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10,254 | https://devpost.com/software/not-yet-decided-sue1ch | Markets
Leaderboard
History
HomePage - Wallet Locked
WalletProviders
Wallet Details
Markets - 2
Introduction
GuessWise
is a platform for prediction markets using the chain link Price feeds. This will make use of the Chainlink's aggregator contracts on-chain to create markets, at a time to be forecasted at(based on aggregator's
heartbeat
).
Each market represents forecast of a particular price feed and shall have option ranges to choose the answers from. Users can stake any amount into the option they think would represent the price and can win if the prediction turns out to be fruitful.
Features
The platform has three features listed as of now:
Homepage listing the markets active right now
Leaderboard
History detailing the all the participations of a user and their corresponding outcomes
Also it costs zero fees to participate in any prediction market.
Technologies involved
React.js
Metamask, Walletconnect as browser wallets
Solidity smart contracts
Challenges I ran into
APIs to fetch the historical price feeds
Initially, it was thought to query historical API of popular CeFi platforms, to fetch the price feed of the market pairs in concern. However, most do not directly provide the historical price feed API. Some like Coingecko has an option to get the historical data. But the response is not parseable by the chainlink jobs/any other oracles, owing to a search inside an array of
[timestamps, prices]
with an offset of
+- 500ms
from the forecast time.
Therefore the historical price feed is not reliable at least for now. This leaves resolving the market immediately at the forecastTime. In case of high traffic conditions, like the recent DeFi events, an immediate resolution might not be possible. Even if so, it comes a high gas price as the cost. Owing to the senisitivity of price feeds, such a job might need to be handled by a few high reputation resolvers/centrally altogether. In both the cases, a dispute process needs to be established as well.
Given all of these complexities, querying the historical price APIs is left out. Instead, Chainlink aggregators were chosen as the resolvers.
Aggregators seems to solve most concerns.
Each aggregator have a pre-known heartbeat(
3 hrs or so
) and the aggregator contract guarantees a price feed at that time, albeit minor time differences arising from on chain transaction confirmations.
Also each aggregator accepts an answer/price only after multiple confirmations.
All of this means, a decentralized way to serve automatic resolutions for the prediction markets.
There are a few trade offs in creating markets with aggregators as well:
Markets cannot be created at random times, but only in the heartbeat ranges(3 hrs or so). But this felt like an acceptable trade-off for reliability.
What's next for Not yet decided
Allow predictions not just in
ETH
but
ERC-20
tokens as well
Decide if the users can create the markets as well
Allow users to stake any amount. Not just a fixed amount.
Built With
metamask
netlify
react
solidity
typescript
walletconnect
Try it out
guess-wise.netlify.app
github.com | GuessWise | Prediction Markets using Chainlink Price feeds. | ['Viswanath Kapavarapu'] | [] | ['metamask', 'netlify', 'react', 'solidity', 'typescript', 'walletconnect'] | 48 |
10,254 | https://devpost.com/software/nightowl | NightOwl
NightOwl App
Inspiration
We participated in the Colorado Lottery Game Jam and were unfortunately unable to get our Chainlink integration completed i time. We wanted to take this opportunity to learn and implement the technology in another project.
What it does
NightOwl allows users to participate in its yield farm and receive NOWL in return. It connects to Portis and Meta Mask wallets to do so. We also registered an ENS domain, nightowlfinance.eth, to use with the app.
How we built it
We used React and Chainlink, and did all of our testing and deployment with Truffle.
Challenges we ran into
We ran into some confusions with integrating gelato. Also, it seems the public resolver is still running for our ENS domain integration.
Accomplishments that we're proud of
We're proud that we were able to integrate multiple disparate technologies that we don't use as often into a cohesive project.
What we learned
We learned how to interact with Chainlink Oracles and the Chainlink Alarm Clock in addition to furthering our knowledge of React, Gelato and Truffle. Half of our two-person team is experienced with blockchain while the other half is just beginning.
What's next for NightOwl
Our next steps for NightOwl include adding governance and other additional features into the token. We've also begun cultivating a community around the project.
Built With
chainlink
javascript
openzeppelin
react
solidity
Try it out
github.com | NightOwl | NightOwl is a cryptocurrency yield farm that allows users to stake their LINK, DAI, NOWL (NightOwl token) or any accepted ERC20 and receive NOWL as a reward. | ['Ginge Katie Cox', 'Bryan Edelman'] | [] | ['chainlink', 'javascript', 'openzeppelin', 'react', 'solidity'] | 49 |
10,254 | https://devpost.com/software/co-health-stbk2y | Cohealth logo
Inspiration
The delayed processing of claims and the economic cost involved in hiring people who will verify the claims implies that most health insurance claims take a lot of time and also result in reduced reimbursement. Covid 19 exacerbates this issue. I have seen friends struggle with this issue and aimed to build an prototype that addresses this problem.
What it does
Currently this is an active area of innovation in the insurance industry. So the focus is to connect a database of users stored by the insurance with an API interface via chainlink oracle to the smart contract. Twilio API is used for the external identification data. Claim data API is still under construction.
How I built it
I built a mock database of users with health data in postgres. A solidity contract was used for claim verification
Challenges I ran into
The main challenge was building the external adapter and integrating it as a chainlink node. Access to sample data from insurance companies is missing. However I received general hints from my cold calls with Aviva, Metlife
What I learned
Postgres database
Understanding chainlink node
Docker usage
External API usage
--> Learning how to use Chainlink from scratch to build an adapter was an excellent experience
What's next for Co-health
Goal is to get more tangible data and evaluate the proof of concept more effectively.
Built With
docker
javascript
postgresql
python
solidity
Try it out
github.com
drive.google.com | Co-health | An automation solution for insurance companies self serviced by users and powered by chainlink oracles | ['Vijay Lakshminarayanan'] | [] | ['docker', 'javascript', 'postgresql', 'python', 'solidity'] | 50 |
10,254 | https://devpost.com/software/scratch-tbgqsj | Scratch Token
Scratch Winner
Inspiration
Upon finding out that Chainlink released there VRF functionality on testnets, I decided I wanted to make a provably fair chance game that I had not seen done yet.
What it does
Scratch is a scratch card game that provides prizes in link and distributes collected card fees back to the users on round by round basis.
How I built it
My stack included Solidity with Chainlink VRF, Javascript, React, HTML, CSS, Truffle.Deployed on Kovan testnet. I started by testing smart contracts utilizing nethereum/c# and then moved to integrating with the website front end.
Challenges I ran into
A lot of coding humps and bumps along the way to solve small and large problems.These included solidity code debugging and interaction, react utilization. VRF integration.
Accomplishments that I'm proud of
Building smart contracts integrating with new technology.
What I learned
The biggest thing I learned for this project was smart contract development process.
What's next for Scratch
Scratch will integrate NFTs for large prize winners and will be used to learn to develop other provably fair game systems.
Built With
c#
chainlink
css
html
javascript
nethereum
react
solidity
truffle
vrf
Try it out
github.com | Scratch | Scratch is a scratch card game that provides prizes in link and distributes collected card fees back to the users. | ['StephenSTB Bettis'] | [] | ['c#', 'chainlink', 'css', 'html', 'javascript', 'nethereum', 'react', 'solidity', 'truffle', 'vrf'] | 51 |
10,254 | https://devpost.com/software/king-of-the-block | Inspiration
The inspiration behind this project came from learning about Uniswap, chainlinks VRF oracle launching, and also etheroll. I came up with the model for how a liquidity pool type model could be implemented to bootstrap a bankroll for a game of chance.
What it does
There are two contracts. The KETH contract controls the bearer instrument, KETH, which is minted upon deposit of Eth to be used as the bankroll. It also registers games and controls the payout and receipt of winning/losing bets. KETH is always mintable and redeemable with ETH, and the exchange rate is defined by the current bankroll state (ratio of KETH minted/ ETH in reserve).
The King Dice contract controls the first game of chance with 1:2 odds. It is registered with the KETH contract to send bets to and receive payouts for winning bets. This model could be changed to a contract factory where a governance token is used to create new games with unique odds and payouts (future plan).
How we built it
We used solidity, truffle, react.js, rimble-ui from Consensys, and scaffold-eth from Austin Griffith.
Challenges we ran into
It was our first time using Solidity, and my first time using react so it was a huge learning experience to say the least
Accomplishments that we're proud of
It has been a rewarding process to see an idea go from conception, iteration, and realization over the course of the last month. It has been inspiring and lead to other great ideas for how to improve the overall system.
What we learned
SOLIDITY
What's next for King of the Block
We will probably continue working on this at the Eth Online event next month and implement the factory aspect as well as a governance token model.
Built With
buidler
javascript
react
solidity
truffle
Try it out
github.com
github.com
vimeo.com | King of the Block | King of the Block is an online casino with its own ERC20 token. Liquidity providers exchange their Ether for it. Its value grows proportionally to the growth of the casino's funds. | ['Vasily Gerrans', 'Steven Nevins'] | [] | ['buidler', 'javascript', 'react', 'solidity', 'truffle'] | 52 |
10,254 | https://devpost.com/software/nba-betting | Inspiration
This project was inspired by the NBA playoffs that are currently going on because I love basketball and wanted to combine my passions for programming and basketball.
What it does
The app loads information about any NBA game that the user wishes to bet on and allows for the user to bet NBA Tokens on the outcome of any chosen game.
How I built it
The app's frontend was built using React and JavaScript while the backend is mainly structured around using Chainlink and Solidity. Other programs used to assist in building the project were Truffle, Ganache, Infura, and Metamask. Initially, most of my time was dedicated to learning about Chainlink and the other technologies that the hackathon organizers used in their workshops to develop an app. Then, I moved onto the planning stage of my project by creating a document of the different programs I wanted to use and drawing up a flow chart of how I theoretically wanted my app to function. After the planning, I first developed the backend, so that as I designed the frontend, I could decide how to create a GUI that best supports the backend functionality.
Challenges I ran into
One of the biggest challenges was trying to figure out how to work with Chainlink and create code that interacted with a blockchain. As this was my first exposure to blockchain technologies, I had to spend a few days just learning about Chainlink and how to integrate it into my app. Also, this was the first finished app that I developed mainly on my own, which made the whole development process a huge learning experience for me.
Accomplishments that I'm proud of
I joined the hackathon halfway through the event, so as it was, I was very starved for time if I wanted to create a working prototype of my project. I am mainly proud of the great growth in my coding abilities that I experienced over the course of working on this hackathon. I was able to learn and understand a technology that was completely new to me and integrate it into my very first full-blown web app. Being able to say that I learned so much over the course of about 10 days and having something to prove for my efforts makes me very proud.
What I learned
Aside from learning many things about blockchains and how Chainlink can be used to improve smart contracts, I learned many essential skills about app development as this was my first mainly independent project and my first hackathon as well. I learned how to set up a project using several programs, make a backend that could interact with APIs and manipulate data, develop a frontend that best suits my intentions, and how to make my frontend interact with the backend so other people can use my app.
What's next for NBA Betting
Since my NBA Betting app was just a fun project to develop my programming skills, I will not be continuing to further flesh out my program, but instead, with my newfound knowledge of app development, I shall start working on my own personal projects that I can spend much more time on and make to my exact design.
Built With
chainlink
css
ganache
htm
html
infura
javascript
metamask
node.js
react
solidity
truffle
Try it out
github.com | NBA Betting | Bet on the outcome of Nba games using NbaTokens | ['Minh Dinh', 'Daryl Fletcher'] | [] | ['chainlink', 'css', 'ganache', 'htm', 'html', 'infura', 'javascript', 'metamask', 'node.js', 'react', 'solidity', 'truffle'] | 53 |
10,254 | https://devpost.com/software/tradeora | Tradeora - Trade Oracles for Verifiable Trade Loans and Insurance
Tradeora
Tradeora Flow
Inspiration
Tradeora
Tradeora - Trade finance oracles for Verifiable Trade Loans and Insurance
Focus: MicroSmallandMediumEnterprises
Proprietorship business – 10 K to 1 M USD Loans
At the Low end of Goods and Service Tax or NOT yet in GST
Exports - Nuetracueticals, Textiles, Food. Imports – Electronics, Chemicals, Raw Material
Needs access to formal finance
Specific painpoints and Problem Statement
Working capital gaps and “Export/ Import” Credits. They produce BLs for loans.
Input Tax Credit Receivables, and Export Duty subsidies eventually arrive but puts lot of short-term
cash flow deficit
Most of these businesses are operations-oriented and current options for them are very high in
interest rates.
Decentralized solutions are emerging, but they have difficulties in verification due to distance and
jurisdictions and need reliable oracles
What it does
** Trade Finance Oracles for Defi risk mitigation: **
Consent based access through emerging stacks
( Example India – Account Aggregator )
Connectivity through ChainLink adapters
Audited Financials – ITR 3 – India IncomeTax
Bill of Lading Verifications - TradeLens
Ocean Logistics Events – Multiple APIs
Flow-based risk assessments for Lenders / Insurers
How we built it
Smart Contract : Ethereum
Connectivity through ChainLink adapters
Audited Financials – ITR 3 – India IncomeTax
Bill of Lading Verifications - TradeLens
Ocean Logistics Events – Multiple APIs
DAPP - Web3 JS . Truffle , Kovan Testnet
Challenges we ran into
Identification of sources that could feed meaningful data to the smart contracts
Accomplishments that we're proud of
** Connectivity through ChainLink adapters **
Audited Financials – ITR 3 – India IncomeTax
Bill of Lading Verifications - TradeLens
Ocean Logistics Events – SeaRoutes, MarineTraffic
What we learned
The payload management when injecting external data in to smart contracts needs to be designed carefully
The opportunity in EXIM trade is real and is promising to achieve financial inclusivity
What's next for Tradeora
Extend Connectivity through ChainLink to Harmony protocol concentrating on cross-border finance.
Extend Connectivity to Account Aggregator India gateway
Extend Connectivity to other prominent trade documentation platforms
Built With
chainlink
ethereum
truffle
Try it out
github.com | Tradeora | Tradeora - Trade finance oracles for Verifiable Trade Loans and Insurance | ['Carlos Noverón', "Shane O'Neill", 'Chainaim SK'] | [] | ['chainlink', 'ethereum', 'truffle'] | 54 |
10,254 | https://devpost.com/software/2fa-for-smart-contracts-using-chainlink-on-matic-network | two-factor authenticator for smart contracts on matic network
Inspiration
To provide reliable tamper-proof inputs applied to the two-factor authenticator currently adopted by many real-world applications we implement the Google Authenticator for Smart Contracts with a Chainlink oracle.
Chainlink Oracles will have bigger value as they could bring much more information and massive use because of the gas fee reduction derived from the implementation of L2 sidechains.
What it does
We decided the use of Matic Network because It will increase the applicable use cases of this 2FA, due to the benefits: low gas cost, scalability, security, high performance, etc.
This project consists in a Chainlink node scanning the blockchain then picks up on this transaction and queries an off-chain server to validate the 2FA code’s authenticity. Once the Chainlink node receives a response, it delivers this result value on-chain which then determines if the smart contract grants authorization to the original user.
How I built it
Researching, using discord, reading oficial docs, testing and developing.
Challenges I ran into
We need to Implement a chainlink node connected to mumbai matic network.
Accomplishments that I'm proud of
Building trust digital bridge between Chainlink and Matic Network
What I learned
We learned how L2 sidechain works , We dive into chainlink Adapters api. We also have to learn detailed type casting in solidity.
What's next for 2FA for Smart Contracts using Chainlink on Matic Network
We will implement it in many Defi projects.
Built With
chainlink/ea-bootstrap
chainlink/external-adapter
css
digitalocean
express.js
html
javascript
material-ui
matic
python
react
react-dom
react-scripts
solidity
visual-studio-code
web3
Try it out
apptest.digitalbridge.link
github.com | 2FA for Smart Contracts using Chainlink on Matic Network | There are some Smart Contracts that due to its importance requires a second layer of security plus the benefits of Layer 2 sidechain. | ['Javier Salomón', 'Alejandro Pronotti', 'Mateo Hepp'] | [] | ['chainlink/ea-bootstrap', 'chainlink/external-adapter', 'css', 'digitalocean', 'express.js', 'html', 'javascript', 'material-ui', 'matic', 'python', 'react', 'react-dom', 'react-scripts', 'solidity', 'visual-studio-code', 'web3'] | 55 |
10,254 | https://devpost.com/software/chainbooks | Modal to Add Page
Library Page
HomePage
Torus
Inspiration
Wanted to learn more about the blockchain. Curiosity to understand Ethereum, Truffle, and React more. I came with a problem statement.
An idea to bring Authors and Readers on the same platform so that the Author can make maximum profit and Readers can access the book at a minimum price. No middleman, No duplicacy. Only Readers and Authors.
What it does
A platform where anyone(Readers/Author) can upload books in the form of pdf. Readers can also upload the book if the copyright has expired or Author allows it to upload the book. After the upload of the books, first, it goes for the review where it is cross-checked who is the author, and is it the correct book or not? If a book gets verified then the book will be submitted to ChainBooks otherwise rejected.
Readers will be charged on the basis of the number of pages read. ChainBooks will provide limited free coins in the beginning to explore, to try, and will charge to read more. The author will get direct money to his/her account whenever any reader starts reading the book. There will be no middleman. Only the reader and Author.
For the signing of Readers and Author Torus will be used which makes the process simple. Truffle framework of Ethereum will be used to make the dapp.
Overall:
Readers can make their own libraries where they can make their own collections.
The author will have the right to remove their book from the platform.
Readers will have an option to write comments and to give a rating to the book.
Readers will be able to request a book and on the base of demand, the Author will be notified.
How I built it
I used the Truffle framework to write the smart contract and to migrate those. I deployed the smart contract on the Ropsten network and using the web3 and react framework we started interacting with the blockchain. In React first, we configured the crypto cloud wallet (Torus) which makes the signup of the user easy, user just need to select Gmail, Facebook or linked account for the authentication and Torus will take care of creating a wallet.
IPFS is used to store the books and the generated hash is kept in the smart contract. MongoDB is also used to store the basic info of users like the name of the book which has been bought and kept in the user's library. It does not store the hash of the book, only the title. It is done to increase the speed of the project.
A PDF viewer is used to showing the pdf page by page.
Challenges I ran into
Torus is a very new organization and its product is in progress. To understand and to use it was a little tough for us. Writing the smart contract where it returns the array other than unit[] was a little complex. It got resolved using pragma experimental ABIEncoderV2;
There were many challenges with the React, as we were approaching the deadline, our fixes were flexible but quite working.
Accomplishments that I'm proud of
We learned the React, Truffle, Torus, and used IPFS as well, all together. This hackathon gave a huge motivation to complete this project. It was a great journey. It is a huge accomplishment as we were able to build the project completely.
What I learned
We learned the importance of teamwork, leadership, and communication skill. These were the most important things that we learned with this hackathon.
What's next for ChainBooks
Readers can read the book offline as well.
Readers can share the book but it will only open in the app.
The author will have the right to remove their book from the platform.
Readers will have an option to write comments and to give a rating to the book.
Chainbooks will be available at IOS and Android app as well.
Built With
ethereum
ganache
node.js
react
solidity
torus
truffle
Try it out
github.com | ChainBooks | A platform where writers can sell their books without the involvement of any middleman. Very simple platform with the help of a cloud wallet Torus. | ['JASMEET SINGH', 'Surbhi Miglani', 'tushar bansal'] | [] | ['ethereum', 'ganache', 'node.js', 'react', 'solidity', 'torus', 'truffle'] | 56 |
10,254 | https://devpost.com/software/chain-yield-game | Working Diagram
1. Create POD by contract owner
8. You can check winner total prize in right side top - "YOUR TOTAL WINNING"
6. New pod is created and that old pod comes right side with winning and prize details. Owner can disburse amount to all participant.
2. You can see Pod is created and Chainlink Alarm clock is triggered and timer is running
4. You can see in pod, Live interest from AAVE and Yearn
3. One of the participant is joining the pod with DAI token
5. After Chainlink alarm clock recognized that timer is finish, then chainlink VRF declared winner
7. Disburse amount by contract owner
Inspiration
I want to create a no-loss game using different leading platforms and trustless manner for choosing a winner after a period of time. I am working on this idea from the previous hackathon of chainlink at Gitcoin.
So, This is our second phase for this project. In the first phase, we already used chainlink alarm clock and AAVE lending.
But this time we are introducing Chainlink VRF and even more option for the lending opportunity using yearn.finance.
Because I can understand to choose a winner is a difficult task on on-chain. So, Chainlink-VRF will be the best option for us to implement.
What it does
yield-game is a no-loss and crypto saving platform to win interest using trustless blockchain technology. Using chainlink alarm clock, chainlink VRF function, yearn.finance and AAVE protocol
How I built it
This is our second phase.
In the first phase during Gitcoin Hack, we only introduce Chainlink Alarm clock and AAVE.
This time we give more ability to platform to generate interest and select trustless winner using Chainlink VRF Function.
To generate interest,
1). yield farming using yearn finance
2). AAVE lending protocol
Note: Pod is where all participants come and deposit crypto tokens.
When Contract owner will create POD, It chooses method to generate interest from yearn finance(Yield Farming) or AAVE.
And it triggers the chainlink alarm clock to wait until to finish time-period.
During this time period, it accrues interest on the deposited crypto token which is deposited by participants(staker).
And during this time period, anyone can see live interest generate on the dashboard.
Once Time-period complete the chainlink-alarm-clock
recognize it. and then using the callback function of chainlink-alarm-clock, it triggers the chainlink VRF function to get the winner among participant using randomness functionality of VRF.
once Chainlink VRF decides the winner, the admin needs to disburse all the original tokens to all users and "original token + interest" to the winner.
Challenges I ran into
I am using the 2 protocols one is aave and second is yearn to generate interset or yield farming.
So, how they work together with these. then after brainstorming with community members I got to know.
And how to automate winner result. so then, I used chainlink alarm clock which will wait until time period and automatically calls the Chainlink VRF function to decide the winner.
Accomplishments that I'm proud of
Automation of winner declaration using a chainlink alarm clock and VRF. which was the biggest challenge for me to do on-chain. which is now possible by chainlink.
And integrate 2 lending protocols to accrue the interest. which give the advantage of yield farming.
What I learned
I can say now I can use any defi lego or protocol and can integrate with the platform.
What's next for chain-yield-game
This is already the second phase for this project in this hackathon.
We are the initial level of defi or student you can say.
So, We want to audit the contracts. So, we can confirm that smart contract is ready for mainnet.
Built With
aave
chainlink-alarm-clock
chainlink-vrf
react.js
web3.js
yearn.finance
Try it out
github.com | chain-yield-game | yield-game is no-loss and crypto saving platform to win interest using trustless blockchain technology. Using chainlink alarm clock, chainlink VRF function, yearn.finance and AAVE protocol. | ['Sunny Radadiya', 'Rajat Beladiya'] | [] | ['aave', 'chainlink-alarm-clock', 'chainlink-vrf', 'react.js', 'web3.js', 'yearn.finance'] | 57 |
10,254 | https://devpost.com/software/automated-chainlink-oracle-caller-for-oil-price-with-gelato | What it does
This is the smart contract for retriving oil price every specified minutes automatically.
This smart contract will bring the way of commodity price into commodity related DeFi product in the future. (This smart contract assume that it is utilized bycommodity related DeFi product in the future)
How I built it
This smart contract utilize the Chainlink for retriving oil price and the Gelato for realizing automation for executing smart contract.
Built With
chainlink
gelato-network
solidity
truffle
web3.js
Try it out
github.com | Automated Chainlink Oracle Caller for Oil Price with Gelato | This is the smart contract for retriving oil price every specified minutes automatically. This smart contract will bring the way of commodity price into commodity related DeFi product. | ['Masanori Uno'] | [] | ['chainlink', 'gelato-network', 'solidity', 'truffle', 'web3.js'] | 58 |
10,254 | https://devpost.com/software/insurablockhackathon | White Paper Rough Draft
Inspiration
Working for a medical provider, it was apparent that excessive amounts of time and money are wasted in the billing process on both ends of the transaction. Not only this, but insurance policies are often limited to the home state (U.S.) and only with select doctors, which has caused us to miss many opportunities to treat patients. If there were a plan/protocol that had no borders, based it's payout on the local average (+/-) and paid any doctor willing to accept the given amount, I believe that this can revolutionize the insurance industry. People would be insured no matter where they were, medical providers would get near-immediate payment at average to above average rates and both parties (provider and insurance "company") would be able to cut billing overhead immensely.
What it does
At the moment, InsuraBlock is only able to fetch the local insurance coverage data from a sample dataset (we've only really been able to get to work on this for 6 days). The overall project aims to do much more, however.
How I built it
Challenges I ran into
We were people from different parts of the world so communication has been difficult. Finding the proper dataset for this application was tough as well but I believe we found it. Having to spend time clean up my computer to have more storage and energy on the blockchain.
Accomplishments that I'm proud of
Getting the ball rolling on this project and contributing to a wonderful community on the bleeding edge of data tech.
What I learned
Communication and time management will be essential moving forward, the three of us are from all around the world.
What's next for InsuraBlock
Not sure as of yet, financial backing is available provided we can prove this concept. If so, InsuraBlock research and development will go forward at full speed. Looking for developers that wish to join a project like this, we also have a network of medical facilities that can help make real-world adoption a possibility.
Built With
chainlink
ethereum
solidity
truffle
Try it out
github.com | InsuraBlock | Borderless insurance coverage providing benefits wherever and whenever they are needed. | ['Ryan Pace', 'Adesuwa'] | [] | ['chainlink', 'ethereum', 'solidity', 'truffle'] | 59 |
10,254 | https://devpost.com/software/green-energy-farm-gef-token | Inspiration
Green Energy Farm ( GEF ) Token
Wondering the possibility of distributed green power generation grids ...
In this Proof-of-concepts, explored the possibility of automating the real-time tracking of the energy generated
by Green Energy Farm like ( Solar Power Grids ), transform them into universally connected energy tokens.
What's next for Green Energy Farm ( GEF ) Token
Interested to develop the Chainlink oracle and adopters to communicated with Energy charging Unit ( ECU ).
Have to levelup my skill towards it ...
Built With
chainlink/contracts
nomiclabs/buidler
openzeppelin/contracts
solidity
typescript
Try it out
github.com | Green Energy Farm ( GEF ) Token | Automating the real-time tracking of the energy generated by Green Energy Farm, transform them into universally connected energy tokens. | https://github.com/shamb0/cl-chg-2020-agem | ['Shamb0 RK'] | [] | ['chainlink/contracts', 'nomiclabs/buidler', 'openzeppelin/contracts', 'solidity', 'typescript'] | 60 |
10,254 | https://devpost.com/software/wuwei | Inspiration
This price feed intends to be an contribution to the open source infrastructure of the defi space, being a component capable of interacting with multiple sorts of smart contracts and cryptonomic systems.
What it does
It gets currencies prices on USDT pair and with off-chain workers injects such data in a smart contract in the Tezos Blockchain. such data becomes available for other smart contracts. You can find it's sample in the following link
link
.
What's next for wuwei無為
Integrate other price feeds and smart contracts such as atomic swaps abstracting assets representations.
Built With
conseiljs
michelson
serverless
smartpy
solidity
web3
Try it out
github.com | wuwei無為 | off-chain workers which makes bridges between blockchains syncing currencies price feeds | ['Rafael Lima'] | [] | ['conseiljs', 'michelson', 'serverless', 'smartpy', 'solidity', 'web3'] | 61 |
10,254 | https://devpost.com/software/vaze-fitness | Inspiration
All my life I have been into fitness and it has provided me with so many benefits that I hope to share this with other people. For that reason, I am always encouraging people to come to the gym with me and workout. I was doing an internship at Bosch Sensortec where I worked on smart watches. At the time I had heard about Chainlink and the things it will accomplish. I thought it would be awesome to be a node operator and provide real world data to be used on the blockchain. Since I had experience working with smart watches during this internship, I thought it would be a great idea to use my skills and build something like Vaze Fitness where it integrates smart watches and uploads the data to the blockchain with Chainlink. This data can really be anything, but I decided to focus on the heart rate specifically.
What it does
Vaze Fitness connects to smart watches’ servers to access users heart rate data. This data is then stored in databases and used to feed it into Chainlink oracles to be used on the blockchain. Vaze Fitness aims to help the average person build and personalize their own smart contracts without them needing to know solidity or blockchain technology. By doing this, Vaze Fitness intends to bring mass adoption of the fitness industry into the blockchain space.
How I built it
I built it using nodejs. A nodejs server runs in the background and is connected to a postgresql database. The Chainlink oracle uses GET requests to this server to retrieve the heart rate data. Since Fitbit runs on OAuth2.0 it is important that the access token is constantly refreshed every eight hours. It is also important for the data to also be updated regularly since if the Fitbit servers fail, the Chainlink oracle can still access this data as it is hosted in backup databases. This is all presented using an easy-to-use GUI that anyone will be able to use.
Challenges I ran into
I ran into issues regarding my Chainlink oracle not updating smart contract values. This was fixed by setting permission fulfillment on the oracle contract address which I had forgot to do earlier. Another issue was needing to use the httpwithunrestrictedaccess endpoint for Chainlink oracles. I was able to get around this issue by just using regular http get which I thought was only used for https. I also needed to enable this in the startup parameters for my Chainlink oracle. The biggest challenge was being able to compile, deploy, fund, and execute contracts using just Javascript so it can be scripted without any human needing to manually deploy the contract. This was solved using truffle and just scripting the console commands. Ideally a better way will need to be implemented before mainnet. The final issue was just time. There was a lot of features that I wished to implement but I did not have enough time to do them properly within the hackathon time limit.
Accomplishments that I'm proud of
I am most proud of building this idea I had and successfully building a working proof of concept. I did not think I would have it done by the end of the hackathon but long nights till 2am coding away has gotten me to where I am now. I am able to look at what I have made and see that it was as a result of hard work. Nothing is more enjoyable than seeing the fruits of your labour and that perseverance can pay off.
What I learned
I have earned so much as to how smart contracts are made and used. I have learned how to code in solidity, and while not the best at it, I look forward to the skills I will be able to develop in the coming years. Blockchain technology is the future and with Chainlink, we will be able to see some really amazing new applications. I have also learned how to become a node operator. I will be using this information going forward to build a more robust system of oracles that can provide millions of people with their own personal heart rate information.
What's next for Vaze Fitness
First I will be implementing forgot password and email verification. I will then implement more oracles and databases in case one fails and to better decentralize the system. Next comes the improved GUI which will be standardized across pages. The website will be then properly hosted so people can use their own data on the kovan testnet and begin building their own dapps. The next thing will be to provide more options to customize the smart contracts and better background functionality. Right now, there is limited functionality that I hope to continually expand. The biggest task will then be to launch on the Ethereum mainnet. Finally, if things go well, include more support for things such as the Apple Watch and Tezos and expanding the Chainlink oracles to different blockchains.
Built With
chainlink
html
javscript
node.js
truffle
Try it out
github.com | Vaze Fitness | Enabling millions of people to connect their fitness levels to the blockchain and deploy their own personal smart contracts without any knowledge of the blockchain. | ['Phil Van Meppelen Scheppink'] | [] | ['chainlink', 'html', 'javscript', 'node.js', 'truffle'] | 62 |
10,254 | https://devpost.com/software/pairmatch | Match Cards and Test Your Memory
PairMatch Game
PairMatch
Blockchain based Game to find matching icons and get rewards
Inspiration
To build a cool game using Chainlink VRF to generate the Random number for shuffle functionality.
What it does
A Web3 Game where users find matching cards and claim ERC20 token as rewards. The user starts the game by creating a transaction to the
Smart Contract
deployed at
Rinkeby Network
.
This registers the start of the game & requests for the random number from the Chainlink VRF. The Request ID is registered as the GameID which holds the mapping of the Game Stats for the wallet address. On an average, it takes about 2 block confirmations to get the random number after which the overlay is removed, the game timer starts and user can start playing the game. Once the user has finished all the matches, another transaction is made to end the game which results in updating the game stats for the GameID and rewarding 1 ERC20 token to the user's wallet.
Note:
Users must select Rinkeby Test Network on their DApp Browser or Metamask.
Users must have sufficient rETH to make the transactions and pay gas fees.
If this webpage is opened in a Non-Ethereum browser, User can still play the game but there will be no rewards or game logs created.
How we built it
HTML, CSS, JavaScript, Solidity, Web3.js, Chainlink
Challenges we ran into
Slow Response from Blockchain as sometimes it took a long time to get the random number.
Accomplishments that we're proud of
Integrate Chainlink VRF, Hosting on Fleek
What we learned
Chainlink, Game Development
What's next for PairMatch
Multiplayer Gaming
Challenge Options
ERC1155 Integration so that players can get rare NFTs and fungible tokens rewards based on their gameplay.
Multiple card sets to choose from Celebrity, Games, Places, Monuments etc.
Built With
blockchain
chainlink
css
fleek
html
javascript
solidity
Try it out
pairmatch.on.fleek.co
github.com | PairMatch | Blockchain based Game to find matching icons and get Rewards | ['Shachindra Kumar', 'Gaurav Kumar'] | [] | ['blockchain', 'chainlink', 'css', 'fleek', 'html', 'javascript', 'solidity'] | 63 |
10,254 | https://devpost.com/software/bonsai-chainlink | Bonsai Chainlink
Bonsai Chainlink
Bonsai Chainlink Dapp
This demonstrates the three important parts of a dapp and how they should be connected:
The browser UI (ReactJS + Redux)
Web3.js Library
Smart Contract Solidity
Chainlink Oracle (Get price USD/ETH, USD/LINK, USD/DAI)
Ethereum Token Standard have used by app
BonSai (ERC-721): Each Bonsai has id unique, name and price.
