,900 in the January to March period, facing the sharpest drop since SARS.
Workers in the gig economy are particularly hard hit, while fresh graduates are finding it difficult to enter the job market in these uncertain times. Nevertheless, companies still need workers and are hiring. However, it is difficult for job applicants to find the right jobs because they might simply be looking in the wrong place or even looking for the wrong positions!
Current Solution - MyCareersFuture
There currently exists the MyCareersFuture jobs portal that recommends jobs to job seekers based on the skills they have typed in. These skills are based on predefined keywords inside the jobs portal. When the user selects the skills, the skills are compared with the job postings. However, useful information that goes beyond the keywords will be lost. For one, the skills mostly look for hard skills and not soft skills. Hence a job applicant will only ever be confined to the job title he is searching for, although there may be another job that is more suited to his soft skills. Furthermore, using predefined skills means that the database of skills has to be manually updated, which is not feasible especially in the tech industry where new skills are constantly being created. Hence, a jobseeker possessing a new skill X may not be matched to a job that is looking for new skill X simply because X is too new and has not been added as a skill on the jobs portal.
So why not automatically compare the applicant's uploaded resume with the job description without relying on keywords only, and then provide recommendations based on the fit? This way, the applicant does not have to manually key in his or her skills, nor even log in to the portal. The applicant simply has to upload their resume onto the ResuMatch website, and targetted job recommendations will appear.
What ResuMatch Does
ResuMatch simplifies the process for job applicants. It uses machine learning to automatically extract information from the applicant's uploaded resume, and then do a direct comparison with the full description of the job postings without having to compare by keywords only. In this way, jobseekers are no longer constrained to a single job title because the machine learning algorithm will also recommend new job titles that fit with the applicant's resume. This also means that there is no need to manually update the database of skills when new technologies are released, because the machine learning algorithm does not depend on the keywords but can just do comparisons at the document level. Hence, ResuMatch is able to obtain information beyond the keywords to provide more targeted recommendations.
How ResuMatch Works
The following summarizes the steps taken to provide smart job recommendations to applicants based on their uploaded resume:
When the resume is uploaded onto our website as a PDF, relevant information like the applicant's skills and experience is extracted from the resume.
A Bidirectional Long Short Term Memory Network (BiLSTM) categorises job descriptions into job titles like “business analyst” and “accountant”. The model predicts the top 10 job titles that the skills and experiences listed in the resume are likely to fall under, opening up the job applicant to more job choices.
A request to the Adzuna API is made to get job postings that are relevant to the top 5 job titles found.
With the job postings, a state-of-the-art Natural Language Processing model, the Universal Sentence Encoder, is used to encode the job descriptions into high dimensional vectors and capture the nuances behind each word in the description.
The resume information is also encoded into high dimensional vectors and with cosine similarity, the similarity of the applicant’s resume to the job description is obtained.
The top most similar job postings that match the applicant’s resume is returned.
What's next for ResuMatch
I will implement the functionality to allow companies to create their job postings on this platform to provide even more options to workers. In addition, the job postings will be categorised into different categories including "freelance", "fresh graduates", "interns", and so on to facilitate the search for jobs.
Ultimately, I hope to integrate the machine learning algorithm with MyCareersFuture to provide more targeted job recommendations -- all users can simply go onto the website, upload their resume and receive customised job recommendations based on their resume, without having to manually type in their skills.
Furthermore, users will also receive email updates of new job postings that are highly compatible with their resume. This means that once users have uploaded their resume onto the portal, they do not have to search for jobs every time but instead will be recommended jobs whenever new compatible job openings are posted, automating the job searching process and opening them up to more job possibilities.
The machine learning algorithm can also provide recommendations to applicants to upskill based on their resume.
Built With
flask
javascript
keras
machine-learning
natural-language-processing
python
react
Try it out
tinyurl.com | ResuMatch | Out of job due to COVID? Find smart job recommendations with a simple resume drop. | ['Haohui Liu'] | [] | ['flask', 'javascript', 'keras', 'machine-learning', 'natural-language-processing', 'python', 'react'] | 39 |
10,017 | https://devpost.com/software/covid-feel-good | The "Secret Garden" VR experience
CNBC coverage of our work (25 April 2020)
The home page of the web site
The protocol page in the web site
The logo of the project
## Inspiration
Living in the time of the coronavirus means experiencing not only a global health emergency but also
extreme psychological stress
that puts a strain on our identity and our relationships. The coronavirus and the associated quarantine forces us to manage
three different psychological dilemmas simultaneously
:
the stress of the disease,
the disappearance of places,
and the crisis of the sense of community.
In fact, the coronavirus pandemic
is having a significant effect on people’s mental health that requires urgent support
.
On one side,
is currently difficult to find to any form of psychological support
. The social isolation of the quarantine and the economic downturn are limiting the possiblity of accessing to mental health specialist with the risk of a rise in conditions like anxiety, depression and addictions.
On the other side, one of the paradoxes of coronavirus is that
despite being a problem, it can also be a unique opportunity
. In fact, willingly or unwillingly, it forces us to change and manage new situations such as quarantine, close coexistence with children and spouse, lack of relationships, and so on.
This process of change can be dramatically boosted by transformative experiences
, forcing individuals to critically examine and eventually revise their core assumptions and beliefs. Unfortunately, most transformative experiences cannot be planned in advance, but happen suddenly in individuals’ lives, without a prior control on their contents and their effects.
## What it does
This protocol uses the power of virtual reality to provide a
transformative experience
that can help individuals in two ways:
By providing a digital place in which subjects can relax and reflect;
By facilitating a process of critical examination and eventually revision of core assumptions and beliefs.
In particular we used the rules defined for an effective design of Transformative Experiences, to develop the "Secret Garden" VR experience and its weekly protocol you can find in the
Covid Feel Good web site
.
For a long time,
the main barrier to a broad use of VR technology was its cost
. However, now the simplest and cheapest form of VR comprises nothing but a pair of magnifying lenses and a sheet of cardboard or a plastic box. These headsets
sell for 15–30 USD
. and use a standard smartphone as a tracker and display to generate the three-dimensional (3D) environment. Mobile-based VR is particularly suited to a specific VR content that can be very useful to address the coronavirus stress:
360-degree videos
.
360-Degree videos have the power to virtually transport users, immersing them in the video recording, allowing them to actively explore its content and experience the video from any angle.
As recently demonstrated by Li et al.
, these videos have the ability to induce specific emotions characterized by different levels of valence and arousal. More,
as shown by Robertson and colleagues
the neural representations of the part of the 360-degree video presented in VR (the scene within the current field of view) prime the associated representations of the full panoramic environment, facilitating subsequent perceptual judgments. In other words, 360-degree videos generate a dynamic interplay between memory and perception that can be used to improve the features of these cognitive processes and to update their contents.
## How we built it
"The Secret Garden" Virtual Reality immersive experience has been developed through an integrated process involving psychologists, 3D artists, musicians, storytellers and designers. This immersive experience storyboard has been:
written by
wellbeing psychologists
;
converted in a VR experience by
3D specialists
using the
Unreal engine
technology (with complex post-production activity related to VR conversion);
it has been sounded by
musicians
and then dubbed by a
professional dubber
. We used the Augmented Relaxation approach involving deactivating human threat protection system and activating soothing system (see
"Emotion Regulation Systems" theory
;
finally, the protocol has been designed by a team of
clinical and cognitive psychologists
.
## Challenges we ran into
A significant challenge for any psychological intervention during the quarantine is the
ratio between accessibility and efficacy
. Our goal was not to provide a full structured psychological intervention, but to
build the "surgical mask" of mental health support
.
Surgical Masks do NOT provide the wearer with a reliable level of protection against coronavirus (20%) versus the 95/99% of FFP2 and FFP3 masks.
However, they are very effective in protecting others from the wearer’s respiratory emissions, and their use is significantly better than wearing a scarf.
Here, we try to do the same.
The goal of this VR protocol is not to solve complex mental health problems, but rather to reduce the burden of the quarantine by relieving anxiety and stress and improving interpersonal relationships.
Additionally, by facilitating self-reflectiveness and constructive exchange with relevant others, it improves our ability to adapt to the challenges and take advantage of the opportunities offered by the Coronavirus.
## Accomplishments that we're proud of
We have already completed the protocol and the VR experience in English, Italian, Spanish and Catalan
. You can test it now in the
Covid Feel Good web site
. We are now working to produce the experience in other languages and with more contents.
## What we learned
Creating easy tools for mental health is not easy
. In particular it is difficult to
balance the difficulty and the involvement required with the efficacy of the process
. In this view, focusing on clear goals and simplifying as much as possible the technology needed improves the efficacy of the system.
## What's next for COVID Feel Good
We want to start a
multicentric controlled study to verify the efficacy of the presented approach
. Our goal is to reach at least 240 subjects in three months.
More, at the moment COVID Feel Good is a self-help VR experience. The next step is
to add the clinicians in the process, by developing a set of easy VR tools to empower them
.
Built With
unreal-engine
Try it out
www.covidfeelgood.com | COVID Feel Good | An easy self-help virtual reality protocol for coping with the psychological burden of Coronavirus. | ['Brenda Wiederhold', 'Luca Bernardelli', 'Riva Giuseppe'] | [] | ['unreal-engine'] | 40 |
10,017 | https://devpost.com/software/streamlining-contact-tracing-to-reopen-our-economy | Inspiration
Contact tracing is the prime strategy to combat COVID-19.
Optimising quarantine yields requires better data collection processes. This can be achieved through verification and automation of the contact tracing process.
A motivating example is China's HealthCode solution.
Singapore context
Singapore intends to open it's economy phase by phase, starting with the essentials.
Solution outline
We propose a verification technique for building entry and a fast contact tracing solution.
Current measures
SafeEntry
helps to restrict and monitor access to areas. It is designed to be easy to deploy and collect citizen access behaviour. Verification process in SafeEntry is manual with no real-time verification.
Tracetogether
helps to track user-to-user interactions and generates a temporary ID for each device to preserve privacy while using bluetooth as a means of transferring data to reduce user data use. In the tracetogether app, A user is assigned a unique random ID by the app and collects data for contact tracing by turning on Bluetooth. Pseudoanonymous ID generated by the app protects user identity but there is no common basis for information sharing.
Below we show userflow of TraceTogether app.
Prototype explained
The code for Prototype is open sourced on Github. Please see
https://github.com/cuongquangnam/ContactTracing
DID simplifies information accessibility, standardise tracing, and satisfy user privacy demands.
Step 1
: Employer signs a JSON file containing workerDID and companyOwnerDID using the employer's private key and gives authorisation to the workerDID linked to the company
Step 2
: When the worker wants to enter the building for work, the authorization JSON file is showed and verified.
Step 3a
: If authorization fails, the app will prompt the access controller.
Step 3b
: If authorization succeeds, the app prompts that "Verified and Successfully entered".
Step 3c
: If the worker enters a building twice, the app prompts that "You have already entered the building".
Step 4
: We can conduct contact tracing quickly if the worker is infected by checking all entries to the building by time.
Next Steps
On the advice of the team that built GovTech's OpenCerts due to their blockchain experience, we suggest the next step to be to build a prototype with key features that impact user adoption such as an app.
We suggest looking into building a DID solution for a prototype roll out within a controlled environment such as Universities.
The current prototype simulates a DID, however we should implement one that follows the
w3c standard DID
.
Presentation materials
Slides for web viewing:
https://docs.google.com/presentation/d/e/2PACX-1vQdzXmBrDmqwhhYlHwMAxBK6KL0d1LO2GxVmUmg2P9UPM2Cbh99rsZsFmzkleNCoA/pub?start=false&loop=false&delayms=3000&slide=id.g804e2a6449_0_27
Try it out
github.com | VeriTrace: Streamlined contact tracing to reopen the economy | Building a verifiable data sharing system which is easily implementable but relatively trustless results in higher data quality, thus improving quarantine yield. | ['Qing Ze Hum', 'Tan Qi Zhong Eddrick', 'Cuong Truong Cong', 'Kang Choon Kiat', 'Shi Ying Tey'] | [] | [] | 41 |
10,017 | https://devpost.com/software/hdb-tenancy-renewal-app | Solution
System Verification Logic
Admin View Explanation
GIF
Admin View Interface Demo
Admin View Example
HDB Tenancy Renewal App :house:
A CRUD Flask App for digitizing the tenancy renewal declaration process, built with Python Flask, MongoDB and Google Tesseract
Description
Problem Statement
How might we design a
digital process
for tenancy renewal?
Considerations:
How to verify identity?
How to verify income?
Taking note that a number of tenants may not have CPF contributions
Accountability
How can we ensure the process remains as valid as with manual verification?
Proposed Solution
Solution
Demo
Scaling
Integrate income declaration form with HDB app to allow name, address and CPF to be extracted from relevant government databases
Allow fuzzy matching of name and income
Calculate expected CPF using CPF-approved formula
Integrate payslip database with auto-alert system to notify tenants on verification status
Built With
flask
mongodb
python
tesseract
Try it out
github.com | HDB Tenancy Renewal App | Digitizing the tenancy renewal process using OCR | ['jolene-lim Lim'] | [] | ['flask', 'mongodb', 'python', 'tesseract'] | 42 |
10,017 | https://devpost.com/software/shopaid-iwuj9h | See store suggestions based on your travel time, the collective intelligence of stock availability & crowd level. All on one page.
Help provide stock level information as you check off shopping list
Landing page
Inspiration
Shopping is a habit. You tend to go to the same store for the same things.
In-store stock level becomes more stable as Singapore's COVID situation improves.
Upon the reopening of the economy, queues are everywhere.
Queues bring uncertainty yet encourage more to join the lines.
The admiration of small businesses in Singapore that supports and create convenience to the local community.
What it does
ShopAid is on a mission to bring people back to the street smartly and sensibly, connecting shoppers to big and small businesses to explore an unparalleled shopping experience. It incentivises good behaviours of shoppers and stores that contribute to a better, strong economy as a collective.
ShopAid is an application to help you get essentials efficiently based on your travel time, and the collective intelligence of stock availability and crowd level.
You list the items required on ShopAid. This helps you plan well and avoid panic buying.
Based on your location, ShopAid shows the approximate stock availability of your items in all stores (big and small) nearby.
There’s also live information on how busy the stores are, and the travel time using different modes of transport.
You can decide which stores to go to based on these valuable insights, all on one page.
When you are checking off your shopping list in the store, you can provide stock and queue/crowd level information easily.
To recognise your contribution to the local community, when you provide stock and queue/crowd level information and/or shop at off-peak, you earn points and badges that can be exchanged into vouchers for freebies and discounts provided by the stores.
Stores are motivated to use ShopAid to indicate estimated queue time and stock level, as they earn opportunities to launch promotion to shoppers (e.g. new products, reduced to clear, etc.)
In the long term, we will continue contributing the local economies by encouraging people to shop responsibly and locally. We would also like to roll out the application in other sectors to suit their context, e.g. sourcing healthcare supply from manufacturers and general facilities management.
How we built it
We conducted several rounds of user survey and usability to validate our understanding of shoppers' needs.
Wireframe: Figma
Backend: Python framework Flask
Frontend: React.js
Database: PostgreSQL
Deployment: GitHub Pages, Docker
Accomplishments that we are proud of
We built our first iteration of MVP (GPS location detection, store listing, route calculation, shopping list, check-off and indicate approximate stock level).
What we learned
Good features: stock levels, prices, distance, crowd levels
Let-go features: taking photos, budgets, recipes
Motivation and benefits we can bring to the stores
Using Google Maps API can be expensive, but there are alternative ways to calculate travel time
What's next for ShopAid
In the next 2 months
Integrate the stock level information to our web app prototype for a combined view
Reach out to more stores and shoppers
Perform further app usability testing with shoppers
In 4 months
Connect with stores' inventory and POS systems
Built With
docker
figma
flask
github
google-places
postgresql
python
react
Try it out
www.figma.com
andreisukharev.github.io | ShopAid | Help you avoid the crowd, get essentials efficiently and locally to support big and small businesses | ['Monique Ho', 'Tana Kornchamraskul', 'Sally Huang', 'Andrei Sukharev', 'Yuriy Barlukov'] | [] | ['docker', 'figma', 'flask', 'github', 'google-places', 'postgresql', 'python', 'react'] | 43 |
10,017 | https://devpost.com/software/dormap-17sodk | Inspiration
Prior to the COVID - 19 outbreak, we have been visiting dormitories and engaging with them, for example, giving them handmade soap, teaching them how to play frisbee and learning how to play cricket with them. Unfortunately, we only heard of their living condition but was unable to see their room condition due to privacy reasons. Thus, it came as a shock when we saw all these problems such as a dirty corridor littered with leftover food and cramped living conditions. There is an alarming number of foreign workers living in dormitories who contracted the virus.
