hackathon_id int64 1.57k 23.4k | project_link stringlengths 30 96 | full_desc stringlengths 1 547k ⌀ | title stringlengths 1 60 ⌀ | brief_desc stringlengths 1 200 ⌀ | team_members stringlengths 2 870 | prize stringlengths 2 792 | tags stringlengths 2 4.47k | __index_level_0__ int64 0 695 |
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10,113 | https://devpost.com/software/meddit-j9q74e | Login Page
NLP Symptom Identifier Form & Community Pairing
Community + Post Functionality
Community + Post Functionality
Post + Comment Functionality
Inspiration
The purpose of meddit is to give users a better understanding of what symptoms and conditions mean. Through Communities users have access to a large base of experiences, emotions, and expertise. There are thousands of websites that give you medical terms that you know nothing about. Meddit wants to facilitate an open, inclusive environment that focuses on feelings and the experience of every day people.
What it does
-> NLP to identify symptoms in natural language
-> Recommended Diagnosis which is used for Community Pairing
-> Community auto generated based on use input
-> Community Page's
-> Community Posts and Post Functionality
-> Posts and Comment Functionality
How I built it
React + Material UI + Node + Express + Coffee
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for meddit
Thank you for your interest!
Built With
express.js
node.js
react
Try it out
meddit-25e2b.web.app
github.com | meddit | An intelligent social media platform for anybody with health issues seeking community, understanding, and clarity. | ['Yuchen Liu', 'Michael Luo', 'Teo Nys'] | [] | ['express.js', 'node.js', 'react'] | 61 |
10,113 | https://devpost.com/software/predictivecrowddonations | Inspiration
2020 has been an uncertain year, to say the least. Global health crises, wildfires, and numerous natural disasters has left many people in disarray, but has also led to many relief efforts and good causes. One of the best uses of technologies during this time is in creating ways to give individuals ways to contribute to relief efforts, as well as to give people financial tools to help themselves during uncertain times.
Project Explanation
Our web platform is meant to be a community crowdfunding platform where individuals can form groups and donate money to good causes such as relief efforts and vaccine development. The platform would allow for community formation and fund accumulation, and would also provide some investment guidance if the group wishes to invest their funds to generate more money for donation. Guidance is based on a machine learning model that predicts stock prices of certain companies, to give group leaders an idea of investment options.
Development tools
The website was built using React and Bootstrap styling along with Firebase backend services for user authentication and information storage. The machine learning model was built using Python, Tensorflow, and associated machine learning Python libraries.
Complications during development...
Getting the machine learning libraries to work nicely with Python, as well as setting up the React website proved to have a lot more complications than we had anticipated, and we were unable to overcome the import errors and complications to complete the website frontend in time.
Accomplishment
After many import errors and troubleshooting, we were able to complete the LSTM machine learning model! However hosting it as a web service turned out to be error-inducing as well.
What we learned
The biggest thing we explored was possible ways to try and implement machine learning solutions into different projects.
Future plans
Completing the website frontend and connecting it to our Firebase backend is our top priority!
Built With
firebase
python
react
tensorflow
Try it out
github.com | PredictiveCrowdDonations | PredictiveCrowdDonations is a community group crowdfunding and donation platform that attempts to raise money for good causes with a little help from machine learning. | ['Syed Rizvi', 'Muhammad Usman'] | [] | ['firebase', 'python', 'react', 'tensorflow'] | 62 |
10,113 | https://devpost.com/software/chevron-scheduler | Home Page
Inspiration
What it does
How I built it
Challenges I ran into
Working with peers in a virtual environment.
Accomplishments that I'm proud of
Devoted 24 hours to contribute to the project and try to learn new language behaviours.
What I learned
React Routing
What's next for Chevron Scheduler
Built With
mongodb
node.js
react
Try it out
github.com | Chevron Scheduler | Optimized Scheduling and access | ['Gautam Chatterjee', 'rahulgajawada', 'Sahil Joshi', 'Animesh-Saxena Saxena'] | [] | ['mongodb', 'node.js', 'react'] | 63 |
10,113 | https://devpost.com/software/redo-your-background-reimagine-your-money | Inspiration
To raise awareness for economic inequality by placing our audience into simulations of living life as an individual from a different gender, race, region, background and helping them understand how these uncontrollable factors could impact their life.
