hackathon_id int64 1.57k 23.4k | project_link stringlengths 30 96 | full_desc stringlengths 1 547k ⌀ | title stringlengths 1 60 ⌀ | brief_desc stringlengths 1 200 ⌀ | team_members stringlengths 2 870 | prize stringlengths 2 792 | tags stringlengths 2 4.47k | __index_level_0__ int64 0 695 |
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10,069 | 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'] | 4 |
10,069 | https://devpost.com/software/augmented-reality-related-to-covid-19 | Inspiration
As many of ethnic groups are facing lot issues where I had taken my family as an example in the fields of marketing,education.As I further researched ,I noticed many many users are facing such issues.So, i thought of making this application which depicts the usage of Augmented Reality.
What it does
This application can be used in marketing field to showcase or increase the brand of product based companies,in field of education where any millennial can understand the theory in an digital way,in the field of construction the user can repair his own product without consulting any technician by using this application.These all issues can be done by sitting in their comfort zones.
How I built it
This application is built by using the Unity platform and Vuforia for databases.
Challenges I ran into
i participated in THub,college hackathons,smart India Hackathons
Accomplishments that I'm proud of
Got selected into the round 1 of Thub and gained certificates for my work.
What I learned
To be more enough and how can a work be done.
What's next for Augmented Reality related to COVID-19
If this application of mine has more polished structure this can occupy some space in some social networking sites like Google,Facebook etc.
Built With
unity
vuforia
Try it out
drive.google.com | Augmented Reality related to COVID-19 | A base(Augmented Reality) for the users for accomplishing their daily duties in such pandemic situation. | ['Apoori Kaushik'] | [] | ['unity', 'vuforia'] | 5 |
10,072 | https://devpost.com/software/chat-near-free | Login Page
Mobile Mockups
Inspiration
In a time of slowly increasing government censorship on internet content, it's important to make advances on the true democratization of online data. One of the most important transactions that can occur between online users, resides in messaging services. We decided that a decentralized app would be the perfect way to achieve this goal, because of its ability for transactions to remain anonymous, and for the integrity of information to be properly vetted. This will also ensure that previous transactions cannot be overwritten, thus protecting previous messages. The creation of this app will help people preserve free speech, in places where it is threatened.
What it does
This decentralized messaging service can facilitate the anonymous communication between any two parties, in a way that ensures 100% confidence in the integrity of all messages sent.
How we built it
The login page was created with HTML, CSS, and Javascript. The login page is designed to redirect you to the appropriate page based on your Near login status. We followed the workshop conducted earlier in the hackathon and were able to put up a smart contract using Assembly, which allows a user to send a message to the network with authentication from the near protocol. We made use of near-api-js to set up the connection between the smart contract and the web app which we built using React js. We found the create-next-app to be a helpful starter boilerplate to make our web app. We hosted this functionality using Near on Digital Ocean and used GitHub hosting to host the whole Web app along with login.
Challenges we ran into
None of us had any experience with either Blockchain or the Near API. We had to read through content to understand the technology and come up with an effective use case and build it. We were able to find a fix to most of our errors, thanks to the really helpful mentors. We also found the near protocol documentation to be really helpful and we look forward to building DApps on a larger scale using the near protocol in the future!
Accomplishments that we're proud of
We had very limited time as we had to attend all the workshops, revisit them, and learn to build on a completely new platform. We are glad that we were able to build, run, host and put up a whole ready to use web app on Blockchain, and thus took our first step ahead into the decentralized future. In this process we learned a lot about near-API, Blockchain technology, and Assembly language, which we believe is also a great accomplishment.
What we learned
We were all newcomers to blockchain applications, so we were able to learn a lot from this experience. Coordinating with the team members virtually also was not easy as all of us were in different time zones and it was really tough to work on coding together. It was a great learning experience and we look forward to more such hackathons in the future.
What's next for ChatterBox
We have created mockups of a mobile version of our app, this expansion into mobile is a viable way for us to increase user reach and engagement. We are hoping for our app to become more widely adopted in places where the true integrity of internet data is being threatened. This will most likely be places of harsh government censorship (Russia, Iran, China, etc.). Although this may just be a proof of concept app, we think the concepts do have an increasingly more important real-world application.
Built With
css
html
javascript
near-api
react-js
Try it out
malaw97.github.io
github.com | ChatterBox | This decentralized messaging service can facilitate the anonymous communication between any two parties, in a way that ensures 100% confidence in the integrity of all messages sent. | ['Harshak krishnaa', 'Sai Rishvanth Katragadda', 'Matthew Law', 'anilson monteiro', 'Yuming Tsang'] | ['1st Place Cash Prize'] | ['css', 'html', 'javascript', 'near-api', 'react-js'] | 0 |
10,072 | https://devpost.com/software/uw-blockchain-hackathon-team-13 | UW-Blockchain-Hackathon (Team-13)
Table of Contents
About
Objective
Deployment
Website
Authors
Acknowledgements
About
Whenever we are buying a product, we always have concerns about whether the product is genuine or not. Counterfeiting has become a global problem. There are fake counterfeited items of the famous brands sold by manufacturers at a cheaper rate. And no one (including the company officials) can identify whether the particular product is fake or not.
Objective
FindTheFake is intended to use NEAR platform protocol for implementation of Smart-Contracts.
Deployment
Within our use of the NEAR API, we will utilize context to By using contracts, our product will be able to identify the authenticity of a given products upon the genesis of it’s initial distribution from it’s manufacturer.
Wesbite Link
####
FindTheFake
Authors
Jose Cantillo
Fairy Gandhi
Sean Lin
May
Mandy
Built With
blockchain
dockerfile
html
javascript
nearapi
typescript
Try it out
github.com | Find The Fake | The mission statement of our team is to learn about the fundamental mechanisms that power blockchain technology. | ['Chan-Hsiang (Sean) Lin', 'Mandy Zi', 'Fairy Gandhi', 'Jose Cantillo'] | ['Most innovative'] | ['blockchain', 'dockerfile', 'html', 'javascript', 'nearapi', 'typescript'] | 1 |
10,072 | https://devpost.com/software/blocksquid | BlockSquid
WebUI View
FlowRate Measurement
FlowRate Measurement
Chain
GIF
JS connection testing
GIF
WebUI
Inspiration
So the idea of building such a project came from the fact that how ruthless we humans are in consuming the resources provided to us by nature. One such important resource is
water
.
Water is being wasted and polluted so much, that it is happening at a rate that we never imagined. So we decided to build a project which monitors the water consumption, the cleanliness of the water being thrown out, etc. and charges accordingly.
And guess what?\
It record all this data on a blockchain, so it never alters once recorded!
What it does?
The project basically does the following things:
Take input from the camera, set on the flow of the water.
Analyze the flow rate of water in
cubic pixels/sec
and measure the volume consumed.
Accordingly measure the Performance Index, Flow Credits, etc.
Record all these value onto the blockchain so it's immutable.
Prevent any kind of
tampering
by water industries and
monitor
the water in efficient way and hence motivate them to follow the best practice and conserve water.
Based on the consumption, the credit will be distributed to the consumers, which will motivate and help them consume the water resources in efficient and non-destructing manner.
How we built it
The main function of real world observation is implemented through
OpenCV
using a camera.
The blockchain is completely built using Python.
This is how it works:
WatertypeDetermination.py
=> Add the path for cropped images of fresh water and waste water
WaterClassifier.py
=> Necessary functions to execute water quality and flow rate
blockchain.py
=> File to start mining block
blockchainv0.py
=> V0 of
blockchain.py
codetodetectflowrate.py
=> Press R to print selectedROI (while running the program) and some other variables code has all the explanation for the same
Challenges we ran into
Major challenges we faced:
Reading the real world data i.e.
hardware -> software
Writing the data to the blockchain accordingly by averaging out values.
Attempts to implement NEAR API :-(
Accomplishments that we're proud of
We're proud of the implementation that we did for writing the data from the hardware to the blockchain directly
What we learned
The major learning from this project is the blockchain aspect of it. Not only did we learn about blockchain itself as a whole, but we also learned how a singular blockchain can seamlessly integrate with the hardware and software as required.
What's next for BlockSquid
Further we would like to add more features such as an administrative dashboard, cost calculation and further improve the throughput calculation.
References
Blockchain Demo (https://github.com/anders94/blockchain-demo/)
Blockchain A-Z™
w3schools
Built With
bootstrap
css
flask
html
javascript
jquery
opencv
python
Try it out
github.com | BlockSquid | A Blockchain project that enables to monitor flow rate and water quality and then store it in a Block chain Network. | ['Pushkar Bharambe', 'Shivam Sahil', 'Aditi Tyagi'] | ['Best Pitch'] | ['bootstrap', 'css', 'flask', 'html', 'javascript', 'jquery', 'opencv', 'python'] | 2 |
10,072 | https://devpost.com/software/groupw3rk | Presentation
https://docs.google.com/presentation/d/1_o01lINoYk5RyaYxrFGlTifZ6s18vN12OLNDMcOOpP0/edit?usp=sharing
Inspiration
Suffering through group projects where most of the group does no work
What it does
It's a platform that streamlines the process of creating a smart contract between members of a group where money is staked on whether each member completes their agreed upon work
How I built it
Using NEAR technologies
Challenges I ran into
Lack of time and experience with the technologies needed
Accomplishments that I'm proud of
We didn't finish the front end but we were able to make a smart contract using NEAR technologies
What I learned
The wonderful applications of blockchain technology
What's next for groupw3rk
Implementing a complex system of arbiters with reputations that incentivize correct judgments and implementing solutions for possible attacks
Built With
near
Try it out
github.com
groupwork.sladuca.now.sh
docs.google.com | groupw3rk | Trustless Group Projects | ['Md Abedin', 'ritatzhang Zhang', 'AquilaeoPhoenixPrime La Duca'] | [] | ['near'] | 3 |
10,072 | https://devpost.com/software/diskspace-2-0 | Start the video broadcast or meeting
Your uploaded files and options to delete, open it public to IPFS Public Network
Meeting with peeps and saving it dynamically on the IPFS Network
Broadcast group Id
File downloaded from IPFS Network
What problem it solves:
Solves the problems related to traditional centralized storage like crashing in downtimes, speed of downloading and uploading and brings in great internal features never seen in any cloud storage system. Features involving sharing of data via QR code with end to end encryption makes this drive one of the most user friendly as everything is based on cloud to cloud transfer. The feature of Broadcasting will help many firms to make this app their only resource to communicate for meetings and also save those recordings safely on the drive. This feature of video broadcastings opens doors for many uses cases. The third feature that it provides is the power of sharing data publicly as this drive can also be used for social networking of data.
AND GUESS WHAT, THIS IS ALL DECENTRALIZED!!!!!!!!! And this is the only solution currently residing in the market!!!
How I built it
I have built it using IPFS for file storage, Android application using Java. Using flask as backend.
Challenges I ran into
Making everything work when integrating different sections like integrating AI compression with IPFS storage. Difficulties in terms of bringing in new and exciting features of RTC, QR Code file Transfer with end to end encryption. Currently testing the app as hostel DC++ storage and getting a huge lag as the app is currently running on the Development server. Making UI similar to any storage system. For providing flexibility to users we had to synchronize to the server with the android app with a minimal time lag.
Accomplishments that I'm proud of
As far as research, it is the only android app that provides data storage in a decentralized format.
What I learned
IPFS, Blockchain storage.
What's next for DiskSpace 2.0
We will be making the app more user friendly to deploy in the market. Currently the app can have a lot of features to be added. We will find possible usecases to build new features
Built With
android
android-studio
blockchain
encryption
flask
ipfs
rest
Try it out
github.com
drive.google.com
www.canva.com | DiskSpace 2.0 | Welcome to the world of the decentralized file storage system with more security and faster accessibility of your own data | ['Sarvesh Dubey', 'Prakash Saini'] | [] | ['android', 'android-studio', 'blockchain', 'encryption', 'flask', 'ipfs', 'rest'] | 4 |
10,072 | 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'] | 5 |
10,072 | https://devpost.com/software/near-card | NEAR-Card is a virtual money card integrated with NEAR Wallet.
Try it out
bitbucket.org | NEAR-Card | NEAR-Card is a virtual money card integrated with NEAR Wallet. | ['Warp Smith'] | [] | [] | 6 |
10,072 | https://devpost.com/software/virtual-health-checkup-modelling-of-coronavirus-technoband | Technoband
Software Modelling of Future conditions of CoronaVirus
Inspiration
Daily surge in cases, health conditions of citizens pushed me to work hard
What it does
It predicts the curve of future conditions of any country w.r.t. data set available
How I built it
I built it through software, that have been mentioned.
Challenges I ran into
Lots of challenges, but overcomes and got the results as expected
Accomplishments that I'm proud of
That I did something, which satisfies and help at least one citizen, then the chain will follow up.
What I learned
I learned new softwares, skills
What's next for Virtual Health Checkup|Modelling of CoronaVirus|Technoband
If got success, wanna make it open source.
Built With
arduino
c++
embedded
matlab
python
webex | Virtual Health Checkup|Modelling of CoronaVirus|Technoband | Future prediction with Virtual checkup online and Smart electronic band | ['Shreyansh Pagaria', 'Maor Mashiaxch'] | [] | ['arduino', 'c++', 'embedded', 'matlab', 'python', 'webex'] | 7 |
10,072 | 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'] | 8 |
10,072 | https://devpost.com/software/reverse-image-search | Reverse image search
Inspiration
There were a lot site providing this tool.But my real inspiration was Small Seo Tools.
What it does
It provide range of online tools free of cost.
How I built it
I went through different sites.Then came up with new idea.
Challenges I ran into
There was a lot of competition.
Accomplishments that I'm proud of
I have done everything on my own
What I learned
How to do SEO.
What's next for Reverse image search
Please visit our site.
Built With
json
Try it out
www.reverseimagesearch.org | Reverse image search | Reverse Image Search. 8.6K likes. Reverse Image Search. Search by image or it's source otherwise lookup for similar images with the help of our Best free... | ['anna james'] | [] | ['json'] | 9 |
10,078 | https://devpost.com/software/covidprob | Homepage
Low Risk Score
Moderate Risk Score
High Risk Score
Inspiration
COVID 19 was discovered in December, last year in Wuhan. It has already been
months but no vaccine or drug to fight against COVID-19 has been discovered. In these tough times, if we can even detect the disease beforehand, it could help a person contact the medical officials in time and diagnose and get treated in time.
What it does
It gives you an estimate of the probability of how much is a person infected with COVID-19. The parameters for the prediction is the list of symptoms.
How we built it
Technology Stack
Front-end
1. HTML
2. MaterializeCSS
3. JavaScript
Back-end
1. Django web framework
**UI-Kit**
* Figma
Challenges we ran into
Gathering the dataset according to symptoms was the toughest part. As the raw dataset which we obtained had to be cleaned, we had to deal with missing data, too.
Accomplishments that we're proud of
Building this web app in a short amount of time really made learnt a lot of things.
What we learned
How to use various algorithms of Scikit-learn library.
Getting hands-on with the Django framework.
What's next for COVIDprob
To gather more data to increase the accuracy of our model
Built for the Innovative Website 2020 Competition.
This website was built by Sagar Banik and Sumit Banik
Built With
django
figma
materialize-css
scikit-learn
Try it out
covidpred.herokuapp.com
github.com | COVIDprob | COVIDprob is an early detection tool to get infected with COVID-19 using the symptoms as listed by World Health Organization (WHO). | ['Sumit Banik', 'Sagar Banik'] | ['Most Innovative Website'] | ['django', 'figma', 'materialize-css', 'scikit-learn'] | 0 |
10,078 | https://devpost.com/software/hm-burger-website-design | Logo
Main Home screen
Our Story Page
Menu Section
Gallary
Reviews section
HM Burger is simply a restaurant website with sleek UI and interactions. I have built it up to sharpen my design skills during this Covid19 pandemic lockdown.
What I learned
Mostly made use of
flexbox
and improved my skills in that
learned bootstrap, AOS, animate.css to make the transitions look amazing.
Made it completely responsive so it also looks amazing in smaller devices
Built With
animate.cc
aos
bootstrap
css
html
javascript
Try it out
harshmauny.github.io
github.com | HM Burger Website Design | sleek restaurant website design | ['Harsh Mauny'] | ['Most Attractive Website'] | ['animate.cc', 'aos', 'bootstrap', 'css', 'html', 'javascript'] | 1 |
10,078 | https://devpost.com/software/built-for-the-innovative-website-2020-competition | Inspiration
Inspiration was basically to keep it simple and clean. Clattering things would lead to complex packages and use of APIs and other similar such stuff which I tried to avoid.
What it does
It is a basic static website. it doesn't do anything as such. Just a simple portfolio to give insight into my life.
How I built it
I built it using purely HTML5 and Tailwind CSS.
Challenges I ran into
Time constraint was the biggest challenge. In the furry that I don't miss the deadline by any chance, I built it in just 4 hours.
Accomplishments that I'm proud of
Well, nothing as of such but recently organized a web-a-thon by CSI-MVSR I achieved the second runner up position.
What I learned
Time management and building quick beautiful simple designs in short period of time.
What's next for Built for the Innovative Website 2020 Competition
The site is completely responsive. So I think that I might participate more in similar kinds of events in the future.
Built With
html
tailwindcss
Try it out
github.com | Built for the Innovative Website 2020 Competition | I saw about the project like 4 hours back and hurried to make the website in the hope that I don't miss the deadline. Hope the judges will like the project. | ['Rishav Visen'] | [] | ['html', 'tailwindcss'] | 2 |
10,078 | https://devpost.com/software/learnvisor | INSPIRATION
Across all schools in the United States, the average counselor to student ratio is a striking 1 to 464 (
schoolcounselors.org
). With there not being enough counselors to accommodate for the large number of students at each school, it is common for high school students to have trouble receiving assistance from their school counselors. As high school students ourselves, this phenomenon is something we’ve directly experienced a multitude of times. Not only that, the recent COVID-19 pandemic has only served to exacerbate the situation as physical meetups and conversations become impossible. To combat this problem, our team developed Learnvisor, a website that provides counseling services and other assistance to high school students.
WHAT IT DOES
Learnvisor was created to assist high schoolers plan ahead for the future, serving a role similar to that of a counselor. It has an abundance of helpful features, such as a course guidance tool, an email drafter, and a calendar students can add to their own Gmail account. The course guidance tool takes in a student’s course history and returns feedback by recommending possible courses to take next and suggesting viable college tracks. It does this through an algorithm based on two factors: the student’s academic preferences and performance. On the other hand, the email drafter feature generates formal emails addressed to counselors regarding transcripts, schedule modifications, letters of recommendation, and more to streamline emailing for students. Lastly, Learnvisor also offers numerous valuable resources along with a calendar in a centralized location to aid students in the grueling college application process.
HOW WE BUILT IT
Our goal was to make Learnvisor accessible to all high school students at any given moment in time. For this reason, we made Learnvisor a website, so it would be available to anyone with an Internet connection. To code our website, we used the platform Repl.it, which enabled us to work simultaneously on one project. As for Learnvisor itself, the basic structure of our webpage was created with HTML, whereas the interactive features of Learnvisor, such as the email drafter, were accomplished with JavaScript. Lastly, in order to make our website visually appealing to its users, our team used Bootstrap and CSS for layout, colors, fonts, and formatting.
CHALLENGES WE FACED
While developing Learnvisor, we ran into two major challenges: incorporating Bootstrap and producing the interactive portions of the website. Due to our limited experience with Bootstrap and the given time restraint, we were unable to implement as many design elements as we had initially planned. The course guidance tool and email drafter were especially challenging to format due to the sheer number of elements on one page. These two features of our website were not only difficult to format, but were arduous to create as well. Our lack of familiarity with JavaScript merely added on to the plethora of issues we encountered, not to mention our increasing frustration. Another challenge was accommodating for the widely varying schedules of each team member. Each member was available at different times, which presented a large obstacle to collaboration.
ACCOMPLISHMENTS WE’RE PROUD OF
We set our vision on developing a solution for a common problem high schoolers like us encounter on a regular basis. Our main accomplishment was achieving this vision through the successful completion of our website. Other than that, we all take pride in the fact that we were able to persist through the various difficulties that arose throughout the development of our website, and are proud of our growth in web development. The skills we learned along the way will undeniably be incredibly helpful when creating another website in the future.
WHAT WE LEARNED
We learned to use Bootstrap for the very first time during this hackathon. This included importing the Bootstrap CDN, understanding Bootstrap’s grid system, and utilizing Bootstrap’s CSS classes in conjunction with our own CSS code to style the frontend of our website. Not only that, we also improved upon our previous knowledge of JavaScript. A great amount of JavaScript code was required in order to implement key features into our website, and since we were inexperienced with the language, we had to work under pressure to rapidly build upon our JavaScript skills.
WHAT’S NEXT FOR LEARNVISOR
We’re quite proud of all we were able to accomplish in the short amount of time allocated, but we believe that Learnvisor can be improved in various ways. For instance, an account system that automatically saves the courses inputted and continually provides feedback over time would greatly enhance the user experience. Another feature we had in mind building upon the personal accounts was a discussion board forum, where users would be able to interact with other students from their school and receive direct advice from upperclassmen. Overall, we hope to continue updating and maintaining this project so it can truly make a difference for struggling high schoolers.
Built With
bootstrap
css
html
javascript
repl.it
Try it out
github.com
lykimchee.github.io | Learnvisor | Planning your future in High School is difficult. That’s why we’re here to help. | ['Hannah Jang', 'Rhea Jethvani'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'repl.it'] | 3 |
10,078 | 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'] | 4 |
10,078 | https://devpost.com/software/blockchains-intelligence-cryptocurency | Inspiration
Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Blockchains Intelligence Cryptocurency
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Blockchains Intelligence Cryptocurency
Built With
jpdevc
libra
move | Blockchains Intelligence Cryptocurency | Have Get knowledge about Libra Blockchains who we deserved an chains as Encrypted and PEER TO PEER DECENTRALIZED WORLDWIDE | ['Business JP DEVC'] | [] | ['jpdevc', 'libra', 'move'] | 5 |
10,078 | https://devpost.com/software/corviz-a-webapp-for-analysis-covid-19-data-across-countries | Inspiration
It is often said Knowledge is Power.
CorViz is an attempt to empower the common people about the current state of the pandemic.
This is important as there is plenty of fake news floating around to confuse the masses.
What it does
It is a webapp which displays COVID-19 data across several countries and allows for users to compare and analyse the current state of the pandemic
How I built it
The mobile-responsive front-end is build using HTML, CSS, Javascript. The charts are drawn with the help of Google Charts JS library that I used. The back end was made using django and was hosted on heroku.
Built With
bootstrap
css
django
heroku
html
javascript
python
Try it out
corviz.herokuapp.com
github.com | CorViz :A webapp for analysis COVID-19 data across countries | CorViz is an attempt to empower the common people about the current state of the pandemic by providing them reliant visualisations and comparisons in form of a mobile-responsive web app. | ['Anant Dev'] | [] | ['bootstrap', 'css', 'django', 'heroku', 'html', 'javascript', 'python'] | 6 |
10,078 | https://devpost.com/software/video-4ozqi9 | Bikin video buat hibur orang-orang | Video | Bikin video | ['Wandi Alexander'] | [] | [] | 7 |
10,078 | https://devpost.com/software/books | 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 Books
interactive site between readers
Built With
mysql
php
Try it out
freedevelopp.com | Books | interactive site between readers | ['ait alla Lahcen'] | [] | ['mysql', 'php'] | 8 |
10,078 | 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'] | 9 |
10,079 | https://devpost.com/software/sigmahacks2-0-kawach | app logo
COVID API
shop portal
realtime update
data encryption
gmap api
AR Experience
GIF
kawach AR
Firebase
SigmaHacks2.0-Kawach
Greetings from
Team Kawach
,
We are very delighted to present our idea in
SigmaHacks 2.0
, hope you like it. Our idea Kawach, an
android/iOS
app that can act as a shield in this Pandemic and even post-pandemic situation.