Why we did DorMap
We believe that the standard of dormitories can be maintained if the occupants can give anonymous feedback and the dormitory operators can look into it as they will receive timely feedback and reviews. We can encourage volunteers to participate post COVID-19 too. NGOs can have a coordinated effort to work with dormitories that need donations and volunteers.
What DorMap does
*
DorMap operates a website with user-generated content and allows comparison of dormitories. It shows location, vacancy, occupancy, facilities, reviews and ratings of the dormitories. It also offers voluntary opportunities and donation drives. *
How I built it
We build a prototype using Wix.
Challenges I ran into
We are unable to reach out to the migrant workers and the dormitory operators due to circuit breaker. We need feedback from them to know their views on DorMap. We can only come up with a prototype. We would like to know who can we approach in MOM regarding DorMap. We hope that the organizer of this hackathon will consider our idea despite our age.
Accomplishments that I'm proud of
We won an Impact Prize from Startup Weekend Singapore 2020.
What I learned
It takes a lot of perseverance and we will face rejection as we are underaged.
What's next for DorMap
We have already written to COVID-19 Migrant Support Coalition and waiting for their reply. We have applied to IMDA COVID-19 and Beyond Innovation for Social Good and pending outcome. We hope Govtech or relevant government agencies will build the website with our input. Our aim is to have it run and partner with dormitory operators, MOM, and NGOs.
Built With
wix | DorMap | A website with user-generated content that allows comparison of dormitories. It shows the location, vacancy, occupancy, facilities, reviews and ratings of the dormitories and voluntary opportunities. | ['Isabel LIM', 'Danielle Soh', 'Joash Soh'] | [] | ['wix'] | 44 |
10,017 | https://devpost.com/software/community-collaboration | There is a growing interest in enabling communities to cooperate among themselves to solve problems in times of crisis. This application helps volunteers to identify the areas where people are not receiving any help/resources. And people who need support can fill in their details or others can fill the form, when they identify people who are not receiving any help/resources
Built With
java
Try it out
cmg-beta-2.herokuapp.com | Community collaboration | An app to connect volunteers and people who are in need | ['Mukul Panchakarla'] | [] | ['java'] | 45 |
10,017 | https://devpost.com/software/hackcovid19-pv-pulmonary-ventilator-software-programming | Architecture & Systems Engineering - HACKCOVID19 (PV) Pulmonary Ventilator Software Programming
Overview - Programming Software PLC + HMI Low Cost
STEP 1: SYSTEM SELECTION - (PV) Pulmonary Ventilator - Programming Software - Diagrams
STEP 1: SYSTEM SELECTION - (PV) Pulmonary Ventilator - Programming Software - Diagrams
STEP 2A: SOLUTION-NEUTRAL FUNCTIONS
STEP 2B: FORMS
STEP 3A: ARCHITECTURAL DECISIONS
STEP 3C: ARCHITECTURAL DECISIONS
Inspiration to Save life
What it does It controls the Pulmonary Ventilator
How I built it by devices and parts currently available on the market, PLC, Controller of market, HMI of market. Possibility integrated PLC + HMI.
Challenges I ran into to search the correct devices and to build prototype faster possible to test and for approval
Accomplishments that I'm proud of by learning and knowledge is possible to build one equipment so important these days.
What I learned was important to start the prototype and programming the software so fast.
What's next for HACKCOVID19 (PV) Pulmonary Ventilator Software Programming
The idea here is to take the main controls as inspiration, expiration, mixer and alarm list of faults and monitoring sensors as well and to program easier and free basement with PLC or low cost controller – the design must be with parts currently available on the market – to develop one system, in diagram block. It is a medium (but preferably high) level of complexity – an open-source software.
Built With
hmi
ladder
plc
rockwell
siemens
three-way
tia
two-state
valve
wincc
Try it out
youtu.be | HACKCOVID19 (PV) Pulmonary Ventilator Software Programming | The idea here is to take the main controls as inspiration, expiration, mixer and alarm list of faults and monitoring sensors as well and to program easier and free basement with PLC low cost | ['Robson Alberis Soares da Silva'] | [] | ['hmi', 'ladder', 'plc', 'rockwell', 'siemens', 'three-way', 'tia', 'two-state', 'valve', 'wincc'] | 46 |
10,017 | https://devpost.com/software/papure-2tpv60 | paPURE Setup - Angeled View - Utilizing Snorkeling Mask
paPURE Setup - Front View - Utilizing Snorkeling Mask
paPURE Setup - Side View - Utilizing Snorkeling Mask
paPURE Setup - Back View - Utilizing Snorkeling Mask
Original Prototype of paPURE Design View
paPURE Base - Top View - Inserted Compressor Fan and Fan Shroud
paPURE Base - Top View - Empty
Abstract:
The Filtrexa paPURE is an affordable, 3D printed powered air-purifying respirator (PAPR) that provides our healthcare providers with better protection than even N95s, especially in high-risk and confined environments (E.g. ICUs, ERs). It incorporates readily available components and can be easily manufactured locally. We can thus increase accessibility of PAPR technology by enabling hospitals to produce and purchase it as per their need, optimizing the 3D-print to produce it at a cost that is over ten times cheaper than PAPRs currently offered on the market, and using exchanging highly specific components for readily available and affordable components. The Filtrexa paPURE also has made design changes to improve comfort, ease of use, and longevity of PAPR technology.
Introduction
One of the most immediate and impactful effects of the COVID-19 pandemic are global shortages of proper personal protective equipment (PPE), forcing healthcare providers (HCPs) to consistently work in high-risk environments and unnecessarily place their own lives at risk. Our product is a powered air-purifying respirator (PAPR) that creates a positive pressure field with filtered air to protect frontline healthcare workers from airborne threats such as SARS, TB, measles, influenza, meningitis, and most immediately COVID-19. This technology improves upon current PAPR devices in terms of cost-efficacy, ease of access, and ease of implementability. Our solution not only serves to combat general PAPR shortages across the country, but also eases PPE shortages that arise from COVID-19 and future patient surges through an on-demand 3D printing process.
Value Proposition
Powered, air-purifying respirators (PAPRs) are currently the gold standard in medicine when treating patients diagnosed with COVID-19 and other highly infectious respiratory diseases[1] due to their positive pressure system. This system filters air extremely effectively before it reaches the airway. However, this technology package is costly, often totaling over $1800[2] and requires highly specific components which are currently in short supply. Both well-established hospitals such as the Mayo Clinic (with a ratio of 4500 physicians to 200 PAPRs)[2] and smaller county hospitals such as the Hunterdon Medical Center (where not a single PAPR is available to physicians) are facing critical shortages of personal protective equipment (PPE). Evidently, the aforementioned barriers render PAPR technology inaccessible to most frontline HCPs, leaving them far more vulnerable to infection.
Alternatives to PAPR technology include N95s, surgical masks, and currently, homemade masks due to a worldwide shortage of PPE. Although they provide a barrier against aerosols, standard and surgical N95s are easily compromised with an improper fit and have an assigned protection factor (APF) of ten[4], while PAPRs have an APF of 25 to 1000, rendering PAPRs far more effective at protecting HCPs. Additionally, physicians tend to prefer PAPRs over N95s because PAPRs are reusable, easier to breathe through, do not require fit testing, and make them feel safer[1][5].
Our Solution
In order to provide purified air to those in the most high-risk environments, we have developed a novel, inexpensive, and accessible PAPR device that is both lightweight and 3D-printable within 24 hours. Printed using readily-available filaments (e.g. PLA, ABS), paPURE is mounted to the user’s hip and assembled via on-hand motors and batteries. (See Appendix 2.5).
Through PAPR technology, HCPs are given access to filtered positive pressure air systems (in which airflow serves to seal any gaps in masks, as well as reduce respiratory fatigue in HCPs), drastically decreasing infection risk in areas such as ICUs and ERs.
Our device’s customizability allows for interoperability with existing masks, filters, and hosing (See Appendix 3.1), enabling hospitals, or possibly surrounding hobbyists/machinists (regulatory dependent), to produce PAPRs for their physicians and nurses. For images and procedures: See Appendix 1 and 2.
The system features a dual battery set-up that allows HCPs to utilize one or both batteries independently, as well as swap out batteries while the device is in use (such as during an extended patient procedure that a physician cannot leave from). Additionally the belt system, with the fan/chassis on you lumbar and 2 battery on ports on both hips gives a better weight distribution for improved comfort in extended usages (such as a surgeon leaning in an awkward position during the operation). The use of an inline filter means that air is pushed into a filter at the end of the device, as opposed to regular PAPRs that pull air through filters. This setup means that the risk of an imperfect seal compromising air quality is virtually nullified as no negative pressure system exists after air filtration in our device. Additionally, the aforementioned inline filters are better at filtering biological particles without disturbing airflow than standard P100s and are already used extensively in anesthesiology and respiratory care departments of hospitals across the country.
After printing the device’s chassis and shroud, integration with an inline bacterial/viral filter, housing, and masks will be followed by on-site fit and efficacy testing to ensure proper device assembly.[6] Then, an HCP would don their mask, clipping the paPURE chassis and two smart power tool batteries to a provided utility belt, and connecting to the mask via a hose. At most, we expect equipping paPURE to add 1-3 minutes to a medical professional’s routine and greatly improve safety and comfort.
An Improvement from Traditional PAPRs
Our technology eliminates the need for a middle-man manufacturer. Because the only required components are readily available to hospitals and clinics, hospitals can produce the device as per their need. We anticipate working with local 3D-printing facilities to produce and assemble the product, then to distribute the Filtrexa PAPR to hospitals. Physicians and NIOSH officials (most notably Richard Metzler, the first Director of the National Personal Protective Technology Laboratory at NIOSH), have already given us promising feedback regarding the need for this technology, and we are looking into potential partnerships with PPE developers and/or motor manufacturers. Some hospital purchasing experts have additionally communicated a need for affordable PAPRs. Our solution is over 10 times cheaper than current PAPR technologies ($155; see Appendix 2, Figure 2), increasing likelihood of adoption. To allow smaller hospitals to easily obtain our technology, we plan to raise awareness of our business through phone calls and emails to hospitals throughout the country.
Implementation Plan
paPURE’s solution is implementable almost immediately. The main barrier between our tested prototype and implementation is FDA/NIOSH approval (FDA EUA Sec II/IV Approve NIOSH Certified Respirators). We have also identified conditions that will allow us to expedite the regulation and roll-out of the production (such as the IDE and 501(k) pathways suggested to us by regulatory experts).[15] Because our device is based on existing PAPR technology, this predicate nature in combination with existing precedents for 3D-printed medical technology, can help expedite its deployment.[16]
Our technology minimizes the need for a middle-men. We are partnering with regional additive manufacturers to allow for quick, standardized, yet still decentralized production of the device. The only required components are readily available to hospitals and clinics, allowing HCPs to produce the device as per their need. Additionally, if regulatory approval permits, we may utilize local schools/universities/hospitals with on-site 3D printers in order to allow for fully decentralized manufacturing. After NIOSH Approval, our device (and depending on regulatory guidelines, possibly our CAD file) will be sent to those with 3D printers available, who could print and assemble the device (See Appendix 3.1).
Players involved in the production of this technology would be hospital assembly workers, but the design is easily assembled by anyone (the only limitation being that assembly be done under a fume hood to prevent contamination). Physicians we’ve already talked to have given us promising feedback regarding the need for this technology. We are currently looking into potential partnerships with PPE developers (See Appendix 3.2) and/or motor manufacturers. Our solution is over ten times cheaper than current PAPR technologies (See Appendix 3.3), increasing the likelihood of adoption.
Due especially to the length of this health crisis, hospitals are facing dire shortages of PPE. This has accelerated our timeline, but we are confident that it is feasible given the current state of emergency (See Appendix 3.4).
Since this product has yet to be implemented in hospitals, we are writing to you today to gauge your interest in paPURE. Additionally, any feedback you have relating to our product or interest in helping us with laboratory testing of paPURE would be greatly appreciated.
We anticipate our project to reach full fruition within 6-12 months. Our timeline is as follows. Our second iteration of prototyping for clinician testing will conclude in 2-3 weeks, followed by initial clinical testing, which will finish in around 1.5 months. As soon as clinical testing is finished and the product is validated, we will submit our product officially to NIOSH for regulatory approval. We anticipate receipt of regulatory approval within 1.5 months from submission. After approval is obtained, we will also apply for either a provisional patent or copyright, depending on legal advice. Within 1-2 months after regulatory approval, we plan to roll out our product to hospitals via centralized 3D-printing. During the next 1-2 months, we will continue to iterate and optimize the product. Official hospital rollout, with multiple 3D-printing partners and company partnerships, will occur around a month later. This will be around 6-7 months from now. As seen, our timeline is aggressive as we wish to equip healthcare providers with PPE as soon as possible. The prior goals mentioned in our timeline are our key goals and objectives for the project at this time.
Current Testing and Partnerships
Technical Testing is being carried out at Filrexa's primary residence and at Johns Hopkins University and includes analysis of airflow data, battery life, and filtration efficacy. For clinical testing, we already have established connections for clinical testing with both Johns Hopkins Medical Institute and Stanford University. In regards to business-focused assistance, we have also partnered with FastForwardU for advising regarding intellectual property protection, strategic marketing, and clinical networking.
Planned Partnerships
We plan to designate one 3D-printing company (current candidates include Xometry, Protolabs, Cowtown, and Health3D) as our manufacturer during our initial launch into the market, but will continue to partner with additional 3D-printing companies as our business grows. Due to our unique manufacturing approach, all hospitals, regardless of their size, will be able to order and quickly receive PAPRs, lowering the impact of the current shortage. In order to supply the auxiliary materials such as motors, batteries, and more, we plan to initiate company partnerships with large corporations such as 3M, Dyson, Black and Decker, GE, Cuisinart, Hitachi, Makita, Shop Vac, Hoover, Bissell, Shark, iRobot, and Bosch.
Additional Video
https://youtu.be/iFMtzt52BEQ
Appendix and Citations
Click here!