What it does
It challenges the audience with a question first. Upon scrolling, the audience will find out the answer to the question and hopefully gain interest for investigating just exactly how unequal wealth distribution can be on our planet. Then, we will prompt the audience to engage in an interactive game which reveals the median income and percentage of poverty based on the characteristics of an individual they have chosen. On the next page, the audience will be exposed to how their spending distributions will differ based on different income brackets in which they are in. Through this, we hope to engage our audience into thinking "what if I was born as ____" and come to the realization of the unfairness in our society. At the end of our webpage, we provide a resource base for audience to explore more information regarding this topic and ways they can make an impact as well.
How we built it
We build the website through a combination of HTML, CSS, and Javascript. We used HTML to build the framework for our site and the text displayed. We used CSS to alter fonts, spacing, and format the information in a way that will most likely appeal to our audience. We used Javascript to generate results for our simulation!
Built With
css
html5
javascript
Try it out
github.com | Simulate Another Life | Simulate your life as minority groups, opposing gender, and more! Witness the impact these uncontrollable factors have on your wealth and wellbeing. Learn about how you can strive for change! | ['Kai Hung', 'Ian Carroll', 'Yuka Aoyama', 'bsckalavin'] | [] | ['css', 'html5', 'javascript'] | 64 |
10,113 | https://devpost.com/software/re-mind-fgeok8 | Inspiration
I am always forgetting things; an app that automatically messages you with a reminder would be super useful!
What it does
Enter a message and a phone number and the app will send a text message to you through the Twilio API.
How I built it
React Native, Node.js, Twilio API
Challenges I ran into
Getting React Native to work. I am still very new to mobile dev!
Accomplishments that I'm proud of
I got the app to run!
What I learned
I learned how to create a mobile app and use the Twilio API.
What's next for RE-MIND
1) Implement recurring reminders
2) Implement reminders after x amount of time
RE-MIND (Mobile Application)
Overview
RE-MIND is an app that helps remind you of deadlines and tasks by messaging you! It's a great way to not forget and keep your MIND on track! It is a cross-platform application that uses React Native and Twilio to send reminders/notifications.
Technologies
React Native
Twilio
Node.js
Expo
Built With
css
expo.io
html
javascript
node.js
react-native
twilio
Try it out
github.com | RE-MIND | An app that helps remind you of deadlines and tasks by messaging you! It's a great way to not forget and keep your MIND on track! | ['Aditya Khanna'] | [] | ['css', 'expo.io', 'html', 'javascript', 'node.js', 'react-native', 'twilio'] | 65 |
10,113 | https://devpost.com/software/fitboard | Inspiration
COVID-19 has not only prevented many to meet up with friends, but also has closed down many gyms. Without proper motivation, this isolation makes it easy to become completely inactive, affecting not only your physical health but social relationships as well. Needing a method of social interaction healthier than simply just FaceTiming or Netflix Party-ing, we were inspired to create FitBoard - a way to stay in touch with friends and build a more active, healthy community in the world.
What it does
FitBoard is an app designed to connect friends through exercise. You can set up groups with friends called FitGroups, logging metrics like calories burned, length of workouts, consistency of workouts, and more in order to compete with each other and motive each other to stay healthy.
How we built it
The UI for the app was built with Dart and Flutter and we connected it a SQL serving using the Python library Django.
Challenges we ran into
Using Django to connect the UI with the server
What's next for FitBoard
We hope to eventually have users upload their personal home workouts to share with others, creating challenges that other groups can complete in order to compete with one another.
Built With
android
cloud-sql
dart
django
flutter
google-cloud
ios
python
Try it out
github.com
github.com | FitBoard | Has COVID ruined your workout routine? Want to connect with other exercise enthusiasts? Enter FitBoard. Compete with friends in FitGroups to burn the most calories and maintain your physical health. | ['Ishan Kamat', 'Elliot Fang', 'Saketh Katta', 'Andrew Lee'] | [] | ['android', 'cloud-sql', 'dart', 'django', 'flutter', 'google-cloud', 'ios', 'python'] | 66 |
10,113 | https://devpost.com/software/involvepedia | Choosing and learning more about various topics
More detailed information on a topic
Summary of user interest
Inspiration
We were inspired by the current cultural climate, ongoing movements, global warming activism, and others who were seeking to bring attention to social issues. Since it is almost impossible for anyone to keep up with all relevant issues, we wanted to build a website/database that compiles these issues and provide methods for people to contribute to them.