Oxygen (ERC-20): Generate when user plant Bonsai, use buy Bonsai.
Functionality
Bonsai Chainlink :
Get price ETH, LINK, DAI follow USD price.
Buy Oxygen token with ETH, LINK or DAI.
Buy Bonsai from stock by Oxygen token.
Planting Bonsai in the collection.
After a certain period of time (2 minutes), each Bonsai will photosynthesize some oxygen.
Transfer Bonsai to friend.
Future Function:
1.Each Bonsai is growed from a seed (generate random from Verifiable Random Numbers of Chainlink). The seed determines the quality of the plant as well as other parameters such as growth rate and price (Legendary Bonsai or Normal Bonsai).
2.The contract has the ability to update properties such as the life of a plant, which will display other forms of the plant such as sprouting, flowering, and fruiting.
3.It is possible to resell the trees you have planted.
Video Demo
Live At (Ropsten testnet)
https://bonsai-chainlink.web.app
How to play
If you are beginer, you would go a tour with app
You would be received 3000 Oxygen to buy first Bonsai
Let's buy
Tada !
Buy Oxygen with Token (Native Token or ERC20 Token)
With ETH
With LINK Token
Step1: Aprrove to smart contract Oxygen token.
Step2: Buy Oxygen with LINK.
With DAI Token
Step1: Aprrove to smart contract Oxygen token.
Step2: Buy Oxygen with DAI.
Transfer Bonsai To Friends
Move Position Of Bonsai
How to run project
cp .env.example .env
Add infor into
.env
Deployment Ropsten
Deploy Contract
yarn install
yarn truffle migrate --network ropsten
Run UI
cd ui
cp .env.example .env
yarn install
Add infor into
.env
yarn start
View in
http://localhost:3000
Built With
chainlink
react
redux
solidity
Try it out
bonsai-chainlink.web.app
github.com | Bonsai ChainLink | This is NFT game for buying and selling bonsai built on Ethereum platform with ChainLink Oracle. With tokenized Bonsai are ERC-721 and user must use Oxygen to buy it and Oxygen is ERC-20. | ['Le Cong'] | [] | ['chainlink', 'react', 'redux', 'solidity'] | 64 |
10,254 | https://devpost.com/software/cashback | Inspiration
Defi flourishes on the Ethereum platform, but it comes with limitations that eth has not been able to overcome: transaction validation time and transaction fees are too high. The peak times of transaction costs on Uniswap went up to $ 50 just to transfer $ 10. Harmony has improved on those two and could be the perfect place for building Defi applications. Therefore we want to build a new Defi application on Harmony platform with a completely new concept inheriting the idea of lending and borrowing.
What it does
Cashback is an e-commerce platform that allows users to purchase items for a refund in the form of HRC20. Each product will have a corresponding refund rate. After being reimbursed in HRC20 form, users can staking that amount of HRC20 to be able to Yield Farming to generate a corresponding ONE, after each day 2% of the HRC20 is converted to ONE. Therefore it will stimulate the user to buy so that it can increase the rate of pay normally. Users can withdraw the converted ONE at any time they want, however when withdrawing the HRC20 amount will be burned corresponding to the percentage of ONE withdrawn. This will stimulate users to staking the HRC20 amount to be rewarded with more ONE.
Chainlink integration
Aiming at the converting needs of buyers. We have integrated Chainlink blockchain technology to fetch the price of ONE and convert the price of the product from ONE to USD. This makes it easy for people to know how much the product is worth in USD.
Activity diagram
Users will have 2 main streams to interact with Cashback
Buy item activity :
Withdraw interest activity:
Using
Landing page:
Market - Where you can choose product to buy:
Select item:
You must sign in before buying and sign transaction:
Transaction successful:
Show purchased products:
Interest will be increased daily based on the amount of Sun coin you hold:
You can withdraw the interest at any time but the sun coin will be burned:
How I built it
Cashback is built on 2 smart contracts, Market and Point. Market is used to coordinate activities on exchanges such as buying, selling, withdrawing money, ... Contract Point is a temporarily customized HRC20 contract that cannot be transferred between accounts, but will only play the role is staking and to calculate the amount of daily ONE that a user will be paid for by staking.
On the client side, we use vuejs to build, combined with harmony-sdk to help users interact with the application through MathWallet.Users buy and sell as well as keep Hrc20 cash back through mathWallet
Challenges I ran into
The first is the construction of smart contracts, unlike eth, we can test directly on remixes, to build contracts on harmony we mostly use unit tests to be able to audit our contracts. In addition, the way to interact with the extension wallet is not really perfect.
Accomplishments that I'm proud of
What makes us proud is our idea, although it is inherited from Defi lending, it has not been applied on any real product. If this idea is deployed we think it will have great applicability. To solve the problem of user compensation, we are also building a cross-chain using cosmos to switch between native tokens, which could open up new doors for the Cashback:
Products can be purchased on the app with many different tokens
The exchange fee between the tokens will be used to pay for the staking HRC20 cash back on the Cashback e-commerce platform as well as for the liquidity providers for the cross-chain bridge.
What I learned
We learned how to come up with an idea together and step-by-step completed it. Learn how to divide your work properly. On the technical side, we learned more about a blockchain platform - Harmony, how to build smart contracts and interact with them.We learned how to deal with moving parts and stay on top of constantly changing dependencies and protocols
What's next for Cashback
First, as mentioned above, we are building a cross-chain protocol with cosmos, however the hackathon time is limited so it is not enough time to submit this product - this product will be like a the bridge between Harmony and ETH - from which users can buy and sell products on the Cashback floor with existing tokens.
Next we want to make Cashback a marketplace where people can sell their products at their own rates of return (the competition benefits the buyers). Successful transactions will be charged and this fee will be used to pay bonuses to those who are staking HRC20 cash back when buying items.
Built With
firebase
harmony
javascript
smartcontract
solidity
truffle
vue
Try it out
chainlink-cashback.web.app
github.com | Chainlink - Cashback | The platform pays rewards in the form of tokens when buying products. Inherited ideas from lending and borrowing on defi products | ['Ngô Văn Nghĩa'] | [] | ['firebase', 'harmony', 'javascript', 'smartcontract', 'solidity', 'truffle', 'vue'] | 65 |
10,254 | https://devpost.com/software/keto-recipes-subgraph | Keto recipes ordered by ID. There are 10 recipes.
Keto recipes showing tooltip.
Keto recipes filtered by: with Instructions. There are 9 recipes now. The recipe with name "Roasted Butterflied Chicken" is not shown.
Keto recipes subgraph at thegraph.com's Explorer.
Inspiration
I am new to GraphQL. I think it will be nice have a dApp for users to find Keta recipes implemented with subgraph.
What it does
This will be a simple dApp which connect to the Keto recipes subgraph. The app shows Keto recipes. Users can sort recipes by ID, owner, image and recipes' name. There are filters which allow user select which recipes they want to view. Available filters include recipes with name, with image, with instruction steps and with ingredients. For example, selecting the "With instructions" checkbox will show those recipes which have instruction step; those without will not appear.
How I built it
I learnt from the
Quick Start
guide at thegraph.com. The project has two parts. Part one is the recipes subgraph and part two is the dApp which interfaces with part one's subgraph.
Each of these parts has its own repo. You can get the repo links below.
Challenges I ran into
(1) The following error happend while passing string[] to constructor in Solidity. Use "pragma experimental ABIEncoderV2;" to enable the feature.
"TypeError: This type is only supported in the new experimental ABI encoder. "
(2) Getting familiar to the GraphQL and finding out what files are being generated by "yarn codegen"
Accomplishments that I'm proud of
I deployed the recipes subgraph and modified the dApp for the recipes with additional filteres.
What I learned
I learned GraphQL which is new to me and deployed the recipes subgraph to a Hosted Service.
What's next for Keto Recipes SubGraph
There are at least two enhancements that can be made.
(1) Currenlty the subgraph is very simple. Future version should include more complex model for the recipes subgraph.
(2) Add more functionalities to the dApp, in parallel to the complexities of the subgraph model in part (1).
Built With
javascript
react
solidity
thegraph
Try it out
github.com
github.com | Keto Recipes SubGraph | Find you Keto recipes here. | ['Vincent Wong'] | [] | ['javascript', 'react', 'solidity', 'thegraph'] | 66 |
10,254 | https://devpost.com/software/wings-mvx98z | Booking a Flight
Homepage
Inspiration
We browsed through some example projects last year and saw a common theme in projects that utilized smart contracts. It was an idea that was new to us. We decided that this would be an awesome opportunity to explore what smart contracts were and how to build one.
As digital nomads, one of the first places we booked was Orlando, Florida. However, this was months before the number of Coronavirus cases spiked. We would have loved to been able to condition our Airbnb and travel arrangements based on how safe it would be in our destination location. Which inspired us to land on the idea for Wings!
What it does
Allows consumers and airlines to create smart contracts for travel, conditioned on data we feed in from the outside world. For example, Coronavirus cases.
How I built it
Used a Create-React-App on the front end, Truffle/Solidity on the backend. We went with a factory pattern, where we have one contract managing all of our child contracts that get created. We stood up our own EC2 and RDS instances on AWS to run our own Chainlink node.
Challenges I ran into
This was our first exposure to blockchain and Chainlink. So there was a lot to learn in terms of standing up the contracts, running our own node, and getting an end-to-end workflow working.
Accomplishments that I'm proud of
Running our own Chainlink node and seeing actual contracts managed on the blockchain. We were able to create smart contracts and query data from them to display to our users.
What I learned
Truffle, Solidity, Chainlink, and blockchain technologies in general
What's next for Wings
We'd like to add more types of conditions to the flight contracts. Examples include weather, sports playoff outcomes, and better flight deals becoming available.
We would want to make the oracles themselves decentralized. We're running our own Chainlink node, but would like to have 3-5 running.
We are also only querying from a single data source. We would like to extend each condition to then query from multiple data sources.
Built With
amazon-web-services
github-actions
node.js
npm
react
solidity
terraform
truffle
Try it out
github.com | Wings | The platform offering smart contracts between consumers and airlines to allow for more flexible travelling. | ['David Vargas', 'Nikhil Punwaney'] | [] | ['amazon-web-services', 'github-actions', 'node.js', 'npm', 'react', 'solidity', 'terraform', 'truffle'] | 67 |
10,254 | https://devpost.com/software/global-blockchain-software | Inspiration
I've been exploring digital currencies and how they could be the future of exchanges. I am captivated by the possibility that an idea of monetary forms exists with more prominent versatility, exchanges, and security, that isn't possessed by any person or thing. I accept that through exchanges in digital currencies, we can dodge cheats and debasement much effectively when contrasted with our financial framework at the present time. With the entirety of UN's Sustainability Development Goals, money related and efficient manageability is basic, subsequently moving assets ought to be made more practical. The most ideal approach to do so is through Blockchain Software.
What it does
What the product does is incorporate records of exchanges into blocks that experiences the product to arrive at its assigned objections, maintaining a strategic distance from any danger of bogus withdrawal or hole. As more exchanges are made and more squares are shaped, a blockchain is made which introduces its advanced records onto any PC a square has gone through.
How I built it
I modified the product so it begins with an underlying square with an estimation of 0. This is the primary square, otherwise called the beginning square. The beginning square is alloted. The worth is appointed in the square class alongside any hashes. The square class is called to the primary where the qualities for the hashes yield themselves, introducing a record of the exchange with no rotations.
Challenges I ran into
As I just began programming and I am as yet a novice, I couldn't make an unpredictable calculation inside the blockchain. This is a novice level programming where the exchanges must be inputted in the code itself and not remotely. There is an approach to utilize a scanner to permit input remotely yet it slams into the calculation itself.
Accomplishments that I'm proud of
I am glad that I had the option to complete this. I comprehend that a blockchain isn't anything but difficult to program, yet I was as yet ready to do it. I had issues calling the calculation between the classes yet I had the option to work my way around it through the assistance of strings.
What I learned
I discovered that to code, an unmistakable and quiet mentality is required. There were times when I was stuck and I had the option to get around them by having a cool and receptive outlook.
Built With
java
Try it out
repl.it | Global Blockchain Software | The economy is crashing, once it reaches the point of no return, we will need to rely on crypto. A Blockchain is essential for exchanging and storing cryptocurrency. Now is the time to invest. | ['Faizan Muhammad'] | [] | ['java'] | 68 |
10,254 | https://devpost.com/software/teztanks | Empty
Built With
empty
Try it out
Empty.com | Empty | Empty | [] | [] | ['empty'] | 69 |
10,254 | https://devpost.com/software/styx-65rx78 | STYX is DAI-backed euro, meaning 1 STYX == 1 EUR whatever happens. Right now there is no trustless euro available on Ethereum, it is awaited by the crypto community and beyond. This is now fixed thanks to the pricefeed oracle provided by Chainlink. The targeted use cases are (1) payment (DApps, DeFi, d-Commerce) and (2) trading/hedging.
Security and trustlessness will always remain our main focus, that’s why we’ve chosen to work with Chainlink and the OpenZeppelin’s ERC20 contract. Then, we wanted it to be terribly simple to use: you send DAIs to the contract and you receive your STYXs. Users know they always can sell your STYXs to the contract for the equivalent in DAI at zero fees, this is important because it dramatically increases trust for both users and potential off-chain brokers. In addition to that, we integrated Chainlink with C-Layer which brings the compliance that’s required on this type of project. This will allow us to integrate SEPA EUR derivatives in further versions, constantly lowering the risks.
Before you test the live demo, please make sure your wallet holds Kovan ETH, LINK and DAI:
https://faucet.kovan.network/
https://kovan.chain.link/
https://oasis.app/borrow
At Sep-27-2020 09:39:24 PM +UTC, the very first STYX was issued:
https://kovan.etherscan.io/tx/0x5193dc61bf3a9c7e9d3a9d980ecca1b8a73bde8fce20c2e1c54835ba965070cc
Built With
c-layer
chainlink
ens
javascript
solidity
Try it out
styx2dai.netlify.app
github.com
docs.google.com | STYX | STYX is a DAI-backed Euro for Ethereum. | ['Julien Béranger', 'Bertrand Juglas'] | [] | ['c-layer', 'chainlink', 'ens', 'javascript', 'solidity'] | 70 |
10,255 | https://devpost.com/software/test-7wpoyz | Our Logo
Landing Page
Our Post Board on our Functioning Website Back-End
Profile Screen for a User on KAYR
Sample Screenshots for our Future App Plans
Inspiration
KAYR drew inspiration from the caremongering movement that grew around the world in light of COVID-19. Here, we saw the creation of hundreds of social media groups where people rallied together, often in the thousands, to offer or request help in their local communities. And when people needed advice, grocery delivery or extra supplies, these groups played an important role in helping those in need. Here's an article from the BBC about the movement, which indeed started in our very own Canada:
https://www.bbc.com/news/world-us-canada-51915723
.
Further, our group has been inspired by the actions & sacrifice of so many essential workers on the frontlines. COVID has revealed many gaps in our systems, but also the good in people who to want to serve.
There are many who need help with everyday things in these COVID times, whether for childcare, grocery delivery, advice or more. The Caremongering movement shows just how many people are willing to give that help.
Going beyond social media & Facebook, how do we better connect help with those who need it?
What it does
KAYR provides a platform to connect those who want to help with those who need it. It provides a user interface that is much cleaner than Facebook threads or social media , allowing for users to easily post when they want to offer help or need a hand, filter across these posts & communicate with those that may be a match.
And there's another unique element to this platform, inspired by Blockchain technologies: a Karma system.
Here, we create a community where everyone who joins is rewarded with a certain amount of Karma (1,000 points). Karma can then be shared with other users who help you, thus allowing one to accumulate Karma points... Think of it like XP (Experience Points) in modern games. And with many points, you can move to different Karma Levels. And with new levels, one can unlock new rewards, such as store discounts or coupons (as we envision in the future).
And why is such a system important? Because of the dozens of people we interviewed, 77% of those who needed help from strangers said that it was important for them to recognize or reciprocate an act of kindness, even if not in traditional means. Karma offers a way that people to show appreciation & create a more caring, unified community.
How I built it
I did not build it. The team did.
Each of us had particular roles in the project, with my role being more on the project management & ideation side. For me therefore, it was really important to do market research, with my reaching out to dozens of people across 30+ different caremongering movements in the country. From here, our two tech specialists worked together on the front-end and back-end sides, building out the posting environment on the one end, and screenshots plus a landing page via Wix on the other. For the back-end, a variety of programming languages were used, and in operation, the systems created mimic some of the mechanisms used in the blockchain, especially in the delivery of Karma points.
Finally, we had a video specialist on the team whose job it was to articular what we do, and showcase the work our team did so far (112,000 lines of code!!), plus all the potential we see for this concept in the future.
Challenges I ran into
The greatest challenge for me is that I am not a technology specialist (more on the business side). And hence, the early part of this journey was centered on recruiting teammates to carry this project forward. This proved to be an exhilarating journey, although we did have some issues: One teammate we initially recruited had to drop out due to his school getting in the way. Others also found it difficult to make time in the middle of other commitments.
And yet, we had a team that often worked till 2-3 AM to get things done, sacrificing many a night of sleep. Although there are always challenges for getting together as a team, I'm proud of what we pulled off.
Accomplishments that I'm proud of
This team. Truly, we found a team that complemented each other exceptionally: Each being a specialist in key project tasks. And really, everything else I am proud of is because of this team: The five-minute video we've developed is the brainchild of animator Mai Tran, the 112,000 lines of code mentioned to create a functioning (if still-developing) website is thanks to the work of Tara Mathers. The front-end designs you see is those of Deanna Castano. And beyond that, we're thankful for so much advice given throughout our journey, and particularly from Nikheel Premsagar of the Government of BC who provided us great insights into maintaining the safety of our platform.
When you have a team like this, you can accomplish anything.
What I learned
Humility. This journey was touching for me, as I saw people willing to invest hundreds of hours of their time to make this vision happen. I am eternally grateful to my team. Truthfully, I was not always the easiest person to work with, often demanding, often confusing. But they stuck with it, and we're excited for what we created.
And another thing... We're proud at a personal level for honing new skills in this hackathon that we had not tried much before. Our back-ender Tara built user accounts for the first time. Our front-ender Deanna learned how to use Wix and expressed learning lots about teamwork as well. Our video creator Mai was excited to teach herself a few new animation hacks. And I learned most about communication as a leader & how important it is to listen.
Very early in this hackathon, our team established the importance of giving it our all, learning & having fun in the process! And, while the journey is just beginning, we do believe that we did just that :).
What's next for KAYR
Canadian Thanksgiving! That's the date we've set us to complete our Version 1 web platform & get things launched. Already, we've been doing some betas in a test environment, and do have a few test-users signed up.
And after that, we want to explore a mobile app, likely for December 2019 if resources allow. This is especially due to ~60% of people in our surveys advising they might prefer a mobile interface, although most liked the web as well.
And finally, moving into next year, we want to actively explore two markets: (1) First, we would like to tap into existing caremongering communities in Canada that are organized via Facebook. This has already been started, and we are connected with ~30 such groups in Canada so far. And (2) We want to explore the $2.4B (in Canada) student services market, as we believe there is potential for us to create private, internal KAYR communities for university clients (i.e. a B2B model), perhaps even in conjunction with other social platforms like Facebook or HiQ.
And this is just the beginning... While our initial target is local-focused (in Canada), we see potential for the KAYR concept to gain traction around the world. It will be excited to see how the project develops!
Built With
adobe
amazon-web-services
css
html
javascript
jquery
laravel
lightsail
mysql
php
react
wix
Try it out
kayr.org
app.kayr.org
github.com | KAYR | Bringing people together to help those in need... With an underlying system of karma-based rewards, implemented via technologies like the blockchain, to appreciate those who give back the most | ['Mai Tran', 'Tara Mathers', 'Deanna Castano', 'Shitangshu Roy'] | ['1st Place', 'Pandemic - 2nd Place'] | ['adobe', 'amazon-web-services', 'css', 'html', 'javascript', 'jquery', 'laravel', 'lightsail', 'mysql', 'php', 'react', 'wix'] | 0 |
10,255 | https://devpost.com/software/wecare-5l9dgi | Home Screen of app, which allows you to report your symptoms, check the status of your circle, and get daily personalized tips.
Map Screen of app, which allows you to see hotspots around you and your Care Circle.
Care Circle screen of app, which allows you to health conditions of your loved ones.
Web interface, which can be used to update the symptoms. It is synced with the app.
New logo.
Update with a key.
Hotspots for countries.
Options from the start.
Questions about your health.
Hot spots.
App design
As the outbreak of COVID-19 continues to spread throughout the entire world, more stringent containment measures from social distancing to city closure are being put into place, greatly stressing people we care about. To address the outbreak, there have been many ad hoc solutions for symptom tracking (e.g.,
UK app
), contact tracing (e.g.,
PPEP-PT
), and environmental risk dashboards (
covidmap
). However, these fragmented solutions may lead to false risk communication to citizens, while violating the privacy, adding extra layers of pressure to authorities and public health, and are not effective to follow the conditions of our cared ones. Unless being mandatory, we did not observe the large-scale adoption of these technologies by the crowd. Until now, there is no privacy-preserving platform in the world to 1) let us follow the health conditions of our cared ones, 2) use a statistically rigorous live hotspots mapping to visualize current potential risks around localities based on available and important factors (environment, contacts, and symptoms) so the community can stay safer while resuming their normal life, and 3) collect accurate information for policymakers to better plan their limited resources.
Such a unified solution would help many families who are not able to see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. These urgent needs would remain for many months given that the quarantine conditions may be in place for the upcoming months, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and COVID-19 potential reappearance next year at a smaller scale (like seasonal flu). There is still uncertain information about immunity after being infected and recovered from COVID-19. Therefore, it is of paramount importance to address them using an easy-to-use and privacy-preserving solution that helps individuals, governments, and public health authorities.
WeCare Solution
WeCare is a cross-platform app that enables you to track the health status of your loved ones. Individuals can add their family members and friends to a Care Circle and track their health status and get personalized daily updates on best prevention practices. In particular, individuals can opt-in to fill a simple questionnaire, supervised by our epidemiologist team member, about their symptoms, comorbidities, and demographic information. The app then tracks their location and informs them of potential hotspots for them and for vulnerable populations over a live map, built using opt-in reports of individuals. Moreover, symptoms of individuals will be tracked frequently to enable sending a notification to the Care Circle and health authorities once the conditions get more severe. We have also designed a citizen point, where individuals get badges based on their contributions to solving pandemic by daily checkup, staying healthy, avoiding highly risky zones, protecting vulnerable groups, and sharing their anonymous data.
WeCare includes a contact tracing module that follows the guidelines of Decentralized Pan-European Privacy-Preserving Proximity Tracing
(PEPP-PT)
. It is an international collaboration of top European universities and research institutes to ensure the safety and privacy of individuals.
What we have done during the weekend
Have been in contact with other channels in Brazil and Chile.
We have updated the pitch (extended), app-design and backend connection of the app this week. New contacts with Chile and Singapore. We have also made some translation work with the app. Shared more on social media about the project and also connected to more people on slack and LinkedIn. We have also modified the concept of Care Circle and how to add/remove individuals. Now, the app is very easy-to-use with minimal input (less than a minute per day) from the user. We are proud of the achievements of our team, given the very limited time and all the challenges.
Challenges we ran into
The Hackathon brought together plenty of people of different expertise and skills. There were challenges that we faced that were very unique, as we faced a variety of communication platforms on top of open-source development tools.
Online Slack workspaces and Zoom meetings and webinars presented challenges in forms of inactive team members, cross-communications, and information bombardment in several separate threads and channels in Slack and online meetings of strangers that are coordinated across different time zones. In developing the website and app for user input data, our next challenge was in preserving the privacy of user information.
In the development of a live hotspot map, our biggest challenge here was to ensure we do not misrepresent risk and prediction into our live mapping models.
Also for the testing of the iOS version, we ran to the new restriction of App Store for COVID-related apps, which should be backed up by some health authorities or governmental entities.
The solution’s impact on the crisis
We believe that WeCare would help many families who can see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. The ability to check up on their Care Circle and the hotspots around them substantially reduces the stress level and enables a much more effective and safer re-opening of the communities. Also, individuals can have a better understanding of the COVID-19 situation in their local neighbourhood, which is of paramount importance but not available today.
The live hotspot map enables many people of at-risk groups to have their daily walk and exercise, which are essential to improve their immunity system, yet sadly almost impossible today in many countries.
The concept of Care Circle motivates many people to invite a few others to monitor their symptoms on a daily basis (incentivized also through badges and notifications) and take more effective prevention practices.
Thereby, WeCare enables everyone to make important contributions toward addressing the crisis.
Moreover, data sharing would enable a better visual mapping model for public assessment, but also better data collection for the public health authorities and policymakers to make more informed decisions.
The necessities to continue the project
We plan to continue the project and fully develop the app. However, to realize the vision of WeCare we need the followings:
Public support: a partnership with authorities and potentially being a part of government services to be able to deploy it on AppStore. It also makes WeCare more legitimate. This would increase the level of reporting and therefore having a better overview and control of the crisis.
Social acceptance: though being confirmed using a small customer survey, we need more people to use the WeCare app and share their data, to build a better live risk map. We would also appreciate more fine-grained data from the health authorities, including the number of infected cases in small city zones and municipalities.
Resources: So far, we are voluntarily (and happily) paying for the costs of the servers. Given that all the services of the app and website would be free, we may need some support to run the services in the long-run.
The value of your solution(s) after the crisis
The quarantine conditions and strict isolation policies may still be in place for upcoming months and year, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and possible COVID-19 reappearance next year at a smaller scale (like seasonal flu).
Therefore, we believe that WeCare is a sustainable solution and remains very valuable after the current COVID-19 crisis.
The URL to the prototype
We believe in open science and open-source developments. You can find all the codes and documentation (so far) at our
Website
.
Github repo
.
Pitch:
https://youtu.be/7fMrVqxoPKY
Pitch extended version:
https://youtu.be/Vo0gs3WlptU
Other channels.
https://www.facebook.com/wecareteamsweden
https://www.instagram.com/wecare_team
https://www.linkedin.com/company/42699280
https://youtu.be/_4wAGCkwInw
(new app demo 2020-05)
Interview:
https://www.ingenjoren.se/2020/04/29/de-jobbar-pa-fritiden-med-en-svensk-smittspridnings-app
Built With
node.js
python
react
vue.js
Try it out
www.covidmap.se
github.com | WeCare | WeCare is a privacy-preserving app & page that keeps you & your family safer. You can track the health status of your cared ones & use a live hotspot map to start your normal life while staying safer. | ['Alex Zinenko', 'Sina Molavipour', 'Ania Johansson', 'Hossein S. Ghadikolaei', 'Christian M', 'Seunghoon HAN', 'Tomasz Przybyłek', 'Mohamed Hany', 'Alireza Mehrsina'] | ['1st Place Overall Winners', '2nd Place'] | ['node.js', 'python', 'react', 'vue.js'] | 1 |
10,255 | https://devpost.com/software/fetcha-just-sit-we-ll-fetch-pneswl | Inspiration
COVID-19 shutdowns have been hard on us all, but the food and beverage industry have felt the effects more acutely than others. This has hit our family particularly hard, with our brother having to shut down his venues during the Melbourne lock down. With restrictions still in place and many areas seeing further restrictions added, it has become clear that food and beverage businesses must adapt to this new environment.
Health authorities have recommended that food and beverage businesses move towards separated table service and increase social distancing, with minimal interactions between staff and other patrons. For the foreseeable future, walking up to a busy bar to order a drink may be a thing of the past.
Fetcha enables food and beverage businesses to easily transition into this new world, offering a simple, easy and seamless way to offer table service to patrons. Not only does it help businesses adapt to a post pandemic world, but it also streamlines their business and delivers an amazing customer experience.
What it does
Fetcha is the easiest way for food and beverage stores to offer safe table service to their customers. Fetcha integrates with the merchants point of sales system to build a digital menu, using all of the items merchants have already added into their POS. Merchants can then issue QR codes for all the tables in their venue, allowing customers to simply order from their seat.
Fetcha is a web app that requires no downloads by customers, and comes with Apple Pay, Google Pay and credit card payment built right in!
Menu
Item
Checkout
Online payment
Payment
Thanks
How we built it
Fetcha is currently integrated with the Square Point of Sales system, allowing any merchant with a Square POS to link their account and immediately start using Fetcha. We are also currently building out integrations to other popular POS software, including Kounta, Vend and heaps more!
Our front end code is built using Typescript, React and Grommet UI. Our back end code is built using Typescript, node.js, Firebase Realtime Database and Firebase Functions. This enables us to be scalable and deliver features to our customers fast!
Challenges we ran into
We ran into several challenges around how to make this as easy and seamless for the customer as possible. We are really happy with the QR code mechanism and the simplicity of checkout. We are continuing to work on further integrations with POS vendors to enable Fetcha to reach as wide an audience as possible.
Accomplishments that we're proud of
We are really proud about the seamless UX and the design that we have implemented in this application. We have also have a road map (see below) of all the other features and APIs we want to build out!
What we learned
We have learnt a lot about Square APIs, secure OAuth flows, Firebase Functions and how to use QR codes effectively.
What's next for Fetcha
We are excited to announce a partnership with Chei Wen Wine Bar and Fly Lie Bar in Melbourne! We are planning to launch with these venues as they re-open from COVID-19 lockdown. Both of these venues currently do not offer table service, and would be difficult / unfeasible for them to operate without the use of Fetcha.
We also have a long backlog of features we are developing to incorporate into the app including
Delivery
- we see a great opportunity to partner with Facedrive to enable food delivery on our platform
Menu builder
- offer merchants and even easier process to build their items online, including stock photos and suggested descriptions.
Customer accounts
- integrate with Square's customer APIs to enable card on file payments and a more personalised experience
Rewards & Loyalty
- take advantage of Square's Loyalty API to offer rewards to customers
Merchant branding
- Give merchants the ability to theme and brand Fetcha with their own fonts, colours and logos
Printer
- integrate with a docket printer so orders are automatically printed
Integrations
- integrate with other POS vendors
User experience
- further iterate on the user experience to provide a seamless ordering and checkout experience
...and heaps more!
See it all at
https://www.fetcha.app
See the menu for Fly Lie Bar:
https://fetcha.app/flyliebar
See our code repo at
https://bitbucket.org/kylemantesso/fetcha-app/src/master/
Scan this QR code to pre-populate location and table:
http://fetcha.app/assets/docs/qr-example.png
Built With
firebase
node.js
react
typescript
Try it out
fetcha.app | Fetcha - Just sit, we'll fetch! | Fetcha is the easiest way for food and beverage stores to offer safe, socially distanced table service to their customers. | ['Kyle Mantesso', 'Madison Hunt'] | ['3rd Place'] | ['firebase', 'node.js', 'react', 'typescript'] | 2 |
10,255 | https://devpost.com/software/pathik-vibd2u | Inspiration
What it does
How we built it...
.
Challenges we ran into
.
Accomplishments that we're proud of
. learned
What's next for ...
Built With
javascript
Try it out
github.com | test | . | ['Kritika Singh', 'Akash Bajpai'] | ['4th Place'] | ['javascript'] | 3 |
10,255 | https://devpost.com/software/openaba-wjaicx | OpenABA By The Numbers
Snapshot of Where We're At
The digital session room for behavioral health professionals
OpenABA began as and is a public service
Ease and Speed are Key
Our users taught us how to use OpenABA in-person
Inspiration
OpenABA was developed to support behavioral health professionals deliver therapy remotely and intuitively to their patients remotely and while socially distanced.
Preliminaries
Applied behavior analysis (ABA) is the leading discipline among therapies for childhood autism. As the most data- and research-driven form of therapy for autism, its popularity has grown steadily and is widely used by both care-provider agencies and special educations programs in schools. Tooling in this space has been limited and at the beginning of the COVID pandemic, best practices shared in professional forums often pointed to Zoom screenshares of Microsoft Paint windows, which suffered from latency and responsiveness issues between the therapist and client.
ABA sessions typically consist of a variety of activities designed to develop verbal and reasoning skills, and are guided via a trained therapist. Trained providers are usually either a registered behavior technician (RBT), or a board-certified behavior analyst (BCBA). The provider(s) plans activities (also called "targets"), evaluates client responses (the “behavior” in Applied Behavior Analysis), and delivers intermittent rewards (called "reinforcers").
Controls on tooling in this increasingly specialized field vary by payer and state: though some states and insurance companies have relaxed requirements on diligence on HIPAA compliance, many states still have strict HIPAA-alignment on tools enabling services via telelealth, requiring a business associate agreement (BAA) between providers seeking reimbursement and said provider's software vendors.
What it does
OpenABA allows therapists to deliver services to their clients remotely. In particular, we provide tools to providers for realtime interaction in specially designed activities, activity design and creation, gamification customization (according to the learning plan designed for the child), low-latency, private videochat, and report generation.
OpenABA is also a solution that enables social distancing for clients who require in-person sessions. With the remote control function, therapists can present therapy through two devices such that the client receives instruction through an iPad or computer that is controlled through the therapists phone or another device.
How I built it
OpenABA is built with Next.js and a GraphQL API gateway in the backend. Supporting services include a WebRTC messaging service, STUN and TURN servers, and a media integration with Google Drive.
Challenges I ran into
Our biggest challenge was meeting HIPAA compliance with our realtime features and providing guarantees thereof in a BAA. We achieved this in mid-August, and have since been serving American school districts.