Our app focusses on easing out the pandemic’s issue, i.e, promoting social distancing, give an update to everyone with their surroundings, providing Augmented Reality(AR) immersive experience in order to avoid contact. Moreover, the app will also help the authorities to trace the COVID spread. Our app requires basic permissions like Bluetooth, device location to work to its maximum potential. The camera permission will also provide users with enhanced AR experience to maintain social distancing while they go out.
First of all, let’s dive into KawachAR powered by echoAR SDK to provide a more immersive experience to the user to visually show them the boundaries needed to maintain social distancing. We have also implemented ground plane detection to have your own personal safe zone in the real world.
The Stores feature of our app helps in linking people with their nearby stores to help local businesses who have incurred losses in these times. So people can avoid contacts and queues. We can also keep track of the open/close status of our local stores and whether they provide home delivery or not.
Besides these features, our app is also of great help to the authorities who are concerned about the COVID spread in their region. The app detects any nearby Kawach user and stores their unique ID as an entry to the user’s collection in the Firebase database. In case someone tests positive, this will help in the contact tracing of the individuals and, a precautionary alert will be sent to all the nearby Kawach Users so that they could exercise maximum restraint.
In order to control the onslaught of misinformation, we have equipped the app with a COVID API which gives lives updates of COVID-19 cases both worldwide and country-wide.
The users can also give feedback, take a survey about his infection status, and edit their profiles as per their volition.The users will also be notified if they come near a COVID infected person. Furthermore, the user data will not be stored for more than 14 days which is the maximum time for symptoms to appear as per WHO guidelines.
Meet our team :
Deepak Chaturvedi
Github
Linkedin
Kartik Gupta
Github
Linkedin
Kushagra Goel
Github
Linkedin
Saurabh Chaudhary
Github
Linkedin
Tap the icon to watch our illustrative video:
Built With
android-studio
echoar
filmora
firebase
google-cloud
google-maps
java
unity
Try it out
github.com | KAWACH | Our app focuses on the pandemic’s issue, i.e, promoting social distancing, give an update to everyone with their surroundings, providing AR immersive experience while avoiding contact. | ['Kartik Gupta', 'saurabh chaudhary'] | ['Best Overall'] | ['android-studio', 'echoar', 'filmora', 'firebase', 'google-cloud', 'google-maps', 'java', 'unity'] | 0 |
10,079 | https://devpost.com/software/lets-donate | An app bulit for the community by the community
Inspiration
Since this pandemic begun, people have been suffering in some way or the other.There is lot of social and financial instability around us.As a social entrepreneur,me and my team even started distributing some food at initial phase but we weren't able to continue it for a long time due to financial constraints.So we came up with the idea of this
Lets-Donate
app which will be for the community and by the community.This app will help to bridge the gap between the helper and the needy.As we know due to restrictions not everyone is able to come out and help the needy.Thats why we created this app for people to help in some way or the other by sitting at their home also..
Even we have a transparent system in our app where people can keep a track of the donations and can contact the NGOs at any point of time.
Basically this app is motivated by the need to support our community in this crisis time and as we know together we can fight and defeat this pandemic.So lets join our hands and donate to support our community
What it does
This is secure and transparent donation app that supports and aligns with UN’s 17 Sustainable development goals. Basically user can choose the global goal they want to support and provide help in the form of Money, Clothes,Food or others. We have collaborated and registered few NGOs with our app who are working during this crisis. They’ll collect donated items from your doorstep
How I built it
This app is built using Flutter due to which it can be used both in android and ios.For the backend we used Firebase
Challenges I ran into
Creating connections with NGOs and collaboration issues. Creating the payment gateway and storing all the details of user and showing it in real time
Accomplishments that I'm proud of
I'm happy and proud that this app can create a huge difference in our community
What I learned
Teamwork with smartwork
What's next for Lets-Donate
Increasing its reach and collaboration with more NGOs
Built With
adobe-xd
firebase
flutter
Try it out
github.com
drive.google.com | Lets-Donate | Donation redefined- A secured and transparent donation app which supports and aligns with UN’s Sustainable Development Goals. | ['Ayush Choudhary', 'Shanu Mishra', 'Shubham Mehta', 'Ayush Choudhary'] | ['Best Community Hack'] | ['adobe-xd', 'firebase', 'flutter'] | 1 |
10,079 | https://devpost.com/software/med-detect | The home page of the Med Detect web application
The upload page, where users can fill out the information and upload an image of the red blood cell for disease diagnosis.
The portfolio page that contains a medical record of the patients, along with a csv download button.
The trends page, showing graphs and data visualization features for doctors to better care for their patients.
Chat feature for medical professionals to communicate with questions or to have discussions.
Inspiration
According to the WHO, malaria is among the top 10 deadliest diseases in low income nations, causing over 405,000 deaths worldwide in 2018 alone. The major cause of this is lack of infrastructure and human resource required to treat this disease. We believe that machine learning can be used to combat this global issue and improve the efficiency of the healthcare system, and reduce the dependence on human resources.
What it does
Med Detect is a machine learning automatic disease detection and user management system targetted towards hospitals and medical clinics, that enables them to instantly diagnose diseases such as malaria from blood samples, with a high accuracy. Our system collects basic information and an image, and then returns quick and accurate results. We use advanced machine learning algorithms to classify the user uploaded image into uninfected (normal) or parasitized (diagnosed with malaria), and then automatically generate a CSV medical report. We also have a patient data management system, as well as a data visualisation page, displaying various analytics regarding patients.
Med Detect significantly reduces the human resource and expertise required for diagnosing malaria and makes the entire system far more efficient and less prone to error. Med Detect would have a huge impact in rural areas in nations like India, where there is acute lack of qualified doctors to detect such diseases.
How we built it
Python flask for the web app and HTML/CSS/js templates for the front-end.
Flask socket-io for the forums page.
Keras with TensorFlow back-end for the image classification model.
Google Firebase for storing patient data.
Google charts for data visualization.
AWS for web hosting
Challenges we ran into
The first major challenge we ran into was getting good quality training data for the ML model. After hours of research, we were able to compile a dataset that allowed us to provide fast and accurate classifications. As it was our first time with firebase, we also struggled with integrating fire-base to store patient data. With minimal prior experience with chat functionalities, getting the forums page to work seamlessly with socket-io was another big challenge. Lastly, hosting web applications with data intensive ML models such as this one was a huge hurdle, which we tried our best to approach using Amazon Web Services.
Accomplishments that we're proud of
We are proud to have developed a relatively fast and efficient model to predict with over 90% accuracy on the test dataset. We are also proud to have learned firebase in a relatively short amount of time, and to have integrated it with a fully functional firebase database connected to our web app. Lastly, we are proud to have created a feature-rich web app and clean UI within the time constraint.
What we learned
We learned how to use tensorflow and keras for image classification. We also learned how to use web sockets and socket-io in order to create realtime chats through which multiple people can communicate from different windows. Lastly, we learned for the first time how to set up a firebase database and integrate it with a flask web-app.
What's next for Med Detect
We hope to develop a login system for specific hospitals to access their patients' data securely. We also want to male a more sophisticated forums page and data visualization page, to help provide more detailed analytics. We anticipate getting a domain name for the web app, as well as expanding to a mobile app. Lastly, we hope to experiment with more robust front-end frameworks such as React.
Built With
amazon-web-services
css
firebase
flask
html5
javascript
keras
python
socket.io
tensorflow
Try it out
github.com
medde.tech
45.79.199.42 | Med Detect | A machine learning disease detection and user management system for hospitals and medical clinics to instantly diagnose diseases such as malaria from blood samples, with high accuracy. | ['Veer Gadodia', 'Nand Vinchhi', 'Muntaser Syed'] | ['Best Health Hack'] | ['amazon-web-services', 'css', 'firebase', 'flask', 'html5', 'javascript', 'keras', 'python', 'socket.io', 'tensorflow'] | 2 |
10,079 | https://devpost.com/software/fairtest | main page
Why FairTest?
test room
account page
login page
during a test
get a warning due to cursor out of page
Inspiration
As university students, we noticed that when the education became online, exams and tests went hard to be monitored by school and unfair. Therefore, we create FairTest, an online testing platform to solve this problem.
Our project focus on productivity track and we believe that by providing a more fair and strict testing system will motivate the student to learn more actively online.
What it does
FairTest uses facial recognition to verify that the user in the camera is the one to be tested and uses cursor capture to help prevent cheating by getting help from external resources.
How I built it
Used Django as a full-stack development framework including user authentication, requests/response interactions, HTML templates rendering, database queries.
Integrated the web application with Python facial recognition application.
Used JS techniques to perform cursor capture.
Used Google cloud platform and VM instance D2 to host the application and DNS to link the IPV4
Challenges I ran into
The integration of python facial recognition and the web was a huge challenge.
Accomplishments that I'm proud of
We successfully implemented the dynamic camera display of facial recognition on the html page with real-time cheating detection.
The computer vision feature that is applied to our project is really cool!😎
What I learned
Integration of Django and JS.
Integration of Python facial recognition application and the web application.
What's next for FairTest
Due to time constraint, we were unable to finish all these tasks below, we will continually update our project in the following days after this hackathon event.
🙁
Database functionality updates.
Smoothier dynamic camera display of facial recognition on the html page.
Better-looking layout of html pages.
Unfinished deployment of the web to our domain: FairTest.tech
Team
Group Member
Role(s)
Contact Info
Sida Wang
Full-Stack Developer
wangs132@mcmaster.ca
Wei Liu
Full-Stack Developer
liuw0407@gmail.com
Deuce Cao
Front-end Developer
hq.cao1@gmail.com
Charles Zhang
Computer Vision Specialist
Zhans22@mcmaster.ca
Built With
bootstrap
css3
django
html5
javascript
jquery
numpy
opencv
python
Try it out
github.com
fairtest.tech | FairTest | Online testing platform helps monitoring schools/universities online tests/exams. | ['Sida Wang', 'Hongqing Cao', 'WEI LIU', 'Charles ZHANG'] | ['Best Productivity Hack'] | ['bootstrap', 'css3', 'django', 'html5', 'javascript', 'jquery', 'numpy', 'opencv', 'python'] | 3 |
10,079 | https://devpost.com/software/sigma-face-help | User flow
Inspiration
Problem
In the US, 80% of seniors suffer from at least one chronic condition. Seniors suffering from chronic illnesses required regular health check-in with their caregivers, however caregivers are unable to reach them due to the current pandemic. The vulnerable population including seniors are advised to self-isolated at home during the COVID-19 outbreak. They may feel lonely and isolated from their friends and family, leading to potential mental health struggles.
Solution
The idea is to connect seniors who are suffering from chronic illnesses to caregivers by offering a two-way health management platform. The platform collects accurate health data collection via wearable devices, AI chatbot, facial and speech recognition, analyses data using trained machine learning algorithms and presents the data in the form of data analytics dashboard to caregivers. So health monitoring for elderly will be easy, simple, effective and more importantly trouble-free.
Market research
During our initial market research, we discovered that the market is saturated with remote medical monitoring devices and care apps. Most of the apps are tailored to the general public and most of these devices functioned automatically, focusing solely on vitals. Some devices used geo tracking and others used AI to monitor motion and analyze device readings. But very few used any type of facial recognition software. We saw this opportunity and delved deeper into its possibilities.
Knowing already that we wanted to our target user to be elderly persons with chronic diseases, we shifted part of our focus towards how we could connect the two. Currently, medical facial recognition software is being used to map/ track patient, detect diseases during early childhood and read pain, specifically in babies.
For the purposes of our app, the facial recognition would primarily be used to map and track patients. But the plan is to establish a firm basis in facial recognition technology so that we will be on the forefront of the 'early disease recognition'. Modern medical knowledge allows for doctors to diagnose many issues based on things like moles, conjunctiva color, and skin color. It's only a matter of time until AI technology catches up.
The impact of our app will not only be felt in the elderly population of America, but also to all lower/ middle class families around the world that either can't afford healthcare or live in remote location where travel is time consuming.
But our app is not just about facial recognition and remote medical care, it's also about checking in with the patient on an emotional level. Research shows that depression is a common amongst the elderly. So we made sure to prompt our patients with a simple "Are you feeling down?" and follow it up with an option to talk to someone. This will in turn automatically notify the medical personal and prioritise contact with the individual. Research show's that a simple "Are you okay? Do you want to talk?" can be very impactful on both physical and mental health.
So although our MVP is currently focused around quarantined elderly persons with chronic illnesses, the potential beneficial impact that our app could have can easily stem globally to all classes, ages, and cultures.
What it does
We have built a proof-of-concept prototype with two interfaces - a specially designed interface with enlarged text and buttons for seniors, and another interface for caregivers to easily visualised the health conditions of their care recipients.
Senior (patient) interface:
Login
Report feelings
Report any identified symptoms
Take photo for analysis
Caregiver interface:
Login
Dashboard with patients' conditions & alerts for follow up
Detailed patient record & contact details
How we built it
We built the Progressive Web App using the .NET framework.
In order to implement the idea, it was necessary to create a robust back end to support information flow between the patient and the caregiver. Data structures were designed such that any caregivers have a list of patients with information such as their symptoms, medications, mood, and overall medical status. The most exciting part of the App to develop was the connection to the mood recognition API. This API allows the caregiver to view the patient's mood, weather, or not the patient is in pain, and even if the patient is tired. All of this information is made available to the front end through a Face object, which stores all of the mood information without the need to store the image and therefore avoiding any ethical concerns.
In order to leave room for growth. We ensured that all of the data and functions are accessible through a few simple function calls so that the App is implementable on many different platforms.
Challenges we ran into
We faced some challenges in front-end development using html and bootstrap, and only managed to develop 1.5 screens out of 11 main screens.
Accomplishments that we're proud of
We have completed the UI design, the proof-of-concept MVP and the whole back-end development for the app, which is fully functional.
What we learned
We learnt a lot on UX/UI design and mockup using Figma, video editing using screencastify and iMovie, calling APIs and html coding.
What's next for Tele-Love
Development of the progressive web app
Front-end development of both caregiver and senior interface
Development of chatbot to streamline user flow and allow voice-based interactions
User Testing
Training of machine learning models for facial recognition
Develop features to allow synchronisation to wearable devices (e.g. smart watch) for health data collection
Research and develop offline interfaces and data storage for persons living with limited internet access
Built With
.net
bootstrap
c#
figma
html
mood-recognition-api
Try it out
github.com
www.figma.com
www.figma.com | Tele-Love | Disrupting senior healthcare | ['YASH JAIN', 'Ava Chan', 'Baby Jessi Parker', 'DeForestt Thompson'] | ['Runner Up Community Hack'] | ['.net', 'bootstrap', 'c#', 'figma', 'html', 'mood-recognition-api'] | 4 |
10,079 | https://devpost.com/software/drfit-6hocwa | Opening screen on Watch
Flowchart
Logo
Inspiration
A potential challenge during the pandemic outbreak like COVID19 is overwhelming hospitals. Due to the increase in the number of COVID patients, doctors are giving less attention to a non-COVID patient. Right now, hospitals don't have the capacity for the large number of incoming patients. There is a need for a technology platform which is capable of remote-monitoring and allowing for the engagement of patients in their homes. The capabilities also facilitate communication between quarantined people and the healthcare service and maintain visibility of those recently discharged. This problem is what inspired us to make this user-friendly interface.
What it does
The DrFit platform offers an ideal way to monitor patients while they are in quarantine. The device hub include those that measure vital body temperature, heart rate, blood pressure, SPO2 level in the blood. The information of the vital signs will be updated via web to the doctors.
How we built it
We used the Google Cloud Platform along with Firebase for this project.
Firebase
User Authentication
Realtime Database
Store Vital Data and User Information
Store Information if the user is a Doctor
Cloud Functions
Other GCP
Google Maps API
Bootstrap HTML/CSS/JS
Bootstrap Framework
Use of JQuery
Use of SmartForm for Contact
Frontend Framework
GitHub
File Management
Hosting
Node Js
Firebase Modules
Alan - Alan is a Smart Assistant that we have built for users to ask simple questions.
You can ask it I have a Cough
and it will respond
Challenges we ran into
There were many challenges we ran into, but that's what programming's all about. One of the difficult challenges we ran into was making sure the UI worked. Another challenge was figuring out how to to extract information from the JSON file to the website.
Accomplishments that we're proud of
We are proud of so many things. We made use of this project to the best of our abilities in this 24 Hours of time. We got to use the Google Cloud Platform, which is a first for all of us, we had never used GCP before and now we will continue to use this platform. Additionally, we combined all of our skills to create a website that use multiple frameworks and we are proud of this website. We love the UI/UX and we love the Backend, it was our first time as well using these frameworks. Finally, we are proud of the amount of work we pulled of in 24 hours. We would have never thought we could accmplish this much in such a small amount of time.
What we learned
Creating realtime databases
Firebase
User Authentication
What's next for DrFit
Implement Google Assistant instead of Alan (Wider range of possibilites)
Create a Watch Application (Apple watch and Galaxy Watch) to have realtime data about Vitals
Implement more Google Cloud Features including Tensorflow AI for medical classification and image classificatin to find various conditions
Implement a TeleHealth API platform for virtual doctor visits
Implement Echo AR for human body modeling
Implement a Covid-19 screener questionaire for the workplace and schools
Built With
alan
bootstrap
css
firebase
github
google-cloud
google-maps
html
javascript
Try it out
mohinishteja.github.io
projects.invisionapp.com
github.com | DrFit | Empowering the non-COVID population | ['Mohinish Teja', 'RHEA S', 'Arnav Shah', 'Srikar Kusumanchi'] | ['Runner Up Productivity Hack'] | ['alan', 'bootstrap', 'css', 'firebase', 'github', 'google-cloud', 'google-maps', 'html', 'javascript'] | 5 |
10,079 | https://devpost.com/software/chatbot-chaos | Intro Title
Chatting
Win Screen
Submitting to the SigmaHacks Community Track
Inspiration
COVID-19 has made a large majority of society stay at home. Many people are now spending their entire day on electronic devices such as their computers and laptops for work, school, and entertainment. In an effort to combat the loneliness epidemic, our team wanted to create a game that promotes connectivity amongst the users. Chatbot Chaos is a fun and interactive game that allows for communication and fun for players all over the World Wide Web.
What it does
Chatbot Chaos is an online browser game that allows a user to chat with two real people and one chatbot, their mission: Pick out the player who is the chatbot!
When first starting the game, the user will land on the login page where they can input their desired username. After pressing submit, the user will then be transported into a new page with a chatroom with three other players: two of whom are real, and one who is the chatbot. From there on the players will talk amongst themselves in order to figure out who among them is truly a chatbot.
How we built it
We developed the game with
HTML, CSS,
and
JavaScript
. We used
repl.it
to collaborate online. For the animation on the landing page, we generated a background in
p5.js
. To allow for a connection between players, we created rooms in
Socket.io
. Once users join the room, they are assigned an ID that matches them to the voting system. We used the
InferKit API
to port the
GPT-2
natural language processing model into our chatbot to create realistic text generation. Our domain, chatbotchaos.space, was hosted on domain.com.
Challenges we ran into
One challenge we ran into was the animated background on the title screen. We originally had dots moving randomly, but we became more ambitious and decided to program rotating triangles, which posed more complications
Another challenge we had was implementing the API. There was confusion about the link in the fetch request as well as where to send the API key in the request, and we had a limited number of requests (around 100) before our free trial ran out.
Accomplishments that we're proud of
We’re proud of being able to implement the chatbot, and of being able to find an API that worked. Most other chatbot APIs are geared towards business, and we had to dig quite a lot to find the one we used. We are also proud of our socket.io room implementation, which not only allowed the users to communicate with each other but also with the chatbot itself.
What we learned
We learned how to create a messaging system where players around the world are able to connect over the internet. In learning how to use the InferKit API, we learned how to implement requests using Node.js, and how to use the API responses interactively within the chat room. Last but not least, we are proud of our background animation on the front page of the website.
What's next for Chatbot Chaos
In the future, our team would love to train multiple chatbots, giving each one a different personality. We could also add minigames with the chatbot. An example of one such game could include a chatroom with two players and a chatbot, in which both players receive a unique random word. In order to win, a player must get the chatbot to say their secret word before the other player can do so. Also, we might implement different levels, where the higher level you are the more sophisticated the chatbot's language becomes, and the harder it is to distinguish from human players.
Built With
css3
html5
inferkit-api
javascript
p5.js
replit
socket.io
Try it out
github.com
www.chatbotchaos.space | Chatbot Chaos | Human vs. Chatbot | ['Kevin Gauld', 'Ethan Horowitz', 'Jendy Ren', 'Michelle Bryson'] | ['MLH: Best Domain Registered with Domain.com'] | ['css3', 'html5', 'inferkit-api', 'javascript', 'p5.js', 'replit', 'socket.io'] | 6 |
10,079 | https://devpost.com/software/plasma-bank | dashboard
infographics
interactive infographics
dashboard youtube and twitter
ai-based-bot assistant-sigma
track amenities
forms
responses
parallax page
faqs in plasma bank
technologies
dark mode
about page with dark mode
Inspiration
COVID-19 has been on a rampage all across the globe since the past 5 months. From less than a million cases in February, and currently having more than 10 million cases across the globe. The good news is that doctors across the globe have been able to recover more than 5 million COVID patients, with a loss of less than half a million souls. These patients can help improve the recovery rate by donating their plasma. With a vaccine still a long way away, plasma therapy has been developed as an experimental cure for COVID. Plasma therapy has been helping a lot of families recover their loved ones from COVID. But since there are very few plasma donors currently, a lot of people who can be saved using this therapy are not getting the required treatment. The situation itself is a great inspiration to those willing to lend their helping hand in this difficult times.
What it does
The Plasma Bank is a small step towards solving the problem of finding eligible donors in a situation where time is of great essence. We sincerely hope you or your loved ones never have to go through this ordeal. But if you do, then we aspire to be able to help you by connecting you with volunteer donors.
Also, the project helps in tracking all the essential amenities that one would need on a regular basis equipped with a ranking algorithm that puts special emphasis on the situation and it's also equipped with a interactive dashboard which adjusts according to user's real-time location.
How we built it
We have used multiple API(s) throughout the project, which in combination with realtime Google Cloud's Firebase gives the user a flawless experience during the pandemic. We have combined multiple API(s) with geolocation services (Google Cloud Map API + Here Maps API) and realtime notification applications (PushBot) to provide extra flexibility to the user. Also, the project is equipped with an AI based bot - Assistant Sigma, made using IBM Watson.
Challenges we ran into
Issues connecting to the internet
API failure
Lack of time
Accomplishments that we're proud of
AI based bot - Assistant Sigma
Real-time Forms and Database + their sub-connections
Interactive Dashboard
Amenities Tracking
What we learned
Learnt a lot about APIs and Google Cloud services. Also, managed to brush our AI and web development skills.
What's next for Plasma Bank
We are planning to expand the project with hospital management and bed handling system, which would track real-time bed data of hospitals and their efficiency with services at any point of time.
Built With
bootstrap
css3
firebase
font-awesome
github
google-cloud
google-maps
here-maps
heroku
html5
ibm-watson
javascript
jquery
node.js
semantic-ui
sendgrid
Try it out
sigma-hacks.herokuapp.com
github.com | Plasma Bank | The Plasma Bank is a step towards solving the problem of finding eligible plasma donors in a situation where time is of great essence. We aspire to connect donors with COVID patients / those in need. | ['Prashant Jha', 'Barthwal Umang'] | ['MLH: Best Use of Google Cloud'] | ['bootstrap', 'css3', 'firebase', 'font-awesome', 'github', 'google-cloud', 'google-maps', 'here-maps', 'heroku', 'html5', 'ibm-watson', 'javascript', 'jquery', 'node.js', 'semantic-ui', 'sendgrid'] | 7 |
10,079 | https://devpost.com/software/do-ar | Login
Main Menu
Do it Yourself Activities
Helps you navigate various websites
Leader Board
Book Shelf DIY AR Tutorials
Website Navigation in AR
Website Navigation in AR Continued
EchoAR Dashboard
Inspiration
The Covid 19 pandemic has left people at home in Lockdown across various countries. This has made finding help for jobs like assembling furniture, repairing appliances, etc. very difficult. With work from home becoming the norm people had to start using websites which they were not familiar with, facing a lot of issues navigating them. We felt a need to address these issues and came up with
Do AR
, an application to not just provide tutorials to complete repairs, build stuff but also help navigating through websites easier.