What it does
Involvepedia is an activism-based Quizlet/Tinder hybrid, with the mission of educating people on social justice issues tailored to their interest. In the site, users can browse through a variety of social justice movements, and with a “swipe right” on a card, a longer description will pop up, giving further information on the topics as well as informing ways that users can help/stay involved.
How we built it
We utilized CSS, JavaScript, HTML, and Vue.js to build our website. We primarily used VSCode and its various plugins (like Gitlens) to develop our project.
Challenges we ran into
Since most of our team members are unfamiliar with web development, we faced a pretty steep learning curve during the start of the hackathon. However, through trial and error, we were able to understand the various principles and rules that govern web-based languages. We also faced some challenges regarding “pulling and pushing” programs onto github, because this is the first time some of us have worked on Github.
Accomplishments that we're proud of
Since most members have never attended a hackathon before, we are incredibly proud of making a fairly well-polished website within such a short time. Our team is also proud of the stuffs we have learned from this event, either through our project or attending the various workshops. Finally, we enjoyed helping and spending time with one another throughout the event, which made this experience even more unforgettable to us.
What I learned
Through this event, we not only understood our strengths, but also about our weaknesses in programming. We hope to use what we have learned and acquired from this experience to make ourselves more well-rounded and effective programmers.
What's next for Involvepedia
The goal is to expand the database of cards from just a few to hundreds. We will tag every card with region and topic tags, allowing us to identify which areas of social justice our users are interested in, and alter their feed accordingly. We will also allow users to submit cards for social justice areas that they are interested in. These cards will be extensively checked by moderators to ensure good faith and accuracy before they are released into the general pool.
Built With
css
html5
javascript
vue
Try it out
github.com | Involvepedia | Spreading awareness for social justice issues and collecting global interest | ['rkumar890', 'James Ding', 'Qijia "Joy" Liu'] | [] | ['css', 'html5', 'javascript', 'vue'] | 67 |
10,113 | https://devpost.com/software/crewsheets-a-work-order-and-employee-management-system | Inspiration
Reading the Chevron challenge immediately piqued my interest in solving the same. I started thinking of how many different ways this problem could be solved.
What it does
This is a dashboard where new work orders will be added to a queue, and they will be distributed among the available crew. Another simultaneous crew management system would keep track of all the technicians and assign them accordingly.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for CrewSheets: A Work Order and Employee Management System
Built With
javascript
python | CrewSheets: A Work Order and Employee Management System | A work order management system to assign work orders/tickets to employees. | ['Ayushi Jha'] | [] | ['javascript', 'python'] | 68 |
10,113 | https://devpost.com/software/justicecoin-decentralized-activism | JusticeCoin - Decentralizing Activism
Drawbacks
What is mining
Ways to Mine
Admin Panel
Impact calculus
JusticeCoin - Crypto for Change
Inspiration
With the death of George Floyd and the rise of the BLM movement, many students set out to the streets to protest in defense of social justice and Black Lives. Unfortunately, many individuals were unable to join protests due to health concerns because of the COVID pandemic and were unable to donate monetary amounts to BLM organizations because of ongoing economic instability. JusticeCoin as a radical way to support the greater Black Lives Matter movement.
What it does
Through the use of the blockchain, JusticeCoin hopes to power organizations by revolutionizing fundraising. JusticeCoin can be used by anyone with a laptop, anywhere. Each donor contributes a percentage of their computing power to mining, and funds collect in a wallet before being transferred to our partner non profit organizations. Everytime a transaction occurs on the
monero blockchain
a message is sent out to everyone on the block. Here, miners validate the transaction by deploying a
proof of work
algorithm and reverse solving the encryption. From here, once the transaction is approved, a block is added to the blockchain and the miner receives a token reward. We use this token reward to generate revenue for nonprofits. JusticeCoin's mission is to leverage the power of the blockchain to revolutionize fundraising, democratize philanthropy, and create the next generation of cryptopowered financial technology. In order to incentivize sustained mining from our users, we use artificial reality in unison with non-fungible tokens to create unique rewards for our users. The first place winner will be automatically assigned an
EchoAR
‘clout’ trophy.