Accomplishments that I'm proud of
We're proudest of the work we do for our users, one of which described OpenABA as "the best software I have used in my career".
ABA professionals from the Philippines and Ireland have sought access (for whom we specially expanded our SMS authentication reach). Beyond the coronavirus pandemic, we are hoping to catalyze the adoption of OpenABA as a means for therapists to serve people in need in remote locations.
As of the writing of this README, what started with three posts on a beta supporting 40-some users from the Telehealth in ABA Facebook forum has grown to over 550 users 100% organically, and special educators and private therapists both have reached out for assistance in adoption into their HIPAA-compliant workflows.
What I learned
Content-wise, our learnings were largely in the variety of activities ABA professionals use with their clients as we fine-tuned our product to simplify and specialize with delivering ABA services. Technically, our gained experience in improving WebRTC videochat capabilities via STUN- and TURN- servers.
What's next for OpenABA
Since launch, over a dozen users across four countries have reached out to volunteer with OpenABA in educational and research capacities.
We are building organizational support so that OpenABA can serve users who require HIPAA-aligned business associate agreements covering PHI.
The team is currently exploring a number of avenues to sustain development, including accelerators, non-profit fundraising, and possible integration into Linux Foundation’s newly-formed Public Health division.
Built With
graphql
next.js
node.js
react
Try it out
openaba.com | OpenABA: Digital tools for behavioral therapies | Simple, effective teletherapy tools enabling childhood autism. 100% organic growth, going on 600 users in two months. | ['Harley Lang', 'Alex Luo', 'Leiming Cai', 'Krystal Guzman', 'Yuan Wang'] | ['5th Place'] | ['graphql', 'next.js', 'node.js', 'react'] | 4 |
10,255 | https://devpost.com/software/covital | Main dashboard
Log in screen for mobil version
Dashboard for mobile
Integration with Airtable!
Airtable Block
more mobile
Diagram of the solution
Diagram of the flow for the band
DISCLAIMER: This application is used for demonstrative and illustrative purposes only and does not constitute an offering that has gone through regulatory review. It is not intended to serve as a medical application. There is no representation as to the accuracy of the output of this application and it is presented without warranty.
Introduction, inspiration and Problem
Let me show you two images. The first image is a car from the mid-1800. This other one is a tesla roadster 2020. You can see huge differences between those two. The mechanical and technological prowess that took place.
Now here are two other images separated by almost the same amount of time...
The first one is from the Spanish flu pandemic from 1918 and the other one is from last month during our current COVID19 pandemic.
And thus lies the main problem...
We are treating the COVID19 pandemic like all the other pandemics in the past, with social isolation and PPE. With all the advances in Biotech, nanotech, AI and other scientific disciplines this is quite a shame. The solutions we are employing are insufficient, in an age where we can get information about almost anything due to technology.
Digitalization in healthcare in Latin America (our region) and even in the developed world has fallen behind and we need to find solutions that can help both doctors and patients with their needs and a great tool to aid us in the fight against COVID19. IF we are going to erradicate or control COVID-19, social distancing and PPE is NOT enough, we need to acurately employ contact tracing.
Most of our focus will be on this aspect of the contest:
Flatten the curve in communities with preventive solutions
And for that we will develop a couple IoT devices to do Contact Tracing. A little on Contact Tracing: From Wikipedia: "In public health, contact tracing is the process of identification of persons who may have come into contact with an infected person ("contacts") and subsequent collection of further information about these contacts. By tracing the contacts of infected individuals, testing them for infection, treating the infected and tracing their contacts in turn, public health aims to reduce infections in the population. Diseases for which contact tracing is commonly performed for include tuberculosis, vaccine-preventable infections like measles, sexually transmitted infections (including HIV), blood-borne infections, some serious bacterial infections, and novel infections (e.g. SARS-CoV, H1N1, and COVID-19). The goals of contact tracing are:
To interrupt ongoing transmission and reduce the spread of an infection
To alert contacts to the possibility of infection and offer preventive counseling or prophylactic care
To offer diagnosis, counseling and treatment to already infected individuals
If the infection is treatable, to help prevent reinfection of the originally infected patient
To learn about the epidemiology of a disease in a particular population
Contact tracing has been a pillar of communicable disease control in public health for decades. The eradication of smallpox, for example, was achieved not by universal immunization, but by exhaustive contact tracing to find all infected persons."
And again, IF we are going to erradicate or control COVID-19, social distancing and PPE is NOT enough, we need to acurately employ contact tracing.
This Solution will try and give that a shot with existing technology.
Reading the SDGs profile on the UNDP page was quite discouraging:
Hopefully I wholeheartedly think that low cost solutions that can provide contact tracing like this one can be later adapted to other chronic and degenerative diseases like the ones related to CVD or Cardiovascular diseases which are the ones with the highest mortality among any cause. If we start with our current focus and then adapt these low-cost solutions we might be able to finally use our technological tools to aid many more peope than just the ones that can pay for healthcare and in time maybe promote the concept of preventive medicine that has been the rage all these years, but has never really taken off.
Solution
Our solution is a smart platform with patient centric risk-assessing IoT devices that will keep track of several variables such as temperature, steps, and heart rate, HRV among others through a web application.
It includes a wearable band that we integrated with a set of sensors that can be embedded easily into clothing.
Whenever the system detects an anomaly via heart rate temperature, movement or other it will send an alarm, notification and recommendations both to the user and the Doctor linked to the app. Here are some screenshots of the solution in our new webapp: iot.covital.com.mx
If a Doctor logs in:
Main dashboard.
Patient selection
Full dashboard
Patient info and interactions.
All this data will be shared with the user’s doctor or Medical carer in real time and provide invaluable insights in order to analyze and possibly stop the spread of COVID19 and will also serve as a basis after the pandemic to focus on other diseases such as Metabolic or chronic ones. If the patient logs in you'll see:
After logging in.
Full dashboard with the data
Recommendations
These kinds of measures have shown to decrease considerably the risk of contagion during the pandemic as shown by other smart health applications in countries like South Korea.
Viability/ Deployability
Now let's talk costs, for them to be as low as possible we will be basing most of it on two pieces of low cost existing solutions for this. A wearable Band and the ON RSL10 sensor board:
The sensor board is at $19.99 at the moment and the Xiaomi MiBand3 (we can use any inexpensive band) can be bought for retail at about $16 (even less if you make a deal).
The cost of the Webpage at this moment is neligible, but it will rise with more devices, nevertheless it has the capacity to maintain itself on a Freemium model or even by the hardware sells if we ever deploy the project on a commercial basis.
As we are using existing technology its scalability has already been proven as we just need to share the watches that already have been sold, imagine that its like deploying an Iphone or Andrioid app, we are doing the same but for inexpensive wrist watches.
From:
https://3dinsider.com/wearable-statistics/#:~:text=According%20to%20a%20survey%20conducted,bands%20to%2025%20million%20units
"From $29 million in sales in 2014, the sales of wearable devices have gone up to $172 million by 2018. By the end of 2018, an estimated 350 million wearable devices will have been in use worldwide. By the end of 2019, the global retail revenue from smart devices has reached $53.2 billion."
And this is perfect for a developing country such as the one we are from, which is Mexico. The country lacks the infrastructure to do high level contact tracing, but the low cost of these devices and the fact that most of the population is already using a wearable band and a phone makes it a good choice. And yes for the moment we are one of the most-at-risk regions:
Also, whenever countries go ahead and raise lockdowns their numbers will most likely go up as is the problem that we are having in Mexico. So a low cost, easy to use contact tracing solution like this one is probably one of the most viable solutions as you can detect quite a lot with just the heart rate and temperature.
Integrations
And whats better, for the employee or user, we will integrate it into their workflow applications such as Airtable, attlasian and monday.com. Making it indeed an multiplatform solution. You can see our integrations at the top images and in the projects Github.
For now the integration with Airtable is done and we are working at an integration with Ding which is a powerfull business manager for the CN region.
Step by Step instructions
For now all the work we have done is open source, and you can check this instructions on our Github:
https://github.com/EddOliver/Covital
Accomplishments that I'm proud of
The project is now in the final stage of the Alibaba GET Global challenge that aims to develop powerful solutions to combat the pandemic and we have now several key partners to make this possible.It went though a national process of classification between 1007 other solutions then a semifinal of the best 54, a final between the best 17, and now has classified for a place in the International competition having won at a national level.
https://www.aligetnetwork.com/news/07daffc7-0b38-408b-b620-82c300ab85aa?spm=a272d.8704791.k7lh4ha6.1.7bdd5082PuJHfb#/
What's next for Covital
We want to make this project a reality, we know that for a first phase maybe going directly to hospitals in the state they are now is not optimal. But, it can be a very powerful solution for cases of offices that need to come back to work. Namely with corporate offices, consultants, government facilities, Universities and so forth. That's where I think we may have our initial market and the main points to pilot this solution.
Final Commentary
We envision a future in which Healthcare is invisible and seamless, where you are getting the attention of experts but only engage if necessary. Using Machine learning and IoT to monitor symptoms to a condition with every process improving so it becomes error-free. With emphasis on the preventive side and with the patient as the point of care, YOU become the point of care.
We don't have to repeat and do the same actions we used to do 200 years ago. We have a lot of new technology and in this case COVID-19 is becoming the exception.
With our solution we will be creating big data with previously wasted information in order to provide better healthcare services and improve on the patient-doctor relation. With this MPs can attend many more patients simultaneously and with better and improved care.
References:
https://www.who.int/csr/disease/ebola/training/contact-tracing/en/
https://www.theverge.com/2020/3/5/21166088/coronavirus-covid-19-protection-doctors-nurses-health-workers-risk
https://weather.com/health/cold-flu/news/2020-01-09-17-things-you-probably-didnt-know-about-the-flu
Elert, E. 2013. FYI: Why is There a Winter Flu Season? Popular Science.
http://www.popsci.com/science/article/2013-01/fyi-why-winter-flu-season
[2 November, 2014]
https://www.nih.gov/news-events/nih-research-matters/flu-virus-fortified-colder-weather
http://sitn.hms.harvard.edu/flash/2014/the-reason-for-the-season-why-flu-strikes-in-winter/
https://medicalfuturist.com/ten-ways-technology-changing-healthcare/?utm_source=The%20Medical%20Futurist%20Newsletter&utm_campaign=ee5854702c-EMAIL_CAMPAIGN_2019_10_29_diabetes_companies_COPY_&utm_medium=email&utm_term=0_efd6a3cd08-ee5854702c-420575081
https://www.onsemi.com/pub/Collateral/EVBUM2614-D.PDF
https://www.onsemi.com/products/connectivity/wireless-rf-transceivers/rsl10
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0206808
https://weather.com/health/cold-flu/news/2020-02-14-worst-flu-season-for-children-in-a-decade
https://www.statista.com/topics/1556/wearable-technology/
Built With
api-gateway
autodesk
autodesk-fusion-360
bluemix
ibm-watson
node-red
raspberry-pi
react
twitter
Try it out
github.com | Covital | Contact Tracing platform with patient centric risk-assessing IoT devices. | ['Luis Eduardo Arevalo Oliver', 'Victor Alonso Altamirano Izquierdo', 'Alejandro Sánchez Gutiérrez'] | ['5th Place'] | ['api-gateway', 'autodesk', 'autodesk-fusion-360', 'bluemix', 'ibm-watson', 'node-red', 'raspberry-pi', 'react', 'twitter'] | 5 |
10,255 | https://devpost.com/software/spry-fries | Inspiration
Home made frites are one of those things that, when you see in a restaurant, you immediately order them. Not one, two or more packs !!
However, they're not available in all restaurants. And because of COVID-19 crisis, access to some restaurants is restricted and some were even closed !
Imagine life without homemade fries !
This is where SpryFries pops in.
What is it?
It's a delivery only food truck that makes home made fries and delivers them crispy to clients.
It's comprised of 4 components:
Client app: to order fries and follow the order status.
Driver app: to get the optimal route to take to deliver orders to clients.
Cook app: to get the list of orders to prepare and when to start each one for optimal crispiness !
Ghost Food truck: a food truck specialized in making home made fries and which serves also as moving marketing and delivery truck.
Fries recipe is important here. Because the recipes we're using make it easy to serve fries crispy.
Our recipes include 2 frying steps:
1st fry at 160 degrees
Fries need to rest between 8 minutes and 5 hours.
2nd fry takes one minute.
And this is what allows us to fry them right before we hand them to our clients.
Challenges I ran into
Making the video was a bit challenging and building a 3d preview of the food truck as well.
And coming up with a sound business model and trying to make it work was not that easy.
Accomplishments that I'm proud of
What I learned
I learnt a ton of things. From UI design to video making and editing to 3d modeling to business models.
What's next for Spry Fries
The next thing is to launch!
Built With
figma
framer
sketchup
Try it out
drive.google.com | Spry Fries | Soggy fries is what breaks fries delivery.We solve it with a frying van where we make fries and deliver them to the clients right out of the oil.We use AI to cut out expenses and profit more. | ['Abdellah Alaoui'] | [] | ['figma', 'framer', 'sketchup'] | 6 |
10,255 | https://devpost.com/software/nunafood-forecaster | Inspiration
I have always seen data modeling as a framework for the visualization of problems and their solutions, thereby making them easier to understand and solve. The issue of food insecurity is one which is close to my heart. I live in a nation of 200 million where, to this day, eating 3 square meals a day is a privilege. Food insecurity is a real life or death issue where i am from. Unfortunately, my country doesn't have an affinity for data collection and descriptive statistics. My hope with this project is to gain capital and experience in order to tackle world hunger issues. I believe that we should strive to make access to quality and nutritious food at dirt cheap prices. Food should be a human right, and access to food is a major determinant of susceptibility to bribery and corruption especially with regards to the electoral process in developing nations where absolute poverty is rife.
Families in remote and isolated indigenous communities in northern cnada frequently lack access to affordable nutritious foods, particularly perishables such as fruits, vegetables and meats, due to limited food selections, high food prices and poor quality of fresh produce. Expensive transport costs and difficult logistics (e.g. airfreight charges, and uncertainty of travel on winter roads, where they exist, or air travel subject to weather conditions), high poverty rates and a continuing decline in the use of traditional foods result in few healthy food choices.
What it does
Nunafood is an ML algorithm which aims to determine the amount of discount necessary to achieve balance sheet equilibrium between personnel, transportation and storage costs and the amount and price of excess produce(excess or otherwise) pre-wholesale, thereby reducing waste at the governmental and food production levels.
How I built it
I first built this project using microsoft excel and the spyder data analysis tool from the anaconda toolbox. I had to canvas for the relevant data, determine factors which influenced the success of this venture and build two(2) datasets of my own.
The first dataset has columns:community ,population ,%
of_population ,personnel_costs_as
%_of_pop ,recommended_personnel_costs_individual ,no_of_personnel ,storage_cost ,personnel_cost ,total_kg_of_food_allocated_as_a_percentage_of_population_for_60,000_kg_of_food ,freightfare_per_kg_from_winnipeg_to_nunavut communities ,freightfare_per_region_based_off_kg_of_food_allocated.
The second dataset(fresh_produce) has columns:product_type_beef, price_per_one_kg_beef, location_beef produce_lifetime_days_beef, product_type_dairy price_per_litre_kg ,location_dairy ,produce_lifetime_days_dairy ,product_type_fruit, price_per_kg_fruit, location_fruit ,produce_lifetime_days_frui,t product_type_grain, price_per_bushel_grain ,location_grain ,produce_lifetime_days_grain product_type_vegetables ,price_per_kg_vegetables ,location_vegetables ,produce_lifetime_days_vegetables.
We estimate that 60,000 kg is the lower limit of any produce to be enough to feed the currently 35K+ people in the nunavut region.
I built a method(collectProduce) to collect the price of each produce by kg and multiply it by our total expected kg(60,000) in order to get the price of each produce at a scale of 60000KG
I built a second method(getProducePriceMinOverhead) to subtract the total overhead costs from the price of the produce in order to get our rough breakeven produce price numbers.
I will follow up with more development but due to the time constraints of submitting this, i must stop here.
Challenges I ran into
This process was ardous, finding relevant data to build the dataset into my python script was quite difficult, i had to draw from a myriad of sources. After building out the dataset, deciding which factors were relevant was quite the task.
Accomplishments that I'm proud of
The 2 goals of this project were:
1- To determine the size of discount per unit of a produce and the cumulative number of produce required to break even on transportation, personnel and storage costs when sending food to Northern Canada.
2- To build a viability model to determine the chances that a good can actually be discounted effectively while still shelling out a stipend per unit of produce.
Building out compelling datasets like the two i use here. It was so difficult to find relevant information and this made it almost impossible. I am still not sure how useful all of this is, but that is for you to determine. I do believe that with the right data, these datasets could transform the way the canadian government subsidizes food going into the north. I can see it reducing the negative balance on the governments sheets and account for overhead while slashing prices based on the percentage of produce going to waste at the farm production level
What I learned
I learned that some of my weaknesses are lifelong battles. Stuff like motivation and existential implications of my success cannot be the primary drivers of my success. I need to feel the urgency every single night and ensure to check for changes to submission schedules and adjust my development schedule accordingly. I think i have failed at it this time. I submit this just to challenge myself to be better.
What's next for Nunafood forecaster
I plan to keep improving this algorithm and dataset even after my submission and i will till i feel happy and comfortable in my decision to work on this project.
Built With
bootstrap
dash
flask
python
Try it out
github.com
nunafoodforecaster.herokuapp.com | Nunafood forecaster | The goal of Nunafood is to use food production over-spill in one of these 4 cities(edmonton, montreal, ottawa, winnipeg) to address the food needs of Nunavut region which suffers from food insecurity. | ['Enun Enun'] | [] | ['bootstrap', 'dash', 'flask', 'python'] | 7 |
10,255 | https://devpost.com/software/bio-pulse | Where did you get the idea from?
In the year 2017, my young sister who was age two was diagnosed with stomach cancer in Zimbabwe. Due to lack of medical facilities in Zimbabwe, she was referred to India hospital were here surgical operations were to take place. My family was facing financial challenges adding on the basket was now Matifadzaishe and mom’s plane ticket, money for hotel services was needed as well and money for surgical operations was needed as well which was really expensive for a lowly income family like mine. However, the family sacrificed and sold most of the things we had for Matifadzaishe and mom to go to India for her surgical operation. The whole medication process took about a year for them in India. This was the most difficulty and tough time that my family experienced financially, socially and psychologically. What if there was a telemedicine facility in Zimbabwe?
How the system works
A specialized doctor can carry out surgery remotely without having to incur all the costs. A lot of people are dying in Zimbabwe because they cannot afford to go abroad to see specialists they would have been directed to. The proposed system will help local people hence solving the problem skill doctor is one place and the patient is another place.
Targeted market?
Our target users are people in the medical community like doctors, hospitals medical practical’s
What is the Business model?
We lease them to hospitals so we handle maintenance and software updates. They are to pay an annual fee to us. We provide support and maintenance.
The architecture of the system
The robotic arm system was developed using an Arduino board and a couple of servos and card boxes. For the software that controls it, it was an electron app using NodeJS, that is where we used Agora’s live streaming sdk. We used pub numbs for Web Sockets to communicate with serial ports. There is a PHP session manager which manages sessions between people who control the robot and the robotic arms themselves. These sessions are created using PHP and MySQL. The front end is also PHP and MySQL where the user’s login.
Built With
agora
arduino
javascript
mysql
node.js
php
pubnub
sdk
Try it out
github.com | Bio Pulse | A system aimed at ensuring that patients get the best surgeons no matter where they are. | ['Tapiwanashe Mugoniwa'] | [] | ['agora', 'arduino', 'javascript', 'mysql', 'node.js', 'php', 'pubnub', 'sdk'] | 8 |
10,255 | https://devpost.com/software/travelsafe-fcwrv5 | Inspiration
Though a lot of us are able to work from home, a huge section of workers, say from manufacturing, hospitality, food, retail industries have to get to their workplaces to earn their wages. But the paranoia of traveling in these circumstances has taken our minds by storm.
What it does
TravelSafe gives government administrators one portal to manage all modes of transportation - buses, cabs, trains, subways.
It allows them to permit/restrict the no. of vehicles working at any given time.
Ensure all the strict guidelines are being followed using AI
Notify co-passengers in case anyone is found infected in the future.
Restrict any mode of travel in case of a surge in cases.
Commuters
can see all the possible options of traveling.
request the administrators in case of inadequate facilities in their area.
get notified to test themselves immediately in case any of their co-passenger was found to be infected.
report vehicles that aren't complying with the rules or misusing the situation to exploit passengers financially.
How I built it
The very first step was to list out the stakeholders, identify the vital features, user personas.
The portal itself is built using Django.
UI is built using bootstrap.
Deep learning models built using TensorFlow.
Challenges I ran into
Working solo might not be the best idea. But wearing multiple hats enabled me to learn a lot! Web development, UI design, Video editing, Machine Learning!
What I learned
Placing myself in the place of end-users, and building a complete product that would help millions of people worldwide. The pandemic isn't going away anytime soon, and even if it does, the fear accompanying it won't.
What's next for TravelSafe
More modes of travel - maybe Air travel too.
Use analytics to predict a surge of cases in future to minimize chances of infection during the commute.
Built With
android
bootstrap
django
javascript
opencv
python
tensorflow
Try it out
tiny.cc | TravelSafe | The transportation industry has taken a hit due to the paranoia surrounding COVID. But not everyone has the luxury of working from home. We enable the safest way to commute during such times. | [] | [] | ['android', 'bootstrap', 'django', 'javascript', 'opencv', 'python', 'tensorflow'] | 9 |
10,255 | https://devpost.com/software/solutionsreache | Inspiration
To lower healthcare costs, improve outcomes and promote self-care through proactive remote patient monitoring and user engagement. Also, the coronavirus pandemic has impacted the lives of millions of people and families. It is essential to provide resources to assist people during this crisis both healthcare and non-healthcare.
What it does
SolutionsReache provides connected health solutions and is committed to helping you manage the challenges presented by COVID-19 through our digital marketplace of products by providing free and paid COVID-19 apps and Solutions for government and public health with community and residents, employers and employees, hospitals and patients, as well as PPE supply chain for medical sites including labs and hospitals.
What's next for SOLUTIONSREACHE
Implement the features on the roadmap including PPE supply chain management for vendors, hospitals and lab sites.
Built With
android
javascript
mqtt
node.js
postgresql
python
tizen
vue
vuetify
Try it out
gitlab.com | SOLUTIONSREACHE | We make connected health apps & solutions for government and public health, community and residents, employers and employees, hospitals and patients, as well as medical sites including laboratories. | [] | [] | ['android', 'javascript', 'mqtt', 'node.js', 'postgresql', 'python', 'tizen', 'vue', 'vuetify'] | 10 |
10,255 | https://devpost.com/software/traffic-jam-eliminator | Inspiration
1.ACCIDENTS CAUSED BY FALLING ASLEEP WHILE DRIVING
Kenya losses more than 3,000 people because of road accidents every year mostly due to drivers falling asleep while on the wheel this is something that many drivers experience while driving, especially now that folks need to use their cars for long distance commute between towns and cities due to lack of flights, sleep is a major problem that results to most accidents, drowsy driving kills.
2.TRAFFIC CONGESTION IN NAIROBI CITY
Traffic congestion is a constant pain for drivers and passengers; Nairobi has been ranked the second worst city in the world on traffic congestion. This results to delays, low productivity at the workplace, fuel waste, pollution and road rage. This has been made worse by fear of using public transport from fear of getting infected with covid-19 everyone is now using private cars on a daily basis
What it does
1.STOPPING ACCIDENTS CAUSED BY SLEEP DRIVING
With the phone mounted on the vehicles dashboard facing the driver the app uses the front camera to constantly scan the drivers face for drowsiness once signs are detected the app warns the driver. To keep the driver active the app initiates a conversation such as telling the driver to recite the alphabet in a descending order to keep the brain stimulated. Also to avoid holding the phone while driving, drivers can now use speech to do the following;
•Reading text messages (SMS) and also reply to the messages through text to speech plugin in the app (hoping to include social media)
•Ask for directions and possible resting places during long trips
•Initiating calls and responding to incoming calls through voice commands
2.ELIMINATION OF TRAFFIC SNARL-UPS ON NAIROBI CITY ROADS
Key concept of this solution is the removal of excess vehicles from the road during pick hours momentarily so as to enable for high flow rate of the vehicles passing through the city center heading towards the city. This shall be done by encouraging persons with vehicles whose registration numbers start with a certain number remain at home or their workplaces for a 30 minute duration while the other half of vehicles use the road, a mobile phone application will be used to determine in an orderly manner which vehicles shall be on hold while indicating which ones should be on the road at that same time.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
Coming up with a solution that helps my fellow citizens to solve problems they face everyday and costs them lots of money on fuels wasted on the road, this system will have great benefits to Nairobi city if put to use the solution will lead to social, economic and environmental benefits
What I learned
What's next for Traffic Jam Eliminator
Built With
android-studio
css3
google-maps
html5
javascript
opencv
phonegap
wit.ai
Try it out
play.google.com | Traffic Jam Destroyer | Traffic Jam Destroyer - a system developed to eliminating traffic jam on Nairobi roads and eliminating accidents caused by sleep driving, destruction caused by mobile phone calls/SMS | ['Dismas Kiplagat'] | [] | ['android-studio', 'css3', 'google-maps', 'html5', 'javascript', 'opencv', 'phonegap', 'wit.ai'] | 11 |
10,255 | https://devpost.com/software/nearby-buw96n | Inspiration
We initially started with nearby before covid. The concept of the app was built around community and neighborhood with a strong focus on social interactions, which many of us seem to be missing in the digital age. So we tried different location based messaging ideas. Then during covid we realized that the whole app should be your go-to app for location-based interactions to support local businesses, help stay safe (local news - also about health / pandemic issues) and stay social while not allowed to move much.
What it does
Connect people to their surrounding (other people, businesses, things of interest, travel)
The big goal
nearby should become the one and only app everyone installs to get information about their surrounding and for all nearby social interactions.
Team
3 software developers. Development lead has 10+ years experience with mobile and web applications.
What's next for nearby
We have a beta mobile and web application which we are currently rebuilding. Looking for financial support to make the dream a reality. Let's build the location based future together.
Built With
love
mobile
node.js
react | nearby | everything around you | ['Chris Ly'] | [] | ['love', 'mobile', 'node.js', 'react'] | 12 |
10,255 | https://devpost.com/software/ditto-social-app | Ditto Main
Stores in Need page
My Account Page
Getting approval from stores
Local Stores Posted
Store information and menus
wireframe
"Ditto"
derived from the french phrase
"de tout"
meaning "of all", Ditto is an app for anyone and everyone, regardless of their age or the ability to use mobile applications. We have created this app for seniors who are unable to advertise their stores via online, by the help of student volunteers. Ditto will help the sales of senior sellers in local stores, especially in this time of period since people have started to use online delivery services even more rather than physically visiting stores due to the COVID-19 situation and social distancing.
Inspiration
After the outbreak of COVID-19, a lot of merchandisers have lost their customers and are barely running their stores. As a consequence, e-commerce platforms has been acknowledged as one of the most important technology and has been a go-to place for advertising stores. However, it is still not perfect, as some are missed out: those who are afraid of anything online, those who can only receive or dispatch a call, and those who even have not heard about online marketing. It is mostly our grandparent or parent generation in their 50's to 70's. Observing this trend, we believe someone who is knowledgeable with the internet should help them. However, who would do so without any reward? Should I rely on those kindhearted minorities while having a lot of senior sellers drowning in worries and bills?
"No," we concluded. We thought there must be someone who is also in need of this opportunity, and at that moment, "students" popped in our minds. In Korea particularly, students from 7th grade to 12th grade are obliged to volunteer for a certain amount of time to graduate. Yet, we heard that they are having a hard time finding places to volunteer as a lot of the providers have closed due to pandemic. So, we thought our idea can additionally help students by providing an alternative volunteering opportunity online. After confirming the possible connection between the needs of two parties, we then started creating our app that can connect senior sellers and students so that they can get to know each generation more and teach what they are best at. What a win-win!!
What it does
Ditto is an integration of online shopping platform and volunteering platform. Our app provides numerous benefits:
Shoppers can find local stores nearby and easily view their basic information and available items/services
Students can fulfill their volunteering requirement and learn other useful skills such as skillsets for running a business directly from store owners. (We are assuming most of the volunteers as students if applied in Korea, but it does not restrict it to students only. Any volunteers are welcomed!)
Local sellers can successfully advertise their stores online and if further features added, learn how to use basic mobile technologies and become online-independent
How it works
Local merchandisers may contact the Ditto service center for advertisement
Ditto service center posts the store's basic information such as their contact and name and post it to the "Stores in Need" page
Volunteers sign up for stores they are willing to help
After approval, volunteers contact or visit the stores to get more information about the products and services
The volunteer can add the store in the DItto app
Volunteers can also update the store information, events, or discounts.
Customers can easily view local stores nearby and contact them using Ditto.
We have attached a slides named "How Ditto Works.pptx". Please view the slides.
How we built it
Ditto comprises an app build using React Native for Node.js and hosted on Heroku for supporting senior sellers who are struggling by digital lag and students in short of volunteering opportunities.
Data is managed via Mongodb.
Major restful API is apisauce.
Key features in the app were accomplished mostly by Expo and React Native APIs.
Challenges we ran into
Converting local images to public URL and saving them in our database
Utilizing expoPushToken for notification
Working in a team only through online due to pandemic
What we learned
For the very first time, from scratch, we created a React Native app that can be used anywhere in the world. No one in our team had any prior experience with React Native or database services, but by learning building blocks from online tutorials, we were able to proudly materialize our idea into a mobile app.
What's next for Ditto
Our ultimate goal for Ditto is to establish a non-profit organization where we can gather volunteers around the world that are interested in helping senior sellers and who are willing to work with Ditto to help those senior sellers advertise their stores.
Add a service and guidelines so that students can further teach basic to advanced mobile technologies to the owners and easily check their progress on teaching
Add feedback area so that we can get improve the app based on it
List stores in the order of the shortest distance
Register this idea to the Ministry of Education in Korea so that we can offer valid volunteering hour recognitions to students
Release the working model onto Google Play Store & App Store
How to test out app
Because of an unexpected error, we are having some issues in our app. Therefore, we'd like to add some notes:
Registration process is not working at all right now, so instead please login using the following account:
ID -
kakao@hiride.ca
password - kakao
We did not have enough time to add enough data in each category of our app. Try look at "Restaurants" or "Coffee & Dessert".
Release link via Expo:
https://expo.io/@umum3006/Ditto?release-channel=staging
*** You must have an android phone and install Expo application before accessing the given link. ***
Built With
apisauce
expo.io
heroku
mongodb
react-native
Try it out
github.com | Ditto: Discover & Advertise hidden local stores | Discover & Advertise hidden local stores | ['Sugju Choi', 'jihyeo2 Oh', 'Seoyun Jeong'] | [] | ['apisauce', 'expo.io', 'heroku', 'mongodb', 'react-native'] | 13 |
10,255 | https://devpost.com/software/sanitizer | Package Prototype
PreliminarySolution
Button to control device from outside the box
Logo Option 1
FaceDrive Integration Mockup
Additional Information
UV-C Effective Range Information
Logo Option 2
Foodora Integration Mockup
Inspiration
Food delivery services have become essential businesses during the global pandemic.
The containers for food delivery are sometimes the only point of contact people may have with the outside world during a lock-down. They also come into contact with essential workers who are most exposed to the risk of infection.
Corona is a respiratory virus, and therefore not infectious through food-borne consumption, but can be inhaled from residue left on packaging after handling. Therefore, finding a way to disinfect the food delivery packaging virtually eliminates the risk to customers who order food delivery from a service like Foodora.
We use this solution already in our apartment to disinfect masks, which is where we drew our inspiration from.
What it does
Our add-on product to food delivery boxes used safe, environmentally friendly UV-C light as a germicidal and viracidal food delivery packaging disinfectant. UV-C light kills viruses by scrambling their DNA and RNA, making them incapable of reproducing.
It only takes 10-15 minutes to be effective, which Uber Eats lists as their average time for deliveries, making it a perfect solution for drivers to simply place the food packaging in their delivery box, turn on the UV-C light, and then turn it off when they arrive for their delivery.
The effective range of UV-C light is 2 meters. The cost is only $25 per bulb. The bulbs last for 1000's of hours. These could be easily and cheaply installed in existing semi-rigid food delivery packaging.
How I built it
We initially built the proof of concept to sanitize disposable masks
following positive test results from 3M
(page 6).
It's a really straightforward build which only requires a shoebox, aluminium foil and staples, as well as the UV-C compact fluorescent light and a screwable lightbulb socket (E27 standard).
We simply put the mask on top of a transparent plastic container inside the box, close it and flip the switch. Then after 15 minutes we turn it off and get back our toasty clean mask. According to 3M, the medium heating from the CFL lamp also contribute to the sanitizing process.
For the final product, we plan on making an additional lightweight, 3D printed, adjustable structure to keep the bag from deforming and to help mount the lightbulb onto. We could also explore the potential of UV-C light emitting diodes, which could save up the battery and extend the apparatus' lifespan.
Challenges I ran into
It was hard finding a powerful lamp fitting an E27 screw simply off Amazon, since most UV-C lamps for the general public are usually sold for aquarium algea removal and have a weird socket. Also they're usually not as powerful.
Another hurdle was how to make this safe. UV-C can severly damage the retina and give skin cancer (just like any UV light), so we bought some biological hazard stickers off Amazon and put some on the lightbulbs and a big one on the box, so that people wouldn't find this lamp and use it for decoration (as it emits a beautiful blue light).