Website
paPURE Website
Built With
3dprinting
cad
cpap
p100 | paPURE | paPURE is a hospital accessible PAPR Technology utilizing 3D printing and readily available hardware to give healthcare's frontline the gold standard of personal protective equipment right now. | ['Sanjana Pesari', 'Hannah Yamagata', 'Sneha Batheja', 'Joshua Devier'] | ['2nd Place Overall Winners', '1st Place', 'The Wolfram Award', 'The Best Business Idea', '3rd Place Hack', 'Best COVID-19 Hack'] | ['3dprinting', 'cad', 'cpap', 'p100'] | 47 |
10,017 | https://devpost.com/software/smart-ventilators-pq2nwa | Side View Of the final Ventilator Attachment assembly in FUSION 360
Side View Of the final Ventilator Attachment assembly in FUSION 360
Top View Of the final Ventilator Attachment assembly in FUSION 360
Isometric View Of the final Ventilator Attachment assembly in FUSION 360
Isometric view Of the final Ventilator Attachment assembly in FUSION 360
Back View Of the final Ventilator Attachment assembly in FUSION 360
this is the actual 4T arrangement sitting inside the model
Valve with inlet and outlet pipe
Inspiration
As we know the world needs a helping hand in this difficult time period and ventilator shortage is a really big issue across globe. I come from India where we have only 20,000 ventilators for 1.3 billion population which is almost 1 ventilator for every 65,000 people. This condition inspired me to do something for the humanity, since i am doing mechanical engineering I targeted mechanical ventilators and tried to increase its efficiency to the fullest
What it does
I have made and special attachment which can be attached to any ventilator. this attachment is nothing just a simple 4T pipe splitting into 4 at the end which can be attached to the outlet of ventilator to use a single ventilator for multiple patient. Now the hack is that I have attached an unidirectional flow control valve at the ends of these junction this allows us to control pressure in each pipe an also stops cross contamination which enables it to be used in any situation irrespective of the type of patient we have
Also all these flow control valves are connected to micro controller which is further connected to an APP which enables a single doctor to regulate many ventilators and much more patients just through a tap of a button in the app
How I built it
I used Autodesk Fusion 360 to design the 4T pipe and the flow control valve and used the same software for the assembly of the same (4T pipe and unidirectional flow control vale )
Further I have Made and entire assembly which exactly reflects how the real world attachment will look like
I did flow simulations on ANSYS and used ANSYS Fluent tool for taking out computational fluid dynamics of the flow and taking out different pressures and calibrations to achieve a viable scale for the APP
IOT part is done on Arduino micro controller and IOT modules like Node MCU etc for the control of these valve
Making an APP for this setup so that the doctor can control all of them through an APP
Challenges I ran into
TO find appropriate pressure stats for an ventilator and developing perfect calculations for the pressure calculations
Since I am a mechanical engineer so i don't have much knowledge of these IOT although i have made a simple IOT model in Proteus but i wasn't able to make a very good code for the same
The biggest challenge with which i am still struggling is to build the APP due to no knowledge of the APP i am searching for someone who can help me in coding aspects of IOT and building APP part for the project
What I learned
A lot more about fluid dynamics, building equations and getting results out of iy. Tackling new challenges like methods of stopping cross contamination without any additional part . Generating an ideas so that it can meet every aspect like cost, application, etc
What's next for Smart Ventilators
Trying to build a really good APP for it and refining codes for IOT part so as to make the system more and more effective and easy to use
Built With
autodesk-fusion-360
cfd
iot | Smart Ventilators | The idea is to optimize a single ventilator multiple patient system and reduce the need of ventilator assistance doctors by providing an app to control these valve from anywhere any time | ['Akash Pandey'] | ['Wolfram Honorable Mention'] | ['autodesk-fusion-360', 'cfd', 'iot'] | 48 |
10,017 | https://devpost.com/software/covifight | Inspiration
The virus has affected humanity in various ways, be it our economy, our freedom of movement, and the loss of loved ones. Then how do we live on, comfortably, and safely with this virus around?
Even after the lockdown is over, there is a massive possibility that traces of the virus will remain, and it can spread again.
We wanted to bring people back their mobility and keep them safe at the same time. We wanted people to know about their status while they leave their houses.
What it does
CoviFight is not just a contact tracing application. It is a 3-tier solution which:-
• By using Machine Learning and Social Networking analysis, CoviFight alerts the users the risks of catching the virus if they have come in contact with an infected person within the past three weeks.
• Identifies the public place or the transport mode, be it a bus, a metro, or a McDonald's restaurant, that needs sterilisation.
No other application in the world is capable of doing so.
• It informs the medical system accurately about the spread of infection. The medical system rather than individuals handle data, and authenticity is maintained.
• It generates a map with hotspots for what places have virus traces so that people can prevent travelling at these places and authorities can sterilise or lockdown these places efficiently rather than having a complete lockdown of a country.
• CoviFight does not even need to compare data between people, thus making computation very cheap and exponentially faster and efficient.
If Contact tracing apps already exist:
Even if you have a contact tracing application launched in a region, our second and third-tier may supplement the existing application. These tiers may add to the architectural ecosystem of the app without modifying the app at all.
It creates a supplementary layer of the architecture of the existing contact tracing apps and creates an ecosystem. We create an environment where devices connect independently and irrespective of their running OS and the contact tracing app installed.
All our apps can seamlessly integrate with any existing app's architecture. Our apps are capable of detecting and communicating with other apps like Aarogya Setu and COVIDSafe. The flexible nature of CoviFight provides the user with a choice of selection. The dynamic nature of our product gives the users a choice to use our app with or without GPS tracking.
Currently, the global market is saturated with many products claiming efficient contact tracing, but not a single app in the industry is capable of detecting aggregation points. Our architecture is developed to flexibly integrate with the existing system created and adopted by the government.
Apple and Google Guidelines:
Tracking of aggregation points( stores and public transport) is a difficult task to perform. Tracking people who have access them is also a challenging task. Before it was feasible, though very complicated and requiring complex computation, these were feasible by geo-location and time stamping. But the recent guidelines issued by Google and Apple prohibit the use of these techniques, making indirect contact tracing infeasible. The fantastic thing is,
our three-tier solution allows us to do so even while following the concerned guidelines.
How we built it
We develop a three-tier app:
• A user's app
• A provider's app
• An official's portal.
Privacy:
While utilizing Bluetooth of your phone, CoviFight makes sure that the confidentiality and privacy of every individual are secured and can not be compromised. Data is encrypted using a secret key, and no one can view it without your permission. It only traces the past data of positively tested patients. This way, CoviFight also meets the
GDPR compliance.
Hence, we have made sure that the privacy of every individual is maintained and can not be compromised.
The encryption algorithms meet the standards of the leading social networking apps existing in the market.
Provider's app:
A provider's app for aggregation points like shops, restaurants and public transport synchronizes with the nearby user app. This interface is the key to the detection of infection points, be it a stationary workplace or a moving vehicle. If a restaurant installed CoviFight and had an infected customer in the past 15 days, all the customers after the positive tested patient would get alerted, and hence the restaurant can be sterilized.
Official's Portal/ Doc App:
Only the medical system may update a person's status over the official's portal, and the authenticity of the app is maintained, hence
preventing false positives
or self-reporting, which might lead to falsification of records. No one else can manipulate the data.
Hence, people can move around while being alerted about their status. They can stay away from the virus, and be free from the worry of their privacy maintenance at the same time.
Challenges we ran into
To maintain the authenticity of the predictions and analysis, we were initially in a fix as to how to update a person's status as positive or negative. Then we decided to come up with a three-tier system, and we developed a Doc App or official's portal, which is only accessed by the medical system so that the authenticity is maintained.
No one else can manipulate the data.
Accomplishments that we're proud of
• We have made sure that the
privacy
of every individual is maintained and can not be compromised. The encryption algorithms meet the standards of the leading social networking apps existing in the market.
• CoviFight not only alerts people about their own risks but provides heatmaps of the traces of the virus too. CoviFight also shows what
specific restaurant or public transport( like a bus or a train) may be infected
precisely.
• We do not need to compare data between people, thus making
computation very cheap and exponentially faster and efficient.
Our Journey So Far
•
Winners( Runner up) in the #EUvsVirus, a Pan-European Hackathon
Organised by the European Innovation Council to counter COVID-19 pandemic with more than 9k participants and 2000 teams. We stood second in the Real time Communication and Prevention challenge.
•
Top 6 finalists of The Global Hack, by Garage48, April 2020
The Global Hack is a hackathon designed to share and rapidly develop ideas for urgently needed solutions in the face of the COVID-19 crisis, and to build resilience post-pandemic, with over 12k participants from 100+ countries. The team developed a mobile application solution for the containment and tracking of this virus. We were in the top 6 teams in the Crisis Response Track.
•
Top 23 Student Innovators in COVID-19 SAMADHAN MHRD( Ministry of Human Resource Development, India) Mega Online Challenge
What we learned
It has been an enjoyable experience to work with people who have not even met each other before and still successfully develop this amazing app. We learned a lot through the hackathon, from interacting with the mentors and getting their guidance, to develop the app.
What's next for CoviFight
We plan
to get this deployed
at its earliest so that people may get their
safe mobility
back. We plan to deploy this on the Play Store and make a version for iOS as soon as we can.
We are also in touch with the Indian Government and we might be able to save lives in India also.
The necessities to continue the project:
• Approval from government authorities to implement and track data.
• Participation from Hospitals/government bodies to update the status of a patient so that system can generate realtime alerts and mark hotspots.
• Cloud resources to scale up the project. Currently limited by the free tier of cloud infrastructure.
The value of our solution after the crisis:
• This application can be used for any contagious disease management.
• It can be used in disaster management to understand the right victims and relief reaches all rightful beneficiaries( such as in the case of floods and storms).
• It can be used by Providers such as McDonald's and Public transport systems to implement targeted location-based marketing complying with data collection practices.
What we have done during the weekend
• Implemented masked identities for users to comply with GDPR and privacy requirements.
• Identification of hotspots in realtime based on the patient status update.
• Fixed bugs in the flow and to make it work E2E.
• Produced a product demo.
Built With
android-studio
blockchain
bluetooth
dockers
firebase
google-directions
graphdatabase
har
ios
java
kubernetes
machine-learning
maps
neo4j
node.js
python
Try it out
github.com
sidhantha.medium.com | CoviFight | CoviFight showcases how the integration of Bluetooth with Social Networking Analysis makes contact tracing highly effective and the world can come to a working state of normalcy as early as possible. | ['Devesh Todarwal', 'MANIT BASER', 'Sidhantha Poddar', 'Anshuman Saboo', 'Yash Bhagat', 'Neil araujo', 'Shikhar Mathur', 'vishwas puri', 'Tirth Jain', 'sarthak-choudhary', 'Navdeep Chawla', 'Mudit Shivendra', 'Trinadh K N', 'Mehul Jain'] | ['Challenge Winner'] | ['android-studio', 'blockchain', 'bluetooth', 'dockers', 'firebase', 'google-directions', 'graphdatabase', 'har', 'ios', 'java', 'kubernetes', 'machine-learning', 'maps', 'neo4j', 'node.js', 'python'] | 49 |
10,017 | https://devpost.com/software/covid19-tracing | All you need for travel planning and assessment
Inspiration
Tourists entering any country are facing the same issue, which is necessary to have travel planning such as prepare physical documents like itineraries, travel insurance and country navigation etc
What it does / Your solution and what it does ?
Business Case: This application serves as a digitalized paltform for integrating travel and health needs of tourists
Step 1: Tourists check in to the application with an automated scheduling itinerary plan by our AI bot, Alvis.
Step 2: The itinerary and travel plans get updated with suggestions like new places and local food / accomodation recommendations. The system will also monitor your health and travel plans by providing notifications and diagnostics
Step 3: The user would have their itinerary updated and advised with new itinerary plans
Step 4: The user could form travel communities using the application for tips on travelling safely
travel-alvis is an AI powered digital check in solution for tourists , which enhances their travel experience by replacing physical touch with elegant diagnostics and contactless checkpoints for post COVID-19 with AR experiences
The travel problem your project solves, including TravelScrum challenge(s)
Travel: Enhancing travel experiences through immersive AR
Health and Safety: Algorithmic analysis of user health
Business Impact
: This application would be useful in creating health safety measures for tourists travelling in post COVID-19. The application offers responses and right steps to take through our features
1) AI-powered itinerary system assistant
2) echoAR modelling of travel attractions
2) Chat support
The application serves as a digitalized and contactless delivery of travel whereby users are more connected and feel safe in response to preparing for post COVID-19
Upon opening of economy, more tourists would be encouraged to take up travel commitments by better insuring their travel. Each user would have their travel insurance tracked in our system
Originality
: Yes, we are one of the few with travel and wellness elements, all in one application !
How I built it
The application was built using Bootstrap 4 framework, echoAR, google firebase, google cloud
Challenges I ran into
The integration of different technologies to make an application fully functional was challenging. I had overcame it through mentor discussion and help from T/S community
Accomplishments that I'm proud of
The new implementation of AR elements for travel and health purposes is a new concept and implementation which I am proud of
What I learned
I learned about new technology providers such as airline content technologies and immersive technologies like echoAR
What's next for travel-alvis
The application would be further scaled as a travel and health community for tourists to find suitable accommodation or hospitals and enable better tracking of patients' well being.
Revenue model would be used as pay per use model, which allows users to customize their travel needs
Tourists coming in to any country could check in to this application for quick diagnostics for free
Built With
echo-ar
firebase
glide
google
google-cloud
ml
uipath
Try it out
travel-alvis.glideapp.io | travel-alvis | An AI powered digital itinerary solution for tourists by providing customized travel plans in response to post COVID-19 using enhanced AR experiences | ['Xuan Wei'] | [] | ['echo-ar', 'firebase', 'glide', 'google', 'google-cloud', 'ml', 'uipath'] | 50 |
10,017 | https://devpost.com/software/handsfree-basin | Inspiration
This is pandemic condition. Be a part of mission against a coronavirus
What it does
It will be used in public spaces or slum areas or army/medical camps. Also, useful for isolated people
How I built it
Using arduino, hardware components and sensors, etc and coding
Challenges I ran into
Lack of components or accessories
Accomplishments that I'm proud of
Really helpful
What I learned
Proud to be an Indian, use my knowledge for Nation
What's next for Handsfree basin
Helping others..
Built With
knob
machine-learning
mechanical-parts-like-spring
pedal
Try it out
drive.google.com
github.com | Defender (Handsfree basin and Corona Rakshak) | Restricted the transmission of Coronavirus from infected person to healthy person through surface. | [] | [] | ['knob', 'machine-learning', 'mechanical-parts-like-spring', 'pedal'] | 51 |
10,017 | https://devpost.com/software/respons-ablesg-a-fuse-system-after-the-circuit-breaker | Inspiration
It was during a random jog. Heart rate and pace data is easily available and it allowed me to set a goal and do better. I thought the same approach towards an awareness and understanding of our safe distancing norms could help.
What it does
There is potential for a scoring system to be implemented so that we are more targeted with our measures and resources, (2) we are able to engender collective responsibility, and (3) move ahead of the infection curve with the possibility of targeting asymptomatic patients. Introduced a Respons-ableSG (R-SG) score that stays on the user's phone and updates offline. Introduced an idea on "probability contagion" where a new contact affects the user's score base on their own past exposure. Developed and simulated an approach to operationalise the relationship between the risk of infection and the economy.
How I built it
The minimum viable product has two web apps written as a proof-of-concept for an operationalisation of the scoring system and the optimisation in selection of firms that can maintain a certain national epidemic threshold. Subsequently, the agent-based model creates an incomplete market model and solves for the general equilibrium by iterating in the asset and labour cartesian space.
Challenges I ran into
There were quite a few. A couple of key ones are about (1) building the system to integrate with the existing GovTech apps which would not be possible without access to source codes, and (2) trying to get firm-level data on the economic production values pre-COVID-19 vis-a-vis now.
What I learned
The fight against COVID-19 is a whole-of-society effort. Shifts in the perceived risks of COVID-19 can impact the economy significantly.
What's next for Respons-ableSG: A Fuse System after the Circuit Breaker
Apart from what was written in the deck, it will help to work with a team of like-minded individuals! Regardless of the eventual strategy, I hope more people will get involved and that the load can be shared to test and develop response plans!
Built With
python | Respons-ableSG: A Fuse System after the Circuit Breaker | Shape and Model Individual Dynamics and Interactions with the Economy | [] | [] | ['python'] | 52 |
10,017 | https://devpost.com/software/safeentry-api | Inspiration
I am working on an integrated kiosk for a hotel in town, who approached me asking if I could think of a solution to automate the check-in and check-out of patrons from their premises. They require all patrons to be screened for fever, and to ensure that they have their SafeEntry Passes. The reason they want to automate this, is because they want to minimize close contact between their staff and patrons, so as to mitigate the risk of COVID-19 spreading. Seeing how concerned they were for their staff's safety, I began to realize how much occupational hazard is involved in screening temperatures, even at supermarkets!
What it does
As such, my solution isn't an application, but is actually a perfective maintenance proposal to enhance the completeness of SafeEntry. My proposal is to implement a REST API to allow SafeEntry to integrate with other solutions in checking and enforcing that SafeEntry Passes used are valid. In order to do so, every SafeEntry Check-in and Check-Out should be tied to a unique transaction key, and displayed as a QR code on the SafeEntry pass. It's a small API, but SafeEntry API will make a world of difference.
How I built it
I wrote a really awesome powerpoint slide that is going send GovTech developers back to develop this within less than a day. Unfortunately I can't build it without having access to the database tables running SafeEntry. Given the amount of sensitive information in it, I believe this API will be implemented internally by their own team.
Challenges I ran into
Working on very little sleep.
Accomplishments that I'm proud of
Having actual businesses that have registered interest for such a solution.