How I built it
I created both web and desktop platforms to raise funds using only the power of your computer. The web miner can be accessed by anyone with a laptop, and can run in the background. The desktop application is easily downloadable, works on both Macs and PC. The web application was designed on
figma
and then built with simple html, css, and a small amount of javascript. All of this content was mobilized into a web app and deployed on heroku. The software miner was built on
ElectronJS
. It was built on top of a fork of the
XMRIG monero mining
algorithm. The leaderboard system is only semi-functional -- it still needs some more work -- but it was built with JSON and visualized with html.
Challenges I ran into
I am terrible at building databases so I was very confused putting the leaderboard system together. I was unable to effectively complete this goal during this hackathon. Over the next few days, I will attempt to gain more experience handling user data and effectively implement that into the JusticeCoin ecosystem.
Accomplishments that I'm proud of
The test mining effort, done most in part by about 300 friends I contacted over the past 24 hours, was targeted towards raising funds for the bail project. In just 24 hours, my friends and I were able to generate about $27.42 for the bail project. While that doesn't sound like a lot, when we project this across a whole year we have the potential to generate more than $10,000 to empower the social justice movement. With these same numbers, JusticeCoin could easily hit
$1,000,000
in generated donations with 80,000 users over 12 months.
What I learned
I learned that react is amazing but also the worst thing ever invented. I learned so much about mining setups, the intricacies of the status quo of
distributed computing projects (Folding@Home, SETI@Home)
, and the importance of peer-2-peer testing to find bugs, design software architecture, and validate impact.
What's next for JusticeCoin Decentralized Activism
In the future, I hope to add a feature where a trophy is matched to a non-fungible cryptocurrency token. That way a clout trophy cannot be duplicated is solely owned by the individual that should own it. I am also looking into adding a referral system where someone can earn hours for the leaderboard by getting new people to mine crypto for JusticeCoin. JusticeCoin is dedicated to change by engaging the intersection of technology and social justice. Through the use of the blockchain, JusticeCoin hopes to power organizations by revolutionizing financial fundraising. I'm also going to be looking into other applications of the blockchain in potentially creating a competitor to existing platforms like GoFundMe and Kickstarter, while also enabling trust, democratization, and traceability.
#cryptoforchange
Built With
blockchain
c++
css3
electronjs
figma
heroku
html5
javascript
json
monero
npm
proof-of-work
react-native
xmrig
yarn
Try it out
github.com | JusticeCoin | Decentralized Activism | JusticeCoin is radical, decentralized fundraising tool that lets anyone become an active participant in the Social Justice movement. #cryptoforchange | ['Pratyush Mallick'] | [] | ['blockchain', 'c++', 'css3', 'electronjs', 'figma', 'heroku', 'html5', 'javascript', 'json', 'monero', 'npm', 'proof-of-work', 'react-native', 'xmrig', 'yarn'] | 69 |
10,113 | https://devpost.com/software/machine-learning-for-accessibility | 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 Machine Learning for Accessibility
Built With
google-cloud
machine-learning
python | Machine Learning | Machine Learning | [] | [] | ['google-cloud', 'machine-learning', 'python'] | 70 |
10,113 | https://devpost.com/software/stimulate | I try to outline everything in the video!
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 Stimulate
Built With
anaconda
jupyter
numpy
pandas
plotly
python | Stimulate | A US stimulus check dispersion heat map of US counties | ['Ron Underwood'] | [] | ['anaconda', 'jupyter', 'numpy', 'pandas', 'plotly', 'python'] | 71 |
10,113 | https://devpost.com/software/contextualize | Inspiration
I'm always looking to learn and grow through participating in hackathons, and working with industrial data sources was something I had never tried before. There was a lot to take in, so I decided to take some time to focus more on learning about the field and topics to better understand the data I'd be working with.
What it does
This presentation explains some important concepts to know going into contextualizing industrial data sources and documents my learning process.
How I built it
I followed Cognite's instructions use Postman to leverage Cognite API, and for this presentation I ended up using Cognite Asset Data Insight.
Here's a link to some images and .csv file generated that cannot be attached to this project.
https://drive.google.com/drive/folders/1xM3or0OP7qZdzVNPrRM9m8DJt6gms2Za?usp=sharing
Challenges I ran into
The biggest challenge I had was to understand the data I was working with. So I took a step back to understand the data more fully.