What it does
The application helps one to become more independent in performing various task at home. Using Augmented Reality to make the entire process more enriching and easier to follow.
Do AR
has 3 main features:-
1)
DIY Helper
The DIY Helper guides users step by step in order to complete various activities like making a Book Shelf, repairing AC, etc. The steps are displayed in Augmented Reality to make the tutorials realistic and easy to follow. The progress through steps is recorded so a user can start the tutorial again from where they left.
2)
Webpage Navigator
The Webpage Navigator helps the user to navigate through popular websites. The feature makes use of custom image targets which are defined by the user. A drop-down box contains the various activities which can be performed, selecting an activity highlights the button which performs the same.
3)
Visualiser
The Visualiser provides various 3D models of objects (eg:- AC, hammer, etc) in exploded view with labels. This helps in identifying the various parts of an object.
There is also a
Leader Board
that keeps track of the progress made by various users in DIY Tasks. It helps motivate others to perform the same.
How I built it
1)
Unity3D with C#
- This served as the main layout and guided the workflow of the app. It was chosen one of the best tools out there for AR development.
2)
Firebase
- This served as the backend for our app for things like LoginAuth and Player Progress.
3)
WatsonSDK
- This served as our voiceover tool to create recorded audio and use voice commands making our job a lot simpler and not needing us to make a new voice recording for every thing.
4)
Blender
- The tool used to make all the 3D models, Labels and Animations.
5)
echoAR
- Our 3D Model storage online used for visualiser.
6)
Vuforia
- This was for AR support using Unity.
Challenges I ran into
1) As there were no pre-existing 3D animations of the DIY tutorials, we had to make the models and the animations from scratch by looking up the existing tutorials.
2) As the Webpage Navigator uses user defined image targets, calibrating them and adjusting their sensitivity was challenging as the quality of custom image targets are poor.
3) Adding voice control to our DIY tutorials was a challenge which was soved by using WatsonSDK to make speech to text.
4) We had to create labelled models from scratch for the visualiser.
5) Creating a Leaderboard required creating a DB to make it possible to track progress.
Accomplishments that I'm proud of
1) A completed login using Firebase.
2) A completed voice controlled DIY tutorial was created.
3) Completing a user defined AR Image Target for the WebPage Navigator
What I learned
1) How to add voice commands to unity.
2) Learned how to use echoAR for storing Models online.
3) Built AR app using Unity.
4) Using State Machines in Unity to and intermediate stages in animations.
What's next for Do AR
A tutorial marketplace can be introduced in the future to improve the quality, provide more and specialized tutorials for the users. A chatbot can be added to the tutorials to answer frequently asked questions.
Various websites, software, and different interfaces(such as ATM machine, etc) can be added to the navigator to increase its utility. Further this can be used by different companies as an alternated for the traditional manual booklet.
Built With
echoar
firebase
photoshop
unity
vuforia
Try it out
github.com | Do AR | Your augmented reality guide to learning new skills and being independent. | ['Abhijeet Swain', 'Wahib Kapdi', 'Akash Jha', 'Anshuman Singh'] | ['Best Use of echoAR'] | ['echoar', 'firebase', 'photoshop', 'unity', 'vuforia'] | 8 |
10,079 | https://devpost.com/software/logilivery | Inspiration
I've been thinking about how delivery services became essential to the survival of local food restaurants, but we still see local businesses shutting down on the news. I'm also an user of this services, and sometimes delivery costs 50% of what my meal cost, so I though that there could be a way to make delivery services more affordable and fair to all parts involved, and my conclusion was that a fair way to reduce it's price is by sharing with a neighbor. Since everybody is at home and trying to save money because of the uncertainty of the future, there could be a tradeoff of time and cost, where people prioritize a lower cost than a higher time of waiting so planning ahead for your meals wouldn't be a so unpleasant.
What it does
I'll tell what it is supposed to do...
It allows you to schedule orders and displays it to people near you, near enouh to not increase the delivery price too much and when your neighbors decide to join the order the delivery price decreases. You can also join other's deliveries that you find interesting. I also though that local restaurants are very beloved in their community and they could create a sort of patreon for their loyal costumers in the aplication.
How I built it
I started doing a react native aplication, but couldn't finish
Challenges I ran into
the time was kinda little, I also was very tired at the begginig, it was midnight in here. I wish there was more time to do the submission, I didn't knew I'd have so much to write in here.
Accomplishments that I'm proud of
Well, I'm proud to endure the entire process, I entered by myself on purpose because I don't feel a little intimidated to do the techinical part when there are people better than me, so I ended up learning a lot, I couldn't finish the way I wanted but, I think it was something to be proud for my level of skill.
What I learned
I learned that joining a group can be more effective even if you want to learn more by doing it all by yourself. That online hackatons are huge pportunity to meet new, incredible, super smart people and I would love to do it again, but next time with a group.
What's next for Logilivery
I intend to finish all functionalities and create a credit card to start exploring cloud computing.
Built With
css
html
javascript
Try it out
github.com | Logilivery | An app to schedule food delivery with people near you to reduce delivery services cost. | ['Isabella Kuo'] | [] | ['css', 'html', 'javascript'] | 9 |
10,079 | https://devpost.com/software/covid-toolkit | Inspiration
Due to the impact of covid19 on small business in our community, we wanted to make a toolbox to assist in the limited openings that are occurring.
What it does
We currently offer two tools: a face mask detection service and an audio transcriber for those that are hard of hearing.
How I built it
We used Django for our back-end, Google Cloud Platform for compute, and Bootstrap and jQuery for front-end.
Challenges I ran into
SSL verification and poor documentation of webrtc api.
Accomplishments that I'm proud of
Getting better at Django.
What I learned
SSL verification, full-stack web development, and Google Cloud Platform web service deployment.
What's next for covID Toolkit
Integrating audio transcriber with web interface, adding a web cam to detect if people are 6 feet apart, and curing covid19.
Stay tuned for the live version @
www.cov-id.tech
another demo video with real time update :
https://youtu.be/pElCXRbyIyI
Our track was community!
Built With
automl
css
django
gcp
google-storage
html
javascript
python
tensorflow
websockets
Try it out
github.com | covID Toolkit | Our goal is to provide useful tools to help small businesses during the pandemic. | ['Maximiliano Rios'] | [] | ['automl', 'css', 'django', 'gcp', 'google-storage', 'html', 'javascript', 'python', 'tensorflow', 'websockets'] | 10 |
10,079 | https://devpost.com/software/sigmahack-2-0-hackathon-solution | Sigmahacks 2.0
I always love hackathon. So when I hear the name of the hackathon I register and join my 3 friends in the hackathon.
This is actually a crowdfunding Fundraising Donation website. It is also an eCommerce website and also a news portal.
It will solve the three problems like Community problem, Health Problem, and Productivity problem. This is a non-profit fundraising website. We can collect fund from any people as well as sell the most necessary medicine to the customers by the websites. There is an emergency call service to the website. From this, we can call emergency services.
I create this website by PHP, Javascript, HTML, CSS, Bootstrap, and I use an MYSQL database for these websites. I use the WordPress CMS framework for this project.
I have faced so many challenges to create this solution. The first challenges I have faced is its a large project, So I need so many times to complete this project. I have a limited time only.
Moreover, The eCommerce part does not work properly firstly, and when I solve this, the donation part is not working. I have to fixxxxx all this problem, for a long time and I do not sleep in the last 24 hours.
And Finally, I run the project successfully. This Successful project makes me happy. I have learnt a lot from the hackathon. I want to go through in the next level of SigmaHacks 2.0 and want to participate more and more hackathon.
Built With
bootstrap
css3
html5
javascript
mysql
php
wordpress
Try it out
github.com | Sigmahack 2.0 hackathon Solution | This is actually a crowdfunding Fundraising Donation website.It is also an eCommerce website and also a news portal. | ['Hasan Mahmud', 'md hossain', 'Jannatul Ishrat', 'Mukit Sabbir'] | [] | ['bootstrap', 'css3', 'html5', 'javascript', 'mysql', 'php', 'wordpress'] | 11 |
10,079 | https://devpost.com/software/covid-helpbot | COVID-19 Helpbot
Our helpbot connects volunteers and people in need! Our bot is based in the Telegram application
Built With
Telebot
- The bot used
Panda
- To store our .csv files
Authors
Arch Jobsri
-
Initial work
-
Arch-J
Charles Li
-
Initial work
-
Quezard
Jacob Tan
-
Initial work
-
Jacob-Tan-16062
Andrew Li
-
Initial work
-
MCandrew42
Jinjun Liang
-
Mentor
-
kumkee
Built With
panda
python
telebot
Try it out
github.com | COVID-Helpbot | Our helpbot connects volunteers and people in need! Our bot is based in the Telegram application | ['Andrew Li', 'Jacob Tan', 'Charles Li'] | [] | ['panda', 'python', 'telebot'] | 12 |
10,079 | https://devpost.com/software/futureedu | Inspiration
During COVID times, millions of students don't have access to education. We want education to be accessible to 8 billion people. Be it a kid in a village in Africa, India, or the US.
What it does
Building the Future of Education. World's first multi-lingual education platform making education accessible to 8 billion people. You can play educational videos in multiple languages and learn the way you want.
How I built it
We built and used Video Language Translation using FutureAPI. Built the app in ReactJS, Redux, NodeJS, and PostgreSQL.
We used FREE videos from Khan Academy and translated the videos to 20+ languages on the platform.
Challenges I ran into
Building the product took some focussed time of ours. We had to fasten our seat belts. Some DevOps issues. Thankfully everything solved.
Accomplishments that I'm proud of
Achieving this was not an easy task. It took some time to get it to work. Especially getting the videos to run accurately.
What I learned
A lot! We have never learned in the education field. We got to know how much COVID has impacted kids. Kids are the future of the world, if they are deprived of education, you are ruining their future. We read a couple of research studies about this as well. Also, the first time ever with Redux. And the first time with a multi-cloud deployment. :)
What's next for FutureEdu
We are planning to tie-up with open education platforms like Khan Academy, edX by MIT, and almost every college/school to help their high-quality content reach 8 billion people. Language should never be a barrier for learning.
Built With
futureapi
google-cloud
heroku
node.js
postgresql
react
Try it out
futureedu.netlify.app
gitlab.com | FutureEdu - Future of Education | Building the Future of Education. World's first multi-lingual education platform making education accessible to 8 billion people. | ['Akash Nidhi P S', 'Satvik Jagannath'] | [] | ['futureapi', 'google-cloud', 'heroku', 'node.js', 'postgresql', 'react'] | 13 |
10,079 | https://devpost.com/software/help-others-covid | Inspiration
The Covid-19 pandemic has impacted everyone. Millions of people have been affected worldwide and it has definitely caused stress and commotion in all areas of the world. I decided to create a page using HTML & CSS that informs readers of the virus and what they could do to make lives better. The # of COVID cases pile up as each day goes by and the page I created informs readers of the helpful practices they could take on to lessen the issue.
What it does
𝐇𝐞𝐥𝐩 𝐚 𝐩𝐞𝐫𝐬𝐨𝐧 𝐨𝐮𝐭 informs readers of what they could do to possibly lessen the spread of the virus. In addition, it gives additional tips for having fun & staying safe as well as the effects of quarantine activities.
How I built it
𝐇𝐞𝐥𝐩 𝐚 𝐩𝐞𝐫𝐬𝐨𝐧 𝐨𝐮𝐭 was built using Repl.it, HTML, and CSS. I used HTML to add heading elements 1 & 2, background colour, and my 2 paragraphs of text. I used CSS to adjust the colour of the text and its alignment.
Challenges I ran into
The most challenging part was trying to find the most effective way to convey my message to the audience. I needed to summarize the issue and its solutions into paragraphs that weren't too lengthy. In addition, there was one line of CSS code I needed to fix to align the text properly (took me approximately 10 mins to figure it out).
Accomplishments that I'm proud of
I made this to inform others of this issue and what they could to help the issue. Evidently, everyone is impacted; however, by helping each other we will be able to create a safe environment for everyone.
What I learned
I practiced and refreshed my HTML and CSS skills with this project. In addition, I learned how to inform others about the pandemic in a clear & concise manner. I also learned a lot about COVID myself.
What's next for Help a person out (COVID)
I would like to build a game for this and post it on this page so viewers can learn about the pandemic through playing a fun, yet informative game.
Built With
css
html
repl.it
Try it out
github.com | Help a person out (COVID) | COVID-19 affects everyone worldwide and a lot of us are aware of that. Let's work together to create a safe and positive environment during this time. Even helping 1 person can make a difference. | ['Trisha Ganesh'] | [] | ['css', 'html', 'repl.it'] | 14 |
10,079 | https://devpost.com/software/cabin-fever | Our logo- watch the demo to see the cabin's window change color!
This is our home page.
This is our quiz page.
This is an example of some of the prompts you can be given on our prompts page.
Inspiration
These past few months of social distancing and quarantine has lead us to feel isolated from the outside world. This "cabin fever," hence the name of our project, is what inspired us to create a pen pal matching service with prompts and activities to facilitate remote cultural immersion. We wanted a way to connect and travel without posing a risk to others.
What it does
Cabin Fever has two parts: a quiz and prompts. The quiz matches you with 2-3 potential pen pals based on the preferences you select, while the prompts inspire deeper discussion on current issues, culture, and feelings amidst a global pandemic.
How we built the quiz
The quiz is an HTML form that is connected to a php file through a Jquery ajax post method. The first two questions ask for your name and email and are just there to identify you and provide contact info. The next two questions ask for languages you are fluent in and languages you are learning. The php will separate your input to these two questions by whitespaces or commas, convert them to indices of a constant language name array, and create two arrays, one for fluent languages and the other for learning languages. Then, it will check each User in the database and add only Users that share either a fluent language or learning language in common with either the inputted fluent languages or learning languages. These Users will be added to the possible matches array.
Then, the form will assign a distance to each possible match in the database based on the data from the last 2 questions. Each possible User match in the database in addition to the current form inputter can be represented by a position in 7 dimensional space.The question that asks how frequent you would like to talk with your pen pal has 4 options, so its answer can be represented by 0, 1, 2, or 3, with higher values corresponding to less frequent conversations. This value will be the first element of the position array for the form inputter. The last question asks what interests you have, and since you can select any combination of the 6 interests, this question can be represented by 6 binary values. These 6 binary values will be put into the position array as either 0 or 1, making the position array have 7 dimensions.
After calculating the position array for the form inputter, the code will go through each User in the list of possible matches and calculate the distance from the User to the form inputter. Distance between 2 position arrays will be calculated as the Euclidean distance between each corresponding element in the 2 position arrays. Then the code will sort this array by increasing distance. Finally, the code will use this sorted array to output the K closest users' names and emails.
How we built the start talking page
I created an array to represent the potential values for each of the discussion question, activity, and video buttons. When one of these buttons was clicked, I made the code trigger a function that would randomly generate an index i and then through jQuery append the ith element of the array to the content display (or replace the content in the case of the video button).
Challenges we ran into
“Initially, I wanted to make it use machine learning to calculate which questions should have more weight when determining the best match for the form inputter. This could work if each user gives feedback to the website about how well they connected with their penpal, and then the neural network would adjust the weights accordingly. I didn't have enough time to implement this but in the future I could." - Zachary
"After the K closest Users were calculated in PHP, I needed to get the PHP to edit an empty HTML element to replace it with the K closest Users. I found out AJAX was a way to run javascript code based on PHP echos. I was not very familiar with AJAX, but using jQuery I could edit the HTML relatively simply.” - Zachary
"I had to figure out to make a header that is fixed on the top of the screen, and how to make an array of embedded youtube videos." - Zoe
Accomplishments we’re proud of
“I’m proud of the jQuery AJAX that I used to run JavaScript.” - Zachary
“I’m proud of my jQuery DOM manipulation and the p5.js animation.” - Zoe
What's next for Cabin Fever
We would really like to implement machine learning like mentioned in the Challenges section.
We also would like to implement a sign in feature so we can save user data.
Built With
ajax
css
html
javascript
jquery
p5.js
php
Try it out
cabinfever--zk306950.repl.co
repl.it | Cabin Fever | Travel from home. | ['Zoe Katz', 'Zachary Katz'] | [] | ['ajax', 'css', 'html', 'javascript', 'jquery', 'p5.js', 'php'] | 15 |
10,079 | https://devpost.com/software/newsify | Inspiration
We were inspired by our own experiences constantly having to refresh our news apps in a desperate attempt to catch a speck of good news about the pandemic. Reading all these articles is time-consuming and overwhelming, and we really wanted an easier way of doing it.
What it does
Web app that allows you to enter the URL of a covid-19 related news article and receive a summary of its contents.
How we built it
Front end was build in Vue and connected to a python backend via the axios package. The url is passed to the backend as a string and then passed through the MeaningCloud natural language processing API.
Challenges we ran into
Hosting our app on our registered domain was difficult due to packages that were installed at the time of the virtual environment creation, which blocked some functionalities.
Accomplishments that we're proud of
None of us have ever completed a web app that can actually pass information between the front end and backend
What we learned
We learned that planning is very important, and we also learnt a myriad of different ways that requests and responses are handled by web apps. A sample of what one of these graphs would look like is posted below.
What's next for Newsify
A feature that uses the matlablib to plot real-time data about COVID-19 and use a data processing ML API to display predictions about the virus' projected spread.
Built With
flask
html
javascript
json
meaningcloud
python
vue
Try it out
github.com | Newsify | In a world where constant newsflow and updates about the pandemic can be overwhelming, we provide an easy-to-use web app for people to get their COVID-19 news summarized. | ['Maria Mihu', 'Cathy Qiu', 'Dana Zarezankova'] | [] | ['flask', 'html', 'javascript', 'json', 'meaningcloud', 'python', 'vue'] | 16 |
10,079 | https://devpost.com/software/syncschedule | The individual scheduler editor
An example of a team's weekly schedule. Greener represents higher team availability, while red represents lower.
A view of the backend - google sheets storing all the data
Inspiration
I work as a coop in a company called Treasured Inc. and we have employees from across the globe (Canada, USA, China, India). Thus it is difficult for everyone to plan meetings without our manager having to check in with everyone personally, and there is rarely 100% attendance at meetings. I decided making a global collaborative scheduling program could improve our productivity and efficiency!
What it does
SyncSchedule connects each client's app and allows people to share each others availabilities, regardless of time zones and location differences. People can declare their availability for the week for others to see by selecting which time slots they can attend, and the app compiles everyone's entries into a simple, easy-to-read graph that easily helps determine the most effective time to host a meeting. You can click on a slot in the weekly schedule, and it will display what percentage of the team is available at that time, as well as a list of team members. SyncSchedule was designed for teams not necessarily with coding or backend skills, as everything can be managed with a simple interface.
Additionally, since the backend is hosted on Google Sheets, it is
completely accessible
by a moderator or admin with little backend experience, and they can easily remove or add new entries on behalf of team members.
How I built it
I built SyncSchedule using Unity and the Google Sheets API. Unity communicates with the sheets, reading and writing data, while the Unity app itself renders the data in a user friendly way.
All of this is automatic
. The Unity app also allows input from the user with a simple click-and-drag chart. This interface is super efficient and user-friendly, despite the complicated inner workings.
Challenges I ran into
The major challenge of this app was connecting Google Sheets with Unity. I struggled to find a way to interface these two at first, but eventually, with enough testing and experimenting, I was able to use webRequests in Unity to acces the Google Sheets.
Accomplishments that I'm proud of
This is one of my first backend experiences, and I am extremely happy that I was able to connect Unity with Sheets in time. This is definitely a versatile skill as well, so I will be able to apply it in the future.
What I learned
I have learned a lot about full stack development, having to develop an app and a database in such a short amount of time. I have also learned about Unity's webReqeusts, which will be super useful in many different applications.
What's next for SyncSchedule
I have a plan to improve SyncSchedule's workflow, allowing teams to create multiple schedules for multiple subteams, and maybe even organize a chat for managers to leave requests for open times. I believe an application like this has amazing potential out in the working world, especially in isolated times such as now. Even with a lack of personal communication, SyncSchedule could possibly fulfill that gap between people, connecting them and allowing them to plan meetings as if they were there in person. Even after the pandemic, SyncSchedule provides accessibility and convenience to teams, because of its simple graphical interface, quick and easy inputs, and simple backend maintenance.
Built With
google
googlesheets
googlesuite
unity
Try it out
github.com | SyncSchedule | A cross-platform collaborative scheduling program, designed for teams across the globe to plan out meetings and declare when they are available. | ['Arthur Bright'] | [] | ['google', 'googlesheets', 'googlesuite', 'unity'] | 17 |
10,079 | https://devpost.com/software/incognito-awgk8c | Introduction
Say hi to Incognito, the app which normalizes healthcare, in a great way. Incognito aims to diagnose Parkinson’s Disease in 3 intuitive steps: draw a spiral, point, and click (a picture). Parkinson’s disease is the second most common age-related neurodegenerative disorder after Alzheimer’s disease, but what makes it so unique is its external diagnosability: no longer do we need fancy MRI or PET scans to diagnose Parkinson’s Disease. Parkinson’s Disease is only getting worse, increasing from 41/100,000 people to over 190,000/people, but here’s the catch: we’ve only looked at people who are able to visit doctors, and people who have the healthcare means to get diagnosed. What about the 46.5 million Americans who lack healthcare, or the millions more worldwide who do not have access to good healthcare. Parkinson’s is scary: a patient of this disease will no longer have a normal social life or have a job, therefore making them incapable of paying for medical expenses, and will severely hurt their financial condition. In the United States alone, 60,000 people are diagnosed with Parkinson’s every year, however, this fails to reflect the over 40 million Americans living under the radar, and every Parkinson’s statistic fails to represent millions of people who are Incognito to the healthcare system. Incognito brings light to those who otherwise would not be able to attain healthcare.
Inspiration
The Incognito team was inspired by every day experiences, whether it was being too lazy to visit a doctor for any doubts we had about our health, or the fact that we were privileged enough to visit a doctor whenever necessary. We wanted to do something that could change lives, and we decided that healthcare would be the best way to do so, because through Incognito, we will be able to save lives, by diagnosing critical diseases in their early stages. Furthermore, we were inspired by family members who suffered from Parkinson's Disease... maybe if they had access to good healthcare, their lives would have been saved. Maybe, if they had been diagnosed earlier, they could have lived a more comfortable life. Thats why we're here: we believe that everyone deserves a chance at living, no matter what their background is.
What it does
Incognito is intuitive: draw a spiral, take a picture, and upload it to our webapp to diagnose whether you have Parkinson's, in under a minute. The Incognito team loves simple things, whether it is our simple UI, our easy-to-follow instructions, or the convenience that comes with a web app! In fact, Incognito only requires a phone camera. That's it. No MRI scans, no PET scans, and definitely no microscopes. The user simply draws a spiral, clicks a picture, and gets diagnosed, in under a minute. Instead of taking a long trip to the hospital and waiting amongst people with the flu, we bring the hospital to you. Instead of paying an absurd amount of money to get scanned, we do the fancy image analysis for you. Incognito is simple to use, for anyone and everyone. Whats more? We compete with the pros when it comes to accuracy, but the difference is, Incognito is easy, free, and time-friendly (we of all people know the importance of efficiency)!
How we built it
The Incognito team utilized Convolutional Neural Networks, CNN's provide the highest accuracy when it comes to image detection. We developed an efficient preprocessor to improve the results of our model, including tools such as OpenCV. In fact, we put heavy emphasis on optimizing our code, whether it was through gray scaling images or using the smallest sized images as possible. A lot of work was done on the model to achieve high accuracy, and we've perfected it to our best ability. Furthermore, we utilized bootstrap and css for frontend development, as it is intuitive and provides the most refined results. Much of the frontend was developed through templates that we found visually pleasing. Django was used for further backend processing.