What I learned
Our government is amazing, they care for our country so much that they have opened up to taking suggestions from the public, in the name of enhancing the lives of our citizens.
What's next for SafeEntry API
Built With
api
get
http
rest | SafeEntry API | Protecting the integrity of SafeEntry Passes while encouraging adoption from businesses and users alike. | ['cheeselump Choo'] | [] | ['api', 'get', 'http', 'rest'] | 53 |
10,017 | https://devpost.com/software/goodhood-sg | Inspiration
everyone here.
What it does
connect neighbours in a safe and secure way.
What's next for GoodHood.SG
iterating based on user feedback.
Built With
tenderlovingcare
Try it out
goodhood.sg | GoodHood.SG | Hyperlocal social network - connecting verified neighbours to bless & be blessed. | ['Nigel Teo'] | [] | ['tenderlovingcare'] | 54 |
10,017 | https://devpost.com/software/hdb-lease-renewal-digital | Information required
Status Page
Submission Page
To improve the application process for the HDB Flat Lease Renewal based on the Zoom webinar on 12 May 2020 given by Johnson Lim from HDB (
https://www.youtube.com/watch?v=tHrRyLULWAc
)
Built With
formsg | HDB Lease Renewal (Digital) | Digitising the HDB Lease Renewal Process which is currently onsite and paper based. | [] | [] | ['formsg'] | 55 |
10,017 | https://devpost.com/software/contact-tracing-through-cell-phone-tower | Contact-Trace through Cell Phone Tower
Why use Cell-Phone?
Use Big Data to Contact Trace.
A Simple Simulation.
A Simple Simulation.
Trace Particles in Simple Simulation.
Potentials of using Cell-Tower data.
Compliment to Existing Systems.
What needs to be established.
Why cell towers?
Singapore penetration rate is one of the highest in the world (>150%).
Ride on existing infrastructure.
a. No public data on number of cell stations in SG.
b. From local news, 3000 cell stations are required by new teleco TPG to achieve island-wide coverage.
c. From open-source cell information, there could be 50,000 cell stations in SG (across different operators).
d. Accuracy of cell tower to determine position could be vary from 300m.
Using Big Data to Contact Trace.
Cell tower records provide coarse grid location that maps human mobility over time. Associations could be established between unlinked COVID-19 cases where patients who were unknown to each other could have been in the same geographic and time space during their incubation period. This provides meaningful a prior investigation clue to contact tracers so that their interviews with patients could be more targeted. It can also provide early warning to contract tracers should a particular grid location has recorded significant increased visits by COVID-19 patients across time or derive missing links to deduce the presence of asymptotic carriers.
In summary, big data could help
a. Increase Efficiency - Determine mobility of COVID19 patient over past 14 days prior to conducting interview.
b. Link unknowns – Connect known COVID19 cases by across geo-spatial and time slices. Helpful in cases where patients do not know each other.
c. Early detection of potential clusters.
d. Determine presence of asymptotic carriers.
Compliment to existing solutions.
Cell-phone tower records can be integrated to form a more comprehensive and coherent movement picture of individuals to facilitate contact tracing.
a. TraceTogether
Runs on Android and iOS.
Feature-phones used by foreign workers or elderly are not supported.
10% of population could be running older versions of Android.
Resistance of citizens to use applications due power consumption issues.
b. SafeEntry
Difficult to implement for areas without enclosed borders (e.g. hawker center, neighbourhood center, parks).
What needs to be established.
Understand Operational Constraint.
a. Does operators keep base station connection records?
b. Can operators access remotely to retrieve logs from base station daily?
c. Privacy requirements from Personal Data Protection Act?
Could we data scramble both user identity and location at respective operator backend to circumvent PDPA?
Establish Technical Challenges.
a. What is the location accuracy at different locations in SG?
b. Will associating records with GIS transport layers, factoring travel speed, improve localization accuracy?
c. What is the data architecture to perform big-data mining supporting geo-spatial analysis? 6 trillion data points for 1-minute location update on 5M cell-phones over 14 days.
Built With
mysql
python | Contact tracing using cell tower records. | Exploit big-data from available teleco infrastructure to derive useful insights and connections for contact tracers. | ['Boon Wah Lim'] | [] | ['mysql', 'python'] | 56 |
10,017 | https://devpost.com/software/spark-k6txdh | Inspiration
- Needed a place to track and plan our projects.
- Frustrated over apps that are specialized to do only one thing resulting in having to keep many tabs/apps open at the same time.
- Saw a need for an all-in-one productivity app.
- Believed it had the potential to increase the productivity of those affected by COVID-19.
What it does
- Features: Calendar, Tasks, Team Administration, Project Tracking, Messages, Meetings and Zoom Integration, Discussion Board
- A cumulative productivity app that puts all the apps you need into one
- Assists teams and organizations by improving productivity and tracking the progress of projects
- Highlights team collaboration with SparkRooms to coordinate team members
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
- Git, VSCode Live Share, and Discord
Challenges we ran into
- Responsiveness & Mobile compatibility
- Rendering iframes on the dashboard
- Saving arbitrary user data within Firestore
- Git collisions: Committing changes to the same lines at the same time
Accomplishments that we're proud of
- Firebase for hosting, database, and authentication
- Fully functional login system with Google Oauth 2.0 Authentication
- Dashboard to render iframes to show lots of content in a single page
- Travis CI/CD
- Lots of backend and Javascript to process website
What's next for Spark
- Expand Spark for function enterprise and educational usage
- Increase responsiveness of site to enable mobile usage
- Create a way to send personal messages to team members
- Create more tools for users eg. a personal File Storage Method
Built With
bootstrap
css3
flask
fullcalendar
google-cloud
html5
javascript
jquery
node.js
python
travis-ci
Try it out
sparkapp.cf
github.com
docs.google.com | Spark | An intuitive and empowering all-in-one productivity application. | ['Raadwan Masum', 'Rohan Juneja', 'Safin Singh', 'Aadit Gupta'] | ['Wolfram Honorable Mention', 'Track Winner: Work & Economy'] | ['bootstrap', 'css3', 'flask', 'fullcalendar', 'google-cloud', 'html5', 'javascript', 'jquery', 'node.js', 'python', 'travis-ci'] | 57 |
10,017 | https://devpost.com/software/virtual-queue-management | Executive Summary
Scaling up is hard. Scaling up in a pandemic while the economy slowly tanks is even harder. We propose that the Government partner the private sector by allowing private companies to share data with them for contact tracing. The benefits are 1) Rapid scale up of contract tracing systems and 2) thereby reopening a large portion of the economy at a faster rate. In practice this would mean the Government has to define what data to collect (verified mobile numbers, email addresses, etc) and develop APIs (Application Programming Interfaces) to collect contact tracing data.
Private sector players operating booking, reservations and virtual queuing systems could easily integrate contact tracing into their network of customers (businesses) and pass the necessary data onto the Government. In addition, their system could increase social distancing by eliminating queues in front of establishments.
Introduction
Without a vaccine, social distancing and quarantining are the only ways to minimise the spread of COVID 19 in an effective manner. A key pillar of this strategy is an extremely extensive yet fine grain contact tracing program that can quickly find the people in close proximity to the infected and test them. The operative keywords are extremely extensive and fine grain.
In the context of F&B as an example, this would mean having each and every stall and restaurant report the people entering the premises and where they sit. The obvious solution is to use SafeEntry to log all people who enter. This is certainly a step in the right direction but more can be gained by working with the private sector to enrich the data that is obtained. For example, the reservation system used by restaurants often collects seating arrangements of parties. This could rapidly trace people in an infection cluster like the one in this
article
where COVID 19 spread across neighbouring tables.
Implementing Public/private Partnerships
Creating an API (application programming interface) integration with SafeEntry allows private sector companies to share data with the Government for contract tracing purposes speedly and at scale. Going back to F&B as an example, a virtual queuing system could easily collect the necessary contact tracing data and share it with the Government.
This has a number of advantages
The Government could easily request additional data from the company if the request is warranted. In the case of a cluster at a restaurant, all patrons and the tables they sat at could be shared.
The Government could rapidly scale out the use of SafeEntry by tapping into the network of businesses that the private sector companies already partner with.
The Government would not have to deal with customer support surrounding the implementation of SafeEntry. A small fraction of the millions of SMEs having troubles with SafeEntry would translate into a substantial number of requests for help.
For businesses this would represent a much smaller disruption to their operations since the original tech solution is already a part of their workflow and SafeEntry is just an add on. Imagine a restaurant having to check a queue ticket and enforce SafeEntry registration vs. just doing SafeEntry registration as part of the queuing process.
Businesses could reduce the operational personpower required for crowd management, potentially to a single greeter at the entrance. This could further reduce the potential spread via the queuing workflow.
The customer would have a much better experience by having to go through a single registration process rather than 2 separate ones.
Finally, allowing contact tracing systems like these to keep businesses safely open would be a huge boost to the economy.
Social Distancing
The private sector already has systems in place to manage the influx of customers. Booking and virtual queuing systems could easily be used to manage the density of people within establishments without them having to physically queue up outside; thus creating a bottleneck that could result in an infection cluster. Both private sector systems as well as public sector contract tracing (SafeEntry) systems could exist in parallel but integrating them together or even just connecting the data in some way would vastly increase its usefulness in containing this pandemic.
Disadvantages
There are unfortunately downsides to such a partnership between the private and public. The elephant in the room being the loss of privacy such a massive aggregation of data would entail. To some extent these issues can be mitigated by limiting the kinds of data collected to information already collected by the company, e.g. verified phone numbers or emails vs. NRIC numbers and making sure proper consent is obtained before collecting the data. By and large though the contact tracing use case would require individually identifiable information in order to fuse the datasets across companies. In addition, having them all in a single database system may prove to be a security risk as a single point of failure.
AI Ethics Lens
To help clarify the ethics around data sharing for contact tracing, we can turn to PDPC’s (Personal Data Protection Commission)
Model AI Governance Framework
which has a list of AI ethical principles (Annex A) for some guidance.
We see that the principals 6)
Human Centricity and Well-being
, 9)
Progressiveness
and 11)
Robustness and Security
apply in this situation. On the positive side, the decrease in infection would increase
Human Centricity and Well-being
and the steady reopening of the economy would increase
Progressiveness
. Conversely the loss of privacy would decrease
Human Centricity and Well-being
and the aggregation of so much movement data is a threat to
Robustness and Security
.
Overall this author would pursue data sharing with the caveat that once the threat of COVID 19 is eliminated, data sharing should stop as soon as possible. This termination criteria should be laid out explicitly at the start of the program.
Built With
api | Scaling up contact tracing with corporate data partnerships | Open up SafeEntry via API to booking and virtual queuing vendors to scale up contact tracing | ['Raymond Chan'] | [] | ['api'] | 58 |
10,017 | https://devpost.com/software/covid-19-patient-non-patient-risk-prediction-using-ai |
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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'] | 59 |
10,017 | https://devpost.com/software/rising | Inspiration
Millions of individuals, families, self-employed and business owners have been affected by the covid 19 pandemic
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Rising | Rising | Provide needed assistance during this time of crisis | ['Miftakhul farikhin'] | [] | [] | 60 |
10,017 | https://devpost.com/software/test-jadyb8 | Inspiration
Mode of transport to work for most Singaporeans is by public transport. Travel journeys on the MRT for most can take any time between 3 to 90 minutes. Spending ~90 minutes on the train could pose risks to such commuters. During peak hours, it is highly unlikely for safety distancing to be implemented. With such close proximity, should there be a carrier present, there could potentially be a spread of disease. To speed up the process of contact tracing, it would be ideal to find out who was in the same carriage at the same time as the carrier.
What it does
When people enter the MRT gantries, they use their ezlink/credit cards which could be logged in to an app like Simplygo which tells the time and location where the user enters and exits an MRT station. However, efforts would have to be made to identify the person through cctv throughout the whole journey and track down people he had been standing close to, should the person contract covid. This requires a lot of time and effort. As such, our solution aims to help contact tracers track down these potential carriers in the most direct way possible. QR code or SMS instructions will be put up on platforms. Users can either scan the QR code to open up the SimplyGO app to log in their carriage number, or manually log in by sending an SMS. At the end of the journey, If everyone in the MRT carriage submits their details, it will be easy to check who has been together in the same carriage at the same estimated time by checking the server logs.
How we built it
Java
Challenges we ran into
How to get people to adopt this. That said, we are exploring the idea to convert participation to points to encourage adoption.
What's next for MRTracers
This idea could potentially be used in other crowded areas and help in dispersing crowds.
Try it out
docs.google.com | MRTracers | Crowd awareness in the MRT | ['Lek Ee Kee', 'Shu Hui Yeo'] | [] | [] | 61 |
10,017 | https://devpost.com/software/qsafe-enable-safe-distancing-anywhere | Inspiration
On a recent visit to a neighbourhood small provision shop selling essentials, we observed the solo shop owner shouting and struggling to enforce safe distancing measures. There were 15 people in 2 small aisles when there should have been no more than 4 people at one time in the shop.
Post Circuit Breaker, when normal economic activity resumes, we will see increased people flow and crowds in various locations. How do we ensure safe distancing while businesses of all scales and sizes conduct their normal activities?
Our co-founder Medha realised we needed a solution to control people flow.
To find out more about the solution, use cases, benefits, deployment options and platform API capabilities, please refer to our slide deck and video demo above :)
How we built it
Our goal was to build safe distancing platform APIs that can enable on-demand quick deployments of virtual queuing service in many custom scenarios.
One sub-team worked on the back-end APIs, written in Java and SQL. Another sub-team developed user-facing Android apps to rigorously test the APIs and ensure all use-cases work and also managed cloud infrastructure activities.
Challenges we ran into
We faced a steep learning curve to understand and leverage the capabilities of the Google platform and implement a proper security model.
Accomplishments that we're proud of
We have a Minimum Viable Product (Version 1) available today. It is ready for customer trials and deployment.
What we learned
We have learned a lot about the technical capabilities of the Google Cloud Infrastructure including APIs, Google Security Model and Android App Development.
What's next for qSafe
Partner with organisations like GovTech and Google to drive deployments in Singapore and other countries
Harden the platform further for large scale deployments
Integrate with existing platforms like SafeEntry through APIs where required
Built With
android
google
google-apis-discovery
google-app-engine
google-cloud
google-cloud-messaging
google-cloud-sql
google-gmail-oauth
google-oauth
java
sql | qSafe: A Cloud-based National Safe Distancing Platform | Enable Safe Distancing Anywhere, On Demand! | ['SHRI SANTHANA'] | [] | ['android', 'google', 'google-apis-discovery', 'google-app-engine', 'google-cloud', 'google-cloud-messaging', 'google-cloud-sql', 'google-gmail-oauth', 'google-oauth', 'java', 'sql'] | 62 |
10,017 | https://devpost.com/software/foodleh | FoodLeh? homepage
FoodLeh? homepage (Chinese)
Create page
Create page (Chinese)
Search page
Individual Hawker page
OrderLeh?(1) - Add/remove items, review order
OrderLeh?(2) - Enter customer details
OrderLeh? (3) - Example WhatsApp order message sent to hawker (we sent this to ourselves for testing)
DriverLeh? (1) - Hawkers enter delivery request here
DriverLeh? (2) - Hawkers view this delivery fee estimate before submitting request
DriverLeh? (3) - Drivers view this message in Telegram channel and click on URL
DriverLeh? (4) - Drivers enter mobile number to confirm order and view full delivery details to contact hawker
DriverLeh? (5) - Hawkers receive 1 SMS when submitting request, 1 SMS when driver accepts. Driver receives 1 SMS after accepting.
Inspiration
The future of our hawker culture is digital. With hawkers expecting low foot traffic for the foreseeable future, the only way forward for our hawker culture is to move online. At FoodLeh?, we aim to help every single hawker in Singapore establish an online storefront to get discovered, promote their food, and generate sales.
FoodLeh? (https://www.foodleh.app/)
is a non-profit, crowdsourced & open-source F&B platform created by a group of university students to lead our local hawkers into the digital economy. We now have around 450 F&B listings. Hawkers can easily add a listing, add their menu, and receive orders through WhatsApp. Singaporeans can access the easy-to-use interface to find hawkers around them and instantly browse menus & make orders.