What I learned
This was a great crash course on mechnical engineering, as I learned so many new concepts and have better insight into the inner workings of an engine and how systems are maintained.
What's next for Contextualize
I'd love to leverage Python SDK to mold the data and present it a way that tells a story and implement some features, including:
interpolating values (e.g. temperature values) based on historical values when there are data gaps
adding option to show when significant events (planned or unplanned) happen
Built With
cognite
postman
Try it out
teachin.meself.online
drive.google.com | Contextualize | A Primer on Contextualizing Industrial Data Sources | ['Anita Yip'] | [] | ['cognite', 'postman'] | 72 |
10,113 | https://devpost.com/software/stressoff | ignore
Built With
react | X | x | ['Ebtesam Haque', 'Muntaser Syed'] | [] | ['react'] | 73 |
10,113 | https://devpost.com/software/findr-3lfd5r | Inspiration
Deciding on a movie to watch or resturant to eat at doesn't seem like that big of a problem at first glance. But a 2017 study that polled 2000 Americans concluded that the average American couple speends 132 hours a year deciding what to eat. Furthermore, the average Netflix user spends an average 18 minutes trying to decide what to watch.
This app aims to decrease those numbers substansially.
What it does
This app allows two users to swipe on movies or restaurants in order to help couples/partners decide.
How I built it
The app is built natively, using Swift. It uses Firebase as its backend, and uses the Google Places API to pull in location data, as well as Reelgood's internal api to pull in Netflix data.
Challenges I ran into
The biggest challenge was pulling in Netflix's data. They do not have a public api so I had to reverse engineer's Reelgood's internal one. Since there is no public documentation for it, using it was very tedious.
Accomplishments that I'm proud of
I'm really proud of the minimalistic UI. I am really a fan of simple, minimal designs.
What I learned
I learned a lot about how to use Firebase as a backend. I had some previous experience but never with an app of this extent.
What's next for Findr
Implementing machine learning in order to show movies/restaurants that a user is more likely to swipe right on more quickly.
Built With
google-cloud
swift
Try it out
github.com | Findr | A tinder like app to help couples chose movies/restaurants. | ['Vlad Munteanu'] | [] | ['google-cloud', 'swift'] | 74 |
10,113 | https://devpost.com/software/clubbuds | Open to Help Discover Page
Club Information Page
Inspiration
With COVID-19 causing all school activities to become virtual, it is harder for high schoolers to gain access to the resources and information necessary for school organizations and clubs. This can be especially challenging for freshmen or new-comers who want to learn about what activities or clubs their high school has.
What it does
ClubHub is a user-friendly platform for students to find the club that fits their interests and for clubs to connect with one another. We want to help students maintain social involvement in high school, especially during COVID-19, when everything has gone completely virtual. Despite being physically separated, our web app provides a way for students across the nation to build communities, share ideas, and collaborate.
How I built it
We built the ClubHub web application using:
1) React
2) Typescript
3) Recoil
Challenges I ran into
We had trouble connecting to Firebase, so we decided to focus on the client-side of the web application.
Accomplishments that I'm proud of
We are proud of figuring out how to implement Recoil to pass values from the different components. Most of us were not familiar with Recoil, but we are proud we were able to figure out the hurdles that came up.
What I learned
We learned that front-end is not easy, as we are all mostly familiar with back-end. However, we were able to improve a lot on our front-end skills with this project!
What's next for ClubBuds
We hope to add more filter options, tags, and improve the design of the web application.
Built With
react
recoil
typescript
Try it out
github.com | ClubHub | User-friendly platform for students to find the club that fits their interests and for clubs to connect with one another across the nation. | ['Gabe Guo', 'Sabreena Yang', 'JJ Guo'] | [] | ['react', 'recoil', 'typescript'] | 75 |
10,113 | https://devpost.com/software/educado | Watch the video
Built With
firebase
react
Try it out
github.com | Educado | Online school dashboard | ['John Pesavento', 'Sahaj vederey', 'Kevin Liu'] | [] | ['firebase', 'react'] | 76 |
10,113 | https://devpost.com/software/rapidocs | It's a big problem.
Complex tech made simple.
Inspiration
Everyone in our group asked the question
"we're in the digital age, so why do we have to fill out a different set of paperwork every time we go to a different doctor's office?"
After some research, we figured out why.