Challenges we ran into
The Incognito team ran into numerous challenges, whether it was timezone differences or technical difficulties. Our ML developers were having issues with their pickle files, which took
much
googling to fix. Because the Incognito team took a long time to find an idea we were passionate about, it became difficult to do so many tasks in such little time. Our frontend and backend developers worked tirelessly to have a working and visually pleasing User Interface, which was very rewarding. We had to decrease the size of our model in order to host it, which we found incredibly challenging, due to the fact that we wanted to maintain our accuracy. With a lot of tweaking and shifting, we were able to gain maximum accuracy for a model of its size. We have also faced numerous issues when it comes to hosting the web app, which is something we are currently working on (after all, we want our users to have the best time possible). At Incognito, time is our biggest challenge, whether it is beating Parkinson's, or developing our app in under 24 hours.
Accomplishments that we are proud of
We are proud of our entire web app, whether it is our important cause, or our app which was completed in such a small timeframe. We are proud of the fact that when we do launch our app, it will help millions who do not have access to healthcare (and maybe inspire other developers to tackle the same challenge). We are proud that we were able to locally host our web app, which was definitely unexpected, and we are most proud of being able to achieve a high accuracy on our Neural Network. On a less important note, we are proud that our website doesn't look like a virus (We're looking at you, Oracle). Even less importantly, we think our name is pretty slick.
While we are proud of every single part of our app, we know that it is not perfect. We would like to make ourselves and our users prouder, whether it is through improving our UI, increasing our model's accuracy, detecting more diseases, and maybe,
just maybe
actually hosting our app for the public (just kidding, we'll definitely be doing that).
What we learned
The Incognito team learned a lot. We learned how to develop a fully functioning web app in under 24 hours, which is something none of us have done before. Our ML, frontend, and backend developers had to go into the nitty gritty details about each aspect, therefore solidifying our understanding of all three areas further. We also learned how to wake up before 2pm, but thats a discussion for another time.
What's next for Incognito
The Incognito team has already started expanding, as you are reading this. We plan to develop a large team of capable members to create models for multiple diseases, so you can import
any
photo, and get yourself diagnosed. It will become a hospital on a 5.6 inch screen (yes, we searched up the average smartphone size). We also plan on improving our model accuracy, and of course, improving our UI and hosting our app. Incognito fully plans to fulfill its name, and cover people with all kinds of conditions who may be incognito to the healthcare system. Incognito will help millions, you can take our word for it.
Thanks for reading (you deserve a cookie, but due to a special virus, we can't give it to you)!
Instructions
Draw a spiral on a piece of paper
Take an image of your spiral
Go to
http://amazingbuilder123456.pythonanywhere.com/
Upload the spiral
Enter your email
Submit
Check your email for results!
Side Notes
Accuracy for the model is not too high because we chose to compromise accuracy to have the model fit into the website. In the future we can deploy the model as a microservice and help bring up accuracy.
(Only read if you are a sigma hacks member)
After the sigma hacks deadline we were able to integrate the AI model into the website and make it work. You can look at the newly improved website now.
For flare hacks we were able to get the website working and integrate the AI model!
Built With
bootstrap
css
django
keras
opencv
python
tensorflow
Try it out
github.com
amazingbuilder123456.pythonanywhere.com | Incognito | Healthcare. For all. | ['Anish Karthik', 'Pahel Srivastava', 'Gaurish Lakhanpal'] | [] | ['bootstrap', 'css', 'django', 'keras', 'opencv', 'python', 'tensorflow'] | 18 |
10,079 | https://devpost.com/software/math-at-home | Photo 2
Photo 1
Inspiration
I like the math resources on AoPS.com, and I wanted to share these resources with other students during the pandemic. Math sites like ProjectEuler.net also inspired me.
I may have been inspired by someone else's project at a previous hackathon. He created a spreadsheet of math competitions. I thought that it would be a good idea to compile a list of math practice resources for students, and "Math at Home" was the result.
I also gained technical help or technical inspiration from the following websites:
https://www.thesitewizard.com/css/how-to-center-text.shtml
,
https://www.thesitewizard.com/css/center-div-block.shtml
,
https://codingdomain.com/webdevelopment/css/crash-course/
,
w3schools.com,
https://medium.mybridge.co/26-impressive-web-projects-built-with-css-only-4a4c2f773a21
,
https://codepen.io/jcoulterdesign/pen/OMOqjy
,
https://codepen.io/samirc/pen/vGKoxj
,
https://codepen.io/davidkpiano/pen/wBGjMr
,
https://codepen.io/juliangarnier/pen/idhuG
,
https://codepen.io/jaysalvat/pen/HaqBf
,
https://www.rapidtables.com/web/html/link/html-link-new-window.html
,
coolors.co,
https://fonts.google.com/specimen/Nunito?query=nunito&sidebar.open=true&selection.family=Nunito:wght@600
,
https://covid19api.com/
(nice colors and design),
https://docs.google.com/document/d/1JXk8T_FD7pYAOBvUJoMJBVOka-zNGC6lEUMkBL5KLjA/edit
,
and probably more sites.
What it does
The website provides 3 links to math resources on AoPS.com.
How I built it
I used CodePen.io to code the HTML and CSS of the website.
Challenges I ran into
I had trouble brainstorming this topic, and I also ran into challenges while coding the CSS for the website. I did not know the proper commands to create certain webpage designs, so I had to experiment with HTML and CSS terms.
Accomplishments that I'm proud of
The webpage has a generally nice appearance, which I am proud of. I am also proud of keeping the webpage relatively simple.
What I learned
I learned basic skills in HTML and CSS. I also learned how to use GitHub (create a repo, etc.)
What's next for Math at Home
I hope to find a domain (weebly, Wix, or wordpress all work) and put the resources on a public site. Also, I hope to expand the number of resources offered, so kids can learn not only math but also computer science, physics, and more.
Built With
codepen.io
css
html
Try it out
github.com
codepen.io | Math at Home | Website with links for middle school math practice. These links can help students learn at home during the pandemic. | ['Christopher Li'] | [] | ['codepen.io', 'css', 'html'] | 19 |
10,079 | https://devpost.com/software/care-n-share-ui08ne | Inspiration:- The ongoing conditions around the world due to Covid 19 have put people in a big dilemma . The rate of increase in the number of cases of corona on a daily basis is very high.Due to this, a large number of people are really afraid and worried and are ready to believe any rumor about the COVID-19.In this situation we thought of coming up with an idea that would help in reducing these rumors by providing them with the correct information as well as provide a way of entertainment for the people.
What it does:-We have come with our website named Care N Share having the following features:
Our Website will serve as a platform for covid 19 infected patients to get to know about experiences and details of treatment of Covid 19 from the recovered patients
All the information regarding entire day schedule,diet plans,medicines,exercises and all other activities performed during their treatment period by many recovered patients will be present in the form of video interviews as well as in textual format
All the useful yoga asanas and exercises which are useful for prevention as well as to cure corona will be present at one single at our website
Suggestions about most recommended doctors by the patients
For the sake of mental pleasure,a section for some interesting games and other related activities is also present
How we built it:-We have created the front end part of the website, for now, just to give an insight into our idea with the utilization of HTML5 and CSS3.
Challenges we ran into: While working on the project, the major challenge that we faced was to make Care N' Share site suitable for different screen sizes. One of the other important factors that we majorly considered while developing the site was that we aimed to make the site more attractive and easy for users so that they will find it easy to share resources which are useful for them on the site. For that purpose, we had to come up with a lot of creative ideas during the entire process.
Accomplishments that we're proud of:-We have put best efforts from our side to come with an idea to bring a helping hand to tackle this pandemic. We have learned some more technical parts related to the front end and we like to appreciate Sigma Hacks 2.0 for giving us the opportunity to compete with the participants all around the world and for providing the guidance of the most amazing mentors.
What we learned:- We have learnt a lot on problem solving and team working. Also to fight the pandemic, it was really interesting to find and work on solutions that could help everyone to come up everyday with good physical and mental health. Also while working on this project we got to know a lot about he experiences of the COVID-19 survivors.
What's next for Care-N-Share:-We will add features of chat for our users for their interaction with one another.
The site will be made more personalized for our users to make the access of resources on the site more easier
A feature of direct and quick chat with doctors will be proposed on Care N Share in the upcoming times.
With the help of this feature, an individual will not need to go to a doctor in case of the mere symptoms.
In the exercise section,yoga training sessions can be made personalised for the users of our website.These personalised sessions will be paid for the users
The login/sign up feature will help the people in keeping the record of how they performed in different activities and also will enable them to compete against each other.
Games and quizzes organised on Care N Share will be conducted by certain organisations which will charge the least amount from the users as participation amount
Built With
css3
html5
Try it out
github.com | Care-N-Share | Exceptional Care - Now on your Finger Tips | ['VEDANSH KUMAR GUPTA', 'Anushka Sharma', 'Sakshmika Agarwal'] | [] | ['css3', 'html5'] | 20 |
10,079 | https://devpost.com/software/productivity-enhancer | Inspiration
As four high school students, we live through the struggle of balancing all our activities, assignments, and commitments, with only 24-hours in a day. Time-management on a daily basis is an inevitable challenge, not just for us, but for middle school, high school, and college students all around the globe. We often are unable to plan for important events coming up (i.e. a test in two weeks), and end up pulling an all-nighter studying the night before. While we all create schedules, they don't map out our day well enough to hold us accountable. To solve this, we developed Productivity Enhancer, a web application that creates personalized schedules that fit in time to prepare for upcoming events.
What it does
We allow the user to enter recurring events that they have, their sleep schedule, and events coming up. We then generate a daily schedule that takes current commitments into account and fits in time for upcoming activities.
How We built it
Our application's frontend is built in HTML/CSS/JS, with a backend in Python. We used the Flask framework to connect our frontend and backend, and we used an SQL database to store user data.
Challenges we ran into
This was our first time working with SQL, and we ran into many issues building a secure database.
While the individual parts of our project were working, integrating them was a major challenge we ran into. We had many issues with merging branches, and spent a lot of time due to merging conflicts.
AMD's drivers are horrible. Please update them AMD. They crashed my computer 3 times.
Accomplishments that we're proud of
Over the span of 24 hours, we were able to develop a fully functional web application that can really help students like ourselves.
We were able to get an SQL database functioning that brought our application together. Given that we hadn't worked with SQL before this, we are really proud of learning SQL and putting together a project.
We worked with multiple databases for the first time. SQL doesn't inherently support arrays, and we were rather awestruck at this, so in our fit we decided to give unlimited power to Pandas instead.
What I learned
Many of us had never worked with Git before, and we learned a lot about Git, version control, and trunk-based development.
This was our first time working with SQL databases, and we learned a lot about backend development and SQL.
What's next for Productivity Enhancer
We plan on polishing up the app, and then deploying it to GitHub pages (to get feedback from peers), and then publishing it so students worldwide can reap the benefits of productive work time.
Built With
css3
flask
flask-bootstrap
flask-sqlalchemy
fomantic-ui
html5
javascript
pandas
python
sqlite
wtforms
Try it out
github.com | Productivity Enhancer | Maximizing your productivity via a web application that creates personalized schedules | ['Anjali Sreenivas', 'Shreya Pandey', 'Druhin Bhowal'] | [] | ['css3', 'flask', 'flask-bootstrap', 'flask-sqlalchemy', 'fomantic-ui', 'html5', 'javascript', 'pandas', 'python', 'sqlite', 'wtforms'] | 21 |
10,079 | https://devpost.com/software/covid-scope | 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 Covid-Scope
We were really inspired by the learning opportunity that SigmaHacks provided us! We had the opportunity to work on a developing and global situation which could have a huge impact on the number of people infected by the virus. As the U.S is reaching a shocking 4 million cases, more and more people are desperate to get tested so keeping these crowded testing sites crowd-free will be critical. The number of hospital beds in the U.S are substantially less than the number of people infected by the virus; it is important for the healthcare workers to pay more attention towards those vulnerable to the virus.
We learned how to work efficiently and effectively as we had a lot of ideas but not a lot of time. It was important to devote more of our time on the features which make our app unique rather than on the features which are already released to the public. We also had the opportunity to write Machine Learning code - our first time!
We started off by spending the first 3 hours finalizing our idea and ensuring that we had a complete plan. After that, we started with the app display and the prototypes. We then wrote the code which decided the most efficient testing site for the user. Lastly, we created data by hand to input and train the computer. We experimented with Logistic Regression Models as well as the Random Forest model.
There were many challenges we faced throughout the project. We had so many ideas but we did not exactly know how to concisely put it all in an app. We also faced the challenge of figuring out which components to work on first and which components we should work on later on. Thank you for giving us this opportunity and we look forward to participating in more Hackathons!
(More details in the link to the slideshow provided below)
Built With
numpy
pandas
python
sklearn
Try it out
github.com
docs.google.com | Covid-Scope | Covid-Scope is an app that eases the process of finding COVID-19 testing sites by allowing users to sign up for time slots in advance and leverages Machine Learning to advise users. | ['atalwar98', 'jayanttalwar713 Talwar'] | [] | ['numpy', 'pandas', 'python', 'sklearn'] | 22 |
10,079 | https://devpost.com/software/seer | Inspiration
Playing games one night, and realized that I could predict how good something was going to be, if only I had accurate data.
What it does
It measures the validity of data from a subreddit, by comparing past predictions to current legitimate data.
How I built it
By using NLP to fuel both my Named Entity Recognition and Sentiment Analysis, I was able to find out what Proper Nouns were being mentioned. Based on the context with which these proper nouns were being mentioned, we know what both users believe, and what the current data reports.
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Seer
Built With
python
Try it out
github.com | Seer | Reddit Seer that predicts the validity of user's predictions, as well as measuring the degree of a belief's radicalness. | ['MayankSingamreddy Singamreddy'] | [] | ['python'] | 23 |
10,079 | https://devpost.com/software/covid-trust-dtsjhv | Homepage
Inspiration
My parents are always worried about businesses reopening. In particular, you really have to trust the owners of a local business to not have the virus. The idea for the app was to allow people to verify not having COVID, keeping everyone informed and making the community more safe.
What it does
COVID-Trust allows people to keep track of COVID tests. This is important for local businesses, who are in contact with many people every day. Users can keep
How I built it
The front end of the website was build in React.js, which communicates with an express.js backend via an HTTP API
Challenges I ran into
Near the end of the project, I began to burn out of energy and it became difficult to finish the rest of the work
Accomplishments that I'm proud of
Finishing the project in under 24 hours :)
What I learned
This was the first time learning how to use express routes, as well as Google Maps API
What's next for COVID-Trust
More features can definitely be added, including government integration, OAuth for things like Google Accounts, etc
Built With
bootstrap
express.js
javascript
node.js
react
typescript
Try it out
github.com | COVID-Trust | A crowd-sourced app to help local businesses and customers stay safer throughout the pandemic | ['Bryan Chen'] | [] | ['bootstrap', 'express.js', 'javascript', 'node.js', 'react', 'typescript'] | 24 |
10,079 | https://devpost.com/software/ask-kitchen | Inspiration
When'd you last see your friends? Feeling unmotivated? ASK KITCHEN!
What it does
Google Chrome Extension. Lets you see what website your friends last visited. Lets you set tasks for yourself and publicize them to your friends so that you can be held accountable!
How we built it
Node.Js, Sqlite, HTML
Challenges we ran into
JavaScript and security
Accomplishments that we're proud of
Completed product!
What we learned
Chrome is very secure!
What's next for Ask Kitchen
Make it scalable, add more security
Built With
html
javascript
Try it out
github.com | Ask Kitchen | Have your friends help you stay on task. They can see what you're browsing! They can see tasks you've assigned yourself! Inspired by long days working side by side in the kitchen. | ['Anna Song', 'Sarbari Sarkar', 'karengu'] | [] | ['html', 'javascript'] | 25 |
10,079 | https://devpost.com/software/snip-it | Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Snip-iT
...
Built With
css3
html
javascript | Snip-iT | we will | ['René Diaz', 'Cyra Alesha'] | [] | ['css3', 'html', 'javascript'] | 26 |
10,079 | https://devpost.com/software/pitch-in-master | pitch-in-master
Many seniors, people with disabilities, and people who got the coronavirus are restricted from going outside for their own health and others. This prevents them from shopping for products such as essentials and groceries. There is the option of online delivery but many people are worried about the safety of the delivery process. Pitch-In serves as a solution to this problem by allowing people in the same community to help each other retrieve essential goods. By creating checklists one has the option of asking for certain products and conversely, one may create a commit-list to ensure that you commit to buying and delivering a product. We hope our application will be helpful in aiding people.
Built With
css
html
python
Try it out
github.com | pitch-in | a helping hand | ['maharishi2019 Rajarethenam', 'Mahanth Mohan', 'Gaurav Dharmadhikari'] | [] | ['css', 'html', 'python'] | 27 |
10,079 | https://devpost.com/software/tele-medicine | login page
ML analysis
blockchain log
solidity code
patient details and symptom detail
Inspiration
As we all know that managing health care data as well as providing a convenient health care facilities for rural people has not been easy.Also during pandemic like covid19, we cannot risk our life to visit doctor or hospital. Maintaining and sharing data with healthcare personnel as well as insurance bodies is really challenging task. Our health care record is really important, so with this platform one can easily secure his/her medical history and records with the help of blockchain technology. Due to medical report error, there have been hundreds of thousands of deaths. This inspired me to try and create a prototype for such app that can make safe blockchain medical records and also provide medical support to the patients
What it does
The idea about telemedicine popped up recently in my mind. In difficult times like pandemic where going to hospital is not good idea and rural areas where where these is no proper health services and hospitals. they can write their disease's symptoms in an app and app will analyze the predicted disease and get consult with doctors about medication all virtually. the patient medical record will be stored in blockchain and can only be seen by authorized doctor. patient can make payment to doctors virtually through ethereum wallet. Also one can claim insurance money with this platform, where the insurance companies can log in and check the medical reports of its customers.
How I built it
For the front end I have use node js, html and css and it is combined with machine learning algorithm like svm and random forest to analyze symptoms and predict disease.For virtual payment we have ethereum wallet where patients can make payment to doctors after getting virtual consults from doctor. I have used ethereum and solidity for securing medical records in blockchain.
Challenges I ran into
The biggest challenge was to adapt with the newer version of solidity Working continuously for 24 hours was also an unhertho challenge. Also combining node js and ethereum was tough on itself.
Accomplishments that I'm proud of
I was able to create a prototype of the idea that I thought. Maybe something didnt work and I had to modify some but at the end I have a web app that do function as I wanted, Also I had knowledge on the ethereum blockchain as well as MERN stack but building an application utilizing those skills was totally new for us. It was a great experience building such a good project.
What I learned
I learned to combine all my knowledge on various field to create a project. I also learned just in 24 hours of hackathon we can learn a lot of things,trying different things,challenging yourself to make it work and feeling motivated by the competition environment.
What's next for Tele-Medicine
It is still a prototype. Whole app cannot be made in just 1 day. but I am thinking to take it furthur. I couldnt give domain name neither got to deploy in cloud due to time constraint. so at first I will do that and improve the app
Built With
blockchain
css
html
machine-learning
mongodb
node.js
solidity
Try it out
github.com | Tele-Medicine | This project solve the problem of health related issues by providing virtual support by bringing blockchain and healthcare under one roof and used ML algos for health disease prediction and analysis. | ['Bijay Adhikari'] | [] | ['blockchain', 'css', 'html', 'machine-learning', 'mongodb', 'node.js', 'solidity'] | 28 |
10,079 | https://devpost.com/software/covid-19-chatbot-ky5pmj | Inspiration
Nowadays, with many people getting their news as headlines off of social media, misinformation is a serious problem. With the COVID-19 pandemic, it’s especially important to be well-informed of health guidelines and regulations to keep yourself and other people safe. While people are encouraged to read government websites and reputable newspapers, with so much information on the web, this can seem like a daunting task. As such, we decided to develop a friendly, easy-to-use chatbot which can answer questions about COVID-19.
What it does
Our chatbot provides all sorts of information about COVID-19, including: what the virus is, symptoms, number of cases in various countries, general health guidelines, how it is transmitted, and more.
Challenges we ran into
Neither of us had any experience in app/web development or with using APIs, so we spent a significant amount of time at the beginning of this hackathon, trying to find out how to use and integrate APIs. We ultimately could not include one feature of our chatbot, a News API, but this is an extension to our project that we can continue to work on :)
Accomplishments that we're proud of
This was our first hackathon and coming into it, we had no idea what to expect. Since we are a team of only two students who have just graduated high school, our only experiences were our grade 12 computer science courses.
Simply deciding to participate in this hackathon is something that we are proud of - most of the other participants are already adults and have many skills under their belts, including machine learning, front-end developing, and cybersecurity. This was quite daunting, but we signed up nonetheless.
We are also extremely proud that we were able to create a working project in only 24 hours. Moreover, this project solves a real-world problem and could help people, which is extremely exciting.
What we learned
Over the course of this hackathon, we got a lot more comfortable using and integrating APIs. We also practiced importing libraries in JavaScript and creating simple html browsers. We were very impressed by the capabilities of IBM Watson – it is definitely something we will be wanting to use again!
What's next for COVID-19 Chatbot
Our next step would to use a News API to allow users to find relevant and accurate news articles about COVID-19. We would then have to implement our Watson Assistant-based chatbot into a web browser.
Built With
glitch
html
ibm-watson
javascript
p5.js
rivescript-js
Try it out
github.com | COVID-19 Chatbot | With the COVID-19 pandemic, it’s hugely important to be well-informed of health guidelines to keep yourself and others safe. We developed an easy-to-use chatbot to answer questions about COVID-19. | ['Kailin Chu', 'Natalie Volk'] | [] | ['glitch', 'html', 'ibm-watson', 'javascript', 'p5.js', 'rivescript-js'] | 29 |
10,079 | https://devpost.com/software/covid-19-for-children | Inspiration
What inspired me to build this website was the idea of informing elementary schoolers and young ones whose idea of today's situation may not be so clear. I wished that they could also know about our world and what is happening. I wanted to give everyone clarity, and we need to start with the youth as it is definitely going to be a big part of history that they take down with them.
What it does
This website has interactive gifs, images, and articles that help inform the youth all about coronavirus. From what coronavirus is to activities we can do in quarantine, this website acts as an al around guide for young ones to learn, discover, and have fun while still informing themselves and giving themselves clarity about coronavirus!
How I built it
I built the individual pages using Sublime Text Editor, then I re-uploaded the individual pages into corresponding folders and built it into a multi-page website on Atom. On Atom, I also made the style sheet using css. The rest of the website is made with html. I made my own gifs using procreate and I uploaded them to atom as images and used them in my website.
Challenges I ran into
Being a amateur coder (with only a month of experience under my belt) and this being my very first hackathon, I wasn't really sure where to start, and a lot of the elements that I wanted on my website- I didn't even know how to do! I am really glad that I reached out for help though, and tried my best to accomplish what I could with several newly aquired skill from the last 24 hours.
Accomplishments that I'm proud of
i am proud of the fact, that me, a beginner coder, was able to code a fully functional website and that I was also able to make my own gifs!
What I learned
What's next for Covid-19 for Children
Built With
atom
css3
html5
procreate
sublime-text
Try it out
docs.google.com | Covid-19 for Children | My project is one that teaches kids specifically those in elementary school about the world's current situation and all they need to know about Covid-19/Coronavirus. Gifs and fun articles are used! | ['Pallavi Chekka'] | [] | ['atom', 'css3', 'html5', 'procreate', 'sublime-text'] | 30 |
10,079 | https://devpost.com/software/runway-hxbza2 | Inspiration
I think probably the fact that we’ve all been cooped in our houses the last couple of months and since we don’t go out as much and interact with others, we thought the fashion for everyone might be a great way to allow people to be creative, be recognized for it, start trends, and be more positive. Mental health is at a low for many people right now due to the current status of the world and isolation. A digital fashion allows you to be positive, express yourself, connect with others, and show your skills even though you can’t do in person.
What it does
People are able to make their own designs using the sketchpad. Another page of the app - the Feed, allows users to view other types of designs. They can either swipe right or left, if the like it (right), if they don't really like the design (left). Lastly in the explore page, based on what the user showed interest in the feed page, more designs similar to their style will be shown.
How I built it
To make this IOS app we used Xcode. In order to store all of the users information we used firebase to store the info. Also, we used machine learning so that we could show similar types of designs that the user liked from the feed page to the explore page.