We began this project after seeing many hawkers and local F&B struggling with bad business recently. We were inspired by the Hawkers United Facebook group with 260k members but realized that the Facebook interface was tediously hard to search. We wanted the same community-driven spirit of the Facebook group but with a few distinctive features:
Empower every hawker with an easy-to-setup permanent online storefront with comprehensive information like contact number, pictures, and menu
Enable every hawker to have a free and simple-to-use online ordering system to list menu items and receive orders directly from customers
Allow Singaporeans to easily discover location-based hawker food nearby based on their postal code instead of stumbling across irrelevant posts about stalls halfway across the island
Encourage Singaporeans to help list for their favourite hawkers especially traditional hawkers who are less tech-savvy
Lastly, we wanted this platform to be completely open-source. Our aim is to develop until it reaches a stable state, then have it run and owned by the community, with occasional moderation by us. This way it can remain sustainable.
Theme 2: Reopening Our Economy: Moving Into The Digital Economy
Singapore hawkers are especially badly hit by the pandemic with reduced foot traffic to hawker centres. To reopen our economy, hawkers must adapt to a new world of "work from home" setups, food deliveries, and online marketing. Without these adaptations, hawkers will be left behind while more tech-savvy F&B owners take over.
Hawkers must stop relying on a physical storefront but instead move into the Digital Economy. What this entails is a transition to an online storefront, utilizing social media marketing, and accepting e-payments. FoodLeh? helps make this transition easier by firstly offering them a free online storefront with a built-in order form so they can easily share them with customers. As hawkers eventually learn to use e-payment systems, we plan to build in e-payments so that hawkers spend more time cooking and less than handling orders.
What it does
Customer Journey
Choosing food
Delivery or Dabao:
On Home page, user chooses
delivery
or
dabao
and is prompted to enter postal code
View hawkers and filter/search
: User views hawker listings, sorted by distance. User may further
filter
by categories or
search
by keywords for a particular hawker name, food category, food item.
View individual hawker:
User selects any hawker listing and clicks into it.
General information:
User will see the following fields (if present):
menu, brief description, detailed description, details regarding delivery, delivery fees and opening hours
.
Submitting Order (example in images)
The menu and price preview is displayed and user clicks
See more
or
Menu
to view full menu.
User selects quantity of desired items just like ordering anything online
User reviews order quantity and prices and enters delivery information
User clicks
'Place order via WhatsApp'
and is brought to WhatsApp if on mobile, or WhatsApp Web/Desktop if installed on desktop.
On WhatsApp, user is brought directly to a new chat with the hawker with the pre-formatted order message (example in images). They then proceed to confirm payment details with the hawker over WhatsApp; FoodLeh? will not handle any payment.
Hawker Journey
Home page:
Hawker can choose to click a
中文
button at the top which toggles the website language to Chinese, for those more familiar in Chinese.
Create
: Hawker clicks 'Create' and is brought to the Create page.
Enter Details:
Hawker uploads up to 6 images and enters basic stall details and additional details.
Submit:
Hawker clicks
'Submit'
and is brought to the new page of their stall's listing.
Share:
Hawker can share their listing on Facebook, WhatsApp, Telegram or Twitter by clicking buttons on their listing page.
Edit:
If the hawker wishes to edit their listing, they click
'Edit'
on their listing page and are brought to the same page as the Create page, where they can edit all the information they previously submitted.
Review & Moderation:
When the hawker submits the edits, an email is triggered to us for review. The email and review process is similar if hawkers click
'Delete'
to delete a duplicate listing.
Note:
Customers are encouraged to help hawkers create listings as well, and the process is the same as above. We ask that they seek permission from the hawkers to be listed.
How we built it
We coded it in ReactJS frontend with Firebase backend and Firestore database.
Github
Along the way, many people have given us kind advice and valuable help. Development-wise, the open-source community on Github has been amazing and people with a lot of experience and expertise have been submitting many pull requests and pointing out issues we should address.
Challenges we ran into
1. Reaching out to hawkers:
We are still facing this issue as a lot of traditional hawkers are the ones who will benefit from visibility, but it is hard to reach out to them online. We recruited a few of our friends to help with publicity on social media, but are open to any ideas on how to reach out to more hawkers!
2. Technical expertise :
We only had 2 CS students developing the site and we were also in the midst of our final examinations, so we had some issues keeping up with developing new features and bug fixing. Luckily, the Github community was instrumental in giving us advice and helping us with PRs. We also had help from our friends!
3. (Long term) Focusing on hawkers:
We do not wish to exclude restaurants now because all F&B outlets are suffering during the COVID-19 period. However, in the long term, we feel that hawkers are the F&B group that could benefit most from an online presence, as restaurants have more capacity for publicity measures, etc. This also makes it easier for Singaporeans to truly find hawker food all in one place on FoodLeh?. Thus, we wish to find some way to validate "hawker status" in the future, but we could only find postal codes for NEA hawkers on data.gov, which doesn't cover all hawkers.
Accomplishments that we're proud of
We reached 367 hawker listings and all but 1 of them were created by hawkers/community users themselves! We are hopeful that this means the site can be truly community-run in the long term, without us going in to manually add hawkers one by one, as this would not be sustainable.
We were featured on
Straits Times
,
AsiaOne
,
LianHe ZaoBao
and
Youth.sg
. Hopefully this publicity gets more people to use FoodLeh? and brings more business to the F&B outlets.
What we learned
1. Build fast, fail quickly, keep improving:
We did not have previous experience building a full website from scratch and handling hosting and other FOSS good practices, so this has been a huge learning experience for us.
2. Feedback:
It's very important to get feedback from the end users, like the hawkers themselves and people looking for food. We received a lot of feedback via email and Facebook Messenger, such as managing edit access, requests for a delivery feature, issues with location search etc. It's not possible to keep building in a black box without these users pitching in to give feedback too.
What's next for FoodLeh?
Collaboration with NEA and NTUC Enterprise
Currently, we have a limited amount of outreach to hawkers (450 listings so far) as non-tech savvy hawkers will not be aware of FoodLeh. We hope to work with NEA and NTUC Enterprise to outreach to hawkers to aid them in the transition to the digital economy. These government organizations will have the contacts and the resources to ensure that hawkers are willing and able to make the digital transition.
Work with SGCares to Recruit Volunteers to List Hawkers
In the long-run, we hope that FoodLeh will be the most comprehensive hawker listing in Singapore so that anyone looking to support our hawkers can easily locate them. To do so will require lots of manpower to reach out to hawkers and list for them if necessary. We hope to work with SGCares (by MCCY) to recruit volunteers for our movement to save our hawkers.
Seek Full-Time Developers to Continue Developing FoodLeh
In the long-term, FoodLeh requires further development in security, additional features (e.g. hawker dashboard, e-payments, delivery system). However, many members of the team are students who will be starting full-time employment soon and unable to build these features full-time.
DriverLeh - Delivery feature to connect hawkers to drivers easily
We received a lot of requests from hawkers to offer delivery as well, so we discussed many ways and developed a feature to help hawkers to find drivers more easily. It is already completed and functional but we are doing beta testing first with just 2 hawkers to iron out bugs and refine the user flow.
Problem:
Hawkers who do delivery now usually find a few riders on Facebook (eg Delivery United FB group), create a small chat group, and post delivery requests when they need drivers. They manage the requests via the chat group. Some also post directly on Facebook groups, and receive 10-20 comments which they have to respond to one by one. Other hawkers find it a hassle and only do takeaway.
DriverLeh? - Hawker Journey
Hawker receives a delivery order, is paid by the customer via PayNow/PayLah, and goes to the FoodLeh? DriverLeh? page to submit a delivery request.
Hawker enters stall address, delivery timing, customer address, hawker mobile number and customer mobile number.
We generate an estimated delivery fee based on the 2 towns that the hawker/customer are in eg Bedok -> Tampines.
Hawker submits order, and a Telegram message is automatically sent to a Telegram channel of delivery drivers (recruited by us).
When a delivery driver accepts the order, the hawker receives a confirmation SMS (sent via Twilio).
The delivery driver picks up the order, the hawker pays the driver in cash/PayNow/PayLah and passes the food to the driver.
DriverLeh? - Delivery Driver Journey
The driver sees an order request message in the Telegram channel that they are in. This contains the pickup and dropoff address, timing, and delivery fee promised.
The driver clicks on a unique URL in the Telegram message if they are willing to take the order.
The driver is brought to a FoodLeh? confirmation page where they enter their mobile number and click '
Confirm
' to accept the order.
Upon confirmation, the Telegram message in the channel is edited to remove order details and instead says "A driver has picked up this order!" Other drivers will not be able to take the order
The driver who accepted the order receives a confirmation SMS (sent via Twilio) with the full delivery details.
(Hawker also receives a confirmation SMS at this point with the driver's mobile number)
Driver picks up order at the hawker stall, receives payment from the hawker, and delivers the food to the customer.
We are open to working with the government or NGOs. Our own aim is to help the site reach a stable state, then have it run and sustained by the community, with a little moderation.
What We Are Presenting
In the first 1.5 minutes, we will be showing our demo video (as found on this page) to introduce what FoodLeh? is
In the next 3.5 minutes, we will use a PowerPoint slide to talk about our motivations for the web site in helping our hawkers as well as our future goals (DriverLeh) and aspirations for this project.
Built With
css
firebase
firestore
react
Try it out
www.foodleh.app
github.com | FoodLeh? | Leading our hawkers into the Digital Economy via a free, crowdsourced web app. | ['Joyce Sin', 'Yi Fan Lim'] | [] | ['css', 'firebase', 'firestore', 'react'] | 63 |
10,017 | https://devpost.com/software/kam-sia-sg | Beautiful landing page for potential donors, frontline workers, and F&B owners
Beautiful graphics to attract donors
Beautiful landing page for potential donors, frontline workers, and F&B owners (mobile)
Beautiful page describing each beneficiary organisation
Beautiful page describing each beneficiary organisation (mobile)
Beautiful page depicting local F&B businesses
Beautiful page depicting local F&B businesses (mobile)
Beautiful page depicting local F&B businesses and the instant responsive search feature (mobile)
Beautiful page illustrating data analytics at its finest
Inspiration
Covid-19 has had many detrimental effects on our society. One of the hardest-hit sectors is the local f&b business. We felt that if we could do something that might increase orders for them, perhaps we could help them tide through this period, and in future, they could still continue benefitting from this initiative.
At the same time, as seen from the move to applaud our frontline workers in Singapore a month ago, we felt that the public is willing to show their appreciation for frontline workers, but most of them are unaware of platforms to do so.
By gelling these two problems together, we want to create a way for the public to be able to show their appreciation for our frontline workers by buying a meal for them, which at the same time, helps to increase revenue for our struggling local f&b businesses to tide them through this period.
What it does
The platform allows donors to donate credits to our partner organisations (hospitals). For the initial phase, we choose to focus on healthcare workers as they are the ones in the limelight right now, which could significantly help in bringing this initiative to fruition.
F&B businesses can list up to 3 set meals on our platform, with minute listing fees and negligible commission fees, something in which no other food listing platform is offering.
These healthcare workers can then log onto the platform through SingPass to select set meals from our f&b partners, with the meal fully paid for by the donations. F&B partners thus enjoy an additional stream of revenue.
Donors will be notified how their donations have been used
How we built it
Backend
We started our project by building our backend. We built our backend in javascript using node.js and express.js. We used MySQL for the database. We decided to start with the backend development because we believe that it would build a strong foundation for the project.
Frontend
We then built our frontend in react as react is a powerful library that enables the building of responsive and professional web applications.
Putting them together
We split our team into 2 with one group focusing on the frontend and the other focusing on the backend after we finished discussing the overall structure of our application.
Challenges we ran into
Since our team was split into two, we had to maintain communications between the teams to ensure smooth and seamless development of the project. Most of us are quite new to web development, especially in javascript (node and react), so throughout the hackathon we were helping each other through sharing our screens and pair programming. This is how we overcame all the challenges we faced as we were developing the application while ensuring that everyone was on the same page throughout.
Accomplishments that we're proud of
What we believe to be a professional-looking website considering that we wanted to develop an MVP and not a fully-fledged website. We are proud that we remained focused on the core features of the application to ensure that we could finish in this short time frame. We are proud that we looked at our product from different perspectives as we built it, such as from the various user groups' perspectives.
What we learned
Most of us are first-time hackathon participants and we discovered that although hackathons are quite mentally and physically exhausting, they are without a doubt fulfilling in the sense of building a product that you believe in with people you trust and care about. We all learned more about web development and working as a team to develop a product with a tight deadline.
What's next for Kam Sia SG
We hope that our application idea will be picked up by either the government or a private enterprise and that they will further develop on our idea and make it the best it can be and contribute to society in the way that we envisioned.
Built With
express.js
javascript
mysql
node.js
react
Try it out
github.com
github.com | Kam Sia SG | To do our part in the fight by appreciating our frontline. #sgunited #kamsiameansthankyou | ['Nicholas Novakovic', 'Elliot Tan', 'Nivian Lee', 'Jefferson Sie'] | [] | ['express.js', 'javascript', 'mysql', 'node.js', 'react'] | 64 |
10,017 | https://devpost.com/software/telehealth-to-address-mental-wellness | Inspiration-
Ever since I started exercising regularly, I've found that my mental health and onsets of depression have become much less frequent. However, since the start of the circuit breaker, some of us and even myself have found ourselves feeling depressed from being isolated from our friends, our routines, being over-stimulated with noise in our homes or just fearing what is to emerge from this pandemic situation. It came as a random event, but one day I decided to "jio" some friends to exercise with me over zoom and after we exercised, we played the online game, skribbl.io. And I truly felt much better after the session!
It turns out that two very important events occurred during this process which helped to alleviate my mood. The first was exercise which triggers the body to produce a chemical, dopamine, which is associated with pleasure. The 2nd event that occurred was working with one another via the game skribbl.io which triggers the body to produce the chemical, oxytocin which creates our relationship bond and strengthens camaraderie.
What it does-
So what I'm proposing does not require new technology because we already have the tools. What we lack is product vision of how to use the tools, and Im proposing that we could create an e-gym where series of fitness groups and art classes/workshops are hosted online via zoom, for a group of not more than 15 people per class. To ensure that these classes/workshops achieve the camaraderie as a group, these classes/workshops will not be streamed or recorded for future references, because the intention is to create intimate bonds between the instructors and participants during the session and not just be another video to watch.
To also generate a source of income for our instructors, I am proposing a credit system similar to which of Classpass. Each registrant will be given a certain amount of credits that they can use to sign up for classes, once the credits have been fully utilised, registrants can choose to top up credits to continue attending the programs. However, because we also know that this pandemic has taken away many jobs, instructors can give registrants the option to "pay as they wish" during this difficult time.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Telehealth to address mental wellness
To include audio and text translation features so that this can be further developed into an app to reach out to the blind and deaf community and even foreign workers that might not understand English. | Telehealth to address mental wellness | "Isolation is not good for me.." the song lemon tree by Fools Garden would resonate with many of us during this CB, so why not combat this through community fitness and gaming to strengthen SGunite | ['Tabitha Chee'] | [] | [] | 65 |
10,017 | https://devpost.com/software/automated-safe-entry | Inspiration
Somethings I've noticed about the current entry and exit checks:
Staff are still touching ICs, these are potential fomites and should not happen as much as possible
The process of scanning a QR code can sometimes slow down the check-in process and creates bottlenecks where people gather close together
The process of having to scan again to exit is problematic and creates unnecessary bottlenecks. Imagine a singaporean going to buy groceries alone for the family, both hands full of bags after paying. On exiting the supermarket, then have to put down their bags, take out their phone or ID, scan/show and then fuss around to pick up their bags again before accessing the supermarket and once more when they leave the mall.
What it does
An app that monitors whether you are near a point of interest, much like how foursquare prompts you to checkin. As you are approaching or outside say NTUC JEM, it prompts to ask you if you want to check-in. Depending on the poll rate you might still need to wait or scan. When you check in, it goes through the usual safe entry checkin process.
You may not have to check out as it could detect that you left the area and auto checks you out.