It's because the current EMR (Electronic Medical Record) industry is monetarily incentivized to not enable compatibility between different platforms. Say you're a physician and you diagnose your patient with a broken wrist and refer them to an orthopedic surgeon. Giving your patient the surgeon's information is easy, but trying to give the surgeon your patient's information? You might as well trying running through a brick wall. Odds are that your patient's file is tied up in your EMR system, because it's 2020 and a room full of filing cabinets is
soooo
2000.
One would think that should make it easy because, if it's digital, you should be able to export it, but that's just not how it works. See, you and your surgeon friend are probably using different EMR systems and the companies who make those systems look at that as opportunity. Because, if you're EMR doesn't let you effectively communicate then you're likely to switch and get the one your peers use. It's just like how Apple doesn't let android users text with iMessage even though they could easily add that functionality. To put it simply, "being consumer friendly is bad business."
Now, you may be asking "why is this such a big problem? Can't all the doctors in the world just switch to the best EMR system?" The answer is no, because not every office is as profitable as the next, so not every office can afford the best software. If you have to choose between the new blood testing equipment that could save lives or an EMR system, you're going to choose the blood testing equipment almost every time.
But that's not to say the ability to communicate wouldn't save lives. I mean the
DATA
will keep you up at night.
1. Referral leakage for a health care system can average anywhere from
55-65%
This means that even a marginal improvement could lower the cost of healthcare by more than 20%. Imagine how many more people would be able to afford healthcare.
2.
63% of referring physicians
are dissatisfied with the current referral process due to lack of timeliness of information and inadequate referral letter content. And
70% of the specialists
rate the referral information they receive as poor.
This is a HUGE problem. A lack of communication often leads to poor continuity of care, delayed diagnosis, increased risk for litigation, and
expensive
extra testing.
3.
86% of mistakes
made in the healthcare industry are administrative.
That's a chilling reality when you think about how medical errors continue to be the third biggest killer in the U.S. Behind only cancer and heart disease. And it only gets worse when you realize it's also basically just because EMR providers are greedy.
So how does our app let you solve this problem?
TLDR: it gives patients the ability to enter, edit, and travel with their data. Then, most importantly, provide their medical record to healthcare providers quickly and in a format that is compatible with most EMR's.
Patients can add their tests, diagnosis, procedures, medication, allergies, and appointments through one intuitive user-interface. They can then give a healthcare provider access to their chart by navigating to the "My Doctor's" page in our app and typing in their provider's phone number or email.
Once a patient has added their provider, the provider will be able to see and download their chart in the "My Patient's" page of our app. No hassle involved.
It's important to highlight that our project isn't trying to replace full EMR systems, it's just trying to free up the data that they are hogging.
So how does our app let you solve this problem?
TLDR: it gives patients the ability to enter, edit, and travel with their data. Then, most importantly, provide their medical record to healthcare providers quickly and easily.
Patients can add their tests, diagnosis, procedures, medication, allergies, and appointments through one intuitive user-interface. They can then give a healthcare provider access to their
How I built it
We make use of Google's Firebase API for almost every aspect of our web app. To start, we allow users to create accounts through Firebase's ability to authenticate using Google Sign-In.
Once a user is registered they can then enter their information through an intuitive UI created with express.js, css, and HTML. This data is then stored and accessed through Firebase's API.
Challenges I ran into
Oddly enough most of our issues came when we tried to apply advanced styling. We learned a lot about how Express.js components have root styles that require more specific selectors to change.
We kept using a single SASS file to style the entire project. Editing this one CSS controlling file would constantly cause large merge conflicts. This would cause us to slow down the development process.
Accomplishments that I'm proud of
We are proud of being able to complete a PDF and timeline of all the events and data. It seems to help enhance the user interface. We are also proud of being able to complete the CSS styling as well.
We are proud of being able to override the CSS of the React premade components. We were able to learn and use Sass to optimize our CSS. Finally, we were able to both deploy and host our project which brought it to the next level.
What I learned
How to use express.js and integrate it with the Google cloud API. I also learned how to generate a PDF from Javascript and data stored in the Firebase cloud.
What's next for rapidocs
We want to try and find a user-base for our project since we really believe it could have a positive impact on healthcare!