Accomplishments that I'm proud of
We also tried making a
limit switch
based system to automatically turn the light on and off when closing/openning the box, and a timeout to shut it down after 15 minutes but we had trouble with my high voltage relay board and had to resort to a manual trigger instead.
However we have an Arduino code ready to make that switch work.
You can find it
here on GitHub
.
What I learned
Don't nail electronic components to the wall...
What's next for Sanitizer
Building it for a food delivery company
Built With
arduino
uv-c
Try it out
github.com | Sanitizer | Low Cost, Highly Portable, Easy to Use, Food Delivery Sanitizer | ['Matthew Fisher', 'Samuel Prevost'] | [] | ['arduino', 'uv-c'] | 14 |
10,255 | https://devpost.com/software/asdasf | ASMA v2 Build
Initial Design
Initial Design
Initial Design
Inspiration
For a couple of years, we have been building and flying drones. This was something that we enjoyed and considered it as some sort of sport. Last year, our state saw one of the deadliest floods of all time. We were not prepared and a lot of relief activities depended solely on human inspection and interference. This puts a lot of lives in danger. This was an incident that changed the way we perceived flying. We started looking into autonomous flying and was engaged in the development and testing of various AI-based analytics onboard an autonomous UAV. This went on for around 7 months until all activities were paused and our lives were again shaken by the deadly Coronavirus. The initial months were tough. With all activities at a standstill, we had time to rethink our approach. With the law enforcement agents and community health workers risking their lives for the betterment of our society, we decided to ease their work process. The aim is to provide a system that allows for the surveillance and monitoring of the public for social distancing, without the risk of being openly exposed.
What it does
ASMA Drone is an autonomous drone, which uses a normal camera to take a live video stream and use edge computing onboard to understand if people are maintaining social distancing or not.
We built a primary version on top of DJI Tello to test its feasibility, and it worked flawlessly.
link
(Version 1.0)
We now have a stable flight for version 2.0 and are striving to get the autonomous capability.
link
How we built it
The core of this application uses Convolutional Neural Networks to detect pedestrians. We are working on adding more models, but as of right now, we use the pre-trained SSD MobileNet V2 person-detector-retail-0013 from Intel's OpenVINO Model Zoo which is trained on the MS COCO dataset for the proof of concept. We extract the “person” class of this model as the pedestrian detector.
On the output view, some data visualizations are provided to give the user better insights into how well physical distancing measures are being practiced. The data analytics and visualizations can help decision-makers identify the peak hour, detect the high-risk areas, and take effective action to minimize social distancing violations.
The mobile agent consists of an autonomous UAV. The UAV is small, compact, and fits into a 250mm*250mm*350mm cube. The onboard Raspberry Pi coupled with a 4G module enables remote operation. The system uses rosbridge and roslibjs to set up the remote terminal which helps us to communicate with the UAV from a web browser. The UBlox 7M GPS module with the Ardupilot autopilot stack enables autonomous navigation.
Challenges we ran into
Initially, we had a hard time setting up the drone due to the delay in the arrival of parts due to the logistics delay caused by the lockdowns imposed due to COVID19. After all the parts arrived, it took us almost 2 days to get the drone to fly completely stable. The self-designed frame was first fabricated using PLA and FDM. This did not have the strength that we hoped it would. The fabrication cycle took a few iterations and this was further delayed due to the pandemic.
In the computation arena, the results we had gotten initially from the Raspberry Pi 4 were extremely poor, as in low FPS output. So to enable edge computing, we incorporated Intel Neural Computer Stick with OpenVINO. Now the performance is much faster.
Accomplishments that we're proud of
I'm proud to say that my team, which consists of Thomas and I, are really great at working together. We have won several competitions and grants, both in the research and entrepreneurial sectors. We were able to hack this project together in two weeks, and we feel pretty proud of what we have accomplished.
What we learned
Building this project helped us have hands-on experience in developing autonomous systems, which was limited to simulations before. Various fabrication techniques and assembling skills were also acquired during this development. We also learned to compare various hardware available to us and make an appropriate choice depending on our application and our limitations.
What's next for ASMA
The beauty of our project is that this can be very easily implemented on CCTV systems, to enable accurate monitoring and tracking of people in crowded places such as malls, parks, and streets, etc. This can be easily implemented as a plug and play device, which after the COVID situation is over, could be converted to an AI-Based Surveillance System.
Built With
ardupilot
openvino
pixhawk
python
raspberrypi | ASMA | An easily deployable and scalable edge computing solution for social distancing monitoring with existing CCTV Systems and an Aerial Agent for remote support. | ['Nadeem Mohammed Shajahan', 'Thomas Kuruvila'] | [] | ['ardupilot', 'openvino', 'pixhawk', 'python', 'raspberrypi'] | 15 |
10,255 | https://devpost.com/software/pooling-and-fun |
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Inspiration
Carpooling isn't that addictive as it can be.
What it does
It offers multiple services under one app.
How I built it
I haven't built it as I don't a decent laptop. To do the coding and dry run tests.
Challenges I ran into
Food Delivery, Transportation, Healthcare.
Accomplishments that I'm proud of
Potential of the idea and it's scope.
What I learned
How to brainstorm ideas and discover real-time working products and services.
What's next for Pooling and fun.
As per the response, I will scale the service and find more of enthusiasts who will enjoy the same.
Built With
flutter
powerpoint | Pooling and fun. | Enjoyment on the way! | ['Achintya Jain'] | [] | ['flutter', 'powerpoint'] | 16 |
10,255 | https://devpost.com/software/project-hdufe73j1bvy | -
Track
Social Distancing
Built With
null | * | ... | ['Ani T'] | [] | ['null'] | 17 |
10,255 | https://devpost.com/software/crystal-clear | GIF
App interface user flow animation
Home page - Breadcrumbs App
Customer login page
Customer signup page
Customer interface- QR code generation and covid button
Covid quarantine warning
Warning before logout
Business login with existing account (created on the web app)
Business interface- table selection and scan
Table selection options are retrieved from firestore (registered in the web app)
Scan demo on customer
User scanned successfully
App Icon
Register
Restaurant Admin Login
Restaurant Admin Manages Tables
Create a new Table
Edit Table
View Customers per Table
Email Notification
Inspiration
In our new normal we were seeing more and more restaurants go paperless and adopt menus that allowed you to scanned with a QR code. It was a seamless, touchless, and fast experience to present a convenient yet non-intrusive way to deal with Covid-19. We thought that's great for menus but maybe we could apply it to something more critical:
contact tracing
. Right now contact tracing is either missing or a slow form induced process for businesses. Breadcrumbs can change this by making it a one-second transaction for the customer and the restaurant. Any restaurant/business can implement breadcrumbs as long as they have a smart device and have internet.
What it does
Breadcrumbs is a new way for customers to interact with their favorite restaurants/businesses which makes contact tracing a one-second transaction. All a customer has to do is present the Breadcrumbs QR code for the restaurant employee to scan. Once scanned, an anonymous userId associated with the customer and a timestamp of the customer's last visit will be associated with the restaurant as well as the place the customer sat or ordered from in the restaurant. The businesses can add tables and edit the user status from the Breadcrumbs Admin Dashboard. If a user is diagnosed with Covid-19, they can notify all restaurants they interacted with while staying anonymous. The business will get an email telling them the table and time the user came in so they can notify their staff to clean the area as well as encourage the staff to get checked.
How We built it
Andrew modeled the backend with Firebase Firestore and created the Admin Console in Vue Js with Authentication also done by Firebase. Nicole at the same time created the Mobile App with Flutter and Dart using the same Backend.
Additionally, René provided the concept, did user research engaging directly with the Department of Health and San Francisco test sights, provided input on design, approaches, and administrated user testing on concepts and design including a few local restaurants. Dan would provide input on design and approaches.
Challenges We ran into
Some challenges we came across when working on this project was deciding what methods we could use to eliminate the complexity of contact tracing, the technologies that would best fit, and the features that were most important to complete to showcase our idea.
In the future, however, the challenges will include requiring paid services in our apps to scale to production, if we decided to roll out to every person in Canada or the US. For example, instead of using our custom email server, we would either use a firebase paid cloud function or extension or a service like Twilio. Additionally, verification of businesses during registration will likely require a paid vendor to do Identity/Business Verification to prove they own that business at that location in addition to the registration form.
Accomplishments that We are proud of
We are proud of how quickly we were able to code and execute this idea as an engineering team. We are also proud of how simple and straight forward the user experience for customers and restaurant employees are. Finally, we are proud that this technology might have a huge positive impact on keeping people safe during these pandemic times.
What We learned
There are a lot of surprising and unsettling truths of our new normal when it comes to trends and statistics, and it is up to us to help fix the problem with modern solutions. What this hackathon showed us is that even a team of four strangers can come together and apply themselves to solve huge problems on a global scale. Coding wise, we became more familiar with Flutter and learned how to merge two very different technologies to propose a simple solution for efficient contact tracing.
What's next for Breadcrumbs
Some improvements/ features we want to incorporate next and include:
Make improvements to the user interface/ design for the app and website.
Add a feature to mass notify employees when a user clicks "I have Covid-19".
Showing which employees logged in when on the Admin Console, so the business/restaurant can track employee activity as well.
Adding a quantity counter so stores can track the max capacity of customers coming in and out of the restaurant/business.
Make the mobile app more responsive and available on Android as well.
Implement Augmented Reality so large capacity restaurants can quickly scan tables and seating locations into the database and provide recommendations for the distancing layout of tables and seating arrangements.
Built With
dart
express.js
firebase
flutter
vue
Try it out
github.com
github.com
glitch.com | BreadCrumbs | Eat safely, and leave a healthy trail behind | ['René Diaz', 'Nicole Streltsov', 'andrew van beek', 'Daniel Mitchell'] | [] | ['dart', 'express.js', 'firebase', 'flutter', 'vue'] | 18 |
10,255 | https://devpost.com/software/rationghar | Homepage
Registration Form
Submitted Requests View for people
Login Page
NGO Sign Up form
NGO Dashboard
Change Password Form for a NGO account
All Submitted Requests View for NGO's
Inspiration
Pakistan one of the most deadly affected countries with COVID'19, having almost have of it's a population living under the poverty line. However, Pakistan is one of the most philanthropist nation as well, in which the Development sector is working with Non-Government Organizations to uplift the poor.
In addition, the Ration distribution usually works in way where NGO's go to a public place and ask the people to gather in large groups to receive their ration bags. Given the COVID'19 situation, everyone is
strictly advised not gather in public and in large groups to limit the spread of the virus
, so we tend to tackle this problem. We are aiming to let the people stay at home, prevent attending large gatherings, and at the same time
receive their ration packages at their doorsteps
. This way
quarantined and disable
people can easily register for ration bags and get save themselves from a potential virus infection.
Like all the world, Pakistan is also in Lock down but here already malnutrition people are not even getting basic food items. In addition, to this, there are many people who are underprivileged and have physical disabilities, which restrain them from working and earning for themselves.
What it does
RationGhar is a platform which is linking Non-Government organizations to underprivileged people and people with physical disabilities. It allows people to ask NGO's for ration with the comfort of their home. The people do not necessarily need to own a laptop, all they need is a mobile device with internet connection, to make a submission. A person can, then, fill in a form and make request for NGO to review. The NGOs' can view the submission and assign it to themselves. Once assigned, the form will be available in the Assigned List of the NGO. From this list, the NGO can change the status of the form between "In Progress" and "Fulfilled". People can track their form by tracing their CNIC.
How we built it
We built it using React, Firebase, Material-UI, CSS, HTML.
We also deployed the app on
heroku
.
deployed app link
Challenges we ran into
We learned Firebase from scratch and implemented an idea that initially seemed difficult.
In addition to this, we faced internet connectivity issues at some points, which made the collaborative work a bit difficult. However, we tried to come up against all the odds to complete the project.
Accomplishments that we're proud of
We are proud that RationGhar will someday serve the community for both the people in Pakistan and other countries too.
What we learned
We learned a lot of new skills. Some of these include time management, collaborative working and competitive website development. In addition to this, we learned how to come up with a fully functional web app in just 36 hours.
What's next for RationGhar
We will try to launch it in our local community and try to expand it in the country. In addition to this, we intend to make it more feasible for all types of people and improve the UI even further. We are also planning to make this platform, more user friendly and add another feature of
NGO Portfolio
. This additional feature will help the NGO's to showcase their work and dedication to potential sponsors, who can in return provide the deserving NGO's with funds to extend their community service tasks.
Built With
css
firebase
heroku
html5
javascript
material-ui
react
Try it out
github.com
ration-ghar.herokuapp.com | RationGhar | RationGhar is a ration distribution platform to connect NGO's and community service organizations with underprivileged and people with any sort of physical disability in the time of COVID'19. | ['Farrukh Rasool', 'Hamza Farooq'] | [] | ['css', 'firebase', 'heroku', 'html5', 'javascript', 'material-ui', 'react'] | 19 |
10,255 | https://devpost.com/software/ngila | Car Owner Screen 1
Car Owner Screen 2
Car Owner Screen 3
Driver Screen 1
Driver Screen 2
Passenger Screen 1
Passenger Screen 2
Inspiration
In most cities around the world, most motorists rare drive their vehicles. People who work 9 to 5 mostly drive their cars twice a day and for less than an hour. On the other these same cities have a large unemployed youth workforce. Ngila plans on solving.
What it does
Ngila is a ride hailing service that not only connects drivers with passengers but also connects drivers with car owners.
Drivers who sign up with Ngila, do not have to have their own cars as the cars they use will be leased from car owners on the platform. The leasing period is on an hourly basis. For example this could be from 8 in the morning when the car owner arrives at work to 16:30 in the afternoon when the car owner has to go back home from work.
After leasing the vehicle, the driver then starts the ride hailing service from within the app. When the day ends, the driver then returns the car and the income is split equally between the car owner and driver.
This has the potential to not only reduce the number of cars on the street but also help the environment. Moreover, a lot of young people can earn a living without having to own a car
How I built it
This is an MVP for an android app. The server end is hosted on AWS
What's next for Ngila
We'll see after the hackerthon
Built With
amazon-web-services
java
python
Try it out
zedfarms.s3.amazonaws.com | Ngila | Connect car owners with drivers and better humanity | ['Niza Siwale'] | [] | ['amazon-web-services', 'java', 'python'] | 20 |
10,255 | https://devpost.com/software/shopping-spree | Homepage Img 2
Homepage Img 1
Game Img 1
Checkout Img
Game Img 2
Email:
aditya.kiru@gmail.com
Inspiration
Because of the coronavirus pandemic, it forced us with a challenge: How do we make those who can't physically go shopping in person, but still have the same feel and experience they'd normally have? That's how Shopping Spree came into existence.
What it does
Shopping Spree is an .io game designed to assist people with virtual shopping, because sometimes, it proves challenging! Shopping Spree is a virtual recreation of a shop that you'd normally go to. We not only have grocery products, but a wide range of items, from medical supplies to home decor.
How we built it
We coded this game and website using HTML, CSS, and JavaScript on a Node.JS server. Users can view our website and learn about the game, and they will also be able to go to the shopping page, where they can play the game themselves. The site is hosted on a Node.js server, which is used to communicate with the client when they place an order, or when they fill out the contact form. The server also transmits information about each item in stock, including the item’s name, quantity, and price, using Express.js and socket.io.
Challenges we ran into
When creating the game, we realized that the game was consistently resetting the amount of money in the shopping cart as soon as it went over 1,000 dollars. Soon, we realized that it was a simple error, and we fixed the issue so that the consumer can purchase as many products as they'd like.
Accomplishments that we're proud of
In 30 hours, we were able to make this website. It not only includes a game, but a website to go along with it. This took quite a lot of time to make, but at the end, it turned out way better than we expected, and we were extremely happy that we were able to complete such a difficult task in a mere 30 hours. Since this was our first hackathon, we worked well under the time frame, and our final product was amazing!
What we learned
First of all, we learned that anything and everything is with consistent determination, and confidence to pursue whatever you want in life. When managing your time wisely, you have endless possibilities to do whatever and wherever your imagination takes you.
What's next for Shopping Spree
In the future, we hope this website will become a real-life web application that consumers can connect their shopping accounts and billing information to, and will use to shop for everyday products, including groceries, electronics, and more.
Contact email:
aditya.kiru@gmail.com
Built With
css3
express.js
html5
javascript
node.js
socket.io
Try it out
bit.ly | Shopping Spree | Shopping reinvented | ['Sanjay Ravishankar'] | [] | ['css3', 'express.js', 'html5', 'javascript', 'node.js', 'socket.io'] | 21 |
10,255 | https://devpost.com/software/healthmatch-mz03ay | The Homepage Shows Language Preference Which Changes Site Images And Content. We Know That Culture Clash Is A Big Obstacle In User Adoption.
The Home Screen Has A Simple UI For The Visitor To Either Opt For Signing Up As A Volunteer Or Scheduling An Appointment With A Responder.
The User Can Choose Between Meeting A Responder/Volunteer For Free Or A Practitioner By Paying Cash. Again The UI Is Clean And Simple.
Based On Date And Timezone Picked By User All Available Timeslots Are Filtered And Shown To The User.1 Responder Is Available For All.
Users Choose Their Available Time Slots Along With Details About Themselves To Help Our Matching Algorithms.
The Optional Details Are To Be Filled Only If The User Is Willing To Share Extra Information About Themselves To The Responder.
Anybody Wanting To Become A Volunteer Is Asked To Sign Up Through This Form, And They Can Select Multiple Languages For Profile On This Page
Responder Shows Their Available Times To See Users Based On Time Zone. Only If A Responder Has Picked A Time Slot,It Is Shown To User.
All Responders On The Platform Are Notified When A User Books An Appointment On The Appointment Site. First To Accept Gets The Appointment.
Volunteer Portal: Selected Volunteers Are Allotted Credentials For Logging Into Our Website After Adding Their Details To The Database.
This Is Moodbook's Homepage. Users Can Log In Here And Journal Daily And Input Their Mood Which Is Analysed To Help Track Changes In Mood.
This Is The Main Interface To Our MoodBook For User’s Daily Journaling.Based On Analysis We Show A Personalized MoodBoard With Gifs Etc.
This Is The Moodboard.Each Time The Person Journals A Personalized MoodBoard Is Shown Based On Their Mood With Uplifting Content.
This Is Our Healthmatch-Meet Platform Interface. Quite Simple And Secure For Best-User Experience.
This Is Practitioner-Portal's Homepage. Practitioners Can Log In Here And Manage Their Services.
An Overall Structure Of Api-Services Used In The Healthmatch-Disaster Response Network.
On Our Platform You Can Schedule Appointments Around Seeing What Other Doctor Available Times Are. In CRM System, "EPIC" You Cannot Do That.
This Is Our Technical Architecture Diagram, Showing The Flow And Connection Of All The Services Involved.
An Overall Structure Of Services At Large Involved In The Healthmatch-Disaster Response Network.
This Is A Diagram To Depict Working Of Aodv Protocol, Which Helps In Conversion Of Mobile-Devices To Mobile Network Towers.
This Is A Flow Depicting How The Healthmatch Mobile Mesh Network Works Being Powered By Opensource.
This Diagram Depicts Flow Involved In The Clusterduck Protocol.
Inspiration
On the 11th of March 2020, when the WORLD HEALTH ORGANIZATION declared Corona Virus - A GLOBAL PANDEMIC, life surprised us with something we were never prepared for. From social distancing to wearing masks and panic hoarding, this pandemic has
NOT JUST AFFECTED 20.9 MILLION PEOPLE physically but EVERYONE mentally in reality.
We found out that there is*
a major disparity in the number of psychologists needed and the number of psychologists available to meet the world’s need during a pandemic
* and decided to tackle these upcoming challenges. We founded HealthMatch with an aim to provide a platform to help people going through these tough times. Throughout this project, we have faced many ups and downs. But the best thing which has kept us together as one is collaborative learning. Working remotely yet together is something we will never forget.
What it does
Our platform, HealthMatch aims to provide support to people experiencing emotional distress by connecting them with trained responders and therapists across the globe and the website supports 4 languages- English, Spanish, Mandarin, and Hindi. Instead of showing a confusing user interface of 180+ languages to scroll through (and risk not having volunteers who speak that language), we tested a simple and easy language selection page focused on key languages. One of the biggest obstacles to BOTH healthcare advice and technology adoption is TRUST. At HealthMatch, we show that we care about your culture.
On the website, you can book an appointment with a responder at a specific time and optional details about themselves. From here we send a notification to all responders and the first to respond connects with the user. Before the chat, the user can input their mood in the days leading up to the session to give better insight to the responder. We also run analysis based on mood and provide users with uplifting gifs and quotes as well. From here, the responder and user start a conversation on our user-friendly platform via Chat or webcam. We’re proud to say that we have over 100 responders signed up now for the platform.
We also plan to make our platform work offline by employing the usage of OpenSource ClusterDuck Protocol-The ClusterDuck Protocol is an open-source firmware for mesh network internet-of-things devices based on LoRa radio and can include WiFi and Bluetooth compatibility. This protocol enables quick and easy set up of wireless communications, sensor, and other network devices. The ClusterDuck Protocol was created by Project OWL to be an easy to use mobile mesh network that can be accessed by people without the need to have specific hardware or pre-downloaded software (such as a mobile app). Since its creation, the vision for the ClusterDuck Protocol has grown beyond only servicing people in need after a hurricane towards additional use cases around earthquakes, wildfires, cellular congestion (large events), sensor networks, and more. Project OWL open-sourced this project so that the ClusterDuck Protocol could reach the communities that need it as fast as possible and continue to explore new directions.
How we built it
This platform has let us showcase our skills and use our knowledge in the best way possible. We learned various technologies like Azure Logic App, Sendgrid, Azure Compute Service, Cluster Duck Protocol, LoRa, IBM Watson Services, Google Sheets, Google App-Script, Javascript, Azure Database for MySQL and by overcoming problems and learn from your mistakes.
How ClusterDuck Protocol Works
The network is made up of multiple nodes called "Ducks". There are 3 core roles in a ClusterDuck network: DuckLink, MamaDuck, and PapaDuck. DuckLinks serve as edge nodes that only transmit data. These function as remote sensors or as additional access points to a Captive Portal. MamaDucks inherit the same functionality of the DuckLinks, but also receive messages. MamaDucks repeat messages from DuckLinks and other MamaDucks until the message reaches a PapaDuck. PapaDucks are the endpoint of the network where all of the data is collected and can be stored or pushed up to the cloud.
Challenges we ran into
For many of us, this was the first hackathon we had participated in, thus there were challenges in every phase of our project. We faced problems with connecting our database to some required extensions and also linking it with required website fields then we tried out many things, referred to the community support, and later were able to do so. From working on the functioning of the scheduler to sending emails, making it a safe, user-friendly website, and ensuring instant responders as much as possible, every task was very daunting yet exhilarating.
Accomplishments that we're proud of
We are very happy to be able to execute this website and proud to say that we did something to aid people during these tough times.
What we learnt
This hackathon has not just taught us the technical skills needed, but also expanded our learning experience in other fields like marketing, telehealth which we believe could not be learned within the four walls of our classrooms. When we started, we were beginners in doing big projects. Especially working towards the backend part of the project. Throughout the process of building our entire system from the ground to up, we became more apt at finding resources for swift problem-solving.
What's next for HealthMatch
We plan to complete our prototype for ClusterDuck Protocol and implement and incorporate it in our project fully as due to the present situation of lockdown we were not able to get access to the required hardware, so this would be our first step to expand capabilities of our project. This way our project can be employed to public service even during other crucial and emergency situations such as during natural calamities and disasters. Then, we plan to extend the reach by onboarding more Health-Practitioners and Volunteers on our Platform.
Built With
ajax
app
app-script
app-services
azure
calendar
ci/cd
cloudflare
cluster
compute
css
database
duck
google-appscript
google-calendar
google-contacts
google-sheet
google-task
google-translate
html
ibm
ibm-watson
iot
javascript
jquery
logic
logic-apps
lora
mysql
php
protocol
python
sendgrid
service
services
sheets
spotify
translator
twilio
webglot
Try it out
healthmatch.me
docs.google.com
community.healthmatch.me
meet.healthmatch.me
volunteer.healthmatch.me
practitioner.healthmatch.me
healthmatch-me.github.io
github.com | HealthMatch | Connecting Lives.Delivering Assurance. | ['PRATYAKSH GUPTA', 'Dwitrisha Saha', 'Ananya Thapliyal', 'Meghana Rao'] | [] | ['ajax', 'app', 'app-script', 'app-services', 'azure', 'calendar', 'ci/cd', 'cloudflare', 'cluster', 'compute', 'css', 'database', 'duck', 'google-appscript', 'google-calendar', 'google-contacts', 'google-sheet', 'google-task', 'google-translate', 'html', 'ibm', 'ibm-watson', 'iot', 'javascript', 'jquery', 'logic', 'logic-apps', 'lora', 'mysql', 'php', 'protocol', 'python', 'sendgrid', 'service', 'services', 'sheets', 'spotify', 'translator', 'twilio', 'webglot'] | 22 |
10,255 | https://devpost.com/software/grow-n-track-u7962v | Webpage
A look into the Locust locator MAP (rep every spotting on locust over a time period)
LocustTrack
Our Vision :
Equipping every single farmer with accessible resources and aid them in making the right choices .
Q1. What is a locust attack/invasion/plague?
When the locusts start attacking crops and thereby destroy the entire agricultural economy, it is referred to as a locust plague/locust invasion. Plagues of locusts have devastated societies since the Pharaohs led ancient Egypt, and they still wreak havoc today. Over 60 countries are susceptible to swarms.
Q2. Types of locusts -
There are four types of locusts that create a plague – desert locust, migratory locust, Bombay locust, and tree locust. The desert locust is a notorious species. Found in Africa, the Middle East, and Asia, this species inhabits an area of about six million square miles, or 30 countries, during a quiet period, according to National Geographic. During a plague, when large swarms descend upon a region, however, these locusts can spread out across some 60 countries and cover a fifth of Earth's land surface.
Q3. How and when do locusts become harmful?
During dry spells, solitary locusts are forced together in the patchy areas of land with remaining vegetation. This sudden crowding makes locusts. Then, when rains return—producing moist soil and abundant green plants, locusts begin to reproduce rapidly and become even more crowded together. In these circumstances, they shift completely from their solitary lifestyle to a group lifestyle in what’s called the gregarious phase. Locusts can even change colour and body shape when they move into this phase. Their endurance increases and even their brains get larger. Locusts have huge appetites.One of these insects can eat its own weight in food in a single day.And they're devastating crops in East Africa, where millions of people are already considered food-insecure.
Q4. What is a locust swarm?
Locust swarms are typically in motion and can cover vast distances—some species may travel 81 miles or more a day. Locust swarms devastate crops and cause major agricultural damage, which can lead to famine and starvation. A swarm of desert locust containing around 40 million locusts can consume (or destroy) food that would suffice the hunger need of 35,000 people, assuming that one person consumes around 2.3 kg of food every day. In 1954, a swarm flew from northwest Africa to Great Britain, while in 1988, another made the lengthy trek from West Africa to the Caribbean, a trip of more than 3,100 miles in just 10 days.
Locust swarms devastate crops and cause major agricultural damage, which can lead to famine and starvation. Locusts occur in many parts of the world, but today locusts are most destructive in subsistence farming regions of Africa.
Q5. Locust Effect on Africa ?
The worst locust outbreak in generations has descended upon East Africa and the Horn of Africa. Without immediate action, 4.9 million people could face starvation this summer. This disaster comes at the worst possible time for countries like Somalia already facing the double emergency of food shortage and COVID-19. Seven facts about the situation on the ground:
1. Desert locusts are extremely dangerous –
These migratory insects inflict insurmountable damage in minutes. Even a tiny swarm consumes the same amount of food in one day as 35,000 people. Swarms have already destroyed hundreds of thousands of hectares of crops and pastureland in eight countries—Kenya, Uganda, South Sudan, Ethiopia, Somalia, Eritrea, Djibouti and Sudan—and threaten to spread wider.
2. Five million people are at risk of hunger and famine-
As of March, the locust infestation in East Africa has already damaged more than 25,000 kilometers of cropland. Without swift intervention, populations will face mass starvation this summer.
3. A new swarm is hatching –
A fourth generation of locust eggs is now hatching, which experts predict will create a locust population 8,000 times larger than the current infestation.
4. Somalia will likely be hit hardest –
The Somali government was first in the region to declare a nationwide emergency in response to the desert-locust crisis. Without humanitarian assistance, 3.5 million people are projected to face food crisis between July and September. The region is already overwhelmed by cycles of widespread violence, drought, floods, chronic food shortages, and disease.
5. This the worst outbreak in 70 years –
Without expedited preventative measures, swarms will migrate from East Africa to West Africa. “This is the worst locust invasion we have seen in our generation,” says Sahal Farah of Docol, an IRC partner organization. “It destroyed pastures, contaminated water sources and [has] displaced many pastoral households. The worst of all is that we do not have the capacity to control it, and so far we have not received any external support.”
6. Women face increased risk –
If harvests fail, the IRC estimates that 5,000 households, especially those led by women, will need urgent humanitarian assistance by August. As food prices skyrocket, women and girls will face an increase in violence and theft as their partners are forced to travel in search of food and work. Additionally, women will be forced to take on additional responsibilities in managing existing farms or small businesses, even as they tend to the needs of their families.
7. More funding is necessary to stop widespread famine –
The IRC is calling for $1.98 million to alleviate the desert-locust emergency in Somalia in 2020. We are also appealing to the United Nations and affected countries to continue technical analysis of locust movements along with continued information sharing—before it is too late.
Q6. Crop Failure and Hunger Famine In Africa .
In Africa, hunger is increasing at an alarming rate. Economic woes, drought, and extreme weather are reversing years of progress so that 237 million sub-Saharan Africans are chronically undernourished, more than in any other region. In the whole of Africa, 257 million people are experiencing hunger, which is 20% of the population.
Successive crop failures and poor harvests in Zambia, Zimbabwe, Mozambique, and Angola are taking a toll on agriculture production, and food prices are soaring. In the past three growing seasons, parts of Southern Africa experienced their lowest rainfall since 1981.
As a result of these dire events, 41 million people in Southern Africa are food insecure and 9 million people in the region need immediate food assistance. That number is expected to rise to 12 million as farmers and pastoralists struggle to make ends meet during the October 2019 through March 2020 lean season.Close to five million people in East Africa could be at risk of famine and hunger as the ‘worst locust invasion in a generation’ continues to destroy crops, contaminate water sources and displace thousands of households, a new report has warned.The infestation, which first appeared in the region last June and has already passed through a number of generation cycles, is feeding on hundreds of thousands of hectares of crops across at least eight countries.
HISTORY OF FOOD FAMINE –
• 2011 to 2012 — The Horn of Africa hunger crisis was responsible for 285,000 deaths in East Africa.
• 2015 to 2016 — A strong El Niño affected almost all of East and Southern Africa, causing food insecurity for more than 50 million people.
• 2017 — 25 million people, including 15 million children, needed humanitarian assistance in East Africa. In September, inter-communal conflict in Ethiopia led to more than 800,000 people becoming internally displaced.
• 2018 — Africa was home to more than half of the global total of acutely food-insecure people, estimated at 65 million people. East Africa had the highest number at 28.6 million, followed by Southern Africa at 23.3 million, and West Africa at 11.2 million.
• 2019 — Food security is deteriorating and expected to worsen in some countries between October 2019 and January 2020.
Locusts attack across the world
By the end of 2019, there were swarms in Ethiopia, Eritrea, Somalia, Kenya, Saudi Arabia, Yemen, Egypt, Oman, Iran, India, and Pakistan
As of January 2020, the outbreak is affecting Ethiopia, Kenya, Eritrea, Djibouti, and Somalia. The infestation "presents an unprecedented threat to food security and livelihoods in the Horn of Africa," according to the United Nations Food and Agriculture Organization.
Kenya has reported its worst locust outbreak in 70 years, while Ethiopia and Somalia haven’t seen one this bad in quarter of a century.
They are now heading toward Uganda and fragile South Sudan, where almost half the country faces hunger as it emerges from civil war. Uganda has not had such an outbreak since the 1960s and is already on alert. Uganda has not had to deal with a locust infestation since the ’60s so there is concern about the ability for experts on the ground to be able to deal with it without external support
In a country like South Sudan, where already 47% of the population is food insecure this crisis would cause devastating consequences.
Q7.How can locust swarming/attack be prevented?
Weather patterns and historical locust records help experts predict where swarms might form. Once identified, an area is sprayed with chemicals to kill locusts before they can gather.
Historically, locust control has involved spraying of organo-phospate pesticides on the night
resting places of the locusts.
Intervention in the early stages of a locust outbreak is generally advised.This reduces the amount of pesticide to be applied because the locusts are localized over a relatively smaller region.
As an outbreak continues to develop first into an upsurge then into a plague,more and more countries are affected and much larger areas need to be treated. Nevertheless a preventive strategy may not always be effective.Access to infested areas may be limited due to insecurity;financial and human resources can’t be mobilized quickly enough to control an outbreak in time;or weather and environmental conditions are unusually favourable for locust development so the national control capacity is overwhelmed.
So,what can be done?
HERE COMES THE USE OF LOCUST LOCATOR
Locust swarm attcks can be prevented with early monitoring of the breeding grounds of the insects. Now,United Nations is already doing this work. Through various ground,air and satellite surveillance techniques,image processing methods,data analysis and a diversified modus operandi,scientists,researchers,biologists are working day in and day out in order to build a model,or a method so that these attacks can be prevented,before they grow to wreck massive destruction and havoc.