How it can be built
App can integrate google places or foursqure apis to pick up location. Alternatively identify by wi-fi networks or bluetooth beacons.
The app itself can be native or hybrid or a simple web wrapper on top of the safe entry infrastructure, with the extra ability to detect location.
Potential challenges
Some of the human processes may need to be worked out, ie how do staff ensure the user has the app before letting them out of the building?
Speed of picking up the location may not be fast enough to ensure the optimal user experience, which was meant to speed up the checkin process and reduce bottlenecks
What's next for Automated safe entry
Riding on the wave of connecting safe entry data with tracetogether data, this allows a more seamless/neartime feed of location data with an added checkout capability, since most people do not actually checkout of their locations currently, which means its hard to use the data if need be for contact tracing... cleaner data.
Built With
android
beacons
foursquare
google-places
ios | Automated safe entry | Prevent bottlenecks and touching ICs, automate safe entry | ['Thomas Wong'] | [] | ['android', 'beacons', 'foursquare', 'google-places', 'ios'] | 66 |
10,017 | https://devpost.com/software/automated-safety-scoring-for-points-of-interest | Inspiration
While we are the current stage of tackling the spread of Covid-19, our country has already been looking ahead to ensure we are well positioned for recovery, to be able to open up our domestic economy quickly and safely. There is however a constant worry of recurrent waves of infections that we must contain. In order to reopen our economy there will be new norms to adhere to.
Given the current measures we have put in place, we do not have enough manpower to fully manage and ensure various locations are relatively safe. It is hard to quantify and consolidate currently manually observed data in a timely manner.
A suite of solutions can be put together to create a safety score/weight which can be transmitted near time to a centralised source where various dashboards, monitoring and alerts solutions, and various agencies can access to be able to better manage the re-opening up of the economy.
What it does
Uses low cost computer visions solutions to monitor social distancing in queues and within locations like markets, transport hubs, malls...
Uses low cost computer vision solutions or wireless packet sniffing solutions or online crowd data sources to measure occupancy in a location like a wet market, a building, supermarkets, transport hubs...
Uses low cost computer vision solutions to check if individuals are wearing masks and even if individuals are wearing masks correctly.
These systems can run 24/7 and monitor the behaviour of essential service staff to prevent gatherings and the lax usage of PPEs.
The data from each measure will be fed to a centralise data warehouse near time which will then calculate a score for each point of interest.
This data can be used to map out where potential hotspots might be in which can then trigger corrective action
The data can also be shared in some form publicly much like spaceout.gov.sg to help the public plan their journey or destinations
How it can be built
Computer visions solutions can be built on single board computers like odroid with an attached low cost camera using mobilenet v2 or a similar machine learning library. I have a team that has already been experimenting with this.
Data can be piped into a cloud service using a pub sub messaging infrastructure like kafka or fluentd
Data can be warehoused in cloud solutions like redshift or bigquery
Alerts and triggers can be built in python services and dashboards can be generated in tableau, data studio or powerbi depending.
Potential challenges
There are some hardware costs
There are real deployment issues like networking, mounting and power supply
Built With
bigquery
kafka
leaflet.js
maptive
mobilenet
mqtt
odroid
python
sql | Automated safety scoring for points of interest | Quantify safety of locations to help opening up the economy | ['Thomas Wong'] | [] | ['bigquery', 'kafka', 'leaflet.js', 'maptive', 'mobilenet', 'mqtt', 'odroid', 'python', 'sql'] | 67 |
10,017 | https://devpost.com/software/speed-up-contact-tracing-using-telco-data-for-timeline | google timeline sample
cell tower & triangulation sample
Inspiration
Google Timeline is a great way to piece together a person's path over time. I've personally used it to back track where I've been before especially when filling out timesheets.
I may be wrong but I believe that contact tracing can take a quite a bit of time and manpower, especially when dealing with larger numbers of cases to track. Also it may not always possible to get a person's past movement history in a timely manner for a number of reasons:
Cases may not remember where they have been
Cases may not want to reveal where they have been
Cases may not be in a physical state to share where they have been
Other factors like language may slow down the tracing process
Being able to quickly recreate a version of a patient's "Google Timeline" could speed things up significantly and the underlying technology is readily available. Instead of waiting a few days to piece together a person's past movements, this could be done in minutes or maybe even seconds if the data is readily available.
What it does
The solution will pull only the patient's past cell tower pings (tower id, position, signal strength) from the telco data warehouses.
The patient's position, length of stay can then be overlayed onto google maps or maptive on a day by day basis which could help the contact tracing team quickly put together potential hazardous interactions.
How it can be built
A query can be sent to the relevant telcos to extract past 2 weeks cell tower pings which can be ingested into a performant cloud data warehouse like google bigquery or amazon redshift. It should be less than 2 million rows of data which is tiny for cloud data warehouses to handle
A standard query can be run to generate a summary of positions and duration of stay which can then be overlayed on a map interface for the contact tracing team to utilise.
I've worked with a team which has implemented for commercial purposes aggregated user paths and movement through Jakarta using similar data sets.
Some potential challenges
there may be privacy issues, but since it is limited to only 1 person's data which could be with consent or could be allowed by policy
it may take time/money to extract the data from telcos
What's next for Speed up contact tracing using telco data for "Timeline"
It can be expanded to identify/alert other people who may be spending time in the same point of interest
if tracetogether is installed, it can be paired with the data from tracetogether to enrich it with location information only when a confirmed case has been identified.
Built With
google-bigquery
sql | Speed up contact tracing using telco data for "Timeline" | Contact tracing can be augmented with readily available limited telco data | ['Thomas Wong'] | [] | ['google-bigquery', 'sql'] | 68 |
10,017 | https://devpost.com/software/national-healthchain | Inspiration
Data sharing in general is an issue with lots of critical steps, in terms of security and consistency. Time to time it is in the headlines that there is some data breach in some company. In addition, bad actors may potentially change critical data for their own benefits on a traditional data storage solution, like a database.
Problems with sharing medical records of patients and people under risk for Covid-19, in a secure and private way
What it does
Using a permissioned blockchain to allow medical institutions and government agencies to store and share medical data of the citizens to avoid the issues with potential data breaches and data tampering. Although for many blockchain usually means cryptocurrencies, the underlying technology simply allows immutable data recording, and storing the data cryptographically tamperproof way, that replacing traditional data storage applications with a permissioned blockchain based application would ease the pain on breaches and tampers. And when it comes to data sharing amongst medical institutions and other government agencies, it would be provided as built-in feature of the permissioned chain, that there wouldn't a need to any external arrangements or lengthy data crunching processes. While a patient himself/herself can have read-only access rights to his/her own medical details, write-access will be only given to the allowed medical institutions and allowed actors (i.e medical personnel). The wallet addresses on the chain would easily be binded to NRIC numbers of the citizens as well, so that the immutability and relevancy of the data would be protected. In this way, any attempt to hide medical history from the national authorities would be prevented. For example, instead of asking for a person to declare if he/she has any underlying illness/symptoms/medical conditions at the airports could be replaced by an automated check with a simple scan of his/her NRIC, that deceiving authorities would be prevented.
Scaling, Concerns, and Potential
As the system would be on a permissioned blockchain, horizontally scaling the system would be quite straightforward, and as it is permissioned, the scaling could be easily controlled. You may scale up or down depending on the circumstances for instance. As a national solution, the blockchain nodes can run on servers located in Singapore, hence any kind of latency or lag issues would be minimized due to the geographical distance. The read-only accesses to the medical data by the patient himself/herself would an easy-to-use mobile application, hence it can widely be accepted as a replacement of medical data flow by patients as well. For instance, instead of getting a paper medical report to their company or certain agencies (i.e visa applications), they would simply use their mobile wallet application to access related data as a proof. For write-access, it would be restricted to certain institutions, like clinics or hospitals, and as they are already using some form of electronic storage, the healthcare personnel would have a quite flat learning curve to use the new data storage/tracking system. The main issue with the application would be migration of the existing data from current storage systems to the new blockchain based system, that it might require certain form of data migration policies to start using the new system. But again at this point, as the blockchain system would be developed from scratch, it can be developed in a way to make the historic data migration easier. | National HealthChain | Medical Data Management System Based on Blockchain | ['Deniz Durmus'] | [] | [] | 69 |
10,017 | https://devpost.com/software/automated-safe-distance-monitor | Inspiration
Safe distancing is important now as we fight Covid19, it is important also to help us return as much as possible back to normalcy. Being able to continually and cost effectively monitor safe distancing at crowded locations and being able to quantify and respond to it real time will help
We currently are only able to deploy a limited amount of safe distancing ambassadors. Due to limitations in manpower, they cover crowded and central markets/areas mainly. Delivery riders are hard to manage, stall owners pull their masks down and gather once ambassadors are gone, markets are cramped and it is hard for popular stalls to maintain safe distancing.
Policy makers may be hesitant to reopen up businesses and locations confidently as its hard to monitor and manage preventative behaviour as well as crowd levels in so many locations. Being able to quantify that in near time helps planning and response, as well as effective deployment of resources.
What it does
A network of lightweight IoT edge smart cameras that use computer vision to monitor and calculate safe distance between people
This can be used to monitor a queue or be used to monitor potential crowded spaces like a wet market.
Using capabilities already built into mobilenet v2 and running on a lightweight single board computer with a cheap camera attachment, we can estimate distance between 2 humans.
If it continually detects people close to each other for an extended period (x minutes) it can do a few things
play an audio alert (like in MRT trains) to remind the public to maintain a safe distance
send an alert to the attending safe distancing ambassador to inform them of the breach in safe distancing and the specific area it is happening. This reduces the need for safe distancing ambassadors to walk around or sit around constantly eyeballing. Also reduces the number of ambassadors required.
record this as an issue in a database which can be aggregated to eventually produce a safe distancing score for a location/stall/area in near time.
Quantified safe distancing data can be used in a number of ways:
Can be part of a safe distancing weight/score for an area/location/stall
A real/near time pulse on the number of safe distancing breaches so that ambassadors/officers can be deployed more effectively
Shared with various public so they can decide which areas are generally safer for them to visit
Can be used for backward analysis
Can be used for forward response of potential clusters/dangerous behaviour
The scoring system can be a way to help policy makers open up and monitor businesses and the economy more confidently
How we intend to build it
we have already assembled a half built version of it using mobilenet v2, a single board computer and a camera. It can already calibrate for warp and estimate distance between people.
data feed can be piped into a datawarehouse like bigquery using fluentd
data can be reported using SQL and Data-Studio for agility
alerts can start with e-mail but can be extended to telegram/slack/whatsapp
What's next for automated safe distance monitor
This can be combined with other add ons to monitor occupancy to form a more holistic scoring system
This can be combined with other add ons to monitor safe mask wearing to form a more holistic scoring system
This can be deployed in supermarkets
This can be deployed in shopping malls
Built With
fluentd
google-bigquery
google-data-studio
mobilenet
odroid | Automated safe distance monitor | quantify & monitor safe distancing | ['Thomas Wong'] | [] | ['fluentd', 'google-bigquery', 'google-data-studio', 'mobilenet', 'odroid'] | 70 |
10,017 | 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'] | 71 |
10,018 | https://devpost.com/software/scribe-y89kw4 | Multiple languages supported
Upload from your machine, or use a web link.
Homepage
GIF
Upload or provide the link for the video you want transcribed
GIF
See your transcription and edit for accuracy, then get a pdf of screenshots and transcriptions.
📝
Scribe
Scribe is an accessibility-focused application that is meant to help students, especially deaf and hard-of-hearing students or ESL students, to obtain text transcriptions of lecture recordings.
A student or professor can easily upload a locally downloaded mp4 file, or provide a web link to a video hosted online by YouTube or the user's school. If video captions are available as a part of the video uploaded, those will be used. Otherwise, a video transcription will be generated using IBM's Watson AI. A PDF will be produced that includes transcribed text interlaced with screenshots of the uploaded video at the user selected time intervals The user can then download, print, or e-mail the resulting PDF.
Optional features include language translation to a language of the user's choosing, and user-editing of the resulting transcription to ensure the best accuracy possible in the final transcription PDF.
Scribe also has many other possible uses for thoroughly documenting any type of lecture or presentation.
The inspiration for Scribe came from reviewing notes from a professor who said many important things during lectures, and who shared the PowerPoint slides with the class, but the slides lacked the detail of the spoken portion. In addition to being potentially useful for those with accessibility concerns, we thought something like Scribe could be used by anyone to search for key-words in long videos to easily zero in on desired topics during review. The Scribe PDF could be reviewed when watching the video is not an option, or the notes could be used as a way of navigating a lecture video much like the index of a book.
🌎View on the web:
Scribe
is hosted by Heroku.
💾 View the source code:
https://github.com/kenkoolio/team_tbd
🔨 Scribe is built with:
Python3
w/
Flask
, back end
jQuery
, front end
Bootstrap
, front end
Heroku
, hosting
IBM Watson
, AI based voice to text
MoviePy
, video and audio editing
SendGrid
, email
googletrans
, text to text language translation
FPDF
, PDF document generation
Bitstream Cyberbit
, foreign character support
MDB
, dynamic refresh brokering
🤓 Authors
Mae LaPresta
Noah
Ken Nguyen
Elizabeth Tackett
Scribe was created for the Summer 2020 BeaverHacks Hackathon
Challenges we ran into
AI transcriptions are not as accurate as we hoped, and finding ends of sentences or ends of slides requires a large amount of heuristics.
Supporting non-latin characters in pdf documents was not straight forward and required custom fonts or switching fonts and even character encoding schemes.
Updating the processing page during file processing was not straight forward due to the timeout of standard http requests; a database broker was necessary to maintain updates.
Heroku's request timeout is set at 30s, so although we were able too run the app run locally, we had to find a way to process the videos in the background
Accomplishments that we're proud of
The entire project should be very helpful for people wanting to review class lectures and find topics in videos during studying.
The feature to support languages besides English was particularly exciting to implement, especially with the diverse student body of the university.
Utilizing both AI transcription and translation services as well as all the other libraries used provided a shocking amount of power to a relatively simple weekend-built application.
Learning together and working as a team provided a large amount of growth opportunity, especially finding ways to put everyone's unique skills to use in elegant and efficient ways.
What we learned
When it comes to putting together a weekend software project, python is amazing.
Besides the web interface, every other component was something we have not used before. If anything, we learned that taking advantage of APIs and libraries is not as difficult as it might seem on the surface.
What's next for Scribe
Custom speech models trained on domain jargon.
Retrieve existing captions from Kaltura videos
Text detection in images, so that snapshots are also searchable.
Punctuation/sentence detection for transcriptions.
Scene change detection for automatic next-slide.
User submitted slide pdfs (for appending transcription) and/or caption files.
Additional languages.
Built With
bootstrap
flask
fpdf
google-translate
ibm-cloud
javascript
jquery
python
sendgrid
Try it out
class-scribe.herokuapp.com | Scribe | A Transcription webapp, allowing students to upload or provide a link to a lecture video. After reviewing the transcription, the app will generate a pdf of screenshots/text to download or email. | ['Mae LaPresta', 'Ken (Huy) Nguyen', 'Elizabeth Tackett', 'Noah Dale'] | ['First Place Overall'] | ['bootstrap', 'flask', 'fpdf', 'google-translate', 'ibm-cloud', 'javascript', 'jquery', 'python', 'sendgrid'] | 0 |
10,018 | https://devpost.com/software/library-zfcwo5 | Home page
Dark mode
Light mode
Add a footnote
Settings panel
Example of settings with largest font size and line spacing possible on Georgia style font
Example of settings with smallest font size and line spacing on Cambria style font
Inspiration
Given the recent rise in social distancing, many people find themselves working or studying from home. However, it can be more difficult to effectively focus at home and this problem is exacerbated by the distracting user interfaces many web pages have today. To aid in productivity, we created a web console that allows users to save the text content of web pages and store them for reading later. Our app will allow users to easily adjust the text size, coloring, and spacing in order to suit their individual needs. The goal is to have an aesthetically comfortable environment where one can read the content pulled from the web page of their choice, only without the ads, comments, and other intrusive content.