Admin Login
You can login with these admin credentials to see how that page works:
username:
admin@admin.com
password: admin1234
Built With
firebase
react
Try it out
rapidocs.herokuapp.com
github.com | rapidocs | Never fill out medical forms twice. | ['Aman Singh', 'Abinavraj Ganesh Sudhakar', 'Nicholas Khami', 'Steven Yao'] | [] | ['firebase', 'react'] | 77 |
10,113 | https://devpost.com/software/safe-menu | Safe Menu Logo
Login Screen
Part of the Signup Screen
The Dashboard
Inspiration
During the pandemic many are stuck at home with little to do but learn cook. While this is fine for many, people with dietary restrictions find themselves having to sift through recipes to find one that fits their needs. Our website changes that by aggregating these recipes and filtering them to what our users want. After creating and tasting the meal, our users can also share and rate the recipe with their friends!
What it does
We build a website that takes Dietary Restrictions, Allergies, Pre-existing Conditions and Family History to give food recommendations based on the choices available as well as how likely the person is to get a certain health condition.
Once signed up the user will get food recommendation and its recipe as well as the info on the ingredients.
How we built it
We used React and firebase for the frontend and login authentication and then are using an API which gives food recommendation based on the search.
Challenges we ran into
When initially developing the project, we wanted to include an ML model but we weren't able to find the best dataset of function to achieve >90 accuracy level for the model. Hence, the machine learning algorithm sat between 50-70% model accuracy. After seeing the results we decided that our time was better spent on the website however, even then we had to deal with many strange (but not uncommon) issues such as CSS acting funny, git not allowing pull requests, and general internet issues.
Accomplishments that we're proud of
Collaborating and communication remotely was definitely something we are proud of because many simple tasks become longer and with the all the scheduling and troubleshooting we had to do, being able to create a hackathon project under time constraints could be considered an accomplishment.
What we learned
New methods of solving problems using React and python in addition to understanding the scope of the project. Having many different specialties and perspectives allowed us to view the project calmly especially as the deadline loomed over us.
What's next for Safe Menu
Full backend integration with an ML model that would allow us to predict the user's food preferences and their chances of developing an illness and general UI fixes.
Built With
css
firebase
html
javascript
keras
react
tensorflow
Try it out
github.com | Safe Menu | A website dedicated towards people with dietary restrictions! They can specify their needs and wants and our website will provide a reccommended menu. | ['Ben Wang', 'Kaushik Akula', 'Rithik Jain', 'Anubhav Rawal'] | [] | ['css', 'firebase', 'html', 'javascript', 'keras', 'react', 'tensorflow'] | 78 |
10,113 | https://devpost.com/software/raktadaan | The crude dashboard that we have setup so far.
Inspiration
Nepal doesn't have a particularly robust healthcare system, and with a pandemic going on on top of everything else, its evident that the hospitals just haven't been able to keep up. One particular issue we have been thinking about a lot for quite a while now is an acute shortage of blood that has cropped up all over Nepal. There is no central registry of people willing to donate blood and people needing blood. People often resort to posting on Facebook and Twitter, asking for blood.
What it does
Raktadaan is a simple web app that allows you to do two things: ask for the type of blood you need, or register to donate your own. It then shows the nearest people with the particular type of blood you need.
How we are building it
We are building Raktadaan using Django with Django Rest Framework in the backend. On the frontend, Raktadaan is a single page application build using React.
Challenges we ran into
We had some challenges with making sure we communicate well while working on a very limited timeframe. But we grew used to it soon and it was all a lot of fun before long!
Also, the three of us are collaborating from three different parts of Kathmandu, so we totally depend on the internet and electricity working alright. Each of us had at least one powercut, and for one of us, it actually happened when git was busy writing on disk, resulting in a corrupted repo. Starting over from a clone and then reinstalling a gazillion node and python packages made us realize how bulky and slow some of the tools we use are.
Accomplishments that we're proud of
We are really proud of what we have done in the very short amount of time given to us. All of us had some experience working on our own, but not much working with others, so we are very happy about getting to experience some of that. Aayush, who mostly works on the frontend solo, has been managing the project as a whole, and he is proud about being able to do all that.
What we learned
We learned managing time, stress and fun to make the most out of events like a hackathon.
What's next for Raktadaan
We will work on making the app feel and look good. We will also try to integrate a map into our app because that would be a great way to visualize the data we are trying to present.