But,the common man cannot comprehend the need or purpose behind all this.
This is a situation where experts with years of experience,modern technological software,methods and tools at their disposal are still baffled by the unusually high outbreak of the locusts this year.
So what can we expect from an ordinary let alone an illiterate person to do ?
How can they know how to save themselves from this raging menace?
How can we ensure that they - the pillars of support of this entire urbanised culture and people; survive and continue to prosper?
Here’s where our application is useful.
By making an application in their local language and making it easy to use, we remove any challenges the locals might face while taking advantage of our app.
Q8.But,why did we do this?
Being fortunate enough to be able to use technology amidst the comfort of our living conditions,we were discussing about the havoc that this year had bestowed upon humankind,starting with Australian bushfires to COVID-19.
And we yearned to do something,in order to make the world a slightly better place,than what it was. We knew that we couldn’t be frontline warriors of Coronavirus alongwith doctors and other personnel,since none of us are associated with medical background. But we had the belief that using our knowledge in the fields of data science,database management,app development;to name a few,we could atleast try to do something to give back to society,and thus was born..GROW N TRACK.
So,while browsing for things we could do,we stumbled upon this idea and saw the wonderful initiative Microsoft and the African Literacy Project had taken to organise this Hack for Africa global event.
Q9.What do we do?
Essentially, we track locust and send warning message to the registered users.
From the satellite data available,we obtain the locusts location.
We keep a record of the user location and when the locust enter the vicinity of the user we warn them via text and whatsapp.
For now we used Whatsapp but if we can implement the project with funding and resources then we plan to use normal text messages.
Q10.How warning them is useful ?
It helps them take necessary protection to save themself from such adversities.
Also,it has a vital role to play in formulation of future plans
We implemented machine learning in our tracker to predict the direction of movement a couple of days before it happens and try to predict the next possible mass breeding spots.
We also plan to have a feature in which a user can mark a place where they spot the locusts and if we get same marking from a specified radius of the users we alert the concerned authorities and mark the place in our map.
By analysing the data,we found that locusts infested only specific crops,and only during specific time periods of the year. By correlating that with the pH of the soil in those areas,we were successful in building an algorithm that would help them to decide the best crop to be planted according to the pH of the soil,so that they could yield the maximum profits out of their crops,all the while being protected from the problem of locusts ruining their hardwork.
As of April 2020, efforts to control the locusts are being hampered by ongoing restrictions in travel and shipping due to the COVID-19 pandemic, contributing to the global coronavirus food crisis. Hence,if we can implement Grow N Track,then surely we can put a huge leap in bringing the whole world to normalcy if the nations can slowly go back to their food production levels before the disaster and hence resume trading activities of food and other products.
Q11. Who are we?
Visit the developers page to know more about us and contact us .
We love to work on Projects that helps improve people's lives and leaves a good impact in this world.
Regards-
Kartik Agarwal , Anush Krishnav.V , Indrashis Mitra , Nima Pourjafar
Built With
css
flask
html5
javascript
php
python
sql
Try it out
grow-n-track.herokuapp.com | LocustTrack | An efficient web app that provides farmers make better choices and save their work from locust attacks . | ['Kartik Agarwal', 'Nima Pourjafar', 'anush krishna v'] | ['Philly Codefest 2020 Collaborative Award', 'Philly Codefest 2020 Best Hack for Social Good', 'Bring ESG funds to the spotlight (Vanguard)'] | ['css', 'flask', 'html5', 'javascript', 'php', 'python', 'sql'] | 23 |
10,255 | https://devpost.com/software/backdrop-ei915c | backdrop logo
BackDrop
A web application to change/modify video background to anything. It uses a neural network to find out the difference between a human body and background
How do you use it
upload a background image, choose new background color or use the default one
capture images from that modified background and save/download them
record video from that modified background and download
Note that, this application needs webcam access to get the video stream. All of the stuff happens on the browser, and the application doesn't save your images/video anywhere
Built With
css
html
javascript
ml5
p5js
Try it out
backdrop.vercel.app | Backdrop | A web application to change/modify video background to any images/colors | ['Prottay Rudra'] | [] | ['css', 'html', 'javascript', 'ml5', 'p5js'] | 24 |
10,255 | https://devpost.com/software/open-mind-0ykivf | open mind logo
Open Mind
A web application that you can use to train a machine learning model and make it recognize your images
currently supports two class
uses
tensorflowjs
supports
dataset
upload
can download your trained
dataset
When Using
Try to give as much example image as possible so the application can recognize it better
Since the training happens instantly when you add examples, sometimes on lower-end devices the application might slow down for a bit
Built With
bootstrap
css
html
javascript
tensorflowjs
webpack
Try it out
github.com
cluster-11.github.io | Open Mind | A web application that you can use to train a machine learning model and make it recognize your images | ['Prottay Rudra'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'tensorflowjs', 'webpack'] | 25 |
10,255 | https://devpost.com/software/d-m46s8p | Login page
Dashboard presented to doctor upon login
Detailed patient view for doctor (also similar patient dashboard)
Detailed appointment view
Appointment creation view
Patient option for prescription delivery
Mockup of prescription delivery interface
The Idea
Hi, my name is Ali Halani. I am a recent graduate (only 2 weeks ago!) of Wilfrid Laurier University and the University of Waterloo, graduating with a degree in Business Administration and a degree in Computer Science.
The inspiration for this idea to create a platform that would allow users to manage their doctor's appointments and prescriptions, and that would allow patients to have their prescriptions delivered to them, came from 1: the recent Coronavirus global pandemic, and 2: the existing capabilities of the HiRide and Facedrive platforms.
The recent pandemic made me think: those who belonged to groups more at risk from the effects of the Coronavirus, such as the elderly and those with pre-existing health conditions, were told to stay inside and avoid social contact. However, these groups of people are also the most likely to require medication to help them manage their pre-existing health conditions. That led me to wonder —
how can those who need medication get access to it without having to go outside and put their own health or the health of the public at risk?
Looking at HiRide and Facedrive's existing capabilities led me to a solution for this problem.
CheckUp can leverage HiRide and Facedrive's existing pool of drivers to allow users to have their prescriptions delivered directly from their pharmacy to their homes, avoiding the need for a user to pick it up themselves and eliminating the risk of putting their own health and the health of others at risk.
This solution provides value not only to the users who have their prescriptions delivered, but also to the active drivers on the Facedrive and HiRide platforms who would now have access to a large source of recurring deliveries they can choose to take on. This solution tackles issues in both the healthcare and transportation space, while addressing the current climate of social distancing.
How It Works
The degree of integration that can be achieved with different parties is flexible. At a minimum, a partnership would need to be established with pharmacies so they can prepare prescriptions and mark them as ready to be picked up. Pharmacies who are registered with the platform can associate any prescriptions they receive with the appropriate patient who is also registered on the platform. From here, integration with the delivery services provided by HiRide and Facedrive can allow users to send drivers to pick up and deliver prescription when a user is alerted by the pharmacy that their prescription is ready for pickup, or on regular prescription re-fill intervals. A standardized form of packaging, such as an opaque bag with a tamper-proof seal displaying only an order #, can be employed to ensure a user's right to privacy and safety is respected. The degree of integration can also optionally be expanded to include a partnership with prescribing doctors, who can input their prescriptions directly into CheckUp which will automatically notify a pharmacy to begin the process covered above.
For a quick demonstration of a prototype designed to display the core purpose of the platform, please see
https://www.youtube.com/watch?v=xxFSwZda0Ng
.
Thank you!
Built With
docker
flask
javascript
mysql
python
react
sql | CheckUp | CheckUp - a healthcare management platform that connects doctors and patients so they can manage their appointments and prescriptions, and that allows patients to have prescriptions delivered to them. | ['Ali Halani'] | [] | ['docker', 'flask', 'javascript', 'mysql', 'python', 'react', 'sql'] | 26 |
10,255 | https://devpost.com/software/luna-k1bwsz | Homepage
Profile Example
Notifications Example
Schedule Maker
Set up Interviews
Inspiration
According to Forbes, 79% of employees who quit their jobs cite a lack of appreciation as a key for leaving. Another survey based off of over 300 businesses stated that 77% of employees feel they’re on their own to develop their careers. These statistics demonstrated to us that there's still much that can be improved upon in the employment field. Also, we wanted to help provide a solution to battle discrimination in the hiring process and workplace.
What it does
Therefore, we decided to build Luna, implemented with a new algorithm which pairs employees with jobs based not only on skills, but also values and interests. To allow each individual to showcase these traits, we give them the power to customize their profile page however they like. Overall, this fosters a better team unity and is more beneficial long-term. Finally, Luna also systemically blurs out names and pictures in the resume and profile pages in order to reduce discrimination.
How I built it
We prototyped the design using Framer, an online platform that prototypes apps for teams. We then used react-native to code most of the app, Python as backend and firebase as database.
Challenges I ran into
A challenging aspect was utilizing machine learning to detect similarities between different profiles. We had a lot of difficulty and ended up with a highly variable model. Essentially, our system worked well only on specific examples and would completely flop on others.
Accomplishments that I'm proud of
We're most proud of finishing the project within the time constraints, despite all the multiple goals we were striving to accomplish within the app.
What I learned
We should have spent more time in the beginning coming up with certain checkpoint meetings. We wasted some valuable time building or fixing the same parts due to miscommunications and this created overall bugs that costed us much more time than if we had just better communicated since the beginning.
What's next for Luna
Build a website
Implement more customization (homepage, feeds)
Give counselling to people (students and their future for ex based on how they choose to customize stuff)
Have the possibility to include short videos on your profile
Video-chat platform to set up interviews or for networking events and job fairs
Have people review their last job offerings
Give the option to sync the profile with other platforms such as Insta or Fb
Built With
firebase
javascript
python
react-native | Luna | Job-seeking reinvented. Helping you find the optimal team for long-term efficiency. | ['Evan Zhang', 'Yinan Zhao'] | [] | ['firebase', 'javascript', 'python', 'react-native'] | 27 |
10,255 | https://devpost.com/software/blockoj-qnpcb7 | BlockOJ
Boundless creativity.
What is BlockOJ?
BlockOJ is an online judge built around Google's Blockly library that teaches children how to code. The library allows us to implement a code editor which lets the user program with various blocks (function blocks, variable blocks, etc.).
On BlockOJ, users can sign up and use our lego-like code editor to solve instructive programming challenges! Solutions can be verified by pitting them against numerous test cases hidden in our servers :) -- simply click the "submit" button and we'll take care of the rest.
Our lightning fast judge, painstakingly written in C, will provide instantaneous feedback on the correctness of your solution (ie. how many of the test cases did your program evaluate correctly?).
Inspiration and Design Motivation
Back in late June, our team came across the article announcing the "
new Ontario elementary math curriculum to include coding starting in Grade 1
." During Hack The 6ix, we wanted to build a practical application that can aid our hard working elementary school teachers deliver the coding aspect of this new curriculum.
We wanted a tool that was
Intuitive to use,
Instructive, and most important of all
Engaging
Using the Blockly library, we were able to use a code editor which resembles building with LEGO: the block-by-block assembly process is
procedural
and children can easily look at the
big picture
of programming by looking at how the blocks interlock with each other.
Our programming challenges aim to gameify learning, making it less intimidating and more appealing to younger audiences. Not only will children using BlockOJ
learn by doing
, but they will also slowly accumulate basic programming know-how through our carefully designed sequence of problems.
Finally, not all our problems are easy. Some are hard (in fact, the problem in our demo is extremely difficult for elementary students). In our opinion, it is beneficial to mix in one or two difficult challenges in problemsets, for they give children the opportunity to gain valuable problem solving experience. Difficult problems also pave room for students to engage with teachers. Solutions are saved so children can easily come back to a difficult problem after they gain more experience.
How we built it
Here's the tl;dr version.
AWS EC2
PostgreSQL
NodeJS
Express
C
Pug
SASS
JavaScript
We used a link shortener for our "Try it out" link because DevPost doesn't like URLs with ports.
Built With
amazon-ec2
amazon-web-services
blockly
c
ec2
express.js
javascript
node.js
postgresql
pug
sass
Try it out
is.gd
github.com | BlockOJ | Interactive, drag-and-drop based online judge that teaches children how to code and solve problems. | ['Ruyi Li', 'Freeman Cheng'] | ["Mentors' Choice"] | ['amazon-ec2', 'amazon-web-services', 'blockly', 'c', 'ec2', 'express.js', 'javascript', 'node.js', 'postgresql', 'pug', 'sass'] | 28 |
10,255 | https://devpost.com/software/amor-4fkigr | Selfie in the Amore Lounge
4 Person Selfie on the Island
Amore Logo
Meduzo and I
Inspiration
My inspiration for Amore comes from the innate desire to love and be loved. During the pandemic, I found it difficult to form connections, whether it be friends or loved ones. In a world where face masks are required and social distancing is the new normal, experiencing intimacy becomes near impossible. Dating apps limit who we meet, where we can go, and how we create lasting relationships. Discrimination, whether it's based on race, gender, or anything else can not be tolerated any longer. As a society, we have forgotten how to truly love one another. That's where Amore comes in.
What it does
Amore is a virtual world that aims to fundamentally change how people meet, interact, and love one another via fully customizable 3D avatars. The avatars move when you move, speak when you speak, and can even express emotions. In the world of Amore, anything is possible. You can dance the night away in the nightclub, participate in meditations, and even meet your soulmate, all while in the comfort of your own home. You can also improve your social skills and rid yourself of your social anxiety by interacting with the Amore AI. People need a new world to escape to, and Amore provides exactly that. There are events such as movies, virtual speed dating, and more. Users can draw together, view 360 content, play sports, and even take selfies. Conventional virtual worlds allow for people of all ages to communicate, but miss the mark when it comes to forming intimate relationships. That is why it is an adult-only virtual world, and how the name came to be.
How I built it
I built the app using a combination of Unity 2019.3, VRIK for Avatar Movement, Salsa for Realtime Lipsync, Photon for Networking, UMA (Unity Multipurpose Avatar System) for Avatar Customization, and Google Cloud for the AI. Amore currently runs on Oculus Quest, and is compatible with other PC VR headsets like Rift S and HTC Vive.
Challenges I ran into
Challenges I ran into had to do with porting the app to work on the Oculus Quest, as Salsa needed a patch in order for it to be compatible with the latest version of UMA. Frequent network crashes were also an issue using the Oculus Quest. I also ran into the challenge of testing, as I am only one person and although I own multiple VR headsets it makes it near impossible to test the multi-user functionality in realtime.
Accomplishments that I'm proud of
I am proud of being able to integrate multiple popular plugins together to create something valuable and immersive. I am proud that Amore solves the problems that run rampant through our society, such as discrimination, loneliness, and depression.
What I learned
I learned that in order to build an app for multiple platforms, developers really need to write code that is compatible with various different SDKs and hardware devices. That is where the plugins come in.
What's next for Amore
I plan on continuing development of the Amore platform to bring the Amore world to the people who need it most in today's society and fundamentally change how we form lasting relationships and strengthen our bonds with one another.
Built With
oculus
photon
salsa
uma
unity
vrik
Try it out
github.com
drive.google.com | Amore | Amore is a virtual reality world for adults focused on eliminating the boundaries associated with forming new relationships in the modern world. | ['Shivam Beniwal', 'Mauricio Martínez González', 'Tyler C. Roach'] | [] | ['oculus', 'photon', 'salsa', 'uma', 'unity', 'vrik'] | 29 |
10,255 | https://devpost.com/software/covid-smart |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
(function (d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
Inspiration
The current covid situation and budget issues with businesses. This helped us to make this kind of app
What it does
It can detect mask worn or not. People are following social distancing or not. Also, provides latest information about the covid-19 cases
How I built it
We used python and android studio to build it. Python was used for creating AI model and chatbot and android studio for application
Challenges I ran into
Challenges:
Time constrain since we are college students and our college timing were morning to afternoon and sometimes till evening too.
Integrating rasa chatbot with android application(unfortunately, this didn't work out).
Integrating AI models of tensorflow with android application.(This worked out xD)
## Accomplishments that I'm proud of
We are proud that we were able to submit this project on time and this is our first global hackathon so very excited. Also, First time for AI integration with android app.
## What I learned
We learnt how can we integrate our AI models with android application. Also, to give our 100% in less time.
## What's next for Covid-Smart
We are planning to integrate chatbot and OpenCV social distancing within our app but lack of guidance we are not able to do it. for chatbot we need a cloud server and for openCV a guidance by expert.
Built With
android-studio
java
python
rapidapi
Try it out
github.com | Covid-Smart | Make life easy and smart | ['Dishant Gandhi', 'Rutvi Rajesh'] | [] | ['android-studio', 'java', 'python', 'rapidapi'] | 30 |
10,255 | https://devpost.com/software/covid19-status-updates | comming soon
Built With
javascript | TOOLING | About Covid19 | [] | [] | ['javascript'] | 31 |
10,255 | https://devpost.com/software/covid-genomics-o3cp1f | Our online tool
Example results of RT-PCR Analyser
The problem our project solves
Hundreds of millions of dollars are currently spent on COVID-19 genome tests, mainly RT-PCR tests. It works based on detecting specific genetic material in a sample collected from the patient. Because of this, in the case of virus mutations, the test specificity and sensitivity can be greatly decreased.
Many of the tests are not suited to the region, where they are used which results in a lot of false-negative outcomes
The sequences are not collided with other coronaviruses genomes, which results in false positives, driving the costs of medical care high and making it harder to unfreeze the economy
When developing the test, the current trend of mutation is not taken into account, so developed tests may start to behave poorly very quickly
What we bring to the table
We give laboratories superpowers, by performing all the sequence analysis for them in just as little as a few minutes.
Our solution enables any laboratory or pharmaceutical company to analyze their RT-PCR test parameters against our database of over 100k SARS-CoV-2 genomes. We check the frequency of mutations and how they affect testing, making tests much more suited to the region where they will be used, enhancing their efficacy. What is more, we verify the given sequences with genomes of other viruses, to test if someone with other diseases than COVID-19 would get a positive result. Shortly we will be also implementing a model that predicts the evolution of the virus. This will enable any laboratory to develop tests much better suited to the current stage of virus mutation.
In the span of the last few days, we managed to deploy a new website with redesigned and enhanced ML models to verify tests much more effectively. We already have contacts with laboratories, which are more than interested in our product..
Our solution’s impact on the crisis
Our mathematical model enriched with ML algorithms is designed to help any laboratory or pharmaceutical company with choosing the right sequences (primers) for the RT-PCR test. Any employee can go to the website, type their primers, and just after a few minutes see how effective they are in different parts of the world. Due to the lockdown, the virus is mutating differently in various parts of the world so this approach is crucial, one test will not be perfect globally. From the company perspective, we are giving them a tool to verify the efficacy of the primers in just a few minutes, which can greatly speed up the process of developing and testing them. This of course saves them a lot of costs and may boost up sales by delivering better tests to the market.
We have talked with over 20 professionals, including doctors, immunologists, laboratories, investors, and mathematicians and they were eager to help us deliver the product on the market. After recognition and awards from Eu vs Virus and many other Hackathons, multiple experts from several fields offered help to develop our solution, which gave us another huge confidence boost in the project.
The necessities to continue the project
For us to scale up this project, we need partners that can help us with getting more computational power to develop much more extensive models. Moreover, we need more contacts with pharmaceutical companies to work with them directly during the development and to know exactly what they require and how to deliver it. Their feedback is invaluable for the success and impact of our product.
The value of our solution after the crisis
We are building our models not to overfit and to work only with the SARS-CoV-2 virus at the moment, but with the plan to generalize them after the pandemic is over. This virus, of course, is not the only virus with which mankind has struggled with. HIV is also well known for its fast mutation rate and we will be implementing several new tools to help with tackling the problem of HIV spread.
Team
We have many years of experience in hackathons and real-life projects. Our team combines a multi-disciplinary knowledge of machine learning, full-stack development, mathematics, and business development. We are mathematics and computer science students at the top Polish university, which is the University of Warsaw. Our Co-Founder is also double-majoring as a medical student at the Medical University of Warsaw.
Grzegorz Preibisch
- Warsaw University - Mathematics, Medical University of Warsaw - Medicine - Experience in virus modeling, performing tests and immunology
Piotr Grzegorczyk
- Warsaw University - Mathematics - Experience in business development, data science & strategical planning
Piotr Styczyński
- Warsaw University- Computer Science - Years of experience in DevOps, design and machine learning
Implementation
Built With
c++
ml
python
react
Try it out
www.covidgenomics.com | Covid Genomics | Startup analysing SARS-CoV-2 mutations in order to help laboratories with developing vaccines & more. | ['Piotr Styczyński', 'Piotr Grzegorczyk', 'GrzegorzPreibisch Preibisch'] | [] | ['c++', 'ml', 'python', 'react'] | 32 |
10,255 | https://devpost.com/software/real-time-social-distancing-detector | Inspiration
Inspiration get form facebook developer community, where each and every member develop out of the box projects.
What it does
Using Computer vision along with deep learning and machine learning provides effective solutions to measure social distancing among humans across the moving frames.
To achieve the above objective, I developed the algorithm which would do pedestrian detection & then measuring the distance between the 2 or more pedestrian by using camera calibration technique. To determine the distance in depth I use the adaptive threshold method with respect to human height.
To visualize it, we used the Red & Green color bounding box across the pedestrians in a frame.
Red color - persons in close proximity & don't follow social distancing.
Green color – persons are far away & follow social distancing
That's how AI will ensure people are far away from each other & follow social distancing.
How I built it
The steps to build a social distancing detector include:
Step #1: Apply object detection to detect all people (and only people) in a video stream (see this tutorial on building an OpenCV people counter).
Step #2: Compute the pairwise distances between all detected people
Step #3: Based on these distances, check to see if any two people are less than N pixels apart
Challenges I ran into
Collecting the large dataset and preprocessing them was a more cumbersome and challenging task.
The calculating distancing between the 2 clusters using camera calibration is one of the challenging tasks.
Accomplishments that I'm proud of
Real-time pre-processing
0.1% latency and 99.4% accurate
Lightweight models used for deploying into production
Easily Integrate with embedded system and mobile device
Features
Live video surveillance to fight against the covid-19 spread
The project can be integrated with embedded systems for application in airports, railway stations, offices, schools, and public places to ensure that public safety guidelines are followed.
Real-time face mask detection and for social distancing tracking the crowd movement across the day time.
Hot-spot areas can be monitored by security forces from the central station.
If AI-based solutions used by authority then there will be less chance to get infected security forces.
What I learned
Integration of pedestrian detection + calibration (i.e checking the distance between the 2 or more objects with respect to the current object.
Model optimization using Mini-batch size, Learning rate, Regularization factors, pruning i.e Layer-specific hyperparameters (like dropout), and batch norm.
What's next for Real-time social distancing Detector
Deploy the model on google cloud
Use docker for faster installation of package and software
Integrate with embedded systems for real-time alert systems.
Integrate with mobile and web devices for message alert system.
Face recognition to allow the authentic users to access to the main data source.
Using blockchain technology, creating a decentralized chain network for security i.e only
allows legitimate user to access the main server example: Security agent, IT
Professional and admin, project manager
Built With
keras
opencv
tensorflow
yolo | Real time social distancing Detector | To fight against COVID-19, the authority recommends social distancing would be an effective solution! Social Distancing Detector ensure people are far away from each other & follow social distancing. | ['Hritik Jaiswal'] | [] | ['keras', 'opencv', 'tensorflow', 'yolo'] | 33 |
10,255 | https://devpost.com/software/advanced-covid-19-project-recommendation-system | Inspiration
To know what people have done so far to address covid-19 issues using technology and be inspired to come up with different ideas to solve problems
What it does
Recommends the covid 19 project currently available online
How I built it
Using BERT I created a model that recommends the available covid19 projects.
What I learned
*Use ML model to build recommendation system
*Understand the BERT Embedding
*Deploy using AWS services
Built With
python
Try it out
github.com | Advanced COVID-19 Project Recommendation System | Project Recommendation System | ['Vidhushini Srinivasan'] | [] | ['python'] | 34 |
10,255 | https://devpost.com/software/sewak | Maps
Hospital Dashboard
Hospital Profile
Hospital Details
Book Schedule with doctor
Inspiration
The healthcare sector is at the epicenter of this unprecedented global pandemic challenge, with rising number of cases finding a bed in a hospital has became a challenge of its own, due to the lack of a unified platform which links the data of all the hospitals in a geographic area and helps to overpass the hustle of finding a hospital with available beds and with the right set of required facilities.
Also, there is a lack of transparency in the current system for a patient looking out for a hospital and it leads to problems at patients end.
What it does
Our solution is a two-way system between a user and health provider. The solution that we developed is a web application named Sewak App, which can be used as a single platform for all healthcare facilities related queries. Our platform can provide support by medical centers around the country, they will be able to provide critical up-to-date information such as: number of COVID-19 tests, number of available ventilators, PPE status, number of COVID-19 patients, type of medical facility(full care, testing only, non-COVID only) to help further guide our algorithm on matching patients with the correct hospitals. Furthermore, we hope to make this data accessible to all medical institutions accessing our database. Furthermore, users can Book an appointment with the doctors of respective hospitals with the help of Sewak’s Time Slot Booking System.
How we built it
We built the frontend setup with ReactJS framework, Redux library and Material-UI components.
The backend is baked on NodeJS with mongoDB Atlas as the database provider of choice.
APIs that were used in project include HERE Maps SDK for geo-encoding.
Challenges we ran into
Integration a reliable authentication provider while also having a flexible data to work with.
Finding pinpoint locations from the user provided address, HERE MAPS SDK helped us out in a lot more ways than this.
Accomplishments that we're proud of
Working with the HERE maps geoencoding API, we managed to add colour based delivery status markers linked to the pickup status of the request.
Working as a team in a limited time frame.
What we learned
As we only have had couple of web projects before this the experience was quite a learning curve for our team. We still were not able to deliver the full concept given the time constraint but we would love to work on this further on and finish the project that we started with.
What's next for Sewak
Volunteering System for Social Workers to help the patients to reach the hospital to avoid public transports and reduce the chances of being infected.
Registering local hospitals in our application and try to scale in real life.
Built With
express.js
here-geocoder
material-ui
mongodb
node.js
react
Try it out
github.com | Sewak | Sewak provide support by medical centers around the country, they will be able to provide critical up-to-date information. | ['Atishay Srivastava', 'Rishabh Shukla', 'bajajvinamr Bajaj', 'Mansi Sharma', 'lit2019023'] | [] | ['express.js', 'here-geocoder', 'material-ui', 'mongodb', 'node.js', 'react'] | 35 |
10,255 | https://devpost.com/software/needzo-qrepxt | Landing
Fund Raising
Request Delivery Form
My Delivery
Request Delivery card
Inspiration
Living in a neighbourhood with a high population of elderly, we see and can feel the need for a handy and user-friendly mobile platform for people to request help or lend a hand to their fellow neighbours, friends and citizens. There are a lot of us healthier individuals who are less at risk, who can do this for them and deliver to them in a safe manner in this COVID-19 situation.
The goal is to allow vulnerable populations who don’t have strong support systems to stay at home and reduce their risk of infection, while ensuring they can still get access to essentials like food and medicine.
What it does
Needzo lets those under self-isolation and other vulnerable groups request deliveries and allows local volunteers to sort through, claim, and complete those deliveries with a gamification system to encourage volunteers to contribute more and feel rewarded for the cause.
In a nutshell the platform lets those under self-isolation in a region post requests for deliveries and allows us to connect those who want to volunteer to help, purchase and deliver groceries for someone in need.
A user can register as a delivery person or a receiver and see a list of corresponding people who they can help or be helped by.
The working flowchart for the platform is added in the image gallery section of the devpost submission.
How we built it
We built the frontend setup with ReactJS framework, Redux library and Reactstrap components.
The backend is baked on NodeJS with mongoDB Atlas as the database provider of choice.
APIs that were used in project include HERE Maps SDK for geo encoding need, Auth0 as the authentication library and axios as the HTTP client.
The payment gateway integrated for driving the platform on donations is powered by Razorpay so that it could be a more at ease and familiar experience for the targeted Indian demographic,
Challenges we ran into
Integration a reliable authentication provider while also having a flexible data to work with. Auth0 solved this problem for us.
Finding pinpoint locations from the user provided address, HERE MAPS SDK helped us out in a lot more ways than this.
Accomplishments that we are proud of
Working with the HERE maps geoencoding API, we managed to add colour based delivery status markers linked to the pickup status of the request.
Working as a team in a limited time frame
Design that gratifies the volunteers to drive and validate their non profit work in a way that motivates then to contribute more on their part.
What we learned
As we only have had couple of web projects before this the experience was quite a learning curve for our team. We still were not able to deliver the full concept given the time constraint but we would love to work on this further on and finish the project that we started with.
What's next for Needzo
Payments Integration for ensuring contactless payments.
Requester and Delivery person can connect and can chat, call with in the app.
Live location of the volunteering person so the requesters can know where are Helpers right now.
Built With
atlas
auth0
express.js
here-geocoder
node.js
react
reactstrap
Try it out
github.com | Needzo | Needzo lets those under self-isolation and other vulnerable groups request deliveries and allows local volunteers to sort through, claim, and complete those deliveries with a gamified approach. | ['Atishay Srivastava', 'Ankesh Bharti'] | [] | ['atlas', 'auth0', 'express.js', 'here-geocoder', 'node.js', 'react', 'reactstrap'] | 36 |
10,255 | https://devpost.com/software/applyai | Landing page
resume upload
edit resume details
view jobs found
successfully applied!
Inspiration
As a result of the COVID-19 pandemic, millions of people lost their jobs and the US unemployment rate reached an all-time-high of nearly 15% in April of 2020. Job hunting has never been easy. It's time consuming, repetitive, and draining.
As students, we've spent countless hours applying to internships and filling in the same details over and over again.
ApplyAI is here to change that.
What it does
ApplyAI is broken into two main features:
First, it parses your resume to automatically fill out as many fields as it can (if you wrote it on your resume once, why should you have to also enter it into a form a million times?). It then will let you modify any of the fields it gathered, and then update your information.
Second, our extensive bot network will be constantly adding new jobs to our database of jobs and will automatically pick a few that best suit you, using fuzzy matching and cosine similarity. These jobs will be displayed to you all in one place at one time, and you can select as many as you would like and click apply once. That's it! You just applied to multiple highly-relevant jobs in under a minute!
How we built it
The frontend is built with HTML, CSS, JS, and Bootstrap. We use Javascript's Fetch API to communicate with the backend. The frontend is hosted on Firebase at
apply-ai.online
.
The backend is a Ubuntu server configured with Nginx serving files to
api.apply-ai.online
. It is built using python and flask, which then communicates with a Firebase Realtime Database and a Google Cloud Storage Bucket to store resumes.
This project also has a cronjob running on our Ubuntu server. This cronjob is constantly indexing many job sites to pull as much useful info as it can, and continues to train our ML model as it goes. This ensures that even with a limited number of jobs on the market, our algorithms will always
be able to provide you with the best job recommendations out there.
Challenges we ran into
Connecting the frontend to the backend took a long time. We, rather naively, began connecting the two at about 2 am on the day of submissions. Integrating the two was not successful until 10 am on the day of submissions. This meant our entire Devpost is being written in an extremely sleep-deprived state, so we hope you like it!
Besides the constant lack of sleep, another challenge was parsing the resume. Unfortunately, pdf resumes don't have a standardized format. This meant in many cases we needed to apply ML instead of an algorithm. Even still, these ML models are by no means perfect. If you run our demo and happen to get weird data in your pre-filled forms, or no data at all, that is likely a result of our model being unable to properly scrape your resume. If you would be willing, we would love to receive your resume so we could work on upgrading the model in the future to support it.
Accomplishments that we're proud of
With only 3 members on our team, and none of us heavy in frontend knowledge, we knew this was an ambitious project. The fact that we got the Devpost submitted is a testament to our perseverance as a team, especially considering I (Eric), only slept about 6 hours this entire hackathon.
What I learned
As cheesy as it sounds, I really learned to be patient. This took a lot of time and restraint while up in the night debugging. When we finally made it through with everything working, it was the greatest feeling of relief ever.
In addition to our excellent practice debugging it, we also learned how to integrate so many moving parts. We wanted to implement many different features so we would be in the running for the Google Cloud prize track. This meant if one thing threw an error we weren't catching, everything would break. We learned just how important proper error handling is.
What's next for ApplyAI
We really hope to improve on our resume parser. Currently, that is definitely a bottleneck.
We also want to integrate our bots with more job posting websites, like monster.com.
Lastly, our bots have trouble applying to many websites where you need to create an account, or there is an "I'm not a robot" functionality. We are thinking of perhaps packaging this as a chrome extension, and when it detects job fields it will fill them out for you.
Built With
bootstrap
css3
firebase
flask
gcp-filestore
html5
javascript
python
Try it out
github.com
github.com
github.com
apply-ai.online | ApplyAI | Job hunting made easy | ['Eric Andrechek', 'Zaina Qasim', 'Nicholas Tao'] | ['Best Educational Hack', 'Best COVID-19 App (Google Cloud)', 'Wolfram Award for Top 30 Hacks', 'Best Domain Registered with Domain.com - USA ONLY', 'Best Automation Hack by Invensity'] | ['bootstrap', 'css3', 'firebase', 'flask', 'gcp-filestore', 'html5', 'javascript', 'python'] | 37 |
10,255 | https://devpost.com/software/ingredient | What's Ingredient
Ingredient is a web application that helps you find food dishes, recipes, and prepare ingredients. Currently, it covers more than 1.7 million recipes. You can browse through these recipes, find the recipe you want and check which ingredients you need and how to prepare them.