What it does
Extract text content of a web page and houses its contents in the app’s environment
Adjustable font size, font family, and line spacing
Create footnotes for each saved document
Toggle a dark mode and light mode based on user preference
How I built it
Back end: Node.js, Firebase, Python
Front end: HTML, CSS, Bootstrap
Challenges I ran into
Picking a color theme and overall style for this app was a bit challenging because we wanted to find an aesthetic that was pleasant yet non-distracting. There are many techniques regarding accessibility, usability, and general design that neither of us were knowledgeable in.
Accomplishments that I'm proud of
Ryan: I'm proud of how quickly we were able to take an idea and execute it. Participating in the Hackathon really forced us to just keep coding and learning. We surprised ourselves with how much we were able to do.
Calista: I'm proud of how we were able to make almost all of the user stories from our original design plan come to life, and how we incorporated features on the fly.
What I learned
Ryan: I learned how to use Bootstrap effectively and got more familiar with node packages.
Calista: I learned how to create intuitive UI designs and incorporate back end functionality.
What's next for Library
We would like for Readify to ideally be a plugin for browsers. This would allow users to simply click the Readify icon when they're in the middle of reading a webpage and automatically save the text to their Readify library. This would be easier than having to input the URL manually into the app.
Built With
bootstrap
css
firebase
html
javascript
jquery
json
node.js
python
Try it out
github.com
repl.it | Readify | Readify is a web application that allows you to save URLs of news article websites for later reading. It extracts only the article contents, leaving you distraction free from ads and pictures. | ['Calista Wong', 'Ryan Elizabeth Speese'] | ['Second Place Overall'] | ['bootstrap', 'css', 'firebase', 'html', 'javascript', 'jquery', 'json', 'node.js', 'python'] | 1 |
10,018 | https://devpost.com/software/welcome-to-osu | Inspiration
When getting started with OSU for the first time, it is quite challenging. It's not an easy process, and we wanted to make a website that gathers all the important topics for getting started in 1 place, making it a comforting experience for new and transfer students coming to OSU.
What it does
It's a website that makes it easier for new and transfer students to transition to the OSU environment. It contains all the important things for getting started at OSU and condenses all essential information into a single organized web app. It will include an introduction to the pace/style of schooling at OSU, how to apply for the OSU scholarship, food options, residence, guidance/tutoring options, and health/wellness options.
How I built it
It is built with Adobe XD, React, Nginx, Docker, Elastic Beanstalk (EC2, AutoScaling, LoadBalancer), and Cloudfront.
Challenges I ran into
We didn't have much familiarity with working on multipage websites, and so this was our first attempt at it. We struggled with learning all the HTML/CSS syntax, and understanding how everything worked at first. We also found it difficult to make the website responsive.
Accomplishments that I'm proud of
What I learned
The main goal out of this was that we learned a lot about website designing. We developed a prototype website from a developer standpoint and turned into a full-fledged production website.
What's next for Welcome to OSU
We'll work more on making the website responsive, so that it looks good on all screen sizes, including mobile. We could make our website work on other browsing softwares liked Edge, Safari, Firefox, etc.
Built With
amazon-web-services
react
Try it out
github.com
new-osu.us-east-1.elasticbeanstalk.com
d2fkq9bbwn2p5j.cloudfront.net | Welcome to OSU | A web app that makes it easier for new and transfer students to transition to the OSU environment. It contains all the essential things for getting started at OSU | ['Adam Graneto', 'Jonathan Macias', 'Crypto :)'] | ['Third Place Overall', 'First Place New Student'] | ['amazon-web-services', 'react'] | 2 |
10,018 | https://devpost.com/software/covid-daily-notifications | Inspiration
As states slowly repeal restrictions due to the COVID-19 pandemic there is a looming threat of outbreak as social distancing is reduced. We want to provide improved accessibility by creating an easy-to-use statistics driven web interface and notification system to keep community members up to date on the state of the pandemic in their area.
What it does
This website uses the api provided on covidtracking.com and displays this information via clickable maps on our website. User's can click on different states on the Google maps api and we provide COVID related statistics on page via covidtracking.com's api.
Additionally, users can sign up on
link
page and receive daily notifications that our app provides via the covidtracking.com api. Subscribers are sent emails every 24 hours with COVID related updates pertaining to the states the user chose to subscribe to. The daily emails include new hospitalization rates, new death rates, and other statistics for each state the user selected, all within the past 24 hours.
How we built it
We build this web application as a team. We splits up main roles for each group member at the start of this project and helped each other out, taking advantage of each team member's strengths.
Accomplishments that I'm proud of
As a team, are proud to have created an aesthetically pleasing website with email list functionality, Google maps api functionality interfaced with covidtracking.com api that allows users to subscribe and unsubscribe from the mailing list.
What I learned
We learned how to overcome some of the organizational challenges of working as a team on a coding project. We also learned how to better plan a future project of similar size in the future.
What's next for COVID Daily Notifications
While our website is fully functional, next steps would some fine tuning each webpage, placing our website behind a domain name,
Built With
covidtracking.com
css
express.js
html5
javascript
node.js
scss
webpack
Try it out
167.99.161.12
github.com | COVID Daily Notifications | Stay up to date with daily email notifications on COVID deaths and infections. | ['Joshua Kaiser', 'Dane Emmerson', 'Naomi Grant', 'Andrew R Derringer'] | [] | ['covidtracking.com', 'css', 'express.js', 'html5', 'javascript', 'node.js', 'scss', 'webpack'] | 3 |
10,018 | https://devpost.com/software/uqueue | Home page
Customer interface
Business login
New business account
Manage business settings
Manage customers
Inspiration
The current COVID-19 situation has created the need for social distancing. This has changed the way we as a society go about our everyday lives, one example in particular is the routine act of visiting your local businesses. In order to maintain safe distances occupancy limits are being enforced, and lines to enter businesses are becoming common. We built this app in hopes of addressing this issue
What it does
It gives small business the capability to allow their customers to form lines remotely to practice safe social distancing. Businesses just need to make an account and provide their customers with a "add customer portal" so they can join the line from the safety of their computer or mobile devices. Business have a portal where they can manage their customers, see the order of the line, and add and delete customers.
How I built it
We built this with js, node.js, express, mongodb as a team collaborating on github
Challenges I ran into
GitHub and .git!
Working as a team
learning new concepts and tools
Login, logout, authentication, no sql databases, and how they are connected
Accomplishments that I'm proud of
We are proud to have finished our first hackathon!
Learning new tools, working together as a team, solving problems that we did not initially foresee
What I learned
I learned how to use gitHub with a remote team. Learning all the commands as well as communicating how to merge and approve pushes. I also learned how to use databases and servers. Also how to incorporate handlebars to view the website remotely.
What's next for uQueue
We are going to keep working on our skills and maybe come back to this project. We will also be hosting this through Heroku as a public site.
Built With
bootstrap
cndjs
css
express.js
html5
javascript
jquery
mongodb
mongoose
node.js
twilio
Try it out
github.com | uQueue | A digital queuing application for small businesses | ['Andrew Jung', 'J Moseley', 'Hae Ji Park'] | [] | ['bootstrap', 'cndjs', 'css', 'express.js', 'html5', 'javascript', 'jquery', 'mongodb', 'mongoose', 'node.js', 'twilio'] | 4 |
10,018 | https://devpost.com/software/beaverhacks2020 | We noticed that there was a demographic that was in need of memory games. The current market either condescends to their clients, or they charge a ridiculously large fee to use their product.
We offer free web based memory games to help people that have suffered from strokes rebuild their mental fortitude.
The four of us built this site using html, javascript, css. We serve the database and server through herokuapp.com.
Getting the database to run on the school servers was a huge challenge, so much so that we elected to forgo the schools servers and use a free public server.
We are proud of the amount of games, UI, art, and programming that we were able to accomplish in such a short time. The look and design of the site has come together in a clean and precise manner.
Apart from learning that aligning things in web dev is probably the hardest thing that a human can do, we learned how to better prepare, time wise, in the future. We learned the importance of getting a strong plan and good design from the get go, will help save time and frustration going forward.
The idea has been tossed around of continuing the site and making it a truly beneficial piece of software for people who are suffering with Aphasia.
VIDEO DEMO:
https://media.oregonstate.edu/media/1_7qola18y
Built With
css
html
javascript
Try it out
github.com
gentle-shore-56851.herokuapp.com | thinQ - Aphasia Memory Builder | Helping people with aphasia rebuild their cognitive abilities through fun memory games. | ['Aaron Thompson', 'Nicole Reynoldson', 'troyjholt Holt', 'Victoria Fisher'] | [] | ['css', 'html', 'javascript'] | 5 |
10,018 | https://devpost.com/software/learn-free-snzyp3 | Education Accessibility for all!
Inspiration
More and more people are turning to online learning due to the availability of quality online education, and current events have forced many families to take on greater responsibility in the schooling of their children. We wanted everyone to be able to have access to the best free resources that are available. We wanted to create a site that has many of the top-rated sites, plus many less well-known ones that people can search for and be able to access.
What it does
By adding links to websites into our database, the Learn Free website consolidates the free educational and library resources available on the web.
How I built it
We built a user-friendly website in Python using the Flask framework. We hosted our site on Heroku and connected a Postgres database.
Challenges I ran into
Connecting the database in Heroku was not trivial. We were also using a framework (Flask) that we had almost no experience with, so we were constantly learning and troubleshooting. Three of our group members had young children and taking part in a multi-day hackathon remotely was definitely a balancing act.
Accomplishments that I'm proud of
Being able to meet and overcome the challenges that we ran into, and having a final product that works and can even be grown and expanded in the future.
What I learned
We learned the basics of a new tool and gained experience in trying to connect a database to our project.
What's next for Learn Free
By adding more and more free resources, we hope to have a 'one place to go' site to search for all the best free education sites available. We hope to expand our search function to make it easy to narrow down exactly what you want.
Built With
heroku
openlibrary
postgresql
python/flask
Try it out
education-accessibility.herokuapp.com
github.com | Learn Free | Education accessibility for all, links to free resources and books for all ages in all subjects. | ['Maliha S', 'Jamie Mott', 'Kally Tang', 'Jennifer Banks'] | [] | ['heroku', 'openlibrary', 'postgresql', 'python/flask'] | 6 |
10,018 | https://devpost.com/software/cheer-me-up-bxmrvi | This is the homepage. We select one of the content and display it at the front
This is the explore page. This is where user can browse through some feeds
This is the search page. This is where the user can search for specific title. The duplicate content is for demo purposes only
This is the about page. It's about this website and us!
Inspiration
At first, we thought about how we want to build an app that can help people with depression or anxiety to feel less stressed. But given how things have been going lately and we figured that a lot of people like animals, we came up with the idea 'Cheer Me Up!' that will showcase stories and pictures of cute animals to help everyone feel less distressed.
What it does
Cheer Me Up! is a website that aims to uplift people by showcasing cute animals and their lives. We wanted to make a website that would help people with depression or anxiety to destress. Cheer Me Up! would remind people that, even with everything that is happening in the world, there is also some brightness.
How we built it
The web design and prototype are created with AdobeXD. The actual website is built with the framework, React.js.
Challenges we ran into
This is the first time our group worked with React.js. We have to spend the majority of our time figuring out how this technology actually works. Other times, we are struggling with the page styling and the interactive part but fortunately, we were able to come up with a solution.
Accomplishments that we are proud of
Although the website we have right now isn't quite what we had in mind, we are proud of how far we have gotten to making this website. We were able to work as a team, contribute ideas, and come up with implementations for many of the features.
What we learned
A lot of the technologies we used on this project are definitely new to us, but we feel more comfortable working with them after this experience. It also helps us strengthen our HTML, CSS, and JavaScript knowledge. We also improve our skills working as a team and within a time constraint.
What's next for Cheer Me Up!
There are still a lot of features we can implement in Cheer Me Up! to make it even more interactive. We didn't use a database to store information due to a lack of time. Other than that, we would also like to implement a login system and let the user upload their favorite images.
Built With
adobexd
node.js
react
Try it out
dam-good-hackers.herokuapp.com
github.com | Cheer Me Up! | A website that let people browse through a more cheerful content | ['Christina Oh', 'Wei Yu Tang'] | [] | ['adobexd', 'node.js', 'react'] | 7 |
10,018 | https://devpost.com/software/while_true_beaverhacks2020 | The Study Hub! -- BeaverHacks Summer 2020
About
The Study Hub is a website that allows users to create their own flashcards. These flashcards can then be sent to an Amazon Alexa, which will quiz the user out-loud.
Technologies & Tools
The webpage for creating flashcards was made with Node.js, React, and JS/HTML/CSS.
The Alexa Voice User Interaction (VUI) model and skill was created in the Alexa Developer Console.
We used Node.js to create the server that maps voice commands to Alexa responses.
The Study Hub Web UI was served publicly on an Apache Server with DNS supported by Amazon's Route 53.
Reverse proxying was to be handled by Apache Server as well (ran out of time to get this working).
The Alexa Skill was also hosted and ran on an express server (Node.js).
SSL Certificates were granted for the
https://alexa.tristanluther.com
domain by Let's Encrypt Certbot
Images
Website for creating flashcards
Alexa Developer Console
AWS Lambda Function, where we initially developed the handler functions
Apache Web Server Config
What We Learned
It was our first time making new Amazon Alexa skills. We learned how to create a skill, an invocation, and intents that form a model Alexa can use to interact with a user via speech commands. We also learned how to create handlers for mapping user voice commands to Alexa responses. This was the first time our team had set-up a subdomain as well with the alexa subdomain and the first time experimenting with reverse proxies.
Future Improvements
If we had more time to work on this project, we'd like to add the ability to make more than just 5 flashcards. Also given more time we could have worked out issues with the reverse proxies on the server which would have made our project publicly accessable.
Built With
alexa
amazon-alexa
amazon-web-services
css
html
javascript
react
Try it out
github.com | The Study Hub | The Study Hub is a website that allows users to create their own flashcards. These flashcards can then be sent to an Amazon Alexa, which will quiz the user out-loud. | ['Jett Seale', 'Anita Ruangrotsakun', 'Tristan Luther'] | [] | ['alexa', 'amazon-alexa', 'amazon-web-services', 'css', 'html', 'javascript', 'react'] | 8 |
10,018 | https://devpost.com/software/colora11y | Approximately 8 percent of the population are color blind. Our goal is to create a web app that tests if a combination of colors is color-blind friendly or if they will present conflicting colors. You can enter your color palette via hex color codes to receive possible conflicting colors. You can also enter the link to any website, and our app will retrieve the 10 most common colors that appear on that website, and return any possible conflicting colors.
Colora11y is a web app aimed at those without colorblindness, to help further understand how the choices we make regarding color combinations and design impact those with colorblindness. A user can choose their colors either via the color picker inputs, or by pasting a valid hex color code. They can also test an actively deployed website, and our app will fetch a screenshot of it, determine the top 10 most dominant colors, and test those. Our app is built on NodeJs and a very simple Express server for the backend, and simple vanilla JS, html, and css for the front end. The front end posts the user input colors to a specific route, and posts the link to another specific route.
In a nutshell, the color codes are transformed to the colors that a user with certain types of colorblindness would see, and those new colors are compared against the originals. Any colors that produce a high ratio mean information will be lost to the user with colorblindness, and such colors are marked and returned to the front end for display. A major initial challenge was figuring out how to convert the colors. Luckily, there exists an npm package called color-blind that does just that. Another major challenge was quantifying the differences between colors. Again, luckily, there exists an npm package called chroma.js that has the DeltaE color difference algorithm built in. One last major challenge was deploying the app. We used puppeteer to fetch the screenshot of the webpage, and puppeteer required some additional apt packages that Heroku does not initially supply. To fix this, we learned a lot about complex Heroku deploys with different build packs. We were able to find a build pack specifically for puppeteer, which automatically installs the needed apt packages.
If we had more time, we would’ve liked to add functionality that allows the user to see how users with certain types of colorblindness see the conflicting colors, rather than showing just the conflicting colors, to allow for a little more insight for those without colorblindness. This is more of a matter of just implementing it, as the features and data are all in place to make this work. Additionally, we would’ve liked to add functionality that suggest some alternative colors. This will take some additional thought on how to lay out the groundwork.