Challenges I ran into
We struggled on trying to get the firebase to work for sometime, but we persevered and found the solution. Due to the left over time, we were not able to fix all the error for the machine learning aspect of the app.
Accomplishments that I'm proud of
We are very proud of what we have done so far after the 24 hour time period. Even if we are not done with the app, we enjoyed the whole experience and can't wait to finish the app after the hackathon.
What I learned
To never give up. If you happen to run into problems, keep persevering, ask questions, search online, but never give up.
What's next for runway
We had some problems with completing the project. But after the hackathon we plan to continue to work on it and release it in App Store later on.
Built With
firebase
machine-learning
xcode
Try it out
github.com | runway | Due to COVID, mental health is a low right now for many people, with the digital fashion app it will allow people to be positive, express yourself, and connect with others. | ['Jasmita Yechuri', 'Nishka Muzumdar', 'Akshaya Jagadeesh', 'Aashika Jagadeesh'] | [] | ['firebase', 'machine-learning', 'xcode'] | 31 |
10,079 | https://devpost.com/software/multipad | Inspiration
We get this idea while attending online classes. What we miss is whiteboard.
What it does
It brings whiteboard to everyone.
How I built it
We use HTML, CSS, JavaScript for frontend and nodejs for backend. To add two-way connection between server and client we used socket.io.
Challenges I ran into
To allow multiple user to draw on same canvas is most challenging part of this project.
Accomplishments that I'm proud of
It's running as expected and we are able to built this under 10hr.
What I learned
How to make real-time apps.
What's next for MultiPad
Add more security t& support for multimedia to MultiPad.
How to use
Write same passcode to share sketchpad.
Github
Repository
Built With
css
express.js
html
javascript
node.js
socket.io
Try it out
young-depths-27243.herokuapp.com
github.com | MultiPad | To help people stay connected we created multiuser sketchpad. It is extremely useful for providing online education & project planning. | ['Kartik Prajapati', 'Dhruv Chauhan'] | [] | ['css', 'express.js', 'html', 'javascript', 'node.js', 'socket.io'] | 32 |
10,079 | https://devpost.com/software/cybersafe-qny5t7 | Background
In today’s world, the internet is a dangerous place for online communication. Scams, Child Predators, and Cyberbullies populate nearly all chatrooms.
Moreover, data shows that these users have only been on the rise over recent years!
And worse of all, most online communication sites simply don’t have the monetary or technical resources to implement protections against scammers, bullies, and predators.
Our Solution
That’s why we created CyberSafe, a RESTful service API for chatrooms that uses modern NLP technology in order to combat malicious messages!
Architecture
For companies looking to use our service, the architecture is simple: They send messages to our API, which runs it through a custom model that is designed to detect spam, bullying, and predatory activities all in one swoop!
Challenges we ran into
Generating child predatory data was a bit tough. We had to scavenge websites for usable data and build custom web scrapers for them. However, we ended up gathering
4800+
messages to train our model on!
Accomplishments that I'm proud of
The idea itself is extremely monetizable and there's a definite demand for it. Minecraft servers, multiplayer children games, chatrooms, etc. all face the threat of malicious activity in their messages and want it gone. At the end of 24 hours, we're proud to say that CyberSafe has turned into an easy-to-use implementation of detecting harmful users and making cyberspace a better place!
What we learned
Throughout this journey, we've improved our understanding of how NLP can be made at a production level and implementing it with sockets. That was definitely the coolest part!
What's next for CyberSafe
We really want to improve our model to not just consider a single message but analyze entire conversations. That would reduce the number of false positives and may drive up the number even higher from 95% accuracy!
Built With
ai
express.js
fastai
flask
lstm
ml
python
react
Try it out
github.com | CyberSafe | A RESTful Service for companies looking to protect their users from cyberbullying, spam, and child predators and save THOUSANDS of dollars in chat moderation fees | ['Ansh Gupta', 'Jainil Shah', 'Naman Gupta'] | [] | ['ai', 'express.js', 'fastai', 'flask', 'lstm', 'ml', 'python', 'react'] | 33 |
10,079 | https://devpost.com/software/sigmahacks | sigmahacks
We would like to solve this problem i.e. Increasing productivity in current pandemic situation along with taking into consideration current pandemic situation and health issues.
Built With
ajax
angular.js
css
django
html
javascript
mysql
phpmyadmin
postman
python
Try it out
github.com | One Store | One application One Store is a B2C business model aims productivity through digitalization taking the current pandemic situation and health issues in consideration. | ['ABHISHEK SINGH', 'PRANJAL MAURYA', 'Prakhar Bhardwaj', 'Devendra Yadav'] | [] | ['ajax', 'angular.js', 'css', 'django', 'html', 'javascript', 'mysql', 'phpmyadmin', 'postman', 'python'] | 34 |
10,079 | https://devpost.com/software/fruit-of-your-labors | The home page
The login page
A sample task list
Example of the Basket
Inspiration
Fruit was inspired by the app Forest, which was designed to help people stay off their phones and focus on being productive. Forest uses planting trees as the motivation for productivity (the more productive you are, the more trees you get). We absolutely loved the idea of using growth/collection as motivation for productivity, and decided to expand it to tracking daily goals, ultimately creating the website Fruit.
What it does
Similar to Forest, Fruit is designed to provide motivation for productivity. But differently from Forest, Fruit is a task-keeping site, where users input and track daily tasks.
Checking off a daily task as complete will increment a progress bar on the dashboard, and completed tasks can be added to a user's Basket. Adding a completed task to the Basket will transform the task into a fruit, giving a visual indication of how much has been accomplished that day. Hovering over a specific fruit will inform the user which task that fruit represents, reminding the user of what they've done and providing a sense of accomplishment for their efforts. Users may also empty the Basket, and delete tasks without adding them to the Basket.
How we built it
Our website was built with HTML, CSS, and JavaScript for the front-end, while using Python and Django for the back-end. SQLite was used to query the database used to store user information.
Challenges we ran into
Time zone differences
One of us is based in PDT, while the other is in IST. Because of this, we only had a small window of 2-3 hours in our mornings and evenings, when we were both awake to collaborate.
Minimal experience with web development
Neither of us had any experience with using Django, and only one of us (Meenakshi) had some experience with front-end web development. Trying to learn and use Django for the back-end proved to be quite the challenge.
Issues with sharing and updating our files
It took us a bit of time to figure out how to properly share and examine each other's code via Github, because some files had to be uploaded manually.
Asking which checkboxes are checked
This was a fundamental issue that affected many features (such as the progress bar and the fruits). Due to our inexperience with Django and web development, we struggled to ask this deceptively simple question in our code. Meenakshi was the one to find the solution and make other features possible.
The progress bar
For some odd reason, our progress bar would inaccurately count completed tasks as incomplete, making it impossible to reach 100%. The issue was with the checkboxes, which Meenakshi solved.
Accomplishments that we're proud of
Despite the time zone difference, there was an amazing amount of collaboration. For the small windows we had when we were both awake, we would decide on a goal for the day. One person would then go to sleep while the other would work on that daily goal. We would reconnect in our morning/evening, depending on location, and update the other about progress made. We then made another goal for the second "day". This system of updating is what lead to Fruit's success.
Additionally, neither of us had any Django knowledge prior to this hackathon. We're proud of our achievement in simply creating an entirely functional website in an unfamiliar language.
What we learned
Creating a website using Django
Adding, removing, editing, and querying a table in a SQLite database
Using the command prompt to run the test server
Web design and color schemes
Causing redirects and linking between separate HTML pages
The intricacies between the front-end HTML/CSS/JavaScript code interacting with the back-end Python/Django/SQLite code
What's next for Fruit
We'd like to be able to include a "difficulty" factor in the daily tasks: those tasks that are more difficult will yield rarer/more valuable fruit.
We would also like to expand to a mobile version of this website in the future, as well as to put our database on the cloud instead of being stored locally.
Built With
css
django
html
javascript
python
sqlite
Try it out
github.com | Fruit | Keep track of your daily tasks and harvest fruits upon completion! | ['Alexa Wang'] | [] | ['css', 'django', 'html', 'javascript', 'python', 'sqlite'] | 35 |
10,079 | https://devpost.com/software/ice-in-case-of-community-emergency | Inspiration
A recent Federal Emergency Management Agency (FEMA) survey found that nearly
60 percent of American adults have not practiced what to do in a disaster by participating
in a disaster drill or preparedness exercise at work, school, or home in the past year. Further, only
39 percent of respondents have developed an emergency plan
and discussed it with their household. This is despite the fact that
80 percent of Americans live in counties that have been hit
with a weather-related disaster since 2007, as reported by the Washington Post. Additionally,
48% of Americans report having seen at least some news they thought was made up
about the recent coronavirus virus. With
dangerously large amounts of false information regarding how to prepare for the coronavirus (52%)
in the general public, with nearly** 61% of _ Americans having not prepared a emergency plan in case of a widespread emergency in their local area
and **no basic technologies
present to sufficiently provide information to local authorities to provide help to one another, I felt the need to develop this app in order to build a tool for both,
the average household and authorities
, in order for local authorities to better plan, better make decisions and provide knowledgable information in order to save lives. _ Additionally, I have been personally affected by a similar situation, providing me better insight regarding the experience.
What it does
I have created a hybrid mobile application which has three different primary pages and intentions. On the home page, there are
three different feeds
that incorporate the main intentions of alerting the user end of
Reliable information from reliable sources based on the subject criteria.
These
three information feeds include the recent COVID-19 pandemic, an information feed from the government /city and the National Weather Service/other informations in relation to extreme weather. **For the second page, the user must enable location features In order to have full access to the app. **The app utilizes the current location of the user and uploads to my Backend in real time, which is viewable to the local authorities with authentication to the backend. This can be used in many instances such as a fire, to see whether any people are inside the fire, other natural disasters, to help rescue people based on these given locations, and also to alert other surrounding you for help.
Your location on the map will show up to people around you (in a certain radius). On the second page, there is a search option where the user can input a location and find the
Est. amount of people at that location(using a self-created algorithm), the risk level (in terms of COVID), the amount of people who are in "help status" near that location and the amount of COVID cases **in your state. **These features are very helpful during the current pandemic as essentials need to be visited. This will help uses find the time which has the least people present and the least cases recorded.
On the third page, there are
verified resources to help inform you what to do when various kinds of emergencies occur
and how to prepare for them in advance.
Overall, these functions will help inform the user of the correct information of what to do, how to be prepared, stay informed with reliable information in these categories, help avoid contact and contraction of the novel coronavirus and help stay safe in natural disasters/other similar emergencies by being able to send data to users nearby for help and local authorities.
How I built it
I built this app using the hybrid application development platform called React Native. I used expo for faster testing and a better and managed workflow. I wrote this entire app in Javascript. Now to the construction of the main features of the app. For the Information feeds, I used a
News API with several endpoints
to gather information in relation to its respective topic by reliable sources. For the search page, I used
react-native-maps in order to gather the accurate location (long, lat, geolocation) of the user and create the maps UI
. Additionally, I used
Google Firebase as my backend
in order to store this data in a database where it would be accessible to the local authorities in real time. For the East people at a location and risk level , I used an
algorithm I created using multiple data points such as the population of the residing city
, the amount of users recorded in the database and density of the city. For the last page, I used individual reliable sources to provide Preparation resources to be ready for and prepared for emergency situations.
Challenges I ran into
Overall, there were many challenges I faced over the course of this entire project. One of the earlier issues I had was in relation to the tracking of geolocation and using that data, uploading it to the backend and then redisplaying it onto the map. Although this may have not been visible during the demonstration, I wanted to ensure full functionality. The reason some of the data was not showing was due to my incorrect way of passing the props and setting state and overall scope of the project, which I eventually resolved. One of the other Issues I had was in relation to the News API feed which had multiple failed requests and was not pulling through. The issue, I eventually figured out, was due to the incorrect formatting and mapping of data, which did not load the data properly. Additionally, I wasn't assigning keys properly.
Accomplishments that I'm proud of
Some of the accomplishments I am proud of is creating the
algorithm to calculate risk level based on several data points such s population in the residing city, he amount of users recording in the database in that city and the density of the residing city.
I was also proud of creating an interface that was able to use locations and map this data to a backend. I am also proud of implementing my first multi-endpoint api in a react native app.
What I learned
I learned a lot of new things during this entire project. I learned how to implement react-native-maps, how to implement some basic functionality's such as webview and deep linking, allowing me to access certain websites for resources in my prep resources tab and overall how to troubleshoot in low time constraints. Overall, this time constraint helped me work more efficiently and prioritize.
What's next for In Case of an Emergency
In the future, I hope to host this algorithm on an API endpoint rather than on the app itself. Additionally, I would like to my own api endpoint for the resources since I am using a website webview at the moment.
I also would like to create more features in my backend such as alerting the app that you will be going somewhere to adjust the algorithm accordingly and have a lot more user input. I look forward to that in the future and hope this can help the overall community in such times.
Built With
algorithm
api
firebase
google
javascript
native
news
node.js
react
react-native
react-native-webview
Try it out
github.com | ICE (In case of Community Emergency) | The ICE App, helping you stay cool during times of emergency | ['Om Joshi'] | ['1st Place Continuation Hack'] | ['algorithm', 'api', 'firebase', 'google', 'javascript', 'native', 'news', 'node.js', 'react', 'react-native', 'react-native-webview'] | 36 |
10,079 | https://devpost.com/software/activity-finder | Inspiration
What it does
It is supposed to have a group and solo activity button, which when clicked suggests activities
How I built it
using react
Challenges I ran into
making the buttons
Accomplishments that I'm proud of
learning how to use REACT.js
What I learned
How web app development works
What's next for Activity Finder
I want to add a calendar which tracks previous activates and also a "invite a friend option" that can contact people and ask them to join your plans
Built With
css3
html
javascript
react
Try it out
github.com | Activity Finder | Maintain a healthy lifestyle by following our activity suggester | ['Asiya Khan'] | [] | ['css3', 'html', 'javascript', 'react'] | 37 |
10,079 | https://devpost.com/software/aestous | Final result
Our team
our laboratory
PCB
Inspiration
One dollar microscope.
What it does
Two dollars microbiological incubator. We want to manufacture and distribute 1 million devices worldwide, so that in even the most disadvantaged areas, there was an opportunity to do microbiological research and educational tasks.
How I built it
Designed simple PCB board with integrated heater in KiCAD. The etching was made in the ferric chloride solution. Then we soldered microcontroller and transistors to PCB.
To speak about the code, we were working in Cube IDE studio. We connected all the temperature sensors, calibrated them and made a necessary temperature of 37 Celsius using PID-controller.
Our last step was putting all the invention in the box. Then we closed it and waited for our bacteria to grow.
Challenges I ran into
It was to hard to make a homemade PCB board. We had troubles with soldering microelectronics. It was hard to simulate and compute temperature.
Accomplishments that I'm proud of
WE BUILT FULL HARDWARE PROJECT IN 24 Hr!!!
What I learned
We learned a lot of programs for electronic making.
What's next for AESTOUS
Build new version for mass market production. And add new improvements.
Built With
c
english
kicad
pid
stm32
Try it out
github.com | AESTOUS | Explore your micro world | ['Sergei S', 'Elizaveta Samara', 'Andrey Kosinets', 'Andrey Zabusov'] | [] | ['c', 'english', 'kicad', 'pid', 'stm32'] | 38 |
10,079 | https://devpost.com/software/sentiment-analysis-on-covid | Inspiration
What it does
Sentiment analysis Lab
How I built it
Python, Google Colab, Sentiment Analysis.
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Sentiment Analysis on COVID
Built With
google-colab
python | Sentiment Analysis Lab | Sentiment Analysis Lab | ['Tri Labs'] | [] | ['google-colab', 'python'] | 39 |
10,079 | https://devpost.com/software/opening-hours-vg0t38 | In-N-Out
Jamba Juice
McDonalds
Inspiration
Due to the coronavirus pandemic, many businesses have been forced to either close or minimize their business hours. As a result, many people are unsure when their favorite restaurants or shops are open, which is why I made Opening Hours.
What it does
Based on your search query, the app displays nearby businesses along with their opening hours for today. Further clicking on a business can show more details such as the opening hours for the duration of the whole week.
How I built it
Opening Hours was built using Dart and the Flutter framework. The businesses along with their opening hours are retrieved from the Google Places API.
Challenges I ran into
One major challenge I ran into was the search functionality. I picked up Flutter a few weeks ago and have only played around with it a couple of times so I wasn't quite sure how to make the search bar. I spent quite some time trying to create a real-time search bar however I quickly realized that it would spam the Google Places API with multiple requests so I decided on making a static search bar.
Another challenge I ran into was finding an API that has data about opening hours. I only managed to find 2 APIs that had the data I needed, Yelp and Google. I tried using Yelp, however, it was much slower than Google's API and had a maximum amount of requests per second so I settled with Google Places API.
What's next for Opening Hours
In the future I'm planning on making a grid like widget that displays a business' opening hours in a more readable and natural format.
Built With
dart
flutter
google-maps
google-places
Try it out
github.com | Opening Hours | A simple and intuitive app that displays the opening hours of nearby businesses. | ['Seif Abdelaziz'] | [] | ['dart', 'flutter', 'google-maps', 'google-places'] | 40 |
10,079 | https://devpost.com/software/psycho-helper-for-students | Inspiration
Since the onset of the corona virus, many researchers have conducted health surveys that have shown clear increases in mental health issues, especially in the younger generations. Many have lost their jobs/internships and others are still stressed about college admissions and how their SAT/ACTs will be carried out. Some are optimistic that this pandemic may bring out the best in people, however others have lost their motivation and are unable to concentrate. This web application has been created as an effort to give these students an opportunity to rant and view how others are having similar struggles navigating the world during these unprecedented times, and relieve some of their anxiety and stress by browsing through some of the activities they could do from home.
What it does
This website has multiple features for psychological relief for struggling students. It isn't meant as a replacement for medical psychological services but as a way to relieve some stress and express some struggles students may be facing. It contains three features, including a page to post a rant and receive a targeted ML-based response that corresponds with what the user has posted. This response is mostly consistent with the user's views and is meant as a way to show support and companionship for their struggles. Additionally, it also contains a productivity page that contains online volunteer opportunities that the user can start working on along with a short text box for them to share their experiences. Finally, the website contains a short survey under the self care page for them to get suggestions on how they could improve their lifestyle.
How I built it
I used TensorFlow.js and javascript on the backend and html on the front end. The built-in html scripts, including the TensorFlow universal sentence encoder model was used to embed user text and build a similarity function to respond to user's input with a targeted reply based on their rant in the stress relief page. The self care page was built with a combination of jquery and jssurveys modules. The rest of the website was basically built with html, css, and some javascript.
Challenges I ran into
I didn't have much experience in JavaScript so I struggled with the back-end code, especially with integrating TensorFlow into my html setup. I was also not familiar with jquery and hosting surveys so I had to quickly dive into it by briefly reading the documentation and doing a lot of debugging.
Accomplishments that I'm proud of
While I am not quite finished with the self care page yet, I am glad that I was able to build a fully functioning website within 24 hours, having never even used tensorflow.js in html before and having little familiarity with jquery.
What I learned
I learned how to integrate TensorFlow.js into my local enviroment and some complicated ML based functions on text-embeddings and similarity (TensorFlow's built in universal text encoder was easy to use and there was plenty of material on the web about how to use it). I also taught myself how to use the SurveyJS framework through jquery.
What's next for Psycho Helper for Students
I am planning to develop the self care page to include more questions and more targeted replies and expand the stress relief page, not just students, but for people of all populations.
Built With
css
html5
javascript
jquery
json
surveyjs
tensorflow
tensorflow.js
Try it out
hyma200.github.io | Psycho Helper for Students | A website to help stressed students during this pandemic. | ['Leela Yaddanapudi'] | [] | ['css', 'html5', 'javascript', 'jquery', 'json', 'surveyjs', 'tensorflow', 'tensorflow.js'] | 41 |
10,079 | https://devpost.com/software/grow-me | Our Logo
Website
Plants Info Page
Plants Info Page
Plant Information
Plant Information
Plant Information Mobile View
Virtual Garden
Garden Log
Inspiration
Earth’s population is increasing, but its land is not. We decided to create a gardening app to help anyone to create a sustainable farm in their very own home while supporting local farms.
What it does
If you are looking to escape from the daily stresses of life or are looking to become a master grower Grow Me is for you. With information about 400,000 plants you can grow virtually anything in your backyard! Grow Me can help you plan and track your garden efficiently and effectively with our virtual garden planner and receive daily reminders to water your plants.
How I built it
The front-end was built with HTML, CSS, React, and TypeScript. We used trefle.io as an API for our project. We also used RxJs for asynchronous state management. The back-end was a combination of Firebase and Java + Spring.
Challenges I ran into
The first challenge we ran into was finding an API or library with the data we wanted. Even after we found a good API, we needed to set up an RxJs store so that data calls could be made effectively and asynchronously. Finally, it was a challenge to make the virtual garden portion of our project.
Accomplishments that I'm proud of
We’re proud that we were able to fetch, display, filter and sort the data, and allow users to create a virtual garden. We're also proud that we are able to develop the front-end and the back-end.
What I learned
As a team, we learned how to use APIs to fetch data, and how to create a backend with Java and Spring. We also learned a lot about gardening and plants.
What's next for Grow Me
We would like to create a GrowMe community that will support and encourage new growers to turn their backyard into a mini farm. We’d also like to improve our database by adding more varieties and info of our plants. Ideally, we'd also like to generate the virtual garden from a satellite image, and calculate amount of sunlight, etc. using Machine Learning. We are also going to try to get an SSL certificate and make our website secure. We believe with more detailed data and more features our project can become a real company!
Built With
css3
firebase
html5
java
javascript
node.js
nodemailer
react
rxjs
spring
typescript
Try it out
grow-me.us | Grow Me | An app to revolutionize the way gardening is planned and executed. | ['Siddhartha Chatterjee', 'Satvik Balakrishnan', 'Humza Dalal', 'Rohan Bodke'] | [] | ['css3', 'firebase', 'html5', 'java', 'javascript', 'node.js', 'nodemailer', 'react', 'rxjs', 'spring', 'typescript'] | 42 |
10,079 | https://devpost.com/software/covid-test-centres-app-demo-video | Inspiration
We thought about the health and safety of our users, and decided we needed to make sure users could get the help they needed, without risking their own personal health
What it does
The COVID Test Centres App will notify users when they get their test results back, and allow them to view which testing centres have the shortest lines and most availability.
How I built it
We built it using C# and the unity game engine, to run a prototype.
Challenges I ran into
We had a big problem with inspiration for this project, especially due to the very tight schedule, but in the end we settled on a project idea, and pursued it with the limited time we had left.
Built With
c# | COVID Test Centres App | Skip the lines, and stay healthy, with the COVID Test Centres App. | ['James Hicks', 'Tyler Lee', 'Dominick Serwe'] | [] | ['c#'] | 43 |
10,079 | https://devpost.com/software/focus-app | 5 minute break - catch the moving balls
5 minute break - catch the moving balls
starting screen - click the start button to move to the next page
after work timer; press any key to start the 5 minute break
final page - click to go back to starting page
after levelling up, you get fruit!
25 minute work timer
About Hocus-Pocus-Focus
HPF is a multi-layer software that combines gamification and the Pomodoro Technique to make productivity fun. The pomodoro technique suggests a period of 25 minutes working followed by a 5 minute break, a process that is automatically implemented by HPF.
Here's the game:
You are among one of the first humans to be living on Mars! However, this life of adventure comes with its own struggles. Your mission on Mars involves growing a garden and gathering samples while also keeping yourself healthy. How does it work? Well, it's simple:
During the 5 minute break, you will play a mini-game. The goal of the game is to catch as many of the moving samples as possible before the five minutes run out! Doing so helps you gain EXP (experience points) that you need to reach the next level. However, this is hard labor, and it drains you health.
You can regain lost health by focusing during the 25 minute work period.
Everytime you reach a new level, you will grow one new fruit!
The Technicalities-- How it was made
HPF was made through a combination of JavaScript, HTML, and CSS. For this software, I took advantage of the p5.js library (
link
) and the p5.collide2D library (
link
).