How I built it
I've used
Nextjs
,
React
and
Material-UI
to create the app. I've used the recipe API from Edamam and to give fast search suggestions, I've used Algolia
Built With
algolia
edamam
material-ui
nextjs
react
Try it out
ingredient.now.sh | Ingredient | Ingredient is a web application that helps you find food dishes, recipes and prepare ingredients. | ['Prottay Rudra'] | [] | ['algolia', 'edamam', 'material-ui', 'nextjs', 'react'] | 38 |
10,255 | https://devpost.com/software/flavor-flight | iOS Application showing food options near a customer.
Restaurant Menu
Check Out An Order
Order Received
Inspiration
The inspiration for this project comes from seeing the extent of how the food industry has been affected by Covid 19. The world is changing everyday and the food and delivery industries need to modify and adapt in order to be prepared for the future. During this pandemic, many restaurants had to shut down and were only able to serve to customer through delivery. Drone technology has been increasing in recent years and I believe that introducing and implementing this technology in the food delivery industry will help prepare us for social and economic challenges in the future.
What It Does
This application Flavor Flight would deliver meals from restaurants and grocery stores through flight technology.
Users can place orders from local restaurants and they will be delivered by drones!
How I Built It
I built this application using Swift 5/ SwiftUI and the IDE I used was Xcode. All this code is live in my GitHub repository.
Challenges I ran into
Some challenges I ran into included working with SwiftUI which is very new technology, I had to learn how to create with it and be able to build a visual representation. Also, I had some challenges with source control and git but I was able to overcome these by debugging.
Next Steps
The next steps for Flavor Flight include adding the Google Maps API to be able to scale to working with companies and establish a communicative pathway for bagging and delivering customers orders. Additionally, I would like to implement the Stripe API to be able to process transactions. Lastly, I would love to ship to users and see how the world views Flavor Flight!
Built With
drone
google-maps
sketch
stripe
swift
xcode
Try it out
github.com
docs.google.com | Flavor Flight | Reimagining food delivery using drone technology. | ['Kabsa Abdi'] | [] | ['drone', 'google-maps', 'sketch', 'stripe', 'swift', 'xcode'] | 39 |
10,255 | https://devpost.com/software/donateaplate-qfmbj7 | Home Screen
Add donation Screen
Custom Donation Item
Adding Items for a donation from a particular food category
Display Donation Screen
Signup/Login Screen
Inspiration
Every year, an estimated 1.3 billion tonnes of food is wasted globally, amounting to 2.6 trillion dollars annually, which is more than enough to feed all 815 million hungry people in the world ten times over. Although inefficient consumer habits are contributors, the majority of food waste comes from the supply chain majorly constituting distributors, retailers and restaurants. As 12th Grade High School Students from Bangalore, India, we envisioned our app DonateAPlate which allows local restaurants, supermarkets as well as individual donors to donate, daily or weekly, the excess unused food by setting up highly customizable donations through the app.
What it does
DonateAPlate allows local restaurants, supermarkets as well as individual donors to donate, daily or weekly, the excess unused food by setting up highly customizable donations through the app. In addition, NGOs and other charity organizations can view and sort nearby donations for pickup, by requesting donations from the donors. The entire system allows feasible communication between the 2 entities directly through the app, and also allocates points for each successful donation, calculated based upon, distance, food weight, etc, and users can view monthly leaderboards to see how their social work stacks up against other users.
The app portrays a stunning UI design accompanied by an interactive user experience, allowing for clean navigation and modern usability.
Please note : The entire project has been completely implemented and released on the Google Play Store last week, ready to be scaled.
Link -
https://play.google.com/store/apps/details?id=restaurantapp.randc.com.restaurant_app
How we built it
The app was developed on Android Studio deployed on the Gradle Framework with 20,000+ Lines of code, in Java, Kotlin & XML. Various APIs such as the Google Maps & Places APIs were integrated into the app. The Backend data storage was built on Firebase and implemented FireStore, Firebase Realtime Database, Firebase User Authentication & Firebase ML.
Challenges we ran into
Initially we were unsure whether we would be able to complete the app & fully implement it in time for the submission. We had to do a lot of adjustments like choosing a suitable database for efficient and feasible backend development, which is why we chose Firebase. In addition, we had to plan out the maximum number of features we could implement in the time interval, making adjustments along the way. But at the end, everything turned out well, and we have a stunning video accompanying our completed product.
What we learned
Throughout the course of the project, we learnt various UI/UX architecture practices as well as efficient models set up on the Firebase backend for efficient and economical database scaling & usage. Overall, we really boosted our app development skills through this project, and it was an enjoyable learning experience.
What's next for DonateAPlate
Since our app is logically scalable to all across the world, with virtually no constraints, since it acts as an efficient platform and link for restaurants/supermarkets to donate food to NGOs, with the sufficient help and guidance, we believe we can scale the app globally, and implement the objective with various restaurants / NGOs across the world, hopefully bringing about a smart, efficient and economical way to tackle the ongoing food crisis (which has been especially critical, due to the amplification caused by the pandemic), while at the same time, cutting down the unholy amount of food wasted by our species worldwide.
Built With
android
android-studio
firebase
google-maps
gradle
java
kotlin
ml
xml
Try it out
play.google.com | DonateAPlate - We're hungry for your donations! | Are you ready to take a bite out of hunger? | ['Chandrachud Gowda', 'Rohit Kanagal'] | [] | ['android', 'android-studio', 'firebase', 'google-maps', 'gradle', 'java', 'kotlin', 'ml', 'xml'] | 40 |
10,255 | https://devpost.com/software/whatswhere | Category: Social Distancing, Food Delivery
WhatsWhere
We highly recommend you try out our app for yourself. Our app went live today (Friday, August 21st) and is ready to be used by real users and continually iterated on.
WhatsWhere seeks to enable its users to minimize their contact with others while shopping for essentials. All too often we have gone to stores for a product on sale only to find that it is out of stock. Even if you were willing to pay for convenience, you now need to drive to another store and expose yourself to a whole new set of people. This is obviously inconvenient, but in the times we live in, it could even be deadly.
What's WhatsWhere?
The app simplifies grocery shopping by consolidating your shopping list to the fewest stores possible. This is accomplished through crowdsourced data that our users provide as a community in the demo, but this can just as easily leverage the inventory systems of stores that partner with us. Once our platform gains enough users, stores will be naturally incentivised to provide realtime inventory data.
There are four main features that WhatsWhere has available today, which we hope to augment with more updates in the future.
Stock level data for nearby stores, with an interactive map to view stores in the area
A virtual shopping list that allows the user to determine the best store in the area to go to in order to get all of their items
A recipe browser for easily finding ingredients and adding them to your shopping list
Pages allowing the users to submit stock level data while at the store
WhatsWhere also provides us insight into local consumer spending habits that can be used to better target other food-related products and services to communities. This data would likely become more valuable than the alternative monetization option of promoted stores.
What's the WhatsWhere Score?
The WhatsWhere score is a number from 0-100 that tells the user how desirable a store is based on their shopping list. A score of 100 means that a user can get their shopping list done with ease! The user won't have to worry about picking undesirable produce or fighting over the last bag of chips. We use our proprietary algorithm uses numerous factors to accurately calculate the desirability of each store for each and every user. Simply put, users can always find the store they should go to using the WhatsWhere score.
Why WhatsWhere?
WhatsWhere was conceived as a means to minimize the contact the users have in public by minimizing their contact with others while shopping for essentials. To achieve this, our app allows a person who might have gone to many grocery stores to find the products they need can now confidently go to a single store and minimize their contact with others. This helps to achieve social distancing by ensuring that people are going to fewer stores, thereby reducing the number of people going to these essential stores that cannot close.
We were also inspired by the toilet paper shortages that struck when the pandemic first emerged. It occured because a few stores ran out of toilet paper, and those few intances being broadcasted in the media and creating panic. With our app, users can see when items are
actually
going out of stock and not become swept up in the panic caused by a few isolated cases of stores running out.
How did we build it?
Our application requires no code running on our servers, instead leveraging the clients for all code execution which makes it possible to serve the pages entirely statically. This allows out app to be scalable and easily serve more clients with minimal changes to our infrastructure. This also allows for the location of the user to never need to leave their device, with us only handling data related to shopping lists of groceries.
We leverage Google's Firebase for a realtime shared database holding our data. This data is anonomized such that while everyone can submit entries to the database, other users cannot read other user's data, nor can we see where users are contributing to deduce their locations. This ensures data security of our platform, and allow the public to use our app trusting that we are not able to obtain data that could be considered sensitive.
The frontend is done almost entirely in Bootstrap 4, with some widgets such as the Google Sign-in button being done from scratch (which if nothing else, we're sure we will take away from this project to use in the future). The pages are designed to be responsive and adapt seamlessly to screen sizes from desktop down to mobile.
We collaborated over Visual Studio Code's Live Share extension and Discord, which we found well suited for having multiple people working on the same files simultaneously, and sharing a local webserver.
The future of WhatsWhere
We set out to make a product with utility that extends beyond the current pandemic situation we face. Even after the pandemic, our app will still be useful for those who want to be sure of the stock available at stores before they leave the house. With the rise of ecommerce, brick-and-mortar stores will have to leverage their advantage of customers being able to have product in hand without waiting for shipping. Arriving at a grocery store only to find a needed product out of stock damages the experience of stores, and our app is positioned to solve this issue.
We will, in the near future, integrate means of allowing stores to purchase a promoted position in the store listings to drive traffic. This would not change their scores and ensure that our app is still an imparital means of determining if the store has what users need. Additionally, once a region gains enough users, we can begin to monetize the platform. Local grocery stores will be charged a subscription fee to be featured on our app. Most stores in the area will be naturally incentivised to pay this fee as it is needed to stay competitive.
The Team
Dhyey Mehta
In a sort of throw everything at the wall and see what sticks kind of way, Dhyey enjoys playing with different technologies that he has encountered through the years. Although not always the most knowledgeable at first, he strives to learn new things, is quick to adapt to use them, and improve his future projects with them. Combined with a healthy appreciation for teamwork and comedic relief, he is always ready to dive head-first into any project.
Ernest Wong
Ernest is a kid at heart and is curious about everything. He’s always asking questions about his interests ranging from new technologies all the way to finance. Being quite involved with his community, he uses his love for learning to help others.
George Shao
George is unafraid to take risks and seek new learning opportunities. He enjoys learning about fascinating new technologies, frameworks, and APIs, and employing them in his personal programming projects. In his spare time, George teaches elementary, high school, and university students about robotics and programming.
Sean Gordon
Sean makes —but just as often breaks— things in his tech projects. He loves to work with the parts of projects users don't see: infrastructure, backends, and hardware that powers large projects. When the code breaks in an obscure manner and everything isn't working, Sean is the one that finds elegant solutions to otherwise complex problems.
Watch the pitch!
Check out our ad!
Built With
bootstrap
css
firebase
google-maps
google-places
html5
javascript
jquery
nginx
oauth
Try it out
whatswhere.info
github.com | WhatsWhere | A crowdsourced grocery stock-tracking app to make your grocery shopping trips as short and efficient as possible. | ['Sean Gordon', 'Dhyey Mehta', 'Ernest Wong', 'George Shao'] | [] | ['bootstrap', 'css', 'firebase', 'google-maps', 'google-places', 'html5', 'javascript', 'jquery', 'nginx', 'oauth'] | 41 |
10,255 | https://devpost.com/software/selma-voice-enabled-cui-for-disease-self-management | Table from "Living a Healthy Life with Chronic Conditions" Third Edition
Selma services running as containers on a RedHat OpenShift cluster
OpenShift container log stream
Developing Selma in F# using Visual Studio
Wit.ai training on utterances
Inspiration
Covid-19 and chronic illnesses
Healthcare providers around the world are faced with looming, potentially reoccurring crises of disease treatment and patient resources becoming critically overloaded. People who suffer from chronic illnesses and disabilities are the most severely affected, both by the pandemic itself and by the pandemic's impacts on health care systems. People with pre-existing conditions like diabetes, asthma, cancer etc. are at
higher risk
from the virus, but must also cope with health care resources being diverted towards treatment of acute conditions and emergencies that must be given priority.
What is self-management?
Self-management can be defined as the methods, skills, and strategies by which
individuals effectively direct their own activities toward the achievement of
specific objectives. It usually includes goal-setting, planning, scheduling, task
tracking, self-evaluation, self-intervention, and self-development.
In healthcare, self-management typically refers to the training, skill acquisition, and
interventions through which patients who suffer from a disease or a chronic condition may
take care of themselves and manage their illnesses.
From
Self-Management of Depression A Manual for Mental Health and Primary Care Professionals
by Albert Yeung et. al
A self-management program teaches patients to see treatment as a collaborative process with the patient taking responsibility for self-monitoring and tracking their symptoms as well as medication intake and other vital information, together with a commitment to using evidence-based, self-administered structured therapy and intervention as adjuncts to professionally delivered interventions for managing their illness. Many chronic disease self-management
programs
and
resources
have been developed for diseases and conditions like arthritis, asthma, diabetes, heart-disease, high-blood pressure, depression, obesity, smoking-cessation etc.
The problem
There are many Android and iOS mobile apps in the category of self-management and self-help like task planners, time and activity trackers, med and symptom trackers, journals etc. For desktop users there is bStable for managing Bipolar Disorder, as well several telemedicine and CBT apps designed to deliver specific therapies remotely, together with the usual assortment of general-purpose calendars, task management and time tracking tools.
All of these apps however rely on GUIs and touch interfaces with visual forms and widgets for entering and reviewing data and presenting information.
McGraw System's "bstable" desktop app for bipolar disease management
These types of interfaces can be inaccessible or difficult to use for older people unaccustomed to complex GUI interfaces, or people with neuropathy, arthritis, and generally people with vision or motor disabilities or chronic conditions. A large proportion of the target user-base for these apps and systems would benefit from simpler systems or the ability to rely on assistive technology to help then navigate modern desktop and web applications. Microsoft, Apple and Google have made major advancements in accessibility technology for their operating systems with Microsoft’s Windows Narrator and Apple’s VoiceOver technology in particular being widely used by people with vision disabilities. But even with the best assistive technology, app interfaces and web pages that rely on a persistent visual medium can be frustratingly difficult to use for disabled people as they force users to navigate linearly through large hierarchies of visual widgets which use visual orientation in space and visual style elements like font sizes to effectively organize and present information.
The most accessible app interfaces for older people and people with disabilities are voice assistants like Cortana and Siri and Alexa.
What it does
Selma is a multimodal CUI that provides an inclusive interface to self-management tools like medication trackers, mood and symptom trackers, dream and sleep journals, time, activity and exercise, trackers, personal planners, reliable knowledge bases on health conditions and diseases, and similar tools used in the management of chronic physical and mental diseases and disorders and conditions like ADHD or chronic pain where.self-management skills for life activities are critical.
Selma follows in the tradition of 'therapy bots' like ELIZA but updated with powerful ML-trained NLU models for interacting with users in real-time using both typed text and speech. Existing self-management apps like journal, activity-, and symptom-tracking apps all use GUIs or touch UIs and assume users are sighted and dexterous. The reliance on a visual medium and complex interface for entering and reviewing daily self-management data is a significant barrier to adoption of these apps by people with disabilities and chronic conditions, who form a majority of a self-management app's user base.
Selma eschews complex GUI forms and visual widgets like scales and calendars and instead uses a simple line-oriented conversational user interface that uses automatic speech recognition and natural language understanding models for transcribing and extracting symptom descriptions, journal entries, and other user input that traditionally requires navigating and completing data entry forms. Patients interact with Selma using simple natural language commands or questions and enter their journal or medication or symptom tracking entry using speech or text. The captured audio and text is analyzed using NLU models trained to extract relevant details spoken by the patient on their medication intake, mood, activities, symptoms and other self-management details, which are then added to the user’s self-management journals.
The Selma CUI is an accessible user interface that produces text output easily read by screen readers, braille displays and other assistive technology. Users interact in a conversational style with Selma which gathers information in specific areas and guides the user through specific tasks like daily medication and mood tracking and filling out periodic journal entries and evaluations. Users can ask questions (“Did I take my meds today?”, “Did I go out this week?”) and bots can answer intelligently based on information previously captured and analyzed. With the user's consent the information gathered can be automatically sent to the patient’s health providers, reducing the time needed for administering these routine tasks and allowing face-to-face communication and direct supervision with a practitioner to be conserved and more effectively use. The information can also be analyzed for possibly warning symptoms or threats of acute events that may require intervention.
Selma uses Facebook's Wit.ai NLU service for understanding what users say and and input as text.
How I built it
Overview
Selma is written in F#, running on .NET Core and using PostgreSQL as the storage back-end. The Selma front-end is a browser-based CUI which uses natural language understanding on both text and speech, together with voice, text and graphic output using HTML5 features like the WebSpeech API to provide an inclusive interface to self-management data for one or more self-management programs the user enrolls in. The front-end is designed to be accessible to all mobile and desktop users and does not require any additional software beyond a HTML5 compatible browser.
Client
The
CUI
,
server
logic
and
core
of Selma are written in F# and make heavy use of functional language features like first-class functions, algebraic types, pattern-matching, immutability by default, and avoiding nulls using
Option
types. This yields code that is concise and easy to understand and eliminates many common code errors, which is an important feature for developing health-care management software. CUI rules are implemented in a declarative way using F# pattern matching, which greatly reduces the complexity of the branching logic required for a rule-based chatbot.
Server
The Selma server is designed around a set of micro-services running on the OpenShift Container Platform which talk to the client and stored data in the storage backend.
Since the data is highly-relational and commonly requires calculation of statistics across aggregates, a traditional SQL server is used for data storage.
What's next
Working with local health-care providers to develop structured self-management programs. I'd also like to investigate the use of custom speech recognition models for other English speaking countries with Wit.ai as (can be seen in the video) sometimes the Wit.al voice recognition doesn't pick up what I say due to different intonation.
Built With
.net
c#
f#
kubernetes
mongodb
nlu
openshift
postgresql
webspeech
wit.ai
Try it out
selma-victor.apps.us-east-2.starter.openshift-online.com
github.com | Selma: Voice-enabled CUI for chronic disease self-management | Multimodal CUI for delivering chronic disease self-management programs to people with disabilities or anyone who finds touch- and mouse-driven GUIs inaccessible. | ['Allister Beharry'] | [] | ['.net', 'c#', 'f#', 'kubernetes', 'mongodb', 'nlu', 'openshift', 'postgresql', 'webspeech', 'wit.ai'] | 42 |
10,255 | https://devpost.com/software/tf7c7guv8v | BACKGROUND OF IDEA CONCEPTION:
While thinking on the countless number of people put at risk due to the outdated delivery methods employed by a high tech society. I realized that package delivery such be automated just as the warehouse of large e-commerce companies.
The technology for such a move already exists so I thought until I thought deeper and found out that the puzzle of automating delivery had an important piece missing.
In the past few year drone technology has been viewed as the next big thigh in delivery but because of limitation faced by this technology such as security, battery life and bad weather adoption has been very slow.
Then I came up with the idea of an integrated network of package receivers that solve the security and weather problem and also give the drones infinite range.
Built With
communication-system
database
drones
network | Automated package delivery system | A system that automates package delivery and eliminates all bottlenecks in the process of delivering products ordered online. Making package delivery more simple and stress free than letter delivery. | ['Promise Adeleke'] | [] | ['communication-system', 'database', 'drones', 'network'] | 43 |
10,255 | https://devpost.com/software/priomed | User Experience Flow
Website
Doctors' Priorities Database
Patients' Database #1
Patients' Database #2
App Development #1
App Development #2
Have you ever waited so long in a hospital that the doctor seems to never get to you?
When waiting for medical assistance time runs so much slower.
Waiting on the corridor is unbearable especially when in pain. Most of the times
it's impossible for a doctor to pick which patient needs the most urgent medical attention
and just takes care of them in the order they came. When it comes to illness, time is incredibly precious and a lot of patients suffer because they did not get help in time.
Our project wants to help the patient as well as the doctor. The program is designed to put in order the patients depending on the gravity of their state and inform the doctor who should be next in line. To do so, the patient completes an online form, which is traditionally filled on paper, but now is being sent to a database. Using the application on his tablet, the doctor can access the data and customise his criteria of ordering depending on his speciality.
PrioMed aims to connect the patient and the doctor and to create a sense of trust and security between the two parts.
The whole story
We were inspired by the reality in our hospitals and the fact that the doctors are overwhelmed by the number of patients. In this situation it is compulsory to find a method to ease the process and help both patients and doctors to work together.
What we learned
None of us have done in the past Web design or written any code in HTML or JavaScript and it was a challenge to learn something from scratch in such a short time. We started by learning some basic HTML and after that we began to code our way through the project. This was also the first time we worked with an online database.
Lacking a medical background but only the biology classes in high school, we got to learn a lot of medical terms and even how our medical system works.
This was an incredible experience in which we got to explore a lot of unknown topics and programming languages.
How we built
We always taught that division of work is super important. Teo was in charge of the Android application, Maria of the database and the connection with the HTML code and Diana worked on the medical part, translation and coding the terms into the HTML form.
Challenges we faced
We had some difficulties with the connection between the site and the database but which we overpassed by working together.
What's next for PrioMed
When everything will be ready, we will merge the C++ algorithm, the database, HTML code and Android application into what we proudly call PrioMed.
Built With
c++
css
firebase
flowmapp
html
javascript
mit-app-inventor
photoshop
Try it out
priomed.net
github.com | PrioMed | PrioMed is a platform designed to intermediate the doctor-patient relationship. It puts in order the patients depending on the gravity of their state and informs the doctor who should be next in line. | ['Teodora Moraru', 'Maria Gavenea', 'Popescu Diana-Elena'] | ['Best Health Hack'] | ['c++', 'css', 'firebase', 'flowmapp', 'html', 'javascript', 'mit-app-inventor', 'photoshop'] | 44 |
10,255 | https://devpost.com/software/food-circle | Inspiration
TODO
What it does
TODO
Establishment benefits:
TODO
Driver benefits:
TODO
How I built it
TODO
What's next for Food Circle
TODO
Built With
flask
python | FC - Pilot | FC - Pilot Project | ['Nathan Kurelo Wilk'] | [] | ['flask', 'python'] | 45 |
10,255 | https://devpost.com/software/easygas | High Level Architecture
Customer's information for a particular device
Connected Field Service Dashboard
Device Operator Dashboard
Field Service Mobile for dispatchers and field technicians
Schedule board for creating, managing, and assigning work orders
End users mobile application
Inspiration
In most African countries, LPG (Liquefied Petroleum Gas) is very important as it used for heating and cooking. With no easy way of monitoring LPG level, people often run out of gas while cooking or leaks could happen unnoticed. The issue is, they can't plan their LPG usage, mostly refill when empty, and go out for refill. The pandemic, which now has almost everyone indoors and working from home now seem to be the new normal, there is a need for gas vendors to offer reliable refill and maintenance services remotely to customers.
What it does
With easyGas, these unintelligent LPG cylinders are made intelligent by embedding an IoT device, using the gas pressure for precise level measurement. LPG level can now be monitored accurately, and leakage can be easily spotted in near real-time. Customers do not need to wait until they run out of gas, easyGas Mobile App will enable them monitor, receive push notifications, connect to nearby gas vendors, and pay for services.
How we built it
This product leverages the Microsoft Azure IoT Central for device provisioning, management, and monitoring. Azure Blob storage for storing sensor data for historical analysis, Power Automate for creating workflows, Microsoft Dynamics 365 Field Service for creating and assigning work orders, Field Service Mobile for dispatchers and field technicians, and Flutter for the mobile app for end users.
Challenges we ran into
The major challenge we ran into is deciding how best to portray the solution in a short time. We wanted to make sure that whoever sees what we have built will have a good understanding of easyGas.
Accomplishments that we're proud of
Coming up with the first POC (proof of concept) for easyGas was quite a difficult task as we had to learn in the process. This made it exciting for the team and we are happy how it turned out.
What we learned
Working on this solution remotely was something we had to learn. We had to create tasks, set timelines, and monitor our progress. We were also new to some technologies like the Microsoft dynamics 365 for Field Service, we had to set timelines for this and it was an awesome learning experience.
What's next for easyGas
The plan is to get the MVP (Minimum Viable Product) ready, test the MVP with few interested customers, learn from the feedback gotten, and then introduce more features as time goes on. The main goal is to take easyGas into production.
Built With
azure
azure-iot-suite
blob
connectedfieldservice
dynamics365
fieldservicemobile
flutter
iotcentral
logicapps
powerautomate | easyGas | A solution that monitors your gas level, detect leakages, and connects you to vendors for refills and fixes. You do not have to refill when empty, easyGas helps you plan your gas usage. | ['Clement Dike', 'EngrEric Okemmadu', 'Damilola Omiyera'] | [] | ['azure', 'azure-iot-suite', 'blob', 'connectedfieldservice', 'dynamics365', 'fieldservicemobile', 'flutter', 'iotcentral', 'logicapps', 'powerautomate'] | 46 |
10,255 | https://devpost.com/software/emergex-sqog4k | Inspiration
We had won the grand prize at an APAC-level hackathon and he got a chance to go to a startup conference in HongKong this summer. But due to the pandemic, it was canceled. Now, we are not sure if we’ll go even if the conference is next year. We realized this would be the case for many travelers, both leisure and business. One of the major problems would be making travelers gain the confidence to travel again. We decided to do something to encourage people to travel, by assuring them of safety.
What it does
We have created software services for hotels, airports, parks, restaurants, museums, theatres, and other enclosed private tourist spots. Our system will automatically detect whether people are following social distancing and whether they are wearing masks or not, from CCTV footage. These places can advertise that they’re using an automated system to ensure safety, and this will attract more tourists. The other facet of our solution is a website for travelers/tourists. This service can be used by any travel company as an additional service to the users. Users can pick a destination and a date of interest. We will show them the updates of that city, and give the estimated number of cases along with news of that place. This estimation is based on a predictive ML model. This will help users make an informed decision and they can postpone their trip well in advance, without losing out money on cancellation charges. This will also help air travel companies and hotels, who have to bear losses if a person cancels their stay. Lastly, an online immigration form will be provided to minimize physical touchpoints.
How I built it
We have taken a sample recording of the CCTV camera footage. A machine learning model detects and classifies various bounding boxes based on the distance between people in the video. Also, we have the Mask detection algorithm which was built using CNN and it checks whether people are wearing a mask or not and creates a bounding box around the face. So the viewer knows the number of people violating the norms. These models were built in Python. For COVID trend prediction, we had used the RNN model.
For news and daily updates of the COVID cases, the data is scraped online and displayed on the website available online. The website for travel users (of the hotel, market, tourist spot) was built using React, Firebase, and Node.
Challenges I ran into
Data Privacy was the one challenge we encountered during this Hackathon. However, the service which we will be providing will enable the private tourist places to analyze the data and count the number of people maintaining the social distancing norms without giving any private information of the person from the CCTV frames. The clients will just have to push the data in the backend for our analysis so that we can give them a safety rating. In the future, we plan to add a pipeline which will blur the faces of the people present to provide an even safer and secure service.
Accomplishments that I'm proud of
We are proud of the fact that our project will help many travelers, both leisure and business in the aftermath of this pandemic. We will be providing one of the major strengths to travelers that are gaining confidence to travel again. We are really happy to be part of the change that will boost & encourage people to travel safely.
What I learned
We learned the importance of teamwork and work together even though not being in touch physically. We interacted with online and distributed tasks to each other. We learned to ideate and come up with an innovative solution in a short span of time. We faced many challenged while the hackathon but we were determined to go on and we persevered.
What's next for EmergeX
The next plan would be to host our entire web application on the cloud. The ML models and the backend will be deployed on the cloud. In phase 1, we would like to try out this solution locally. We will tie-up with local hotel chains and tourist spots in Mumbai and devise a basic billing plan to start earning revenues along with other travel agencies so that they can use our web app as an additional module or service. We will also release our app for tourists on the play store. After these iterations and learning from the results, we would like to partner with more places and or a company like Trivago which can in turn sell these services to its partners.
Built With
css
html5
javascript
machine-learning
node.js
Try it out
github.com | EmergeX | An AI-powered holistic solution for inducing confidence in people to travel safely again. | ['Vedant Kumar', 'Parth Shingala', 'Pradhuman Singh', 'Siddhant Kumar'] | [] | ['css', 'html5', 'javascript', 'machine-learning', 'node.js'] | 47 |
10,255 | https://devpost.com/software/safe-ride-d4km20 | Inspiration
COMING SOON
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Ri-App
Built With
javascript | Ri-App | System | [] | [] | ['javascript'] | 48 |
10,255 | https://devpost.com/software/hi-ride-medical-team | Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
coming soon
Built With
php | Team1 | coming soon | [] | [] | ['php'] | 49 |
10,255 | https://devpost.com/software/youtube-1o2a46 | 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 YOUTUBE.
Built With
portugues
Try it out
www.twitter.com | YOUTUBE | MINHA PAGINA | ['Viviane Coelho Ulysséa'] | [] | ['portugues'] | 50 |
10,255 | https://devpost.com/software/mixpose-yoga | Inspiration
We are building a yoga platform because yoga has helped our families get out of depression. As a side benefit, it has made us more fit and flexible. Throughout COVID-19, people are required to social distance and loneliness has become a big problem. We want to empower instructors to be able to produce better quality content and allow people to do yoga at home, and if possible, with friends in aid of creating community and battling loneliness.
What it does
We are building a live stream yoga class on Android, iOS and web application. What makes our app special and unlike other live streaming apps is we are using A.I. pose tracking and stick figures to provide a feedback loop from instructors to users. This way students are able to see each other, and instructors can view all of the students.
How I built it
We used Agora’s Real Time Engagement Video SDK. Then we are running TensorFlow A.I. pose detection on top. Once we get the skeleton points, we can then draw the stick figure through Augmented Reality. Since you can’t inference on top of the HTML video element, We did this is by creating a canvas to redraw all the livestream, then running the inference on top of the canvas itself to draw the detection. After the detection is done, we then draw the stick figure through the A.R. overlay on top of user’s live feed video in real time.
We are also giving choices for users to either join the public channels, their own private channel or create a channel for their friends to take the yoga class together. The instructors will be subscribed to all the channels. This way students can protect their privacy from other students while still allowing the instructor to guide them. Because we are using Agora SDK across all platforms, the Android user can actually now see the web users and vice versa, with instructors seeing everyone indistinguishably.
Challenges I ran into
Getting A.I. to run on top of live video feed from Agora’s Video SDK proved to be a little more difficult than we thought, but we were able to solve the problem by redrawing the video feed onto a canvas then doing the inference on top of the canvas itself. We have documented our solution on
https://www.hackster.io/mixpose/running-ai-pose-detection-on-top-of-agora-video-sdk-d812ce
Another challenge was that some users don’t really want to turn on their camera, so we created a private mode to try to accommodate their privacy concerns via Agora’s SDK.
Accomplishments that I’m proud of
We’ve launched web app on
https://mixpose.com
and we are now testing it with actual users. This is much more scarier because we want to ensure our users have the best experiences using our application.
After pushing the Android Minimum Viable Product into Google Play, we were able to receive our first few purchases.
Another accomplishment we are very proud of is that we actually have the license to use the yoga music in our classes and we are using it in the demo video. :)
What I learned
A lot, from how to stream high quality video to how to teach yoga instructors on how to use latest software. Other things we learned were how to train A.I. models for yoga poses, and how users are much less forgiving when something goes wrong, especially if they are paying.
What’s next for MixPose Web
We are ready to take this idea forward and turn it into a startup. 3 of us Co-Founders have quit our jobs to working towards it full steam ahead. Try out one of our class at
https://mixpose.com
Built With
agora
android
firebase
ios
mlkit
posenet
tensorflow
Try it out
mixpose.com
github.com
www.hackster.io | MixPose Yoga | MixPose is a live streaming platform for yoga classes. We use A.I. on the Edge to do pose detection for the users and to send feedback to the yoga instructors to create a more interactive class. | ['Sarah Han', 'Ethan Fan', 'Peter Ma'] | [] | ['agora', 'android', 'firebase', 'ios', 'mlkit', 'posenet', 'tensorflow'] | 51 |
10,255 | https://devpost.com/software/esa-h1a0tu | Inspiration
To respond to COVID 19 mental health challenges.
Built With
bootstrap
flutter
html5
ui | Crisis App | To provide emotional support | [] | [] | ['bootstrap', 'flutter', 'html5', 'ui'] | 52 |
10,255 | https://devpost.com/software/good-vibes-web | The problem Xper solves
In the world of Web Development, I have always faced one major/irritating problem which is responsiveness of a website. Everytime when I am developing a website, I make a quick change and push it in order to quickly check how it looks on my phone. And it does not even update in RealTime!!! Now I know we can simply turn on the inspector and toggle to mobile screen mode to have a look and get an idea of how it might look on a mobile device, but is it accurate? I still always have this urge to check something that I spent hours working on in realtime, on my phone!!
Imagine, a tool/code editor where you can simply write code, and then deploy it, and see your deployed code update in realtime, as you code on all DEVICES that has your website open. Imagine how easy it would be to see your code’s output just after you make that small two line change to your code and see it update in REALTIME on your phone without connecting your laptop to it. Imagine being able to edit your code on any device that you visit your website from!!
Built With
acejs
firebase
javascript
react
Try it out
xperbycoder.netlify.app
github.com | Xper | Xper is a realtime code editor where you can both write and save your code in realtime! | ['Jaagrav Seal'] | [] | ['acejs', 'firebase', 'javascript', 'react'] | 53 |
10,255 | https://devpost.com/software/odion-ighalo | Inspiration
Where I grew up in Nigeria, in Lagos, every kid's desire is to play football. When I would see kids going out to play football, I would like to join them to play,
That is how I got that passion to play football. Every day, I had to go out there and join the guys to play football.