**Note about our video demonstration: the screen recording software did not record the additional pop up menu for the HTML color input
Built With
chroma.js
color-blind
css3
express.js
html5
javascript
node.js
Try it out
colora11y.herokuapp.com
github.com | Colora11y | Our goal is to create a web app that tests if a combination of colors is color-blind friendly. You can enter hex color codes to receive possible conflicting colors or enter the link to any website. | ['Keith Marble', 'Luwey Ny Hon', 'Yujun Liu'] | [] | ['chroma.js', 'color-blind', 'css3', 'express.js', 'html5', 'javascript', 'node.js'] | 9 |
10,018 | https://devpost.com/software/travelaid-osuhackathon | Home Page
Displaying COVID-19 information and travel restrictions for US
TravelAid-OSUHackathon
Team: Git Em
With COVID-19 restricting travel in many countries, it’s difficult to decide if or where to travel this summer. Most countries are slowly opening their borders with different rules about travel.
TravelAid is a web app where you can find all the most recent travel information and restrictions for each country in one place as well as the cheapest flight and pricing from your location to the country of your choice.
TravelAid gathers data daily that is provided in a CSV file from The Humanitarian Data Exchange (data.humdata.org). Users can select a country from a drop down menu and our client-side sends a request to our server-side app for the country's travel restrictions and COVID-19 rules in place. After that the user can choose to search flights by selecting any airport code from and origin dropdown and the destination dropdown is limited to the airport codes in the country that they have selected. Another request is sent to our server-side which sends a request to the flights API we used called Amadeus. We then query a file with all the airports to obtain the airport codes for each country. In order to get the airline name from the airline code, we send a request to another Amadeus API as well. The user can then view the cheapest flight from the origin to the destination of their choice.
None of our group members had used flask before so this proved to be a great opportunity to learn a new web framework.
Some challenges we faced included:
Using GitHub to work together on the same files but after the initial struggle we were successful
Getting country restrictions information to update automatically from a CSV file daily
Displaying flights with multiple connections
The flight API we used is a bit slow to display results
Error handling was challenging, we tried to be comprehensive though
If we had more time we would make the flight search more comprehensive. It would display more results and theoretically the user would be able to filter the search by class, price, duration, stops, etc.
GitHub:
https://github.com/Harmony222/TravelAid-OSUHackathon
Test out our app live on Heroku!
https://travelaidapp.herokuapp.com/home
Built With
amadeus
bootstrap
css
flask
heroku
html
javascript
json
python
Try it out
travelaidapp.herokuapp.com | TravelAid | Helping people plan travel during COVID-19 by providing one place to check most recent travel restrictions by country and search for cheapest flight. | ['Angela Dimon', 'Harmony Scarlet', 'Diane Nguyen'] | [] | ['amadeus', 'bootstrap', 'css', 'flask', 'heroku', 'html', 'javascript', 'json', 'python'] | 10 |
10,018 | https://devpost.com/software/braille-converter | Hello World!
Long text pg 1
Custom style
Long text pg 2
Inspiration
Making braille is hard- it requires specialized stamping equipment or expensive machines. This program aims to make creating braille quick and easy.
What it does
The program converts input text or a file into printable images with translated braille. You can configure page size, font size, spacing, margins, colors, make it mirrored, and more. To make braille, convert text and print the image. Then create indentations on the markings using a blunt point. The resulting paper should have indentations that are readable.
How I built it
The program has 2 classes: a Paper class and a Character class. The Paper class is used to create pages. Th Character class is used to communicate info to be displayed on each page. It translates input using a dictionary of 6-digit binaries.
Challenges I ran into
It was hard to get the braille to display correctly in the right locations, especially when using hundreds of characters. Creating multiple pages was also difficult, as well as making the characters follow the rules of braille, such as capitalization and numbers.
What's next for Braille Converter
It currently only translates using a few basic rules. It doesn't translate common words into braille abbreviations, which would be the next step to making it be a better translator.
Built With
pillow
python
Try it out
github.com
repl.it | Braille Converter | A program to convert text to printable braille. | ['Edward Wei', 'christofjs Schoenborn', 'Darian Wicaksana Setyawan'] | [] | ['pillow', 'python'] | 11 |
10,019 | https://devpost.com/software/binresponsible | Binresponsible
Challenge
Inspiration
From Parma and Paris, we have noticed one common challenge: gloves and masks ending up on the streets.
What it does
We have thought of a specific bin for personal protective equipment on the streets.
Our first way to raise awareness about this new challenge is to communicate directly with our citizens.
On the bin, you will find a huge sticker on it with a message: protect your Planet to protect Yourself.
Our second way to raise awareness is to encourage people to use those bins and to make it fun.
How I built it
We want to use an existing bin from Parma to make the solution more feasible. The bin can only be opened with your foot, so you do not have to use your hands. The bin has two wheels so we can move it to different place.
We’ll have other slogan stickers. Then, you will see our logo Binresponsible and our #challenge with social media. We have thought of #par2change or #par2action.
We will build partnership with different social media such as Facebook, Tik tok and Instagram. We want to launch a #challenge.
Challenges I ran into
We faced challenges about the recycling part. It was also challenging to find a feasible solution about the bin.
Accomplishments that I'm proud of
We're proud about our solution because we can implement it easily and scale it up fast.
What I learned
We learned about reclycling, collecting and interesting partnerships.
What's next for Binresponsible
It will be to integrate the recycle part of the project and to scale it up to other city and country. | Binresponsible | Our solution is a specific bin for citizen to stop throwing masks and gloves on the street. We planned an advocacy campaign to encourage people to "Binresponsible". | ['Maureen Jacovella'] | [] | [] | 0 |
10,019 | https://devpost.com/software/team-54-one-map-one-tap | Climathon 2020, Urban Environment | TEAM 54 - One Map One Tap | Revolutionising your commute | ['Sélène Ledain'] | [] | [] | 1 |
10,019 | https://devpost.com/software/neocoop-q0wmcj | Team 35 is brainstorming
This cooperative is based on two major findings.
The first is the lack of agility of our distribution network during the crisis. This deficiency led us to numerous shortages, even though we never really ran out of any product.
The second observation is the importance of the waste produced by the packaging of the distribution channels.
A second idea emmerged, which was to create in the heart of our cities, at our doorstep, areas where consumer and producers would work together. Where raw materials such as wheat or olives will be processed directly, thus eliminating the entire distribution chain and reducing the waste and emissions of current channels.
One of the main challenge was to make those cooperatives attractive to consumers. That is why NeoCoop' includes a sports hall open to the public and entirely free of charge. Its equipment enables the generation of electricity which will then be redistributed to mills and other processing machines. | Neocoop | NeoCoop' is a solution to provide flexible (even in time of crisis) and fair sells for farmers thanks to an attractive cooperative food store that involve consumers. | ['Lft Alice', 'Bruno ROCHE', 'François Ingold', 'Edwige Dufrechou', 'lucas boutar'] | [] | [] | 2 |
10,019 | https://devpost.com/software/deleteobsolete-team3-yeseuropechallenge | Inspiration
Taking care of people around us, tackling challenges raised up by corona
What it does
How I built it
Challenges I ran into
Working remotely
Accomplishments that I'm proud of
Efficiency and good team work
What I learned
Business creation, video editing, sustainable alternatives
What's next for DeleteObsolete-team3-YESEuropeChallenge
Try it out
climathon-yes-europe.slack.com | DeleteObsolete-team3-YESEuropeChallenge | Delete Obsolete is a Web App solution helping consumers chosing the right smartphone | ['NELLY SAGAR', 'Francesco Varoli', 'Stefano Nebiolo'] | [] | [] | 3 |
10,019 | https://devpost.com/software/divearthcity | Connecting people looking for holiday agricultural experiences and of organic farmers who need temporary workforce through a platform which results in a more sustainable food supply chain and tourism. Our commitment is about social, environmental and economical impact ! | DivEarthCity | AgriWork & AgriHols connecting farmers and holiday maker underpinning a more sustainable food supply chain and tourism | ['Dominique Martin', 'Vainui DIROU', 'Carolyn Brand'] | [] | [] | 4 |
10,019 | https://devpost.com/software/f-d | Climathon was an amazing experience. We met extroardinary people, shared ideas and learned many things.
Built With
miro | Food | Grow your own food | ['Camille Legeron', 'Axel NICOLAS', 'Ilia Fedorov'] | [] | ['miro'] | 5 |
10,019 | https://devpost.com/software/underdogs | Coronavirus is having a major negative impact on public transport systems all over the World. Key to achieve our sustainable development goal, it is a priority to enhance public transport services to rebuild the trust of the citizens to avoid a major increase in emissions in urban centres.
By analysing public transportation data, specifically starting from occupancy rate, cleaning practises and spatial information about the public fleet, we provide an accessible way to citizens to plan their urban trips with public transport without compromising their health.
From improving customer experience, we will then focus to improve the public transport fleet efficiency by allowing companies to reduce their operational costs and increase economic performance while delivering improved services.
We aim to start with Milan, one of the cities most affected by the current crisis, and implement our solution mainly focused on enhancing the citizens' experience of taking a bus, a tram or the metro. Once successfully implemented, we will move our attention to other Italian and European cities and then other major urban hubs all over the World.
(you can see our journey on MIRO in the link below)
Try it out
miro.com | UNDERDOGS | Professional mobility consulting firm helping public transportation companies with technical solutions, policy adaptation, and sustainable growth strategies to improve their customer satisfaction | ['Niccoló Primo'] | [] | [] | 6 |
10,019 | https://devpost.com/software/online-platform-and-application | Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Online platform and application
Motivation for impacting the group of little awareness, knowledge and concern for climate change and offer an appropriate concept for this group | Online platform and application | Online platform and application for education and civil awareness on climate change for young farmers | ['Pati P', 'Ce RAZA', 'mariya-taricyna'] | [] | [] | 7 |
10,019 | https://devpost.com/software/greenlight-wait-for-the-green | Logo
Example
Inspiration
We got inspired by the simple psychological mechanism of the traffic-light.
What it does
It turns on a green light when the electricity is mostly provided by renewable resources, to have a positive environmental impact.
How I built it
We built a 3D model which we turned into a paper prototype to test the ergonomics.
Furthermore, we have an app to inform the electricity consumer.
Challenges I ran into
We had to connect from different part of the world across time-spans, it wasn't easy but we managed. Plus, we had to choose the design properly.
Accomplishments that I'm proud of
We are proud of the simplicity of the idea but the tremendous impact that it could have, considering the contained costs as well.
What I learned
We learned that there isn't still an effective way to incentivize demand responsibility. Moreover, with a survey, we found out that people don't know about how the energy mix works, but they are committed to learning about
What's next for GreenLight - Wait for the green!
We are planning to build a prototype and sell it to top-tier energy supplier. The final goal is to reduce European carbon emissions as well as providing added value to our customers. Indeed, they can save up a lot for the implementation. | GreenLight - Wait for the green! | We want to empower the people to control their energy consumption. We want to raise awareness about energy mix and real time carbon emissions. | ['Lorenzo Barcarolo', 'Darlain Edeme'] | [] | [] | 8 |
10,019 | https://devpost.com/software/roofy-spread-your-energy | We spread our energy, Roofy spreads yours
Inspiration - passion for sustainability and sustainable energy
What it does - connects people through solar energy
How I built it - It is a non-profit energy Cooperative
Challenges I ran into - organizing the team remotely
Accomplishments that I'm proud of
What I learned - to teamwork remotely
What's next for Roofy - Spread your Energy | Roofy - Spread your Energy | The main focus of our project Roofy - a Solar Cooperative - is to bring citizens together by granting access to clean and affordable solar energy. | ['Sara Biscaia', 'Giovanni Blengini'] | [] | [] | 9 |
10,019 | https://devpost.com/software/ecopoints-hglony | Inspiration
We are aware of the huge impact of consumption patterns society has.
What it does
We try to reward responsible and sustainable shopping habits.
How I built it
Team ideation. Devolopment required for implementation.
Challenges I ran into
Very complex problem to address with an easy idea. Time.
Accomplishments that I'm proud of
Teamwork and accuracy of our solution
What I learned
What's next for Ecopoints
Try it out
drive.google.com | Ecopoints | Do you know your environmental impact when doing groceries? | ['Juan M Boned'] | [] | [] | 10 |
10,019 | https://devpost.com/software/revive-wd0sic | Application form draft design
Main Logo
We are REVIVE. Our projects aims at circular economy and operations between restaurants and farmers.
The project connects restaurants and farmers to establish relations locally regarding supply of products and waste management for fertilizers production.
The process will be done within a platform that connects both parties in order to create a win-win situation basing on the restaurant's and farmer's needs.
The main challenges were to bring such a big challenge as transition from linear to circular economy in one, simple solution.
We are proud to deliver a viable product of intercultural cooperation that will serve thousands of people.
What we learned is that being innovative takes a lot of motivation and struggle, but the idea that is created afterwards rewards all the people having been working on this.
The next step is described in a slide-deck - make the platform, invest in marketing and help to fight climate change within operation scheme fostering circular economy! | REVIVE | The project is based on connecting restaurant owners and farmers, having two streams - supply of the food produced in the region and the other is to produce fertilizers from restaurant-derived wastes. | ['Hubert Put', 'Lim Xiang Long', 'Lucrezia Gargano', 'Keyu Sumaria', 'ettoreselli'] | [] | [] | 11 |
10,019 | https://devpost.com/software/nevid20-team22 | N-EVID20
Inspiration
Covid-19
What it does
An App to Gamify Energy Conversation due to Increased Energy Consumption
How I built it
Android , ioS and Internet | nEvid20 Team22 | Network of Energy using Visulization in Digital App | ['Niranjan Thimmappa'] | [] | [] | 12 |
10,019 | https://devpost.com/software/howlocal | The Howlocal system uses blockchain technology to identify the origin and sustainability of the products on the farmers market. We propose to facilitate collaboration between an NGO and governmental sector. The NGO helps to bridge the digital gap for the farmers, manage data of the product and indicate sustainable local products with reusable signs with a QR code in the beginning of the day on the farmers market. So the customers can read the QR and know where their food came from and how it has been grown. There is a possibility for the customers to give feedback about the farmers and their product. The main data source is the EU agricultural data system, the block-chain gives traceability and transparency and avoids data security problems. Big companies like Walmart use this technology already. So blockchain technology now helps to make the corporations’ activity more reliable and transparent, as well as allows tracking the stages of production and thus guarantees the highest quality of products. The Howlocal makes transparent food traceability in the EU by using existing technology and democratizing it.
Built With
blockchain | Howlocal | The Howlocal system uses block-chain technology to identify origin and sustainability of the products on the farmers market | ['Gabija Pamerneckyte', 'Paritosh Karnatak', 'Gábor Vágó'] | [] | ['blockchain'] | 13 |
10,019 | https://devpost.com/software/team-17-ez-ev | Inspiration
Tackling electrification, renewable intermittency and community needs all at once! | Team 17 - EZ EV | Electrifying transport through renewable-powered ridesharing. | ['Romain Gitton-Riviere'] | [] | [] | 14 |
10,019 | https://devpost.com/software/circular-community | The Covid crisis has been devastating for a lot of people. So this is our solution to fight the crisis and help the local communities grow.
In 2020 we can state that the most wanted product is information. Strong local supply chains can be built if there is enough information.
People go to mass market and big retailers because they are well-known (read: well-advertised). Local businesses suffer from the lack of clients. With the usage of Internet on a daily basis it’s not better: people see what is promoted, and small businesses who do not have sufficient means for targeting remain unnoticed.
With the help of the strong communities it seems possible to create a network involving customers, local companies and regional state organisations. This network is profitable for all participants:
Customers get to know what is produced nearby. The delivery is faster, cheaper and more reliable.
Local businesses do not need to spend a fortune to be targeted at someone in the Internet. They know their clients and care about the quality of products and services.
State organizations like schools and shelters can be the base sources of income for local companies. Long-term contracts for food supply or for provision of services imply stable development and means for growing up and strengthening the network.
Another important effect from creating the community is building the trust. When you know from where your food comes from, you value it more. | Circular Community | Make local communities more sustainable and self sufficient | ['giorgiapulazza', 'Nilanshu Ghosh', 'marie-karelskaya', 'Patrícia dos Reis', 'Gayleg Zangmo'] | [] | [] | 15 |
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