Challenges
I just started learning JavaScript a couple weeks back, so I'm not as familiar with this language. However, I wanted to grow as a programmer, so I choose to use this language for today's hackathon. Due to my inexperience with JavaScript, I definitely ran into many challenges. One of the biggest challenges I encountered was when I was creating the timer function. I had to learn many new things before I was able to complete this integral part of the software. Another challenge I faced was making my code aesthically appealing. To achieve this, I ended up learning about CSS, which I really haven't dabbled with at all before this. I also faced technical difficulties during the 24-hour period. A storm came by last night and has damaged some cables, causing network connectivity issues for a large part of the day.
Inspiration
I know only too well how difficult it is to feel motivated to be productive and avoid procrastination. It was my own struggles with this topic that lead me to do more research on it, and I learned about the Pomodoro Technique. I wanted to create something that would bring what I learned about productivity and time management to others. This is especially valuable now. Due to COVID-19, the majority of students are learning remotely and many people are working from home. It can be hard to remain productive without the structure provided by going to school or to work. An app such as this can help make the transition to learning/working at home more smooth.
Built With
css
html
javascript
p5js
Try it out
github.com
sigma-hacks-2020.glitch.me | Hocus-Pocus? Focus! | Want to grow plants? Want to play games? Want to be productive? With Hocus-Pocus-Focus (HPF), you can do it all. HPF makes being productive not only easier but more enjoyable. | ['Aparna Kumar'] | [] | ['css', 'html', 'javascript', 'p5js'] | 44 |
10,079 | https://devpost.com/software/nai-artificial-intelligence-desktop-navigation-lho2pw | GIF
Artificial Intelligence
Controlling mouse with corresponding gaze direction. Blink for mouse click.
Gaze estimation using Deep Learning.
Naruto Eyes (Fun mode)
Navigation of desktop using Artificial Intelligence. (GUI)
Inspiration
Millions of great people, are not able to use their electronic devices as efficiently as they potentially could, because of some uncontrollable circumstances. Because of that, many potentially brilliant writers, engineers, musicians, etc. could not conveniently follow their passions and create great things for humanity, and enjoy their lives a bit more. We decided that we are willing and we are capable of taking action towards helping those people. We decided to build software that solves this problem for physically disabled people and makes this world a little bit better.
What it does
Our first prototype enables people to navigate around their desktop, using only their eyes. This includes moving the mouse and pressing the buttons. It also has fun Naruto eyes mode.
How we built it
We built the base in Python 3, we used PyQt5 to create a GUI. Then we used OpenVINO and dlib library's pre-trained models and applied some transfer learning on them, in order to estimate the real-time gaze direction. We used OpenCV for detecting blinks and pyautogui library for controlling the mouse movements, and we used Docker for containerizing our application.
Challenges we ran into
First and the biggest challenge was the optimization of the inference of our deep learning models in order to make our app run faster.
Solving all the version compatibility issues(we ended up using Docker to solve this problem).
Accomplishments that we're proud of
The biggest accomplishment that we are proud of is the fact that we were able to turn what we had imagined into life.
We are also very proud that even the first version of our software is readily available to help disabled people immediately.
What we learned
We gained more experience in working with Deep Learning applications and learned new cutting edge technologies like Docker.
We also felt all the huge importance and power of good teamwork.
What's next for NAI - Artificial Intelligence Desktop Navigation
Our further improvements are:
Packaging app into ".exe" file, so it could be downloaded and run by anyone on any kind of operating system.
We are working on a website enabling people to download our software from the web.
Working on the sensitivity of the models, so our app works better, faster, and more precisely. Training our own model, instead of using OpenVINO models for better performance.
Adding NLP and voice control options to our application.
Adding more functionality and options to GUI.
Creating a mobile version of the app, using TensorFlow lite, to run our models on Android and iOS.
Built With
c++
dlib
keras
opencv
openvino
pyautogui
pyqt5
python
Try it out
github.com | AI Desktop Navigation | We are utilizing AI to create an innovative way for all people to control their electronic devices by using their gaze. | ['Matvei Popov', 'Sharan Babu', 'Srikar Samudrala'] | [] | ['c++', 'dlib', 'keras', 'opencv', 'openvino', 'pyautogui', 'pyqt5', 'python'] | 45 |
10,079 | https://devpost.com/software/covid19-quarantine-centre-39mnbz | Feedback
login Portal
Add Nodal Officers
Routine Feedback Filled
Query
Profile
Show Patients
Database
Feedback
Routine Feedback
Admin Dashboard
Entertainment
Inspiration
The COVID-19 pandemic is the defining global health crisis of our time and the greatest global humanitarian challenge the world has faced since World War II. This virus is spreading rapidly, and the number of cases are rising daily as our government works to slow its spread. India is moving quickly, implementing various remedies for the welfare of our country. It took decades of vaccination to eradicate smallpox.
Most importantly our parents work as nodal officers for the Quarantine centres, we have observed how it is challenging to manage people and their anxieties. Keeping their count, providing them good health care , regular feedbacks and easing their mental health.
What it does
For the current pandemic, the vaccine may need a longer period. As days pass by, patients increase rapidly and along with that, the number of quarantine centers increases as per need. We, the quartet of college students have put in our efforts collectively to put forth our solution in regard to this problem. We have developed a website in which the Patients, Nodal officer, and Admins play a vital role. This website is also an information update on the lifestyle in quarantine centers and most importantly we have focused on the well being of the patients during their quarantine period (until recovery). The Admin will register the patient along with his personal details. The routine check-up update is taken on a daily basis from patients. The feedback on the patient's wellness, diet, cleanliness, and overall living is taken on a weekly basis. This information is recorded and visible to the nodal officers who can then implement constructive changes accordingly. For the patient's past time we have also showcased an entertainment section in which there are varied choices of sources. To conclude our website is aiming for the patient's well-being and peace of mind during their quarantine period.
Accomplishments that we're proud of
Even if we are able to address one query and reduce the level of anxiety among people, we see this project as successful. Also, helping all nodal officers, for easy management and plan future-readiness. Medical departments to ease the collection of data and sending out reports too. Also, the daily collection of feedback from people, even after they are discharged from centers and hospitals.
Also providing overall insight by data analysis.
What we learned
Except from a technical point of view, we did learn an approach to solve a practical problem with the easiest
and real solution. Worked with languages like HTML, CSS, PHP, Javascript, and frameworks like jQuery and bootstrap and database management by MySQL.
We have hosted the website on 000webhost.com.
Login Details :
Admin Username: 420
Admin Password: admin
Nodal Officer Username: 9696969696
Admin Password: mukesh
Patient Username: 9988776655
Admin Password: rishabh
What's next for Covid19 Quarantine Center Portal
Integrating it with medical systems for scaling the project. Providing track of their swap reports and tentative dates to avoid panic. Also, easing the medical department for the collection of details and feedback after discharge from the hospital too.
Built With
000webhost
bootstrap
covid
css
github
html5
javascript
jquery
mysql
php
Try it out
covidquarantineportal.000webhostapp.com
github.com | Covid Quarantine Care Portal | We have developed website in which we help patients,Nodal officer and Admins coordinate. The portal will help the admin and nodal officers to check the problems faced by patients & mental well-being. | ['kunal jain', 'Janavi Shirke', 'Rutvika Patil', 'Muskan Agarwal'] | [] | ['000webhost', 'bootstrap', 'covid', 'css', 'github', 'html5', 'javascript', 'jquery', 'mysql', 'php'] | 46 |
10,079 | https://devpost.com/software/ir-line-follower | Inspiration
In this world of complicated solutions, I felt the need to try to implement some very simple solution to solve some problems that have recently cropped up. COVID-19 has made us alter our lifestyles in major ways. One of them is not going outside, and avoiding contact with surfaces. Here I have developed a very simple bot for our house to accept deliveries and make it safer for both the person delivering and us.
What it does
It is a very simple line following bot that uses 3 IR sensors, a guided path of white strip against black and follows the path. It can be manually overriden using a PS controller. It when turned on simply follows the line and depending on a couple of more attachments can perform simple activities like picking up or dropping objects.
How I built it
I built it using arduino, it's IDE and 3 IR sensors. I have tried a couple of other attachments like servo motors, though due to the lack of the right materials, I haven't been able to demo correctly.
Challenges I ran into
In this lockdown it is hard to get hands on the right material in a short time, but I feel I managed fine without the extra componants and found the joy in building something simple.
What's next for IR line follower
I am planning to add some extra componants like motors and UVC lights to add to its utility value. I also plan to replace the arduino with a microcontroller with wireless communications
Built With
arduino | IR line follower | Just guide thorugh the lines | ['Ritvi Mishra'] | [] | ['arduino'] | 47 |
10,079 | https://devpost.com/software/chiron-peer-tutor-app | Inspiration
Due to the Coronavirus pandemic, many schools have been forced to adopt remote or distance learning. Many students simply do not learn as well in remote learning and require additional help for understanding their work. As high school students, our team has also faced this issue in this past semester. We wanted to create a way to make it easier for students to receive help from their peers.
What it does
Our app serves as a safe space for tutors to offer help to students remotely. They can choose subjects or classes of expertise and build a profile. These tutors will then immediately be matched with a student from their school. In this way, we are creating a "virtual" peer tutoring space that could also be used by school to reward students with volunteer hours. The app has an integrated video chat feature that can allow a student and tutor to communicate with each other effectively.
How I built it
This app was built using Android Studio.
Challenges I ran into
We ran into challenges with connecting to the Firebase database.
Accomplishments that I'm proud of
We are super proud of our progress so far and excited for finishing the development of our app. It will be very practical right now because of remote learning.
What I learned
We gained some experience with building apps and also learned how to implement a video chat feature.
What's next for Chiron Peer Tutor App
We are going to finish developing our app and start sending it to local high schools in our area.
Built With
android-studio
apora.io
java
xml
Try it out
github.com | Chiron Tutor App | Our app connects students with tutors so that they can receive help on their school work. | ['Abhi Vinnakota', 'Archan Das'] | [] | ['android-studio', 'apora.io', 'java', 'xml'] | 48 |
10,079 | https://devpost.com/software/symptochecker-app | Thumbnail
Inspiration
Since the beginning of this pandemic, the world is facing is a shortage of proper medical aid for patients.
What it does
So we have created a solution using which we can improve the convenience for both patients and doctors by enabling remote communication.
How we built it
The app uses Infermedica API that asks the user to enter his/her symptoms, and then we ask some questions according to the signs that patient reports. The general questions include patient traits like BMI, behavior, geolocation(to identify location-specific diseases), etc. Then some specific questions are asked, which are based on previous responses. After answering all the answers, a set of possible diseases is displayed with its corresponding probability. A 5 level variable 'triage' is given to the session depending upon the diseases which signify the requirements of treatment for patient (ranging from self-care to emergency-ambulance). This value is sent to the admin side of the app (which is accessible by hospital authority) to assist the patient accordingly. Note that the hospital gets the name of the most probable disease, and hence doctors of the concerned field can be informed about the patient's conditions beforehand. In the case of usual cases (like common-cold), the app also makes "telecommunication_applicable" as valid, making sure that patients don't need to arrive at the hospital for a consultation, which further implies that doctor can engage in more severe cases which needs attention.
Challenges we ran into
On the way to create this project, we had to go through Infermedica API to use it to full potential. We also had to make API where the user side of the app sends a post request to keep a log of all the problems that are being reported. It took us a while to determine how the API should work and how it should appear to the hospital management side. However, we overcame this problem by using MongoDB, which made things easier for us. We later connected it to the hospital side of the app using get requests (It shows all the relevant information). Another problem that we are facing right now is using our COVID model to deploy an app on Heroku.
Accomplishments that we're proud of
In the long run, it can help create a history of the patients, which would be helpful for treatments of patients hence improving patient-doctor communication. We succeeded in our objectives which were as follows:
To make doctor-patient communication more effective
To keep track of the history of the patient
Prioritizing the cases according to the seriousness
Helping the users understand the diseases in a more effective way
What's next for SymptoChecker App
Turning this web app into a mobile application
Implementing our COVID ML model for chest X-Ray
Adding an option to register and OTP verification for user login
Making it available as a chatbot on popular chatting platforms like telegram and messenger
Integrate the app to take data like pulse rate, step-count, sleep routine, etc. from smartwatches and make it an all-round fitness companion
Built With
css3
express.js
html5
javascript
mongodb
node.js
Try it out
github.com | SymptoChecker App | Total medical prioritisation solution | ['Abhay Shreevastava', 'Ritvij Kumar Sharma', 'Satej Bidvai', 'Saransh Anand'] | [] | ['css3', 'express.js', 'html5', 'javascript', 'mongodb', 'node.js'] | 49 |
10,079 | https://devpost.com/software/covid-19-saver | Hands Free Basin 1
Hands Free Basin 3
Hands Free Basin 2
Beds for Covid Patients
Beds for Covid Patients 2
Platform to Find Missing People 3
Platform to Find Missing People
Platform to Find Missing People 2
Inspiration
During this Global Crisis of COVID -19, Our Doctors, Nurses, Police, etc working on the frontline against this. So, why are we falling back? After all, we are engineers with an innovative mind. Now, we are here with the combined Hardware and Software solution, after analyzing some problems. And, try to make the next generation Healthcare Device for Protecting Vulnerable Population during and after this pandemic situation. Nowadays, COVID-19 patients are facing issues in finding beds in hospitals. They have to go to different hospitals and check if the bed is available or not. And even if the beds are available then they have to make sure that it is affordable. During the COVID-19, we are facing a lot of disasters like cyclones in Orissa, West Bengal, Maharashtra, etc. and floods too. Also, many people have lost their lives and many people are missing. Lots of parents have lost their children during these disasters.
What it does
There is a Hardware setup that consists of a self shoe sole sanitation device, health band, and hand-free basin. So, the pedestal comes near to our setup and stands over it through that way the shoe sole is sanitized by UV light (this way restricts the transmission of coronavirus through shoe sole). Then, there is a health for which users connected our app with the setup through bluetooth, which measures Heart Rate, Blood Oxygen Saturation Level and Body Temperature, and get the whole data over the app. In last, there is the contact-free basin to wash their hands in public spaces ( everyone washes their hands without touching the tap, which means restricted the transmission of the Coronavirus through the surface and reduces wastage of water). We have made an app, to find the number of beds available in the hospitals in the city they live in. The app will show the number of available beds in different hospitals and will tell the price too. KHOJ will help to find a missing person. The guardian of the missing person will upload the details of that person, so the image will be added to the KHOJ database. If any person finds a person who was missing, he can also upload the picture of that person through KHOJ. KHOJ will try to find that person in the database, and if found it will notify the nearest police station from where the person is found and the guardian of the missing person.
How I built it
In the Hardware setup of this project, shoe sole sanitization device by using UV-C type and its choke, contact-free basin by mechanical parts like the pedal, spring, metal wire, cistern, etc and health band is done by Arduino Uno, Max30102 (for Heart Rate and Blood Saturation), Ds18b20 (for body temperature ) & Bluetooth HC-05. We build our app on Flutter which is a hybrid platform using dart language. Because Flutter apps can run on ios and android phones. Then, we used an API provided by disease.sh for details related to COVID-19 like total cases, active, deaths, etc.and did some other stuff also with our skills.
Challenges I ran into
Due to lockdown, we don’t have NodeMCU (IoT device) to store data over the cloud. So, we try to figure out this with Arduino Uno and Bluetooth. First, we send data over the mobile app than over firebase to store.
Accomplishments that I'm proud of
Working, health band with real-time data functioning backend servers for data management easy to use app which can present real-time data to the user over the app. Made a website that can help to find missing people, and that will be a good thing for the community.
What I learned
Learned a lot about that without having an IoT device, how to store data over a server and also, about the new sensors. Moreover, it built a more functioning mobile app. Also learned about how to use face recognition and AWS services.
What's next for COVID-19 SAVER
We are planning our project to reach out to maximum people as possible so that we can help them. And we will try to make the device as compact as possible.
Built With
amazon-web-services
arduino
bootstrap
c++
css3
django
html5
javascript
p5
python
Try it out
drive.google.com
docs.google.com
github.com | COVID-19 SAVER | Our project is to protect people from COVID-19, and to solve various problems which people are facing during pandemic. | ['Anubhav Sinha', 'Keshav Bathla'] | [] | ['amazon-web-services', 'arduino', 'bootstrap', 'c++', 'css3', 'django', 'html5', 'javascript', 'p5', 'python'] | 50 |
10,079 | https://devpost.com/software/safeschool-za9ivs | Inspiration
SafeSchool solves two major issues: A security issues which is that school faculty doesn't know who is entering the school and an attendance issue. The school attendance system has stayed relatively the same for generations. It is the classic, student comes to class, teacher calls name, student raises hand, teacher registers attendance and BOOM! Their attendance has been taken. This ancient technique has become obsolete in the modern times due to its lack of productivity. It is a HORRIBLE way of doing things because of its lack of efficiency and now because of COVID, human contact health risk. We decided to solve this problem by creating Safe School, a revolutionary way of taking the attendance that lets students take their own attendance using machine learning.
What it does
Safe School is a web application that utilizes machine learning to create social change by saving student and staff lives in our local and global schools. It does this by letting students safely admit themselves into classes in the morning or if they arrive late to school. The current norm for students to be admitted to class if they come late is to go to the attendance office and scan their id. This requires constant contact with the person in charge of attendance and a delay for students to arrive at class. This lack of productivity puts lives at danger and creates unnecessary risk. With our application, students can just sign in by taking a selfie of themselves, and a one time pass will be provided for students to show to their teachers. As you can see from trying out our website, first the student will need to login or create an account, then they will be greeted to a dashboard showing their statistics, then they will be at they will go to the capture page where they will take a picture of themselves and our ml model will capture them and finally add their status to the database. On the website, the student can also edit their profiles and look at the project's links. From the teacher's perspective, they will be able to see the students and their statuses. All of these features allow our app to increase the efficiency of the old and rusty attendance system, thus saving time and lives.
How we built it
We built our web app’s frontend, the part that interacts with the user, using Python, Flask, React JS, Javascript, CSS, HTML, Jinja and SASS. We also build Safe School’s backend, the machine learning algorithm, which detects the student’s face and classifies them, using a variety of face detection, linear regression and deep forest algorithms through the process of deep metric learning. Furthermore, we constructed our web app’s backend, which stores the students’ photos and handels the login, using MongoDB and PostgreSQL. Lastly, we deployed the website using Heroku.
Machine Learning
In order for the faces to be recognized we implemented a ml algorithm that constantly runs in the backend. Specifically, this algorithm utilizes deep metric learning which essentially returns a feature vector. So the first part of this algorithm occurs when the ml encodes a dataset of one image per person into 128-d vectors. From there the algorithm utilized the euclidean formula (distance formula) to find the distance between millions of segments between facial parts. Then it compares the input image to the one in the database. From here, every image that is taken is first identified as the name of the person, encoded to improve the accuracy of the program, and then deleted from the server. This allows the program to improve its accuracy without violating the privacy of students by storing images. Since we used a k-nn we didn’t have to train millions of images, as we used a pretrained network with 99.3% accuracy and implemented the algorithm onto there.
Challenges we ran into
The issue that took us the longest to solve was that the camera wasn’t visible to the user when we deployed the website to heroku. Because all of our machine learning backend and flask integration was written in the python file, heroku couldn’t stream that to the frontend properly. After a lot of research, we realized that to solve this problem we had to write the image capturing code in html / js instead of python and connect the frontend to the backend through post requests. After restructuring the entire code, we finally solved this problem and when we deployed it to heroku, it worked!
Accomplishments that we are proud of
Considering that we went into this hackathon with low expectations (as we couldn't imagine ourselves building a working website, machine learning model and backend in less than one week), we were really proud of our final result. We stepped up to the challenge and pushed our limits, and we were pleasantly surprised at our end result. Although there were a lot of features that we didn't get to adding, we ended up creating a product that incorporated a lot of the original ideas. Creating a working web app that uses machine learning to save lives in our local and global school’s truly fulfilling and satisfying.
What We learned
We learned a lot during this hackathon. First of all, we learned a lot about machine learning this hackathon. Most of us had only used ml for nlp and text-based AI applications before before but learning how you can use it with cameras for things like face detection was definitely surprising. Not only did we learn a lot about programming, we also learned how to work together in a high pressure environment. Since this was a virtual hackathon, we had a lot of difficulty at the start keeping track of each other. But then, we started assigning roles, keeping track of our project through range.cc (a tool that none of us had used before) and regularly talking with each other on slack. After that, our project began flowing much more smoothly and by the end, we were able to complete it!
What's next for Safe School
We are going to refine the app more by getting expert opinions. Once the app is completely finished, we will need to get it approved in our local schools and test how well the system works. We would then introduce a survey to the students and see their thoughts on this new way of taking attendance. We would then use our survey results and show other schools how effective the system is and why they should incorporate it as well. After all of that is done, we will share it to the world about it and hope that it goes viral so that we can save time and lives!
Built With
css3
flask
html
javascript
machine-learning
mongodb
postgresql
python
react-js
Try it out
github.com
safe-school.herokuapp.com | Safe School | Automating the attendance system to save student and staff lives | ['Mihir Kachroo'] | [] | ['css3', 'flask', 'html', 'javascript', 'machine-learning', 'mongodb', 'postgresql', 'python', 'react-js'] | 51 |
10,079 | https://devpost.com/software/food-fetch-srg2ah | Inspiration
Much like other high schoolers during quarantine, all three of us started to get extremely bored being stuck indoors all day. We wanted to try something new, perhaps start a new hobby. We thought that maybe we should start cooking, after all, it was what our moms had been pestering us to learn since we entered high school. Before we started, however, one question crossed our minds.
What do we make???
There are so many recipes out there, recipes from many different cultures and cuisines, and all of them as delicious as the next. Not only did we wonder what we could make, we wondered if we had the proper ingredients to make them, we knew that our kitchens were full of food, but was it enough to cook whatever our hearts desired. It all felt very overwhelming, a multitude of possibilities that scared us away from cooking. That's when we had the idea for Food Fetch.
What it does
The main purpose of Food Fetch is to solve the question, what do I make? The app can take a picture of your pantry and/or your fridge, and it can detect what ingredients you have. For example, if you take a picture of your fridge, our machine learning may detect your fruits, vegetables, meats, dairy products, etc. The app will then put add all your ingredients to a list called "My Ingredients", a list that you can edit manually by hand, or by scanning more pictures. You can then search for recipes that you can make, our large database has thousands of recipes from multiple websites. The app will run through your ingredients and search our large database to see if you can make anything. It will then return them all, and you can scroll through them to see if there's anything you would like to make. You can even filter through the recipes in any matter you chose. You can search by cuisine, meal-type (breakfast, dessert, etc.), and even more basic searches such as egg (it will return recipes with egg in them) or cookie (cookie recipes). If you find recipes that you particularly like, you can save them to your favorites. The app inspires you with new recipes and helps broaden your culinary horizons by letting you try many new types of foods. You can also use the app to check what ingredients you have, this could be useful if you are on a grocery trip, and need to figure out what you need to buy. The camera detection is an easy and efficient way to not only learn new ways to cook, but to also keep track of what ingredients you own.
How I built it
We used a web scraper built with Beautiful Soup and a library called Recipe-Scrapers, this scraper was built in python. The scraper parses through our database of recipes, and looks at your ingredients to see what you can make. The application was made with Java in Android Studio, we integrated the python code with our Java app using Chaqoupy. We also built a machine learning model using Tensorflow and python. The ML model was connected to our parser and Java application using Google Firebase. With Firebase we were able to store users’ pictures in the cloud, and out machine learning model was able to detect the images and send it back to the app. These three separate components, the web scraper, application, and ML model we’re out together to build Food Fetch.
Challenges we ran into
We ran into multiple challenges while building the app. We were confused as to how we were going to integrate python and the Java app, we then found chaqoupy and used that to connect them. Another issue we ran into was connecting our ml model and app through firebase, it took a while, but through research we figured it out eventually.
Accomplishments that we’re proud of
We’re especially proud of the machine learning model, it took a while to learn, and we’re very happy that it works with a high accuracy. We’re overall very proud that we were able to put together an app that’s functions properly.