My mum, too, is one of my inspirations, because she always encouraged me.
What it does
Odion Ighalo plays a striker, good with both feet, at manchester united
How I built it
Took immense amount of energy, dedication, patience and hardwork
Challenges I ran into
Competing with the best, ronaldo, zlatan etc
Accomplishments that I'm proud of
Playing for man utd
top scorer at CONCAF
What I learned
Lots of things, especially to love
What's next for ODION IGHALO
Win trophy for Man United
Built With
java
Try it out
en.wikipedia.org | ODION IGHALO | Odion Jude Ighalo is a Nigerian professional footballer who plays as a striker for English Premier League club Manchester United, on loan from Shanghai Greenland Shenhua of the Chinese Super League. | ['Saurav Sharma'] | [] | ['java'] | 54 |
10,255 | https://devpost.com/software/immunipass-ysnht2 | null | Accidental Submission, Please remove | null | ['Veer Gadodia'] | [] | [] | 55 |
10,255 | https://devpost.com/software/immunipass | Integrated video submssion:
https://docs.google.com/document/d/1DSdIxdrZcJgPvmX8qjXTLevgPowt8BOWQYNQ2kuJLO8/edit?usp=sharing
Inspiration
The COVID-19 vaccines are estimated to arrive around one to two years from now, when the world will be completely shattered by the pandemic. When public areas and transportation systems start going back to normal, there will be complete chaos as the vaccines would have just started shipping. There would be no way to know who is immunized and who is not. To solve this problem,
we propose ImmuniPass: A standardized digital verification system for identifying immunized individuals in transport systems such as buses, metro, cabs and even airplanes, and public areas such as malls, restaurants, airports etc.
What it does
Our mobile app enables immunized individuals to access public vehicles areas by verifying that they are immunized by a unique two-step process:
First, the owner or manager of a public area or vehicle (such as the cab driver or a restaurant owner) scans a unique QR code automatically generated by the app.
Next, they take a photo of the immunized person, and our backend server runs a secure face ID using AES encrypted, prior collected face data of the person. This ensures that the account represented by the QR code belongs to the same person.
This now registers this person into that vehicle/area and they can get notifications on the potential risks detected, as explained below.
We have developed a security surveillance system that uses security cameras, microphones, and other sensors to do the following:
Runs advanced camera vision models on real time video to detect whether the people in a certain area or vehicle are wearing face masks or not.
Runs machine learning models on real time audio data from microphones to detect if anyone is coughing in that area/vehicle.
Uses various sensors to detect air quality.
If any security risk is seen in a certain area/vehicle (for example if multiple instances of people coughing were detected in a bus), our backend server automatically sends a notification to alert all the people who are registered in that area/vehicle at the time, as well as the manager of the area (such as the bus driver) about the potential risks. This feature also comes with a system specifically for vehicles, where the user can scan an image of a license plate, and get the past data pertaining to that vehicle.
Lastly, we have developed a web app for doctors and hospital agencies, where verified immunization centers can register new people into the system, who were previously un-immunized, along with their face data, after giving them the vaccine. This web app also provides data visualization of the surveillance data for doctors to analyze trends. To make this system more user friendly, we have added a feature in our mobile app, by which un-immunized individuals can find nearby verified immunization centers, via the google maps API.
How we built it
In order to build our system, we used an assortment of technologies and platforms:
React native
to build the frontend interface for both users and managers of public areas.
React js
to build a web app for doctors and hospitals to register immunized people into the system
Auth0
, which we integrated with our react native app and react web frontend, for login, registration, and authentication.
Flask Python
for our backend server, mainly for integrating the front-end with the database.
MongoDB
Atlas to store user data, hashed passwords, registered immunization centers, and environment data such as Air Quality
Python OpenCV + Keras
for mask detection from video feeds.
Google’s teachable machine
for cough detection, which takes into account background noise from real time audio data in a noisy public area or in traffic.
Dlib + OpenCV
for facial recognition and SHA256 + AES encryption for secure storage of face data.
Vercel
to deploy our react web app.
Raspberry pi
with a webcam, microphone and air quality sensor to simulate a surveillance system.
Google Maps API
for nearby immunization centers feature.
Microsoft Azure
to store the encrypted image embeddings
AWS
for the lambda functions and server/backend services
Digital Ocean
to host the flask backend for the nearby immunization centers retrieval
We store encrypted face embeddings (not face images) in order to comply with HIPAA and other privacy requirements
Relevance in transport
Public transport and vehicles provide an ideal medium for the spread of COVID-19, as there is close contact between people, in a closed area. Our system can be integrated with apps such as FaceDrive or HiRide to verify immunized individuals, and ensure safety of both customers and employees. This system can also be used to regulate social distancing practices such as wearing masks in vehicles.
Business model
This app is targeted towards:
Private Organizations such as FaceDrive, HiRide or Walmart - We will provide Immunipass as a service to such private companies. Our business model cost/benefit analysis is given below:
Cost
Companies will have an initial cost of the hardware (cameras, microphone etc.) required in each shop/vehicle, as well as an ongoing maintenance cost of this hardware for the surveillance system. Along with this, we will charge a small cost of around 10 cents on each transaction in the shop/ each ride in a vehicle, to fund our cloud servers and have a profit margin.
Benefit
Our system will provide an incentive for customers to go to the shop, or use the ride sharing app that uses Immunipass, as they are guaranteed further safety in these ‘immunized’ areas. This incentive will significantly increase with competition between companies to be the safest one. This makes Immunipass profitable for both us, and the company using it. We will also create a branding for ‘Immunipass certified’ so that companies can advertise their safety.
Government authorities - In this case, our system will be funded by the government and mandated by the law in every public area and vehicle.
Challenges we ran into
Our first great challenge was with integrating Auth0 with the expo front-end, due to lack of documentation specifically for expo-built react native apps. However, this problem was resolved by help from our auth0 mentors, as well as Auth0 forums. Our second challenge was in getting the mask detection model light enough to run on a raspberry pi. Thirdly, since some of our teammates had never worked with encryption, performing encryption and hashing of the facial images and embeddings was a challenge. Lastly, integrating the many parts of this complex system and making it work coherently was a challenge in and of itself.
Accomplishments that we're proud of
We are extremely proud to have created a very sophisticated system spanning multiple components, from hardware to a mobile application to a web application, in a short time. We are also proud to have successfully integrated Auth0, considering none of us had prior experience. Thirdly, in addition to creating 3 different clean user interfaces in react js and react native, we are proud to have designed and trained effective machine learning models using limited training data. Lastly, we are proud to have managed to coordinate and complete the hardware (raspberry pi) aspect while working remotely. We would like to highlight that we are extremely proud of designing and creating our system in a way that allows for the widespread adoption of face recognition technology with regards to privacy concerns. This posed a major challenge but we are proud to have found a solution. We don't store any face images on our database or in the cloud. Instead we calculate an embedded vector representation of a face and then encrypt this vector and store it. There is essentially no way to reconstruct a face from the vector, and it is also now encrypted. This allows us to comply with all privacy concerns and expand our system internationally.
What we learned
First and foremost, we learned how to use Auth0 for user authentication with MongoDB in our react native and react js apps. Furthermore, we learned how to use teachable-machine to create effective audio classification models. Given that our team members had limited experience, we learned how to encrypt data for secure storage, specifically facial data and facial embeddings. We also learned how to implement facial recognition, cough detection, and mask detection using python. Lastly, in addition to using Vercel for the first time to deploy our react web application, we learned how to integrate webcams, microphones, and air quality sensors with a raspberry pi, and integrate it into our entire system as a whole.
What's next for ImmuniPass
In the future, we would like to implement a custom user data system, integrating other medical health conditions, and, making use of MongoDB’s key value structure, in order to give custom notifications (for example giving more frequent and sensitive risk notifications to at-risk individuals such as senior citizens and people with respiratory disorders). We would also like to make a more sophisticated system to detect coughs, by estimating the position based on the readings from various microphones placed around the area. We are aware of a logical flaw in our system, that in order for face ID to work, it requires the user to remove their mask briefly to scan their face, which is not favorable. In the future, we would like to explore new and innovative methods of bio metric scanning such as iris scanning and IR imaging.
Built With
amazon-web-services
auth0
azure
digitalocean
expo.io
flask
javascript
keras
mongodb
opencv
python
raspberry-pi
react
react-native
teachable-machine
vercel
Try it out
github.com | ImmuniPass | A Standardised and Digitized Immunization Verification System to make public areas safe, post COVID-19 immunization. | ['Ebtesam Haque', 'Nand Vinchhi', 'Muntaser Syed', 'Veer Gadodia'] | ['Grand Prize - Addressing after effects'] | ['amazon-web-services', 'auth0', 'azure', 'digitalocean', 'expo.io', 'flask', 'javascript', 'keras', 'mongodb', 'opencv', 'python', 'raspberry-pi', 'react', 'react-native', 'teachable-machine', 'vercel'] | 56 |
10,255 | https://devpost.com/software/quick-pass-o934v0 |
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Inspiration
More and more businesses are resuming operations here in the Philippines after being placed on a hard lockdown for 4 months due to COVID-19 pandemic. Establishments are recommencing, public transportations such as trains and buses are back on track, and restaurants are opening their doors to their patrons with social distancing protocols in place. We all think this is the "new normal". However, despite our efforts in maintaining the "new normal" procedures, each and everyone of us are still at risk as we come in contact with people indirectly.
Customers and commuters are required to fill-up a small piece of paper referred to as "contact tracing stubs", which if you don't have a pen with you, you will be borrowing the pen that other people have used to fill the form. Not only is it risky to touch objects that are highly susceptible to spread the virus, but our lives are also at risky every second we are being exposed to prolonged precautionary measures as a result of manual contact tracing.
Many applications have been created amidst this issue of contact tracing, but these applications are not universal as people are not required to install these applications, hence making tracing inaccurate and pointless. What if people doesn't have to fill forms every time they enter a premise? What if these subjects don't have to install a new application for contact tracing? What if self-assessment is as easy as talking to a friend? What if they can get alerts that they had closed contact with a confirmed positive individuals right from the same messaging app they use for connecting to their families and friends? This is where
QuickPass
comes practical, accurate, safe and convenient.
What it does
The HQ Dashboard
- Smallest government units we call "Barangay" being the headquarters of all premises may create an account on our dashboard. They can register the premises within their terrestrial land of jurisdiction that requires monitoring or just send the registration link for these premises to have their own dashboard. HQ can also see all subjects that entered each premise, the age brackets, their statuses(
suspected, confirmed, under monitoring, etc.
), premises they entered and the duration of their stay to the establishment. As results being pass down by the Department of Health, HQ admins can tag confirmed positive subjects then all individuals who have closed contact with the positive person in a premise will be notified by the chatbot and possibly via SMS as well.
The Premise Dashboard
- each premise will be given a registration link by the HQ admins to register a premise dashboard account and generate QR codes for their establishment entrances and exits. The premise can see all individuals that scanned their QR codes and entered the establishment, status of the subjects, the trend of entries, and the prior location of subjects before entering their establishment.
The Chatbot
- the subjects refer to all individuals who are required to fill-up the form before entering a premise. The subjects shall scan the QR Codes on the entrance of the premises they wish to enter. Upon scanning the QR codes, the users will be redirected to their messaging application of choice (
directly Facebook Messenger for now
) and they will be asked by the chatbot to fill-up their information if it is the first time they scan QR codes from the platform(
for every succeeding scans on any premise, the subject doesn't need to fill-up their information again
). If the customer's device is not compatible with reading QR codes, they have an option to search the QuickPass bot name on their messenger and there will be an option to scan QR codes right from the chatbot. The same chatbot will remind the subject to do self-assessment hours after they went outside(
scan premises QR codes
) and their status will be updated depending on their response to the assessment. The HQ admin can make COVID-19 related announcements and the subject will receive those in their messenger.
What’s next for QuickPass
We believe in the impact of all contact tracing solutions to the country and people having messaging applications already on their smart phones is a major factor to the convenience of subjects and accuracy of data. With the support of the government and cooperation of both the citizens and establishments, we want all places to have QuickPass QR codes for everyone’s convenience and safety while supporting the effort of the government to stop the spread of this pandemic.
Built With
dialogflow
facebook-graph
facebook-messenger
microsoftbotframework
qr
react
serverless
Try it out
quick-pass.co
drive.google.com | Quick Pass | Paperless contact tracing and chatbot for updates, self-assessment, guidelines and recommended actions regarding the COVID 19 pandemic. | ['Mac Chicano', 'Bench Cosme', 'lanzosuarez Suarez', 'Rose Ann Gabriel'] | [] | ['dialogflow', 'facebook-graph', 'facebook-messenger', 'microsoftbotframework', 'qr', 'react', 'serverless'] | 57 |
10,255 | https://devpost.com/software/aid-on-demand-aidod | Introduction page
Explore page where all the requests can be found in this page
Users can then respond to the request
Users are encouraged to chat and discuss the logistics of the tasks.
Users are encouraged to chat and discuss the logistics of the tasks.
Inspiration
Due to the COVID-19 pandemic, a lot of people are stuck at home and some have unfortunately lost their jobs. During this period, I noticed a lot of people, especially those at risk, started asking for help on websites like Facebook or Nextdoor. At the same time, there are also parents/teachers/healthcare workers who are overwhelmed with the situation where a helping hand will be much appreciated.
In this difficult time. people are in need for an organized space where they can ask for and/or offer help. In the meantime, those who lost their jobs or get a pay cut and need the extra income are eager to be a part of the gig economy. This is what inspires this app, a platform to connect people who need helps and those who can help (and earn extra bucks at the same time). This solution applies largely to the 'Delivery' sector; more specifically, it delivers 'help'/services to those who need it.
What it does
The idea is simple: this app provides the platform for those who need help to post the specific kind of help they need. The task can range from ‘I need someone to help drop off some boxes in the post office’, to, ‘I am a healthcare worker and I need someone to pick up groceries for me’.
Specifically, this app allows:
the users to take a picture of the task and describe the details of the task with the corresponding compensation for the helper.
the posted request to appear on the home page with a clear title, a brief description of the task and the offer for the helper. They can also indicate the expiry date/time of the request since some of the tasks are time sensitive.
the helpers to respond to the quest through direct messages.
How I built it
I used Figma to prototype; the prototype illustrates the general concept and the design of the app.
Challenges I ran into
Time management. Juggling to learn app-design and video-making outside of work certainly requires good time management. Due to time constraint, I am focusing on building an app-prototype at the moment.
Accomplishments that I'm proud of
The process of bringing the ideas in mind into something I can visualize on my screen.
What I learned
This is my first time designing an app. The process itself (from the concept to the prototype) has been very rewarding.
What's next for Aid On-Demand (AidOD)
I would like to include gamification, a leaderboard system that allows others to earn points when completing tasks and share their ‘achievements’, to encourage more people to participate. This is just a prototype at the moment and I would like to eventually implement the design using React or other app-design software.
Built With
figma
Try it out
www.figma.com | Aid On-Demand (AidOD) | A platform to connect those who need help and those who can help. | [] | [] | ['figma'] | 58 |
10,255 | https://devpost.com/software/clean-water-detector-app-that-detects-cleanness-of-water | Instruction Screen
Home Screen
SINCE THE MODEL IS UNDER 1ST PHASE OF DEVELOPMENT PLEASE USE A WHITE SURFACE FOR KEEPING THE GLASS/BOTTLE SO THAT THE MODEL CAN PREDICT ACCURATE RESULTS
DOWNLOAD SAMPLE IMAGES FROM THIS LINK
link
DOWNLOAD APP FROM LINK AT BOTTOM
Inspiration
Dirty water is dangerous
In
Africa
, more than
315,000 children
die every year from diarrhoeal diseases caused by unsafe water and poor sanitation. Globally, deaths from diarrhoea caused by unclean drinking water are estimated at 502,000 each year, most of them of young children.
Every year
575,000 people
die from water related diseases. This is equivalent to a jumbo jet crashing every hour. Most of these people are children (2.2 million).
Unclean water and poor sanitation have claimed more lives over the past 100 years than any other cause. The water-crisis claims more lives through disease than any war through guns.
844 million
people lack access to safe drinking water. This is more than the combined populations of the United States, Brazil, Japan, Germany, France and Italy.
What it does
It basically calculates the cleanliness of the water with the help of its machine learning model that I made, It than shows the results indicating how clean or dirty the water is.
The Covid-19 Detector is a complementary thing that I added just to show the power and usefulness of AI. It is currently in the beta version.
How I built it
I built it using Flutter, with flutter I have the capability to create both iOS and Android apps at the same time hence making the availability vase. At the back-end I used Tensorflow lite, to give my app the capability to use machine learning models in offline modes. Model is made using Trainable Machine powered by google cloud.
Challenges I ran into
Being a solo developer I ran through many Challenges but I succeeded on my goals and I am happy to deliver this prototype on time.
Accomplishments that I'm proud of
I am really happy to contribute this project of mine for the entire people of the world so that they can have access to clean drinking water
What I learned
I learned a lot through out making this app as it was a really challenging task
What's next for Clean Water/Covid-19 Detector App
If everything is going good with this app I would really like to release this app to the entire population, but before that I would have to give some more minor improvements to this app.
Built With
flutter
google-cloud
tensorflow
Try it out
drive.google.com | Clean Water/Covid-19 Detector App : iOS/Android compatible | Powered by Tensorflow lite model made using google cloud Teachable machine, Can detect the % of cleanness and dirtiness of water by just an image from your phone(even without Internet)!! | ['Udipta Koushik Das'] | [] | ['flutter', 'google-cloud', 'tensorflow'] | 59 |
10,255 | https://devpost.com/software/caretilt-community-orientated-public-listing-platform | Inspiration
The CoViD-19 pandemic has caused disarray in the distribution of supplies and resources, I pictured how third-world countries would be affected, I then immediately got to work on creating a plan and framework for a public listing platform, where if someone is need of supplies they can submit a listing publicly, that listing if unfulfilled by any users, will be forwarded to an Open Source Medical Supply community or anyone can publicly list their supplies or organization
The idea is to close the gap on the distribution of resources and supplies between those who need them and those wiling to donate their supplies.
Caretilt is currently launched in the US, I'm working on branching out to third-world countries, right now I'm in contact with some officials in Kenya and will work on getting Caretilt in the right hands.
What it does
Once a listing is submitted it is publicly available to users and non-users, non-users can contact the listing creator through a submission form on the listing page. Users can communicate safely on site via an AJAX messaging system as well. There is also a review system where users can leave feedback, it also as a rating system, to take some moderating off of every interaction. If a user suspects that something is wrong they are free to report a listing or user via a report abuse button.
Anyone can signup using their social media account with a SSO(Single Sign-On) or by filling a registration form, it is not mandatory to provide personal details.
There are two main categories: 'Donate' and 'Request' with their respective sub-categories being Medical Supplies & Personal Protective Equipment, users can select whether they'd like to list their supplies publicly or request supplies. There is also a third category for Urgent Requests which is handled according to the urgency of the listing contents.
How I built it
Caretilt is built on Wordpress using a directory theme, it's converted into a public listing platform with an AJAX messaging system and user system.
There's still quite a bit to be worked on the site but everything is fully-functional and I will be searching for a small team to work together with.
Caretilt is also fully-functional on a mobile device, the initial plan to create a mobile app alongside this submission was scrapped and will be worked on at a later time.
Challenges I ran into
Organizing the distribution of resources and supplies on any scale is an immense amount of work, I've learned that so far the community is essential and creating the platform is only half the battle.
Accomplishments that I'm proud of
A rapid-deployment of a public listing platform that is fully functional, I'm proud that it is now fully functional and ready to use.
Also prior to launching Caretilt, I got in contact with the Open Source Medical Supplies community and was invited to list Caretilt on their roster.
Amassing support from the PPE community
Many volunteers across around the world are contributing to the CoViD-19 relief efforts by mass printing personal protective equipment mainly for medical personnel, the ongoing efforts are impressive with over
10M+ items
produced and counting. The objective is to make the process of distribution quick and easy to anyone that needs these supplies, from household families that require PPE on a daily basis to workers on the front-line, but currently the scope is shifting to hospitals, first-responders, caretakers and medical personnel.
What I learned
Communities all around the world are working together to get this problem solved, the amount of groups and collaboration efforts I've witnessed has inspired me greatly, it's good to know that in a time of chaos people will collectively band together to find a solution.
Food Distribution
Incorporating food distribution into Caretilt can be done categorically as well, it is something that I have spent some time reaching during inception of the platform, but a food distribution scheme will integrate more smoothly into a mobile application accompanying the website.
What's next for Caretilt - Community Orientated Public Listing Platform
Caretilt will not only be used as a CoViD-19 resource & supply platform, but will be available for all urgent use in any scenario similar to the one that we're facing. It isn't just limited to this pandemic alone, but will be viable for as long as possible.
I currently am working on this by myself, with one person that is assisting me with social media presence, I would like to collaborate and grow a team in order to get things rolling.
Built With
ajax
css
html
javascript
php
sql
wordpress
Try it out
www.caretilt.com | Caretilt - Community Orientated Public Listing Platform | Caretilt is a public listing platform that is designed to close the gap on the distribution of supplies by connecting people who need supplies with those willing to donate them. | ['Suleiman Adam Belrhiti'] | [] | ['ajax', 'css', 'html', 'javascript', 'php', 'sql', 'wordpress'] | 60 |
10,255 | https://devpost.com/software/multi-store-e-commerce-for-business-with-delivery | Inspiration
During this hard time where the world is been affected by the covid-19. Many business went out of the market, because of the fact, they couldn't normally operate due to the pandemic and the social distancing.
So to Limit the contact between costumer and business, we create this tools to serve as a way for business to serve their consumer in a unique and protected way.
What it does
This is a Multi Store E-commerce project for small business and entrepreneur, where each business have their own store, can manage their own stock, generate report, make sales and more.
It also offer delivery Option with the ability to request for become deliver or open to store.
How I built it
I have built it using Php and Laravel on the backend, Vue js and JavaScript on the front-end.
I also use Pusher for the real time notifications part.
Challenges I ran into
Trying to develop a complete online marketplace with 4 dashboard and a complete system for sale and delivery in less than 2 months.
Accomplishments that I'm proud of
Able to develop a version demo that work perfectly and that i can present.
What I learned
I learn new concept around product architecture, database design and how to develop a web application that can be easily maintained.
What's next for Multi Store E-commerce for business with Delivery
Expand with new idea, integrate user behaviour and machine learning among sale, product recommendation, and many more functionality.
Built With
javascript
laravel
php
vue
Try it out
m-initiative.com | Multi-Store for business with Delivery | Multi-store E-commerce for business with Delivery and multiple control Panel. | ['Nelh amstrong'] | [] | ['javascript', 'laravel', 'php', 'vue'] | 61 |
10,255 | https://devpost.com/software/guardian-health-ruiajs | Searching for medical guardians on our platform
Choosing appointment type and time
Health professionals can accept or reject appointment requests
Can see a list of all appointments
Inside a patients' appointment with digital notes and prescriptions
Virtual appointments on the platform with access to digital notes and prescriptions.
Health professionals calendars
Health professionals dashboard
Customize availability in health professional app.
Cesarean risk predictions
Fetal abnormality predictions
Maternal health dashboard
Interact with the bot, start the booking process
Booking of appointment in progress
Appointment booked sucessfully
Ask the bot general questions in natural language
Inspiration
While doing her masters research in data science focusing on health issues, Tsitsi found out that doctors are usually able to tell whether or not a fetus might have an abnormality only after the second scan which happens after 22 weeks. It is at this point that an expecting mother gets options including termination in certain cases. This can be very emotionally exhausting and also leaves less room to mitigate risk. This realisation coupled with Tino's dream to go back to medical school and his passion for medicine gave birth to Guardian Health. With the both us well versed in technology and passionate about health, we started on our journey to transform the health system for the better with solutions that benefit every citizen regardless of social status.
The first thing that we did is we built a system that can help health professionals with the early detection of fetal abnormalities and gives the risk of an expecting mother to get a caesarean. Our solution looked great, however we realized that having such a solution without solving some of the problems the health sector is facing might make the adoption a little difficult.
We then proceeded to build a platform that allows patients to book appointments with health care providers. The appointments can be in-clinic, after hours or virtual. Virtual appointments can be conducted via the Guardian Health platform with access to digital notes and digital prescriptions that can be ordered for delivery via the platform. Digital filing and digital prescriptions are also available for in-clinic appointments. These are very important as they allow patient history to be easily transferred and easily accessible thus improving provided health care. The maternal health detections can be used to also refer patients to hospital when their risk is high.
What it does
Our solution is a system that connects patients and health professionals. It also allows for early detection of maternal health issues.
Patients are able to book appointments.
Appointments can be in-clinic, after hours or virtual appointments.
Virtual appointments are performed on the Guardian Health platform.
The platform also provides digital notes making it easy to transfer patient history when patients are referred to a different health care provider improving quality of health care.
The digital prescriptions offering allows patients to order and receive prescriptions from the comfort of their homes.
The platform also allows patients to pay for appointments using credit cards on the platform.
Patient risk factors such as high risk of getting a caesarean section are used to refer them to a hospital.
Early detection of fetal abnormalities is performed also allowing for the referral of high risk patients to hospital.
The management allows facility admins or receptionists to manage multiple doctors by onboarding patients, health professionals, handle billing, appointments and all other management tasks.
How we built it
We built a web app for the patient side.
We also built a web app for the health professional side.
We used machine learning algorithms for the predictions of caesarean risks and fetal abnormalities.
Challenges we ran into
Unfortunately we were not able to finish our billing functionality as it relied on things outside our control.
Accomplishments that we're proud of
Ability to bring together optimisation methods, natural language processing, analytics and AI into our solution.
Coming up with a solution that is relevant to society and can make a much needed difference.
What we learned
Through research, we learnt how vulnerable the health sector is and how much of a difference solutions that can make it more efficient would make.
What's next for Guardian Health
Actively developing Guardian Health to launch into the private sector and onboarding health professionals and users onto the platform.
Partnering with relevant stakeholders such as pharmacies and medical aids/health insurance to ensure success for our platform.
Built With
dart
flutter
javascript
python
react
typescript
Try it out
guardian-health-gk7dnsmexq-ew.a.run.app | Guardian Health | A system that connects various aspects of the health sector, providing services such as virtual appointments, digital filing, digital prescriptions, maternal health predictions and much more. | ['Tsitsi Marote', 'Tino Manhema'] | [] | ['dart', 'flutter', 'javascript', 'python', 'react', 'typescript'] | 62 |
10,255 | https://devpost.com/software/immunize | Home page
User profile details
Analytics dashboard for the admin
Dashboard listing out all the centers on the map
Page to book an appointment for the vaccine, the vaccine centers are mapped on the map
Inspiration
Most of the countries were unprepared to face the Covid-19 pandemic and were not successful in controlling the infection rate. However, given that the vaccine for Covid-19 would be discovered soon, we must have a system in place which will not only distribute the vaccine to the mass population, but will also capture data and churn out patterns to generate insights. This could also be preserved as a learning for the future generation.
What it does
Since a large scale population is affected by the Covid-19 virus, most of the people would want the vaccine as soon as possible. However, there might be a set of people like children, old people, essential service workers and people with life-threatening diseases who will need the vaccine more than the healthy adults. So it is essential that the right people get that dose of vaccine at the right time. The Immunize platform scores an individual based on these parameters and assigns a priority to an individual.
Also, since there would be a limited staff to disburse the vaccines and a high demand, it is extremely important to streamline this process.
How I built it
An user booking an appointment for receiving the vaccine will login/signup which will happen via Auth0. Once a user logs in, he will be able to view all the vaccine centers near his vicinity on a Map. Each vaccine center will also have information related to the number of stocks of vaccine available and the total appointments. A calendar which will also show the day-by-day summary of the vaccine stocks and requests is also available. This will give the user an idea of the waiting queue. Accordingly a user can book a slot on the particular day. However, a user should keep in mind that his turn might get postponed as high priority patients who require vaccine urgently will come in the picture.
An admin will have the dashboard with all analytics and tracking tools. He can check the total requests/stock of vaccines/ total vaccines disbursed from the dashboard. Apart from that a user can enter address of a new vaccine center, and that address will be geo-coded and then displayed on the map.
Challenges I ran into
Plotting the vaccine centers on the map was a bit challenging.
Accomplishments that I'm proud of
The platform also has a feature where it prompts a user for submitting scanned copy of identity proof, so that these users can be given a higher priority. Using a optical character recognition engine to extract the name/date of birth/ Id from the scanned image, is something I implemented for the first time.
What I learned
I learnt how to create a minimum viable product in 2 days. Prioritizing which features to add and time management are the important skills I learnt.
What's next for Immunize
The Immunize app idea should be used by everyone to build a robust system for efficient delivery of the life saving vaccine. I would want to implement more data analytics around this, and also build a demand-supply evaluator, wherein if a highly populated area is falling short for vaccines, the supply from vaccine centers who have extra stock will be redirected. I will also implement a payment option, if at all the vaccine cost would be higher. A channel where people can post about the side effects they have encountered if any, would also be a good-to-have feature.
Built With
auth0
flask
leaflet.js
mongodb
node.js
python
react
rechart
tesseract
Try it out
github.com | Immunize | Platform for efficient distribution and tracking of the Covid-19 vaccine | ['Sharayu Thombre', 'Jui T'] | ['Third Place - Addressing after effects'] | ['auth0', 'flask', 'leaflet.js', 'mongodb', 'node.js', 'python', 'react', 'rechart', 'tesseract'] | 63 |
10,255 | https://devpost.com/software/seway | Flowchart of working model of the app
Inspiration
In the present situation of COVID-19 pandemic it has become a very difficult task for the officials to keep track of the people in quarantine and to get the latest updates about their health and other information from time-to-time. And, also it is difficult to track the movements ,whereabouts of the person and might be infecting other people around him.In this lockdown period, officials are facing difficulties in going from door to door and collect all the required information and health updates from the people in quarantine.
Therefore, in order to overcome these problems with the help of latest technologies,our team has created a platform to help the officials to gather all the required information and to keep track of the people just by sitting in their offices or from any remote place without going door to door and also prevent them from becoming a victim of this disaster.
Our team has made enormous effort in creating the platform that yields sufficiently accurate results in order to keep track of the people and keep them informed about the latest updates from the government bodies in this pandemic situation.
Everyone is facing this major problem of finding beds for Covid-19 treatment because the spread of the virus has created havoc so our platform helps one to find vacant beds.
One of the reasons for such a large spread of the virus is lack of knowledge of things like its symptoms, precautionary measures etc, so an attempt is made to bring awareness among everyone through multilingual Chatbot.
What it does
So the solution we developed consists of a app and an website in order to establish connection between the officials and the public. Major features of the applications are listed below:-
1)Restricting the controlling area to a particular radius in order to keep track of each and every person and decreasing the overflow of data.This also helps in segregation of data.
2)Getting the real time location of the people to track their movements.
3)Providing a high level of security for the mobile application by fingerprint sensor to prevent fake status updation.
4)Preventing faking of data by asking them to upload their real time selfie while updating their status in the regular interval of time
5)An SOS button in the mobile application to contact the central control in case of emergency just by a single click.
6)Showing the quarantines are in their houses or not during the period of quarantine to the officials by ‘safe’ or ‘alert’ notification on the website.
7)An alert message on the website if status is not updated continuously for a longer period of time which will increase the efficiency of tracking quarantined people which will in turn help the officials in tracking them perfectly.
8)Latest updates about the covid-19 spread in the country with the help of graphs and tabulated data which shows the number of infected,cured and deaths.
9)List of all the important contact details along with their location. Important contact details include police station numbers and their address, state and central Covid-19 numbers, details of hospitals that are treating Covid-19 patients.
10)The officials will have all data of the users list inside their area to take any necessary action on them.
11)They will have all the status updates of the users so that they can verify about their status.
12)With every status user's location will be updated so that the police can track them.
13)The police department will have access to the history of users updated status for future reference if required
14)The user will be able to use the Multilingual Chatbot which can be used in any of the languages English,Kannada,Tamil,Malayalam,Telugu,Hindi to enquire about topics such as Symptoms of the disease,Modes of disease spread,Precautions to be taken,Cures,About Covid-19.
15)The user can view the live count of Beds in each hospital which treats Covid-19 patients.
The end users for our platform are the common public ,mainly the government officials who are working on the FRONTLINE especially the police department or the healthcare department for keeping track of the people during the lockdown.
How we built it
The application created by our team is a combination web and mobile application which is very light and simple to use.Following is the list of packages and external dependencies used in the mobile application:-
1.Cloud_firestore
2.Firebase_auth
3.Geolocator
4.Firebase_storage
5.Http
6.Charts_flutter
7.Uuid
8.Provider
9.Shared_preferences
10.Cahced_network_image
11.flutter_phoneix
12.local_auth
13.Latlng
14.Latlong
15.Camera
16.Image_picker
17.flutter_spinkit
18.url_launcher
The following are the services used:
1.Firebase authentication for OTP verification.
2.Firebase cloud firestore.
3.Firebase cloud storage.
The following is the database used:
1.NoSQL database for storing and retrieving data of users and their status.
2.Hosted in a firebase cloud firestore.
The web application is built using Nodejs as backend language, Express as the server and Firebase Cloud store as database.
The website is then hosted on Heroku.