What we learned
We learned a lot while building Food Fetch, we learned how to implement two languages together, in our case, python and Java. We also learned how to build a ML model.
What's next for Food Fetch
We want to eventually publish the app to the Google Play Store and the IOS App Store, before we do that though, there are some upgrades we want to make to Food Fetch. We want to add more ingredients that our model can detect, as of right now the app is in a beta state, and can only detect some foods. We also want to add a feature in which you can craft menus for the day. With this feature, you can add specific recipes to the breakfast section, some recipes to the lunch section, etc. This feature can help you make meal plans for you or your family and can help organize your cooking schedule. We also want to generally "clean" the app up with a nice and easy to use GUI.
Built With
chaquopy
firebase
java
python
tensorflow | Food Fetch | Get inspired by learning new recipes based on the ingredients you have! Our app scans and recognizes your ingredients with ML, and searches our large database of recipes to tell you what you can make. | ['Arul Sharma'] | [] | ['chaquopy', 'firebase', 'java', 'python', 'tensorflow'] | 52 |
10,079 | https://devpost.com/software/again-vui0w1 | Inspiration
Few days before the start of the quarantine in Morocco, we were walking down the street and we saw a homeless guy trying to find food. Going back home, we were wondering what can this guy do if the quarantine gets imposed on us, Moroccans. A few days later, that was exactly what happened: we were quarantined. Thinking about that guy we saw the other day, we started brainstorming solutions that we can build as computer science passionates to make him and many others in the same situation as he finds a shelter especially during this tough time when they can be easily infected by the virus, as likely as easily spreading it. After seeing Covidathon, we believed that this is our chance to make our solution reach more people and to take the first step in making an impact.
What it does
Again is a solution that aims at securing shelter for homeless people during the lockdown by matching associations and organizations that deal with homeless people and house donators.
The solution also creates jobs for people who have lost their jobs by being applications' reviewers (more details about this below).
To secure shelter for homeless people, the application allows users to create accounts as an association, a house owner, or an applications' reviewer. All of the different types of users enter useful information about themselves when registering (details about the registration information required from each type can be found on the demo site):
As a house owner: anyone who possesses a house or multiple houses can donate them via the application by filling a house donating application. The application asks for information about the house/s that the user would like to donate. This information includes the location of the house, the area, but most importantly a document proving that the user owns that house. The purpose of this proof is to reduce the wasted time after matching an association with a user that does not really possess the house. This proof document will be processed by an AI system that will either validate it or not. If the document is validated, it will be available to applications' reviewers to match it with an association. If not, the donor’s application will be withdrawn. After the donated houses have been matched with an association or more associations (if there are many houses that a lot of associations can use), the contact of the donor is given to the associations so that they coordinate to finalize the donation process.
As an association: after registering in the application, associations can submit applications asking for matching with a donor. An approximate number of homeless people who will benefit from the donation should be specified in the application. It is then the job of applications' reviewers to review the application and decide on a match with a donor.
As an application reviewer: applications’ reviewers are people recruited through the application in order to review the associations’ applications and match them to house/s donors. To be an applications' reviewer, one must apply to the job through the website (applications are available in case of need when the amount of applications is too much). Applicants must provide their personal information, but most importantly, proof of losing their job because of the pandemic. This proof can be of any kind: a screenshot of an email of firing (the email should be forwarded later to make sure it comes from a recruiter, a document..). This proof of losing a job, plus the first-come, first-served basis, and the description of the need in the application are the factors that the admins are going to rely on when assessing applications. Each applications' reviewer will get associations’ applications on a weekly basis. Their job is to assess the need for associations and match them with house donors in the same locations. They also have to distribute the houses in an optimal way taking the need and the impact into consideration. Applications reviewers get paid from donations to the web application. These donations have nothing to do with the house/s donations, they are monetary donations that can be done through the web application to a specific bank account for this purpose. Anyone can donate including people not registered under any type in the application. More on how application reviewers get paid in the section below.
Payment Policy
Applications reviewers will get paid from donations. Since donations are uncontrollable, our team came up with an adequate solution. Applications reviewers will get a token for each application reviewed and thus an association matched with a donor. The value of a token changes on a weekly basis depending on the donations received. Here is a hypothetical scenario: we have 3 applications' reviewers who have reviewed 10 applications each, this means that each applicant has earned 10 tokens, making 30 tokens in total. The amount of donations received in this week is 300 $, implying that a token is worth 10 $. In this case, each reviewer will receive 100$ for this week. However, this method is not good if the amount of donations for a certain week is very high, let’s suppose that in the same previous scenario, the amount of donations is 30000 $, then a token will be worth 1000$. This also means that an applicant will earn 10000 $ for a single week. This might be not fair for other applicants who will join in the coming weeks, and when the donations will be very much lower. To solve this problem, we decided on having a maximum amount that a token cannot exceed so that if the amount of donations is high, we save it for later weeks.
Going back to our scenario, if we set the maximum worth of a token to be 20$, and having 30 tokens to issue, we will spend 600 $ and save 29400$ for upcoming weeks.
Important notes:
Before associations submit their applications, they have to agree to some terms and conditions. An important condition is that the associations should engage the beneficiaries in society by making them help either by doing a job, volunteering or helping other homeless people. The goal of the application is not only to find shelter for these people but to try to engage them in society especially during these tough times when we all have to unite.
Link to the document about using AI in Again:
[
https://docs.google.com/document/d/1RNNpGf3MIhp-lksVtGzXkH7Tb91Ilw4gRw7AJmu27bA/edit?usp=sharing
]
How we built it
To build our web app again, we (team members) divided the work into three parts:
The front-end part (Mohamed Moumou): This part consisted of designing each web page in the web app. The story of AGAIN and all the scripts in the web app. Also, building the actual web app front end using the react framework.
The back-end part (Ouissal Moumou): This part consisted of designing the database and building the actual back-end of our web app using the express.js framework, MongoDB(for the database), and APIs.
Deployment (Ouissal Moumou & Mohamed Moumou): We used Heroku to deploy either the back-end and the front-end app.
Accomplishments that we're proud of
The team of Again is very proud that he is thinking about homeless people when everyone is thinking about the problems of the homeful ones. It does not mean that homeful people’s problems are not urgent, but it means that there is a huge part of society that struggled and now struggling more because of the COVID-19 outbreak that needs urgent help and re-integration. Another accomplishment we are proud of is that our idea is providing jobs for people losing their jobs.
What's next for Again
1- Implementing AI solutions in our App,
2- Adapting the services offered by the app to every country's laws,
3- Make our web app available in many languages (Arabic, French...).
Helpful hints about running the application in our demo site:
http://againproject.herokuapp.com/
If the page returns an error message from Heroku, just refresh the page and it will work.
Here are some login credentials for quick testing of the application:
For an association: **
email:
tasnimelfallah@gmail.com
password: Tasnim123
*
For a house/s donator: *
email:
mohamedjalil@gmail.com
password: yay yay
*
For an application reviewer: *
email:
badr@again.com
password: Badr123
**The information and metrics shown on our app are fictional.
Built With
heroku
javascript
mongodb
node.js
react
rest-apis
uikits
Try it out
againproject.herokuapp.com
againbackend.herokuapp.com
github.com
github.com
docs.google.com | Again | Again is a solution that aims at securing a shelter for homeless people during the lockdown by matching associations and organizations that deal with homeless people and house donators. | ['Mohamed MOUMOU', 'Ouissal Moumou'] | ['The Wolfram Award'] | ['heroku', 'javascript', 'mongodb', 'node.js', 'react', 'rest-apis', 'uikits'] | 53 |
10,079 | https://devpost.com/software/soteria-nve0wa | Inspiration
The inspiration for this project comes from our shared desire to support the health care workers. Our primary objective through this platform is to provide an Airbnb alternative for the front line workers. Being in a high-risk category, finding a place to temporarily stay to keep their families and community safe should not be another hassle for them. Secondly, this platform creates incentives for the landlords to have consistent renters. In these uncertain times, the workers are getting employed and paid, so they will definitely pay the rent for these properties. This creates a healthy supply and demand to be used in the practical atmosphere of this global pandemic.
In short, COVID-19 has created a marketplace for secluded housing.
That is why we bring you 'Soteria'. Just like the name, Soteria, which signified the goddess of safety in Greek mythology, we are here to bring safety to medical workers. Our easy-to-use platform provides shelters that can be rented out during the pandemic. Our web application can protect the housing market from completely collapsing while protecting the heroes who are carrying our communities through these unprecedented times.
What it does
Soteria addresses the immediate need for housing for frontline workers. To begin with, a user can securely log in/sign up to our platform either as a ‘Covid Warrior’ or a ‘Landlord’.
Upon logging in for the Front Line Worker, one can search the houses at any location by entering suburb or city. Then they are served with all the available housing options along with photos of them. Upon clicking any of those housing options, the user can see more information about them like the Rent, Location, Additional Notes, Contact of the property owner.
On logging in as the Landlord, one can view all the houses/units that he has posted. The user can add even more properties along with images to bring a more visually appealing ad and increase customer confidence.
Additional Features:
We have an amazingly comprehensive chatbot which asks information from the user and generates user-specific advice regarding their health and wellbeing
COVID Info Page: Along with supporting health care workers, we aim at providing reliable information on COVID. The COVID page contains info about the symptoms, causes, prevention, and more regarding the pandemic.
Health care workers, also known as "COVID Warriors", on our platform are able to search houses at any particular location.
They can access rentals that are strictly available to them and landlords are able to guarantee that their rentals are being put into use with consistent cash flow.
Once entering the platform, the user is given the option to 'log in' or 'sign up'. The user is able to register as a "COVID Warrior" if they are a health care worker giving them access to exclusive rentals available to them in the location that was searched upon. This provides the user with several rentals with each including the location, price and images to better analyze. If interested, the user is able to then contact the landlord.
If the user is a landlord, they can follow the same registration process and indicate their "landlord" title. This provides the landlord access to their personalized dashboard that shows their rentals. The landlord will be given the option to add rentals through the dashboard while providing all the necessary information (i.e location, photos, etc.).
How we built it
There were several different tools that were used to build this project. Our platform is a full-stack web application that is through the use of
Python
framework
Django
. For the database, we used
SQLite
. Moreover, we used the Materialize CSS to speed up the style aspect of the project.
In a team of 4, we tried to divide the work as evenly as possible as follow:-
Aditya Goyal - Handled the Django framework and rendering of templates. Also added tests and Continuous Integration/CD with TravisCI for a more robust product.
Turja - Maintained the database and file handling.
Roan Numan - Created the data for the chatbot. Handled the Front end of the project
Ankitha - Got reliable information for the website. Worked with the Maps API
In the end, we all unified the feel of the website, especially the front end. This allowed our web application to have a consistent structure throughout each page. The
Django
framework enabled our web application to have a well-maintained database that stored secure profile information, images, and location information. Secondly, we used
CSS/HTML
to structure and design the platform with relevant information. In regards to the design of our platform, we also used Materialize CSS. Thirdly, we used
ChatBot
to create an interactive method for users to ask questions regarding COVID19 and access our platform's resources. Fourthly, we used
Figma
to design and create a prototype, allowing our team to visualize the platform. Finally, we used
Github
to work on the platform together and make the necessary changes throughout the hackathon.
Challenges we ran into
Given that the project was divided equally among all the members so almost all the problems we each faced separately.
Aditya Goyal
- After gathering information about how to make the app more reliable, he stumbled upon testing. Although, he dreaded testing because it did not seem to provide immediate value to the code, soon he learned how much it is used throughout the industry and that he should get comfortable with it to become a professional developer.
Turja
- As the database grew, I noticed that some model fields are missing or not being entered correctly. I had to learn how Django uses models which took me more than an hour. I also learned how to properly navigate through Github.
This allowed me to correctly contribute to the team while ensuring that there were limited merge conflicts. I also struggled to use the Mapbox API. I had to break down the code to ensure that I understood what each line entailed. There were many moments where I referred to online searches for answers and I found myself being able to ask better questions as I progressed.
Roan
- Getting accustomed to the chatbot was a challenge for me. I had a little trouble with creating navigation for the statements & responses that would be made by the chatbot. It was also my second time using GitHub to push & pull the front-end code I made, so I was still unfamiliar with that process as well.
Ankitha
- Had very little previous experience with HTML and CSS, so there was a huge learning curve in creating the info pages and integrating the map object into the HTML pages. Additionally, there were some difficulties in enabling specific features in the Mapbox HTML, so we used external libraries to combat this.
The challenges that we faced were unique to each component that was added to the project. For the front-end aspect of this website, it was important to initialize the design using CSS/HTML. For the ChatBot, we faced issues creating a flow of the questions. It was important for us to have a concise path of questions that allows the quest
What we learned
By working in a team on a project like this, we got to know the iterative nature of development. It turns out that nothing is perfect straight outside the box, at least in application development.
We learned to effectively divide the tasks for different people. The trick being, discuss and plan beforehand. Find the person most comfortable with the requirement. Furthermore, trusting your teammates also plays a huge role.
Consistent and constant communication was crucial to our project. As we were located in 3 different time zones, 3 different countries and 4 different schools - we learned to virtually communicate with ease.
It was important for us to collaborate on different areas of knowledge and learn from each other. This all started when we implemented the map API into the platform, each member provided advice as to how it should be done for the best use. Another example is when we took breaks to discuss topics outside of the hackathon, getting to know our interests and career advice.
Each member also learned about a specific field of interest for the following project. As we all interacted with different tools, we learned about new ideas for future projects and ways to improve the ones that are currently in progress (i.e. Django framework, ChatBot, etc.).
What's next for Soteria
Moving forward, we greatly believe Soteria is a platform that can greatly impact the lives of front line workers. We recognize that there are improvements that need to be made, but this current platform well establishes our objective. In order to improve the user experience of Soteria, we plan to use more interactive Maps API, more functionality / improved design and continuous integration / continuous deployment of additional features. We also want to elevate our platform by using machine learning technology that customizes to each user directly, providing recommendations accustomed to their liking. With scaling our platform, we would like to provide a firm authentication service so that the data of our users, both warriors and landlords, are protected.
Built With
api
chatbot
ci/cd
css
django
figma
html
mapbox
python
sqlite
travis-ci
Try it out
github.com | Soteria | Our platform connects medical workers that need temporary housing to socially distance themselves and landlords that need tenants who can pay rent. | ['Turja Chowdhury', '(Adi)Aditya Goyal', 'Ankitha Damisetty', 'Roan Numa'] | [] | ['api', 'chatbot', 'ci/cd', 'css', 'django', 'figma', 'html', 'mapbox', 'python', 'sqlite', 'travis-ci'] | 54 |
10,079 | https://devpost.com/software/grocer-community-app | ideation
Inspiration
COVID-19 pandemic panic buying has emptied shelves of basic needs in all supermarkets, leaving various individuals in the community without access to the most basic needs. Even though supply chains are implementing measures to increase their stock levels, but fear of shortages of food and services are making their stock on site fluctuate every week and supermarkets become high-risk infection areas.
What it does
Grocer Help App is a community driven common platform that helps users optimise their visit to the grocery shops, by informing them about item stock availability in their nearest shops, while reducing their exposure to the virus, eliminating unnecessary movements to risk areas.
How I built it
FireBase
- As backend Database for storing information about various shops
UiPath
- For webscraping
The app is built using Android Native SDK tools with the following libraries.
Google Maps API V2
- for GeoFencing
ButterKnife
- for View Binding
Glide
- image loading framework for Android
Okhttp
- as android Http Client
OneSignal
- Easy Firebase Notifications
Alerter
- For Material Style Alerts
Challenges I ran into
Initially, Webscraping for data regarding various shops has become hectic. However, UiPaths powerful web scraping tool has made our job super simple.
Also, Using Firebase provided by Google Cloud Platform as database helped us to save lot of time.
Accomplishments that I'm proud of
I was able to wireframe and design the whole app within a day.
Later within the next 12hrs, I was able to complete designing the whole functional prototype.
What I learned
I learnt web scraping using UiPaths powerful web scraping tool.
I also learnt to integrate Firebase in Android.
What's next for GrocerHelp App
Add several other stores like pharmaceuticals and restaurants where there is a high chance for crowding.
Built With
android
firebase
google-cloud
uipath
Try it out
github.com | Grocer Community App | Community Driven Platform to help everyone find where the required Grocery and Daily needs are available right now. | ['Sainag Gadangi', 'Nitish Gadangi'] | [] | ['android', 'firebase', 'google-cloud', 'uipath'] | 55 |
10,079 | https://devpost.com/software/drivesafe-ai-driving-assistant | Step 5: Full detection of distraction/sleepiness, alert text, and alert sound playing constantly
Step 3/4: Eye localization, eye-aspect ratio monitoring, and face detection with bounds
Step 2: Face detection with bounds
Inspiration
After observing the community around us, we realized that there are greater than 6 million car accidents per year, and close to 23 percent of them end in fatalities. Car accidents are the second leading cause of death for teens, 87 percent of which involve distracted drivers. We created DriveSafe to tackle this problem and make an effort to reduce these numbers.
What it does
DriveSafe is an automated computer vision driving security assistant. It uses Deep Learning and Computer Vision to identify if and when a driver is distracted or feels sleepy, and accordingly alerts the driver and/or passengers.
How it works
The DriveSafe automated driving assistant was built through a 5-step cumulative process:
A stable, face-monitoring video stream was set up with the use of a webcam
The stream is fed to the laptop, which uses deep-learning facial recognition algorithms to detect the presence of the face in the stream
Once a face is detected, the algorithm performs eye localization and draws eye-shaped bounds around the driver’s eyes
An eye aspect ratio is determined and updated constantly based on the height of the top eyelid to the bottom eyelid.
If the height difference ever crosses a certain threshold (reduces) for a given amount of time, the driver is determined to be distracted or sleepy
Upon identification, a sound is played constantly until the driver is predicted to be focused
How We built it
DriveSafe was built using OpenCV, Python, deep learning facial recognition/object localization algorithms. The website was developed using HTML, CSS, and javascript.
Challenges I ran into
Implementing the face detection with eye detection made it so that there was a lot of lag between frames, leading to less consistent eye detection. We optimized the face detection to have it run a minimal amount of times, and the lag was fixed. A lot of the issues lay with consistency - we had to keep experimenting with parameters to make sure that it would work at least 90% of the time.
What's next for DriveSafe: AI Driving Assistant
Currently, DriveSafe can only be implemented with a webcam and computer--we only had a day to create it. We want to make it more convenient and make it a mobile application that can link with a webcam. In addition to functionality with webcams and Bluetooth webcams, the mobile application will utilize GPS libraries to determine if the driver is exceeding speed limits. This product will essentially eliminate common risks that drivers encounter.
Built With
css
html
javascript
opencv
python
Try it out
github.com
github.com | DriveSafe: AI Driving Assistant | Revolutionizing Driving Safety with Deep Learning and OpenCV Implementations | ['Shrinandan Narayanan', 'Krisha Chokshi', 'Siddarth Mamidanna'] | [] | ['css', 'html', 'javascript', 'opencv', 'python'] | 56 |
10,079 | https://devpost.com/software/tuberculosis-detection-with-tensorflow-js | Inspiration -
Helping Healthcare workers during this Pandemic
What it does -
Simple Platform for the detection of Diseases via Chest X-Rays
How I built it -
TensorFlow.js, Kaggle Dataset & GitHub Pages
Challenges I ran into -
weights.bin corruption while training the model.
Accomplishments that I'm proud of -
Winner of Ideate For India, Winner of Eureka! Junior.
What I learned -
TensorFlow.js
What's next for Tuberculosis Detection with TensorFlow.js -
Improving the Model for MultiClass Label Detection and Detection of Pneumonia - COVID-19
Built With
javascript
tensorflow
Try it out
hemesh.tech
github.com | Tuberculosis Detection with TensorFlow.js | A simple & easy method for the detection of diseases with X-Ray Images | ['Hemesh Chadalavada'] | [] | ['javascript', 'tensorflow'] | 57 |
10,079 | https://devpost.com/software/helmet-detection-and-number-plate-extraction | Inspiration
Detection of bike rider without wearing helmet, and extract the number plate and store it into cloud database and send SMS to respective rule violators.
What it does
Using the existing video feeds from the cameras positioned on highways, traffic signal & busy roads, conduct the following:
Detection of bike rider with / without wearing helmet
Extraction of vehicle license plate
Generation of receipt of bike rider without wearing helmet
Send SMS to registered mobile number
Introduction:
Now-a-days two wheelers are the most preferred mode of transport. It is highly desirable for bike riders to use a helmet, but wearing helmets is often neglected by riders worldwide leading to accidents and deaths. To address this issue, most countries have laws which mandate the use of helmets for two-wheeler riders. In addition to the law, there is a significant proportion of the police force that discourages this behavior by issuing a traffic violation ticket. As of now, this process is manual and tedious. The proposed system is to solve this problem by automating the process of detecting the riders who are riding without helmets. Furthermore, the system also extracts the license plate, in extraction of license plate algorithm has five parts: image procurement, preliminary processing, fringe detection and segmentation, feature extraction and recognition of character number plates using suitable machine learning algorithms so that it could be used to issue traffic violation tickets. The system implements machine learning and image processing techniques to detect riders, riding two-wheelers, who are not wearing helmets. The system takes a video of traffic on public roads as the input and detects moving objects in the scene. A machine learning classifier is applied to the moving object to identify if the moving object is a two-wheeler. The license plate is provided as the output in case the rider is not wearing a helmet.
link
Built With
cloudmessaging
firebase
opencv
python
tensorflow
Try it out
drive.google.com | Helmet Detection and Number plate Extraction | Detection of bike rider without wearing helmet, and extract the number plate and store it into cloud database and send SMS to respective rule violators. | ['Pramod Paratabadi'] | [] | ['cloudmessaging', 'firebase', 'opencv', 'python', 'tensorflow'] | 58 |
10,079 | https://devpost.com/software/quizvid-19 | Inspiration
COVID-19 is a serious issue in the world today. Current efforts to solve and alleviate the severity of COVID-19 is being done but not much people know about the actual facts of COVID-19. In our opinions, the key to solve this issue is to get more and more people to know about the true facts of COVID-19 and what they can do to help. After doing hours of brainstorming and research, we found out that if we could get not only adults but also children to know more about COVID-19, it could possibly alleviate the severity of COVID-19 in the world today. Thus, we created our app with a slight twist to it: we filled the app with different interesting games for you to learn more about COVID-19, which is presented in a subtle and gentle way to help children understand. There is, of course, also information which you can read if you prefer it that way.
What it does
Our COVID-19 app has several sections. Firstly, there is a quiz which you can do to test out your carbon footprint and see how many Earths it would take if everyone lives like you. In the quiz, it asks you few simple questions about your daily lifestyle. After you have completed the quiz, you get to know a cool fact (if everyone lived like you, how many earths it would take) that might serve as a motivation to what you can do to help alleviate the severity of climate change! (Note: we decided to include this feature in our COVID-19 app to raise awareness about not only COVID-19 but also climate change!) Secondly, there is a short quiz on COVID-19 which tests your knowledge on general information on COVID-19. This quiz allows you to learn from your mistake and gain more knowledge on the basic facts of COVID-19. Thirdly, there is a place for you to learn more information on COVID-19. Even if you think you know everything about this issue, there is always more to learn! In this section, you can choose to either read facts or generate facts. Both ways are great ways to learn but it all depends on you and how you learn best! Fourthly, there is a place where you can learn about how you can help. This section is also divided on to two sections, a fun game or a short passage to read. The game is where you have to answer true or false questions of what you should do to contribute to alleviating the severity of COVID-19 while also playing a game. The game is mischievous so get ready! Also, there is an instructions page before the game starts. Additionally, there is a place for you to learn how the ongoing pandemic (COVID-19) has affected the world. There are lots of interesting and very surprising facts and diagrams that we have created ourselves so make sure to look and read through that! Specifically, the diagrams and text compare aspects of the world before COVID-19 and during COVID-19. Last but not least, there is a tab for collection of games relating to COVID-19. These creative games are fun and are meant to motivate people.
How we built it
How we built this app is through a variety of steps. Firstly, we had to think of ideas to code for and what to include in our app. Secondly, we had to actually code. This step was of course, the most important step, so it took the longest. Over the days of the hackathon, we spent hours working together as a team and programming to make an app that can make a change in the world.
Challenges we ran into
Challenges we ran into along the way were ample. The progress of programming is never easy; a bug in your code can lead to potentially hours of searching for the source of the error. When we started coding for this app, we were first stuck because we had no idea what to code. Then, in order to resolve this issue, we looked around Google for global issues and noticed just how big the problem of COVID-19 is. Thus, we, without a doubt, chose COVID-19 and started working on what to include in our app. We decided that the best way to approach climate change is with a twist: we decided to fill the app with fun games and exciting quizzes to inspire people to join us in the battle against climate change. Over the days of the hackathon, we also sometimes had trouble coding. Sometimes, we as a team would have no idea how to continue. To resolve that, it required preservation, teamwork and resilience. We battled through the obstacles and spent long hours figuring out what to code and how to go about the app. All in all, though we definitely ran into loads of obstacles along the way, it was still a great learning experience.
Accomplishments that we're proud of
In the process of creating this app, there has been times where I feel proud of succeeding but there has also been times where I felt down for not being able to do something. However, I always made sure to know that failure brings you to success! Specifically, we are proud of the collection of games tab. In this tab, there are four games that allows people to interact with the app while also learning more about this issue. The first game is the fun fact generator. This can teach people about COVID-19. The second game is the destroy the virus game. In this game, the player have to try to get the image of the virus to touch the balls while also answering questions about what you can do to help. This is an excellent way to let the player learn about COVID-19 while not feeling bored. The third game is the draw the virus game. This game is directed to children as they are allowed to have fun, be creative while learning. The last app is the catch the virus game. This app is similar to the catch-the-mole game.
What we learned
From creating this app, we have learned that COVID-19 is a much more urgent and serious issue than we thought it was. From researching about COVID-19 to incorporate into my fun fact generator to making games that motivates people to do something about COVID-19, it really upsets me to know that so many people are still in the hospital, battling the virus.
What's next for Quizvid-19
After creating this app, we, as a team, have decided to publish it to the internet so that the public can use it to learn more about COVID-19 in a less boring and more exciting way. Instead of having facts thrown at them, they have the opportunity to learn through games and interact with the app. We are still trying to find more ways to get more people to use this app!
Built With
block-code | Quizvid-19 | Our app is aimed at not only adults but also children to learn more about the ongoing pandemic (COVID-19) in a gentler way: through exciting games, fun facts and lots of other interesting aspects! | ['Lisa Huang', 'Melissa Huang'] | [] | ['block-code'] | 59 |
10,079 | https://devpost.com/software/covid-19-self-assessment-rgcn61 | Inspiration
The medical workers and the support staff were limited. if the situation does not improve in the coming days, it's very hard to come back to the normal lifestyle. So, I decided to build a tool that says about the current risk you have with the symptoms.
What it does
It takes the data from the user about their symptoms and suggests to them what to do next!
How I built it
I build this using HTML5, CSS3, JavaScript using codepen.io
Accomplishments that I'm proud of
This makes people know their risk.
What's next for Covid-19 Self Assessment
I try to collaborate with the doctors to consult doctors over chat, video & voice calls. So by doing this it is easy for doctors as well as patients.
Built With
css3
html5
javascript
Try it out
codepen.io
gist.github.com | Covid-19 Self Assessment | The Covid-19 Self Assessment is a self test of yourself in this crucial situation around the world. This tool will let you know about the risk you have with your current symptoms. | ['Paladugu Sai Harsha'] | [] | ['css3', 'html5', 'javascript'] | 60 |
10,079 | https://devpost.com/software/medocs-an-ei-based-health-care-technology | Submited prototype shows the home page of the medocs app. which has a summarise of he health system.
These shows the features involved in project medocs
Inspiration
the insipration from a self motivation to bringout a drastic changes in the medical society by EMOTIONAL INTELLIGENCE technology.In order to overcome the minor health problems in house itself. and to make the software to be a personal health care device
What it does
categorising emotions into physical and mental.
precautioning the user about the health conditon by the chemical reaction takes place in our body which is deducted by the sensors given by medocs wearable.
How we built it
Challenges we ran into
To recognise the human health condition by the chemical reaction
Accomplishments that we're proud of
the first wearable health care system with EMOTIONAL INTELIGENCE
What we learned
People are always rady to show of their emotions according to their mindset.So the EMOTIONAL intelligence can be brought into this computerized world
What's next for MEDOCS(AN EI BASED HEALTH CARE TECHNOLOGY)
making the appliance and softwares work according to the Emotions of the persons.
Built With
android-studio
calling-a-doctor
cloud-computing
java
javascript
rsa
rvs-encryption
tensorflow
xml
Try it out
drive.google.com
drive.google.com
drive.google.com | MEDOCS(AN EI BASED HEALTH CARE TECHNOLOGY) | MEDOCS - an EI technology, for the future determines your emotion using heatmapping and surfs over your medical status along with the help of an electronic watch with has sweat-sensing techonolgy. | ['SIVA SHANKAR R', 'Keerthi Raajan', 'Bhavikk Patel', 'Harish J', 'YOGESHWARAN RAJENDRAN'] | [] | ['android-studio', 'calling-a-doctor', 'cloud-computing', 'java', 'javascript', 'rsa', 'rvs-encryption', 'tensorflow', 'xml'] | 61 |
10,079 | https://devpost.com/software/project-padhai | Inspiration
What it does
An ecosytem where educators will upload videos of themselves teaching and everytime a new user registers on this ecosystem, he/she will get one course free. After that, they will have to buy it using their credit score.
In order to evaluate a student, Each course will be followed up a bunch of quizzes, some assignments and a major/minor project, the score on these assignments, projects and quizzes will give them credit score accordingly.
There would also be an extra forum and discussions page , where our mentors as well as fellow learners will form a community in order to answer and solve queries of students. Each and everyone could give contribution here.
After every evaluation, a student will get certain amount of credit score which will decide weather he/she can get enrolled into next course or he/she will have to shed some money from their own pocket.
A big pro of using this feature is that it will encourage every student to score good so that they can get maximum amount of discount on the next course they want to get enrolled into.
How I built it
The frontend part is completed and for backend i am still learning backend and databse.
Challenges I ran into
The backend part was a challenge and then to collect or make a community of people who are willing to become mentor or upload videos on this platform.
Accomplishments that I'm proud of
If it gets successful then i will really be proud of giving free education or education at very low cost, also on my platform everyone will get a chance to become mentor .
What I learned
Backend part, i had previouslty worked with frontend but working on backend was new to me.
What's next for Project Padhai
Making this idea successful, collecting more people, making this community of project padhai even bigger.
Built With
bootstrap
css
firebase
html
javascript
mongodb
node.js
react
sass
Try it out
github.com | Project Padhai | To make an educational portal which will help both teachers aswell as students.A global educational platform where everyone will get equal chance to become a teacher and student with a forum for help. | ['Ayush Bajpai'] | [] | ['bootstrap', 'css', 'firebase', 'html', 'javascript', 'mongodb', 'node.js', 'react', 'sass'] | 62 |
10,080 | https://devpost.com/software/redacted-lang | [REDACTED]
An anomalous programming language.
Computer languages have been developed for decades in an attempt to perfect the link between man and machine. But they haven't realized the solution was right in front of them--in the form of Creative Commons-licensed fiction.
Introducing [REDACTED], an anomalous language that reads like a poorly written non-sense SCP. [REDACTED] is based on the writing found in the SCP Wiki. It supports function calls, variables, if statements, expressions, and the wonderful GOTO.
Built With
html
javascript
Try it out
github.com | [REDACTED] | An anomalous programming language. | ['Jason Manuel'] | ['Best Programming Language'] | ['html', 'javascript'] | 0 |
10,080 | https://devpost.com/software/bing-bros | bing bros
why internet make sense when can dont?
inspiration
you ever just read the news or browse reddit and wonder "what if this was a shitpost"? well wonder no more because
bing bros will make any website with images into a shitpost!
what it do tho
replaces every image on the webpage with something similar from bing
how make
we used an implementation of mobilenet trained on imagenet to classify all the images on a page. using these classifications,
we then scrapped bing for a random image of that class to replace it with.
what we're proud of
we bypassed paying for bing api by building our own 'api' to 'scrape' images from bing searches
what we learned
literally any image from bing is a good shitpost
Built With
bing
machine-learning
terrible
Try it out
github.com | bingbros | why internet make sense when can dont? | ['Hansel Li', 'Ian Mah', 'Jacky Zhao'] | ['Best Pitch not from Creators'] | ['bing', 'machine-learning', 'terrible'] | 1 |
10,080 | https://devpost.com/software/boba-clicker | Mmmmmm honeydew
Emily Gitlin won $1. Congrats Emily
I built this for the Terrible Hack Hackathon. Enjoy :3
Stack: React.js, P5.js, Node.js, Mongoose, Mlab, Heroku, Netlify, Material UI, Passport.js, Facebook Auth
Built With
facebook
mongodb
node.js
p5
react
Try it out
bobammo.netlify.app | Boba clicker | Quarantine got me thirsty so I made a simulator for drinking tea | ['Ryan Moore'] | ['Best Bubble Tea Hack'] | ['facebook', 'mongodb', 'node.js', 'p5', 'react'] | 2 |
10,080 | https://devpost.com/software/disdb | GIF
delete 'em
GIF
list 'em
GIF
play 'em
GIF
record 'em
GIF
upload 'em
we build a discord bot that can store large files in a discord channel.
you're welcome.
(docs are on github! feel free to run your own on heroku instance. all of the files are stored on discord, after all ;) )
Built With
discord
javascript
sadness
Try it out
github.com | disDB | we build a file upload/management system in a discord channel. | ['M Evans', 'jacketsj .', 'Auguste Rame'] | ['Best Database Hack'] | ['discord', 'javascript', 'sadness'] | 3 |
10,080 | https://devpost.com/software/deep-fried-derpa | For optimal results, please refresh many times
What it does
Carrying on the legacy of /u/Derpalooza's rotating goose posts on r/uwaterloo, Deep Fried Derpa uses maSheEn LeArNinG to (attempt to) generate daily rotating goose posts in Derpalooza's style.
Try it here
How I built it
10% coding
20% debugging
60% mashing the run button
10% stealing a flask boilerplate from stackoverflow
Challenges I ran into
Deep Fried Derpa sounded like an alcoholic... Still does
What I learned
What's next for Deep Fried Derpa
$ rm -rf deep-fried-derpa
Built With
flask
heroku
python
pytorch
Try it out
deep-derpa.herokuapp.com | Deep Fried Derpa | Carrying on a legacy | ['Victor Kobayashi'] | ['Best /r/uwaterloo Hack'] | ['flask', 'heroku', 'python', 'pytorch'] | 4 |
10,080 | https://devpost.com/software/file-fantasy-version-control-for-humans | Broke
Woke
Have you ever wanted to use "git" but not really understood
where
your files go when you "git" them?
Do you fully understand what happens when you "merge commit"? No, do you? Really?
What if you could get all the benefits of using the command line:
Look like a hacker
No one will try to bother you
Finger workout
...and also all the benefits of the file browser?:
see your entire file history in one place
no need to "switch" branches, see it all at once
Descriptive names like "File1_real(3).jpg", much easier to understand than an ugly
a681fe4
hash
If you're just an Average Joe who wants to have
actual
control over your files, try file-fantasy!
Use the git commands you wish you knew and loved, to produce tangible results all in one folder. If you mess something up really bad, don't bother with
revert
and
rebase
commands: just open up all the files and delete what you don't need.
Life is too complicated. Why make it worse? Honest software like this is the future. And it's distributed - just zip up the entire folder, mail it to your coworkers and let them use file-fantasy to pick up where you left off.
We're on npm! Check out how to get started at
https://github.com/davepagurek/file-fantasy
. Run
npm install -g @davepagurek/file-fantasy
and then run
ff
to get started!
Built With
node.js
Try it out
github.com | file-fantasy | Version control for HUMANS. Make sense of all the copies of copies of files on your desktop! | ['Dave Pagurek', 'Luka Lawford'] | ['Best Version Control Hack'] | ['node.js'] | 5 |
10,080 | https://devpost.com/software/find-your-way-9y80ga | Find Your Way
Inspiration
I wanted to build a web app where people can have fun, which is like a game, it is why I built this...
What it does
Find your way is a website which anyone can access as long as they have an internet connection and a suitable device. At Find Your Way you find challenging steps which you need to pass... It all starts with a black and white start page, the first challenge is to find the NEXT button which is completely black and is placed in a black background. It's difficult, but if you have a good tech knowledge and if you are intelligent you can find tips and find the NEXT button.
After that too you get several steps which are different from each other that you need to pass...
To understand it you must try it out...
It's fun, you will understand how stupid you are or realize how intelligent you are if you pass the whole game without a single failure.... Remember Getting LOL's mean you Fail...
Even at the last moment you find challenges...
Most people won't be able to pass this successfully, try whether you can...
How I built it
I built the website using the help of website builders as well as html, After coding all the pages, I got a free domain at freenom. Then a hosting account was created at infinity free. Uploading files to my website was done through filezilla. After that I also used cloudflare to secure my website.
Challenges I ran into
Some challenges I ran into include building the video. When creating the video I ran into so much of trouble, I spent almost half of the time I spent on building my website on it. It was because of my video being too large due to screen captures that I have added. Also while building the website there were some challenges related to coding that I ran into.
Accomplishments that I'm proud of
I am proud of successfully building this website. Also something that I am proud of is the comments I got from my friends, they were really interested in this website. (They weren't in any other project I did).
What I learned
I learned some coding tips and few animation effects.
What's next for Find Your Way
I will be building a mobile app for find your way too, and I've got to add many more steps and challenges to Find Your Way.
Built With
cloudflare
css
html
Try it out
www.findyourway.tech
www.github.com | Find Your Way | Find the way out of this tricky web app, many steps that require intelligence and co-ordination to pass... | ['Senuka Rathnayake'] | ['SCROOOOOOOOOOLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL'] | ['cloudflare', 'css', 'html'] | 6 |
10,080 | https://devpost.com/software/bigward | Inspiration
I used to love watching the show Spongebob Squarepants when I was a kid. So, I decided to make a web game in React JS where the participants could enjoy playing it first hand!
What it does
This game allows the participant to pick a character (spongebob or patrick) and go around a 2D city playing with them and interacting with the fish.
How I built it
Built the front end using React JS and the backend using Mongo DB.
Challenges I ran into
Coding out the city layout so that it is interactive for the user. Deploying it to heroku was also a challenge.
Accomplishments that I'm proud of
This was a really cool game that I made and I am proud of how good it looked.
What I learned
How to make games in React JS.
What's next for Bigward
I am going to expand on it and hopefully make it go viral so more people play it.
Built With
ai
android-studio
ar
c
c++
firebase
java
machine-learning
python
virtual-reality
Try it out
spongebob-game.herokuapp.com
github.com | Spongebob Game | A React JS Game Based On The Show Spongebob Squarepants | ['Mihir Kachroo'] | ['best who lives in a pineapple under the sea hack'] | ['ai', 'android-studio', 'ar', 'c', 'c++', 'firebase', 'java', 'machine-learning', 'python', 'virtual-reality'] | 7 |
10,080 | https://devpost.com/software/goose-adventure | A fun and unique choose your own adventure game about various water fowl.
Play now at waterbird.me!
Built With
css
html
javascript
Try it out
waterbird.me | goose-adventure | A choose your own adventure | ['Y-Guo Guo', 'Maddy L.'] | ['Best Love Hack'] | ['css', 'html', 'javascript'] | 8 |
10,080 | https://devpost.com/software/nonononotifications | Past Ghosting History
Notification while viewing Past Ghosting History
Notification on Lockscreen
Notification on Homescreen
Expanded Notification on Home Screen
Notification in FB Messenger
The inspiration for our name came from the feeling when you see one of our notifications. It'll get you saying, "NONONO" in no time!
We plead the fifth as to what inspired the idea.
Built With
java
python
Try it out
github.com | Nonononotifications | Hate getting ghosted, and forgetting about it? Use Nonononotifications, and never forget that you're being ghosted again! | ['Kyle Zhou', 'Christopher Hui', 'Ryan Oh', 'Sari Wang'] | ['Best Hack Name'] | ['java', 'python'] | 9 |
10,080 | https://devpost.com/software/npm-website | Inspiration
Some guy put his business card on npx and I figured that you could put really anything you want on there (blog, web app, etc).
What it does
It's basically a website with less fancy graphics that you access by calling "npx website_name" or in my case, "npx @bobbyz/wall". The website itself is a simple wall of comments loaded from a firebase instance. Users may add to the wall and their messages will be added to firebase.
How I built it
Node, javascript, reactjs, and using the npm ink package which alllows you to use react in the cli. You can actually hook up a backend to this as well, and then you'll have your entire web stack on the terminal (react, firebase/server).
Challenges I ran into
Using npm modules is easy and convenient, but actually developing an npm module is a horrorshow. While I was developing this module I kinda got the feeling that someone was hurting my voodoo doll. I'm trying to figure out why my module works flawlessly in the local dev environment but doesn't work at all when its pushed to npm (can't import js modules).
Accomplishments that I'm proud of
It is a novel idea and it's not entirely worthless.
What I learned
I shouldn't develop an npm module unless absolutely necessary.
What's next for npm website
the dumpster
Built With
firebase
javascript
node.js
react | npm website | a "website" as an npm module built with reactjs | ['Bobby Zhang'] | ['Best npm Hack'] | ['firebase', 'javascript', 'node.js', 'react'] | 10 |
10,080 | https://devpost.com/software/the-advonauts | Home page of the website
Inspiration
So I'm in this program called Youth & Government, where students from different high schools basically advocate to solve national and global problems. We also go to conferences here in California, where students from all over California get to meet and collaborate on making the world a better place. Since these conferences revolve around politics, I get to hear loads and loads of people's opinions and thoughts. But after these events end, so many ideas are missed out on, which in turn indirectly hurts everyone,
because I believe that every problem can be solved if everyone came together, regardless of race, regardless of gender, regardless of any other differences, so that the world can be a better place for all types of life on this earth of ours.
What it does
You can submit your ideas and thoughts on the following pages of the website, which will be received by me and I will possibly post it into Instagram (if you decide so).
How I built it
I used some front-end and back-end languages, along with Google Forms to display my ideas.
Challenges I ran into
Since I haven't really used some of these languages I've mentioned, I had to become proficient at it before I decided to go any further.
But the learning process was still really fun, despite my setbacks.
Accomplishments that I'm proud of
I'm proud of submitting a project for my first hackathon! (Yayyy) But I'm also proud of instantly utilizing some new things that I've learned over my time with the project.
What I learned
I got to learn more deeply about some of the languages mentioned somewhere up above.
What's next for The Advonauts
Next, I'm planning on replacing the form by Google to some php powered form, after I learn it of course.
Built With
aos
bootstrap
css3
html5
node.js
npm
sass
w3css
Try it out
github.com | The Advonauts | A website to gather thoughts on common problems, then display them on Instagram @theadvonauts | ['Rashmit Shrestha'] | ['submitted the same hack to multiple hackathons and did not realize this is not a serious hackathon?'] | ['aos', 'bootstrap', 'css3', 'html5', 'node.js', 'npm', 'sass', 'w3css'] | 11 |
10,080 | https://devpost.com/software/vlearn-fxhc3t | Inspiration
Awareness and Education are two of the essential ingredients of developing belief. Awareness has been highlighted by many as a key indicator of success in a range of performance environments. It is arguably the most important ingredient for belief as every other skill, quality, and task you have and undertake can be traced back to awareness. Being aware will give you an insight into your beliefs and whether they are positive or holding you back. But it takes a lot more than information to make kids understand and follow things. While on the other hand education is important to shape an individual. I wanted to make something that helps create awareness, about the do's and don't s of Covid-19 among kids, alongside it being entertaining, immersive, and educational. What better way than games to do this, and as VR is the best immersive technology available out there and keeping in mind the tendency of kids to explore new things, this application has been developed.
What it does
It is a multiplayer Virtual Reality Quiz Application. The app has many topics to choose from to play, which also helps spread awareness about COVID-19, other preliminary things that kids need to learn. It also has a real-time leaderboard of every topic that people choose to play.
How we built it
A. Unity3D- It is built on unity3d which is a powerful cross-platform 3D engine and a user-friendly development environment. I used unity to build the whole game from UI to Realtime database system to the game itself.
B. Google VR SDK - a new open-source Cardboard SDK for iOS and Android. I used the Google VR SDK to develop the VR game scenes, which is not possible without it.
C.Photon PUN - Photon Unity Networking (PUN) re-implements and enhances the features of Unity's built-in networking. I used it for networking.
D. Google Firebase - Firebase is Google's mobile application development platform that helps you build, improve, and grow your app. I used Firebase, to make manage database systems to verify credentials, sore data, retrieve data, update leaderboards.
E. Photoshop - I used Photoshop for the development of user interface elements.
Challenges we ran into
As this is a multiplayer application, to store and retrieve data in real-time (real-time database) I used Google-Firebase (Unity SDK), integrating it with unity has been tough work. As this is the first time I was working on networking using PUN, it has been a problem, as networking is not as easy as it seems to be, with PUN having many internal issues in my version of unity, I had to make the whole non-networking scenes again in a new version that supported PUN.
Accomplishments that we're proud of
I could finish the development of the application in less than a day.
What we learned
Integration of realtime databases with unity apps, networking.
What's next for VLearn
The VR application currently supports Android, Windows and hence the next goal would be to make an ios version, redefine UI, and releasing it to production so that users can have an immersive experience of modern gaming and education techniques.
Built With
c#
firebase
googlevr
photon
unity
Try it out
github.com | VLearn | Immersive Approach To Awareness and Education. | [] | ['submitted the same hack to multiple hackathons and did not realize this is not a serious hackathon?'] | ['c#', 'firebase', 'googlevr', 'photon', 'unity'] | 12 |
10,080 | https://devpost.com/software/titanic-survival-checker | Inspiration
This was a brainwave idea. I thought it would be fun for people to play with parameters and experiment to see how it influenced their chance of survival.
What it does
It has 3 parameters: Class (1st, 2nd or 3rd), Age, and Sex. It uses the Wolfram Cloud API to pass in these parameters and get an output which it then displays -- either "survived or "died"
How I built it
I used a publicly available ML model hosted on Wolfram Cloud, and I coded an Android app to go along with it.
Challenges I ran into
How to make the UI look appealing
Testing the ML model to check results
Accomplishments that I'm proud of
I am proud of the simplicity of the app. It is quite intuitive to use and fun to play with.
What I learned
I learned how to use APIs integrated with the Wolfram Cloud service.
What's next for Titanic Survival Checker
Adding more functionality
Built With
android
wolfram-cloud-api
wolfram-technologies
Try it out
github.com | Titanic Survival Checker | AI predicts your survival had you been on board the infamous disaster | ['Rushank Goyal'] | ['Honourable Mention', 'submitted the same hack to multiple hackathons and did not realize this is not a serious hackathon?'] | ['android', 'wolfram-cloud-api', 'wolfram-technologies'] | 13 |
10,080 | https://devpost.com/software/uwu-roulette-x6d2mw | make it stop
Inspiration
came upon this idea on a fine friday at 4:00 AM
What it does
1/6 chance (like a revolver) to uwu-ify your screen upon click, translating all text into unintelligible uwu speech and changing all images to uwu images. also creates a popup forcing you to watch an uwu video
How we built it
javascript and love
Challenges we ran into
mustering the strength to birth this abomination
Accomplishments that we're proud of
not proud of this at all to be honest
What we learned
spend more time pondering whether we should, less time on whether we could..
What's next for uwu roulette
please do not use this it's so annoying
Built With
javascript
love
sadness
time
Try it out
github.com | uwu roulette | life is exciting and your internet experience should reflect that. 2d is better than 3d. have you ever dreamt of uwuifying your chrome? we never did either! | ['Patrick Zhu', 'George Xu', 'Jerry Xu'] | ['uwu owo uwu owo'] | ['javascript', 'love', 'sadness', 'time'] | 14 |
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