The list of node packages used are:
1.Express
2.Firebase-admin
3.Bcrypt
4.Nodemon
5.Body-parser
6.Ejs
7.Express-sessions
8.Bcryptjs
9.Request
10.Geopoint
11.Request
The following are the services used:
1.Firebase Cloud Storage
2.Geo Locator for finding latitude and longitude.
3.Covid19.org/summary as api as to get the data on covid19 cases in india
The Chatbot is built as follows:
1.Flask - framework used to built the API
2.Nltk,Tensorflow - frameworks used for Machine Learning purpose
3.Redis, Mango - Database used
4.Vitalets - Google translator API used for translation
The API is hosted in Heroku.
The Bed tracker is built as follows:
API is built using PARSEHUB and it is hosted on its server.
The API is built using web Scrapping technique.
Challenges we ran into
There were many challenges we ran into, first of we wanted to make sure what are the exact problems faced by the public as well as the officials to get wider exposure to the problem that we were trying to solve.Initially because of the lockdown period our team was not able to reach out officials and public and physical meeting was impossible so it was really challenging for us to contact people. But slowly we contacted few people and understood what are the problems in this field and then after a series of researching we started working on our solution.
Another challenge was while developing the solution , most of the concepts we were using to build our applications were pretty new and there were no proper documentations for some of the features we were trying to implement so we had run through many trial and error method to get the exact feature we wanted into our applications.
Accomplishments that we're proud of
Our team has made this platform by taking into consideration that it helps each and everyone who are fighting against this pandemic. The key issue for such enormous growth in the graph of this pandemic is lack of awareness and level of the danger of the COVID-19 pandemic, so our platform helps people to be aware of the current situation, the country is facing now.It helps people in understanding the importance of quarantine. It also helps the officials who are fighting on the FRONTLINE to track the quarantined people and stop the spread of this pandemic. It especially helps the departments(such as the police department,healthcare) who are fighting against this pandemic to keep us safe. It makes their work easier and reduces the level of threat to the officials. It also helps the quarantined people to establish contact with the officials, in case they are facing any emergency situation. It has an impact on every living being ,from a small baby to grown old aged people. It is very helpful to old aged people because they will be monitored digitally which prevents the spread of virus and saves their lives.
What we learned
First of all we learnt many new things while working on solution and also most importantly understood how to contact various people inorder to understand what are the problems they are actually facing in day to day lives.
And also we learnt how to collaborate and work together as a team and by dividing all the works equally we can accomplish the goal very easily and quickly.
What's next for SeWay
Currently the solution we developed is to help the society in this pandemic but we have plans of generalizing our solution which might be particular to covid-19 only right now and used for monitoring and tracking of other serious medical conditions. This application can also be used to build one to one connection between a doctor and patients and also we have few ideas regarding building a business model in case we generalize this application in order to get revenue and make it as a stand alone product or a startup. The revenue model can in the form of subscription based model or also we can contact hospitals and as the doctors to use this application to establish communication with their patients for regular updates and may be online consultancies and the patient can charged a minimum amount by the doctor and later paid to us for generating revenue. The will help even to maintain social distancing because so distancing will become an essential aspect of lives post covid too so the current model for this covid-19 purpose can be generalized and used in the healthcare sector very easily and efficiently.
(NOTICE!!!:- The mobile application is currently working only with Indian phone numbers only inorder to authenticate and login into the app and also the app will only work on the devices having inbuild fingerprint sensors for security purposes).
And also the link for our website was showing error in link section so the link will be given here:-
https://covid-policeweb.herokuapp.com/
Thank you.
Team Warriors(SeWay).
Built With
firebase
flask
flutter
node.js
python
tensorflow
Try it out
drive.google.com
docs.google.com | SeWay | An application which establishes connection between the common public and frontline warriors to make life simple and easier with help of latest technology. | ['Sumith S B', 'Sai Pranav', 'Subodh rane', 'Shrirama A S'] | [] | ['firebase', 'flask', 'flutter', 'node.js', 'python', 'tensorflow'] | 64 |
10,255 | https://devpost.com/software/passengercovidscan-ai | Function of web-app
scanning passenger ID
Scan ID information
Application Demo
covid-19 Effect
Current cases
camera_installation
Demo of web-app
While you are using our application for demo please use Firefox, web-app because it does not support in chrome since chrome do not allow web-cam access.
Inspiration
what will be the situation of the people if they are not allowed to travel around the city or across the world due to COVID-19 for the long time ? what will be the safest way to travel around the city or world? How can we automated the process through AI? How can our solution helps at this time and COVID-19 pandemic is over?
To get the solution of these question, we did some research to identify the challenges to developed the best solution.
Covid-19 Pandemic:
fig: covid-19 in the world
As we see from the map, COVID-19 is now world epidemic problem. Novel corona virus has killed 775 893 people and infected over 21 989 366 people around the world wide during preparing this report. This number is growing everyday.
fig:Data according to WHO(2020 Aug-10)
The main problems occurs in the transportation during the pandemic are:
1. Contamination :
As you may see on the news, corona virus outbreak is possible through public vehicles mostly. People are using the public vehicles without social distance and they are not using any safety equipment. Therefore to reduce contamination our application checks the safety measure.
2. Mask and Glove Safety Check :
Gloves, protect the hands, gowns or aprons protect the skin and/or clothing, masks and respirators protect the mouth and nose, goggles protect the eyes, and face shields protect the entire face. Our system aware to use mask and gloves if they do not follow people are not allowed to enter into vehicles.
3. Contact Tracing :
During this pandemic contact tracing is very important in order to find the contaminate people through public vehicles but after this system implementation it is much more easier to trace using their ID information, scan before enter into vehicles.
4. Security in Public Vehicles :
In other time also security is one measure issue inside the public vehicles and difficult to trace the criminal however this application greatly reduce it because Personal ID is necessary to use public vehicles whose ID information are store in the database that makes tracing faster and easier.
What it does
Using the power of pre-trained machine learning models from open source,
PasssengerCOVIDscan-AI
is created as a full-scaled AI tool for Transportation. It can automate the process of security ,mask and gloves safety check for passenger.This tool of cutting edge technology can be used to reduce criminal activities and speed up tracing time for police in this critical time of the COVID-19 pandemic.
The
PasssengerCOVIDscan-AI
web-app includes 3 main AI components:
1. Passenger ID Scanner:
For the safety purpose, only passenger with their Personal ID is allowed to enter into public vehicles. Hence, the web-app will use pre-trained data to scan the people ID and grant them access to the vehicle.
Fig: ID card Scanning
Fig: Scan Data information in the form of E-mail
2. Mask and Glove Safety Check:
Especially during this COVID-19 ourbreak, the web-app will ask the passenger whether the passenger is used mask and glove or not and have ID too. If yes, then the web-app use AWS pre-trained data to check the safety measures of the people to minimize any exposures to the disease. If the passenger passed all the secured check and safety, he/she can travel by vehicles.
Fig:Demo of mask scanning
How we built it
Passenger ID Scanner: We developed this feature using the open-source python library Pyzbar. We have written the script in the JQuery which sends the snapshots from the live camera feed to the inference model at the back-end. It can read one-dimensional barcodes and QR codes present on the passenger ID badge. We implemented this feature to work with a snapshot of passenger ID . Link:
https://pypi.org/project/pyzbar/
2.Mask and Glove Safety Check: We developed this feature using the open-source TensorFlow model for face mask detection. The backbone network only has 8 Convulation layers and the total model has only 24 layers with the location and classification layers counted. We have written the script in the JQuery which sends the snapshots from the live camera feed to the inference model at the backend. It works with live footage from any sort of cameras and detects people not wearing a face mask and glove. Link:
https://github.com/AIZOOTech/FaceMaskDetection
Technical Requirements:
The packages required for this project are as follows:
Python
Django
Numpy
Matplotlib
Scipy
PIL
Tensorflow
Challenges we ran into
This is the first time we all were working with such project and creating endpoints of the pre-trained TensorFlow model. we had a little problem of focus with certain cameras so we had to experiment with several webcams that we had available to find one that didn't require to focus.Due to poor web-cam it probably lack of resolution.
Accomplishments that we're proud of
We manage to finish the project in such a limited time of week in our free time from work. We still keep striving to submit on time while learning and developing at the same time. We are really satisfied and proud of our final product for the hackathon.
What we learned
Through this project, we learn to implement a complicated image-recognition deep learning models. We also learn the deploying the models in web-app. This project can’t be done without the efforts and collaboration from a team with such diverse backgrounds in technical skills.
What's next for PassengerCOVIDscan.AI
1) In coming days we would like to implement this ides if we get fund from the interested companies.
2) We will partner with research team of that company in order to collect the data.
3) We also plan to use
Thermal Detector
in the door of public vehicles to measure the temperature of the passenger if any unusual, alert is given to the near police station.
4) After the end of corona virus software is implement to reduce crime, harassment etc. in public vehicles i.e support police activities.
Built With
django
matplotlib
numpy
pil
python
Try it out
github.com | PassengerCOVIDscan.AI | PassengerCOVIDscan is developed to scan the safety of any passengers with a secured AI platform.If any passenger is the victim of COVID-19 it helps in rapid contact tracing. | ['pradip Pandit', 'AMRIT012'] | [] | ['django', 'matplotlib', 'numpy', 'pil', 'python'] | 65 |
10,255 | https://devpost.com/software/healthbot-3x6olm | Inspiration
During this COVID-19 pandemic as lot of healthcare efforts have been put towards fighting the pandemic, there was this gap between healthcare industry as hospitals were binge converted into quarantine centers. we noticed that the other treatments were not given importance doctors weren't even considering onsite counselling for regular patients, even if they wanted to due to guidelines issued by Governments. (These situations are based on observations in different cities in India) So we thought every issue should not be ignored some can be cured by just suggesting exercises, medications, diets, etc..
And considered searching solutions for them and came across chat-bots used in different industries & wanted to utilize its features to solve problem at hand.
What it does
CAREE is a chat-bot that converses with patients as well as physicians and assures timely assistance for them making lives simpler and provides them with every knowledge they need to know to make decisions.
CAREE can perform a lot of different tasks:
example:
1)Daily call or message the patient and ask about their issues after surgery.
2)Remind patients to follow their diets and ask for feedback so the physician can improve their diet specific to their needs.
3)Constant feedback loop for the betterment of patients.
Built With
dart
flutter
googlefitapi
javascript
numpy
python
sklearn
tensorflow
watchkit | CAREE - Caretaker For Everyone Everywhere | A Chat-bot that eases conversation between physicians and his/her patients, also provides assistance with determining possible danger to the patients with processing symptoms displayed by them. | ['Shrihari Hingole', 'CHATURVED DEGLOORKAR'] | [] | ['dart', 'flutter', 'googlefitapi', 'javascript', 'numpy', 'python', 'sklearn', 'tensorflow', 'watchkit'] | 66 |
10,255 | https://devpost.com/software/medicom | Doctor's Panel
Fake News Detector
Video Appointments
Anonymous Mental Health Consultation
Doctor's Login
Inspiration
Due the rise of corona virus the healthcare sector seems to face a scarcity in the reach of doctors. This inspired us to create Medicom so that patients could get in contact with medical aid remotely and easily. Also, it prevents people getting from influenced from any kind of fake news on the internet, harming themselves more than the diseases.
What it does
Medicom has the following features :
Patient-Doctor Community
One-to-One video appointments
Fake News Detector and Original News Source Gatherer
Anonymous Mental Health Consultation
How we built it
We build it upon android systems so as to expand it's reach. We used Firebase as the backend of this project due to simplicity and flexibility of the API. We used the power of neural networks for fake news detection and Vidyo.io for Video conference.
What challenges we faced
It took a lot of careful study and time to implement the video conference api as well as to tweak the fake news detector model.
What's next for Medicom
Some of the future features of Medicom would be as follows :
Expand the app to other systems like web.
Add an online medicine purchase and prescription store.
Fix in person appointments for doctors and patients.
Medical Emergency signal.
Built With
android
firebase
java
tensorflow
Try it out
github.com | Medicom | An app to maximize the reach of doctors. | ['Chinmoy Chakraborty', 'Vishwaas Saxena'] | [] | ['android', 'firebase', 'java', 'tensorflow'] | 67 |
10,255 | https://devpost.com/software/jedi-force-arduino-gesture-control-relay-module | final build
Inspiration
As a fan to Star Wars, I loved how the jedi the used the force to levitate objects, mind tricks etc, and I would love to switch on the lamp at my home via gesture almost similar with Star Wars
What it does
Turn on or off your switch via gesture using PAJ7620 module
How I built it
I found PAJ7620 in online store, the based on the datasheet said this module can recognized the gesture from swipe left or right, up and down, forward and backward. Combine it with Maker UNO is another compatible Arduino UNO board made in Malaysia
Challenges I ran into
Library compatibility and sometime the gesture are not registered.
Accomplishments that I'm proud of
Able to finish the prototype to turn on and off the led via gesture control
What I learned
There are some cool hardware can be found in online store and can be done a cool stuff to make in your arduino project
What's next for Jedi Force Arduino - Gesture Control Relay Module
Improve input gesture to register for the arduino board.
Apply to
Built With
arduino
led
paj7620
relay
Try it out
github.com | Jedi Force Arduino - Gesture Control Relay Module | Control your switch with gesture sensor PAJ7620 | ['Amir Hamzah'] | [] | ['arduino', 'led', 'paj7620', 'relay'] | 68 |
10,255 | https://devpost.com/software/food-bro | A banner for the project
Inspiration
A lots of inspiration .
What it does
It takes food orders on my page .
How I built it
I built it using chat_fuel through connecting it with my page .
Challenges I ran into
I didn't knew about these .
Accomplishments that I'm proud of
proud of accomplished .
What I learned
A lot of things .
What's next for Food Bro
I am gonna make it better .
Built With
chatfuel
facebook
messenger
Try it out
m.me | Food Bro | Food delivery Bots | [] | [] | ['chatfuel', 'facebook', 'messenger'] | 69 |
10,255 | https://devpost.com/software/covis-3q2k9w | CoviS
Inspiration
During this moment of deconfinement I was taking a train, I was able to observe in public places that people find it difficult to respect social distancing. That inspired me to create a system that not only helps to respect social distancing but also to allow the population to have their health status in real time.
What it does
The CoviS system will consist of a smart bracelet connected to a web platform. This platform will then be connected to the medical systems of several hospitals.
This bracelet will be composed of several sensors designed to analyze the distance between two people, if the distance is not respected, a vibration will be made to warn the user. Then this bracelet will have sensors to analyze the variation of the user's body temperature in real time as well as his heart rate and other symptoms. All the data will be sent in real time to the server of the platform and to the user's private doctor, who can choose what to recommend based on the data received. It should be noted that thanks to the artificial intelligence used in the system, the doctor will first have a first diagnosis of the patient's state of health.
It will be possible for a user to consult in real time his results and statistics on a computer thanks to our web interface.
CoviS wants to be closer to people to help them not only to respect social distance but also to have real time health assistance that allows them to know their health status.
How I built it
As part of the development of this system, we are at the MVP stage.
To build the web platform, we used HTML, CSS, javascript and we will use javascript libraries dedicated to artificial intelligence for data processing.
We will have to create an API to connect our system to the system of a hospital for example.
The bracelet is already available and we will work on the advanced features.
Challenges I ran into
The first challenge I faced was to convince my colleagues to join me in this idea. Eventually I was able to show them the advantages that such a system could have in the management of pandemics such as Covid-19 as well as on the well being of the people in a community.
Accomplishments that I'm proud of
I am already proud to give life to this idea which will have many positive repercussions on people's lives.
I think what I will be most proud of is seeing this system help the Canadian community as well as other communities as well.
What I learned
The most important thing that I retain is that there are no failures, they are just opportunities to start again in order to reach the goal.
What's next for CoviS
The next step for CoviS is to meet other key partners and have the necessary funding to finalize our prototype in order to quickly put in the next six (6) months, a more complete trial version.
Built With
ai
css
html5
javascript
machine-learning
node.js
Try it out
bit.ly | CoviS | CoviS is a connected system which allows you to respect social distancing and which allows you to know the state of your health in real time. | ['Joseph R. Dayana', 'Edrice Louis'] | [] | ['ai', 'css', 'html5', 'javascript', 'machine-learning', 'node.js'] | 70 |
10,255 | https://devpost.com/software/here-as-here | CleanBox+
Model
Inside
Inspiration
We were inspired to create this project by the desire to help people stay protected and not limit themselves in shopping. This project will solve the problem of distancing, healthcare, transport and goods delivery
The issue of distancing, it is necessary to create a set of actions to slow the spread of infections, based on the reduction of close contact with people. Humanity is under the threat of epidemics and various viral attacks, it is important for us to maintain the availability and safety of delivery of various goods. For many people, the most important thing is that they want to preserve for this purpose it is necessary to preserve and show the buyer what is missing in his grocery basket to help stay healthy for many years of life.
What it does
Part1
We created Cleanbox to clean viruses from things, which is controlled from a web application. Our system consists of a box equipped with a UV lamp, microcontroller, and a lock. With the help of that box, people will sterilize the goods without fear of viruses brought into the house.
Part2
The other facet of our solution is a Myhealth for users who wonders about their healthy diet. Users can upload a shop receipt. We will show them the miss items in their shopping receipt and give the recommendations of the grocery. This recommendation is based on predictive NLP and ML models. This will help users understand about missing groceries.
How we built it
Part1
We created a box model and equipped it with an esp32 microcontroller that controls the lock and lamp. The microcontroller controls the electrical signals in the case of a lock, it sends a short-term electrical signal. For lamp
the electrical signal passes through the relay and turns on sterilization.
Part2
Health inside uses 2 different models fasttext and logistic regressions to predict vitamins based on product characteristics. We preprocess the input data and computed embeddings based on the fasttext model. Then we trained the logistic regression model for multilabel classification. These models were built in Python.
The website for users was built using Flask, Python, and Ajax and relation database PostgreSQL.
Challenges we ran into
We created our first box from an ordinary cardboard box, but after the organizers added time for work, we created a full-fledged box.
Accomplishments that we're proud of
We are proud that we have created a product that can be developed further and will be useful for distancing, healthcare, transport and goods delivery
What we learned
For the first time, we made an engineering solution together with a software
What's next for Here as Here
Part 1. Cleanbox+
Add shared boxes to apartments.
Add flexible cleaning time that users can select.
Add virtual assistant capability.
Optional sterilization lamp replacement function.
Creation of different sizes of boxes to improve the demand of different buyers.
Modification of the box for the use of sterilization in cars to prevent the risk of infection in carsharing.
Part 2. MyHealth.
Suggest items by vitamins based on the user's diet.
Compute percent of every vitamin in the grocery basket based on the daily norm for humans.
Push notification until when the product must be consumed.
Diet recommendation and selection of foods for people with diabetes or allergies.
Finding cheaper similar goods.
Built With
arduino
css
flask
html
machine-learning
natural-language-processing
python
Try it out
docs.google.com
healthbox.pythonanywhere.com
github.com
github.com | CleanBox+ | Stop virus, clean environment | ['Olesya Savelyeva', 'Arina Maltseva', 'Tanya Isaeva', 'Rina Omeclhenko', 'Наташа Дудоладова'] | [] | ['arduino', 'css', 'flask', 'html', 'machine-learning', 'natural-language-processing', 'python'] | 71 |
10,255 | https://devpost.com/software/balancever-your-balanced-daily-routine | Brand
Our mission
Problem
Research
Research
Personas
The solution
Why?
Platform
Technology
Team
Inspiration
For many weeks several million people are in home office to slow down the spreading of COVID-19 and avoid our medical system to collapse. COVID-19 is not only a question about life and death, it’s also about the functioning of our economy and our mental and social well-being.
By moving our workplace from the offices to our homes, the boundary between work and life vanished. This can lead to long and lonely working hours and imbalanced life styles.
We had to stop hobbies and social interactions, throwing us into a new life situation. Many people struggle to structure their day and stay motivated. By the end of the day we feel mentally drained, physically exhausted and socially isolated.
What it does
We created a platform that can help structuring a work day effectively, provide suggestions what to do during breaks and free time and display a work-life balance score.
With Balancever you can generate a structure for your day, boost your efficiency and avoid long working hours.You can select diverse activities for your break and free time. Every users can also suggets ideas and share with their collegues and friends.
Find your online Yoga class, connect with friends for a coffee or browse through fun events. Balancever is a one-stop shop that helps you to shape your new remote lifestyle. Stay home, stay healthy, stay energized, stay connected, stay balanced.
How I built it
Design Thinking, Adobe XD, Adobe Illustrator, Adobe Premiere, Adobe Photoshop, Dreamweaver, Android Studio, Flutter, Firebase and Github
Challenges I ran into
Creating a solution for people that works in remote mode. The solution’s impact to the crisis is creating more connections where there is social distance, the product helps against the stress at home, help the economic system
Accomplishments that I'm proud of
Creation of a platform customized for desktop and mobile, with a engaging user experience. Integration of apps needed for wellbeing and events/activities.
What I learned
To transform remote working in smart working, you need to think about human well-being.
What's next for Balancever
After build it we have to populate it, create the content, be in contact with the online content creators (and we help the economic system at the end) and provide a product that can be improved by every stakeholders. Live video share events for peer to peer connect, sleep monitoring.
The value of our solution after the crisis
It's a product that you can always use, because help you to be in balance, working at home, working in the office. It's helpful for companies that will have employee more relaxed, more productive and in balance, for every workers, for everyone.
GitHub Repository
https://github.com/balancever
Prototype
https://xd.adobe.com/view/d0df8f06-659f-44ab-9e45-f67787fd553a-858c/?fullscreen
Mobile Platform User Experience
Link to see the first user experience:
https://youtu.be/-pULEcAUI2k
Follow us
https://balancever.eu
Built With
adobe-creative-suite
adobe-illustrator
adobexd
amazon-web-services
android
android-studio
design-thinking
firebase
photoshop
react
Try it out
xd.adobe.com | Balancever | Balancever is a platform to help remote workers improve their well-being and productivity by enhancing their work-life balance. | ['www.balancever.eu', 'Francesca Sanfilippo', 'Maurizio De Magnis'] | ['Challenge Winner', 'The Wolfram Award'] | ['adobe-creative-suite', 'adobe-illustrator', 'adobexd', 'amazon-web-services', 'android', 'android-studio', 'design-thinking', 'firebase', 'photoshop', 'react'] | 72 |
10,255 | https://devpost.com/software/covid19_tracker-mzsc6y | This project was bootstrapped with
Create React App
.
Available Scripts
In the project directory, you can run:
npm start
Runs the app in the development mode.
Open
http://localhost:3000
to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.
npm test
Launches the test runner in the interactive watch mode.
See the section about
running tests
for more information.
npm run build
Builds the app for production to the
build
folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is ready to be deployed!
See the section about
deployment
for more information.
npm run eject
Note: this is a one-way operation. Once you
eject
, you can’t go back!
If you aren’t satisfied with the build tool and configuration choices, you can
eject
at any time. This command will remove the single build dependency from your project.
Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except
eject
will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.
You don’t have to ever use
eject
. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.
Learn More
You can learn more in the
Create React App documentation
.
To learn React, check out the
React documentation
.
Code Splitting
This section has moved here:
https://facebook.github.io/create-react-app/docs/code-splitting
Analyzing the Bundle Size
This section has moved here:
https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size
Making a Progressive Web App
This section has moved here:
https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app
Advanced Configuration
This section has moved here:
https://facebook.github.io/create-react-app/docs/advanced-configuration
Deployment
This section has moved here:
https://facebook.github.io/create-react-app/docs/deployment
npm run build
fails to minify
This section has moved here:
https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify
Built With
css
html
javascript
react
Try it out
github.com | covid19_tracker | A covid 19 tracker including map representation, graph representation, total live cases representation and country wise details of the cases, recovered and deaths | ['Fayaz Azeem'] | [] | ['css', 'html', 'javascript', 'react'] | 73 |
10,255 | https://devpost.com/software/maskon-zimdsc | Inspiration
It’s the question on every student’s and parent’s mind:
will schools reopen?
And if they do,
will it be safe?
Due to the COVID-19 pandemic, wearing masks has become a necessity to protect our community and families. It significantly reduces transmission rates, so it is mandated to wear these masks at school.
However, this is a significant adjustment, and will be
difficult for younger students to correctly wear a mask on their own for many hours in the day
. In addition,
teachers are more susceptible to the virus than the kids
, so if they need to fix masks for students, it puts
them
at risk. This should not be the case, and so I created the mobile application,
MaskON
to safety teach and enforce the use of masks at school.
My project falls under the Health Track
.
What it does
The app can be run on any mobile device and can be placed outside classrooms/halls/buildings. The student simply faces the app and the
app will detect if the student is wearing the mask correctly
. If they are, a “PERFECT” popup will occur. If the student is wearing it incorrectly, it will prompt a
popup with instructions on how to fix it
. The app can recognize when a person comes into focus and will automatically start analyzing the mask. This takes 2-3 seconds for the app to detect this.
Because this is all automatic,
no touching is needed
. This will prevent any possible transmission which
sets it apart
from other apps that require users to click buttons. In addition, the teacher can set an interval for how often to analyze to speed up the process. This makes it possible to analyze a whole class effortlessly.
How I built it
I used
javascript
and
react-native
to build the app. I also used the
Expo IDE Client
to test my application on my mobile device. The image recognition was aided by the
Clarifai image recognition API
, and I built a custom model to teach the computer to recognize proper mask wearing etiquette. I had to input json metadata for many example images that I used such as “MOVE MASK UP TO COVER NOSE COMPLETELY”, “PERFECT!”, and “TIGHTEN GAPS ON THE SIDES!” when I was training the model.
Challenges I ran into
Training the model to recognize these nuances was difficult and took hours of training before it got above the desired accuracy. But the most difficult challenge was making this all
touch free
. Initially, I was planning to use
Google API Speech Recognition
to prompt the app to begin analyzing when users spoke to the app. Students should not touch the device (if they did, it would defeat the whole purpose of reducing transmission at schools). But this took longer for the app to recognize and is not compatible for younger children who are still having trouble speaking clearly / are in a loud environment like a busy hallway.
So I changed my idea
. I instead set interval timers and used the
Clarifai Api to call the function to start analyzing when it saw a child, person, or adult in focus
. I found this to be much more efficient and compatible for all students and environments.
Accomplishments that I'm proud of
I wasn’t sure if the model was going to get accurate enough in time, but I was pleasantly surprised! It detects small nuances and mistakes people make when wearing masks like gaps near ears not not pulling the mask far up enough. In addition, I was happy that I was able to have the app analyze the student every time a student came into focus. This reduces transmission and speeds up the process.
What I learned
I am still pretty new to react-native, so I learned a lot about the functionalities through this project. I used more complex functions than I did in the past, but by troubleshooting, I not only came up with a functional application, but a stronger understanding of the language. I also researched more about UI to make this comprehensive for younger students to be able to use.
What's next for MaskON
In the future, this could be used in places other than schools that require masks (shopping centers, workplaces, gyms…). It is a
universal application geared to all users
. But, for the students, I would like to make more animations/sound effects to make the app more engaging and fun for younger students. After all, this is a big adjustment for them, so my goal is to
keep the community safe while making sure that the kids get comfortable with wearing masks, too
.
Also, I would like the app to send texts to the teacher informing him/her if any students entered without wearing the mask correctly. This streamlines the monitoring process and gives the teacher a record in case any contact tracing is required potentially.
All in all, I envision this app successfully preventing transmission and protecting the communities nationwide to prevent another spike in cases this fall
.
Built With
clarifai
expo.io
javascript
react
react-native
Try it out
github.com | MaskON | AI Platform that checks to see if students are wearing their masks correctly and instructs them how to fix it prior to entering a room or a building | ['Nandita Kathiresan'] | ['Health Track', 'Open Water Accelerator Internship'] | ['clarifai', 'expo.io', 'javascript', 'react', 'react-native'] | 74 |
10,255 | https://devpost.com/software/ass | screen design
system design
Personal Helath monitor
Mobile phone will capture data,noise, temprature and so on
will show the report
Logo of the app
Problem
As a health-conscious person, I want to make sure that I am healthy. I want to detect diseases early and to increase my level of wellbeing. Especially in the case of Covid19, I might be in danger myself and also a danger for my community. But I do not want to bother my medical doctor so often to do checkups.
Solution
Heartbeat runs as an app on smartphones, leverages existing smart things technology (watches, fitness trackers, scales, ...) to gather data. It integrates into the daily routine of the user, records a short video of an interaction where the user is asked to cough, take a deep breath, say a short sentence and is asked to tell about their impression about health state and symptoms that may have occurred. Heartbeat data, activity data, and other data from smart things is also integrated.
The data is analyzed by our central services. As the app is integrated into the daily routine. It can detect anomalies in heartbeat data, face and face movement, the sound of the voice, the sound of breathing or coughing not only on an onetime basis but also on a gradual changes basis. The app calculates a health state rating locally and recommends how the user could improve their health state or also whether the user should see a doctor. The user can override the health state in case of wrong predictions. The system learns to predict the health state better.
A user can share the collected data securely with medical doctors so that they can provide a better diagnosis. The system highlights the symptoms it has detected so that a medical doctor can check anomalies quickly.
We apply the highest standards to ensure the protection of personal health data. Data is made available on explicit consent only and stored encrypted.
Learned improvements in the prediction model for each user will be used to improve the prediction models for all users.
Users will be proud of their contribution to help to control current Covid19 and to prevent future pandemic outbreaks by using the app and providing anonymized health-state data. The daily health state of a user will be sent to the central service anonymously combined with rough information about the user's location. We make sure that it is not possible to identify a person from that data.
Users can decide whether they want to donate personal data (video data, smart things data, ...) to further improve the system, but this is not mandatory.
The central services of Heartbeat analyze the information provided by users of the app, from other data sources like Google search trends, social media monitoring, information from the health care system, open data (weather, travel data) to predict the health state of the population and to identify possible epidemiology relevant events.
The Heartbeat smartphone app is available in a freemium model for users. Persons that just want to check their health state from time to time can use the app for free. The premium version offers extended continuous tracking of their overall health state and recommendations on how to improve it.
The central Heartbeat services provide real-time data about the health state of a population. The data can be used to predict outbreaks of diseases, epidemiology relevant events, or demands for drugs and medical treatments. That kind of information is very valuable and can be sold to governments, healthcare system institutions.
What have we done during the hackathon?
We started from the very scratch, so we had to analyze the idea first and identify all necessary and crucial aspects of the idea:
We performed a feasibility study whether it is possible to detect symptoms with smartphones and wearables. We could identify a good amount of research papers from the fields of medical research and AI research. Research results provide evidence that it is possible.
We checked how we could collect the necessary data with smartphones and wearables. We checked the APIs of major brands and verified them.
We created and validated a prediction model for Covid19, which uses several symptoms such as fever, cough sound types, or breathing problems.
We created a business model to monetize the app.
We implemented a clickable visualization
We created a first design how the final app could look like
Solution’s impact on the crisis
Heartbeat enables persons to self-monitor their health-state on many symptoms, also complex symptoms like cough sounds or ECG anomalies. The app recommends seeing a doctor clarify detected anomalies. So it reduces the number of calls and visits to medical doctors. As users can share the collected data and the analysis of the system with their doctor, they can decide on the next steps much faster.
The central services provide anonymized health-states of many users. This data can be used for epidemiologic analysis and predictions.
The value of your solution(s) after the crisis
The app supports health-conscious persons to track and improve their health state. Using the data provided by the central services epidemiologic anomalies can be identified early. Both use cases address a market, which we estimate to ~50m EUR/month in EU, Americas, and APAC.
Necessities in order to continue the project
We plan to do following the next steps after the hackathon:
Integrate symptom detection models from research papers into our symptom detector models. It would be necessary to get access to all training and validation data that has been used.
Validate prototype with key user groups like medical universities and researchers.
Validate the business model
To continue the project on a long term basis we have to find funding to be able to implement and verify all parts of the system. We think of funding options like EU research grants for the research related parts and VC capital for building the company.
Built With
ai
android
figna
flutter
keras
machine-learning
mongodb
python
react
Try it out
heart-beat.invisionapp.com
github.com | Personal Health Advisor(24/7) | Smartphone based device using AI & Blockchian could test your health, advice and assist the doctor to examine efficently and effectively. It will also save the precious time of doctor. | ['Mahabir Gupta'] | [] | ['ai', 'android', 'figna', 'flutter', 'keras', 'machine-learning', 'mongodb', 'python', 'react'] | 75 |
10,255 | https://devpost.com/software/new-look-of-e-commerce-with-3d-ar-view | logo
layout
3 D view
3D view
AR view
AR view
AR view
3D view
Title of your project : New look of E-commerce with 3D & AR view
Problem Statement :
If we buy any products through online shopping app or website we don’t get a clear view of the products. Photos are the only comprehensive guide to products for E-commerce. Now a days, in this covid situation, having a complete view has become even more necessary as people mostly prefer online mode of shopping.
Proposed Solution :
I have developed a prototype of online shopping App using some websites which helps us to visualize our product in a much better way .
The main features of this application are:
1. 3D model of the products
Along with the photos of products I have added this feature, so that customers can view their products as 3D model.
2. Augmented Reality (AR) of the products
AR view of products will help customers to visualize with Smartphone camera in their near place like reality.
Built With
3d
app
appdevelopment
ar
augmented
java
reality
Try it out
drive.google.com | New look of E-commerce with 3D & AR view | This will help customer this Covid time in E-commerce to visualize the products in better way | ['AJOY KUMAR'] | [] | ['3d', 'app', 'appdevelopment', 'ar', 'augmented', 'java', 'reality'] | 76 |
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