Built With
django
drf
node.js
react
redux
Try it out
github.com | Raktadaan | Raktadaan is an app that connects people that need blood to people that have blood they can donate. | ['Abhigyan Bhusal', 'Swikar Gautam', 'Aayush Acharya'] | [] | ['django', 'drf', 'node.js', 'react', 'redux'] | 79 |
10,113 | https://devpost.com/software/chatbot-wcysfg | user-interface
[This project is not finished yet!]
Inspiration
..in progress
What it does
..in progress
How I built it
..in progress
Challenges I ran into
..in progress
Accomplishments that I'm proud of
..in progress
What I learned
..in progress
What's next for Akeelah, The Learning Chatbot
..in progress
Built With
css
figma
html5
node.js
npm
react
typescript
Try it out
akeelah.online | Akeelah: The Literacy Chatbot | Akeelah is a chatbot for children ages 10 and under that engages in fun interactive activities for improving child literacy and expanding vocabulary. | ['Mojola Balogun'] | [] | ['css', 'figma', 'html5', 'node.js', 'npm', 'react', 'typescript'] | 80 |
10,113 | https://devpost.com/software/covidcollaboration | What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for CovidCollaboration
Built With
bootstrap
css
google-maps
html | . | .. | ['Kevin M'] | [] | ['bootstrap', 'css', 'google-maps', 'html'] | 81 |
10,113 | https://devpost.com/software/resu-me-utm2s6 | Inspiration
The socioeconomic disparity present in the world we live in has become increasingly evident, now more than ever. Having witnessed the social effects, and more importantly, the financial setbacks of a global pandemic on both a personal and widespread scale, we were driven to build a platform that would serve those in need:
resu.me
.
What it does
resu.me is a platform that provides those with few resources or little academic background with the tools to build a successful career. resu.me custom tailors each user's experience to their individual skills as well as aspirations, building a personal portfolio of suggested courses and potential job opportunities. Beginning to work towards a meaningful career can be very overwhelming, especially for those with little experience or guidance, and resu.me serves to make the entire process seamless.
How we built it
resu.me is built with a Vue.js frontend that interfaces with two separate API servers in the backend. One server is built with NodeJS/Express, communicates with MongoDB, and manages most of the site administration, such as authentication and database operations. The other server is built in Python with the Flask microframework, and focuses exclusively on web scraping. After receiving those results, the frontend communicates with the Node server for any remaining tasks, such as saving bookmarked courses and jobs to MongoDB and updating the profile accordingly.
Challenges we ran into
A concern that we had as we conceptualized and began working on the course and job scraper was latency issues. Initially, in order to display a significant amount of results for both course options and job opportunities, we had relatively long wait times. We ultimately addressed this with parallel programming: for each API call, we scrape all of our source websites concurrently by offloading each scraper worker to its own thread. This effectively doubled the efficiency of our scraping process by halving our delivery time.
What's next for resu.me
resu.me has tons of room for improvement as a platform. We'd like to implement a wider reach, and the capability of providing users with various types of resources, ranging from useful articles to event notices to mentor connections. We'd also plan to focus on fine-tuning our suggestions to each user even more, ultimately just seeking to create a platform that can truly inspire and create change.
Built With
express.js
mongodb
node.js
vue
Try it out
github.com | resu.me | Empowering our essential workers, one course at a time | ['Thomas Yeum', 'Megan Xiao', 'Marc Shen', 'Andy Wang'] | [] | ['express.js', 'mongodb', 'node.js', 'vue'] | 82 |
10,114 | https://devpost.com/software/futuristics | Innblástur
Við sáum heilbrigðiskerfið bregðast hratt og örugglega við í því ástandi sem Covid19 skapaði.
Við sáum nýjar lausnir verða til og komast í notkun á mettíma.
Við sáum heilbrigðisstarsfólk sýna æðruleysi og sveigjanleika á ófyrirsjáanlegum tímum.
Við sækjum okkar innblástur í framtíðina.
Hvað er Futuristics?
Futuristics er verkfæri sem hjálpar stjórnendum á Landspítalanum og öðrum heilbrigðis- og velferðarsviðum að vera betur undirbúin undir það sem koma skal.
Aðferðafræðin
Það mikilvægasta sem við gerðum í okkar ferli var að tala við starfsfólk af Landspítalanum og fá innsýn inn í þeirra þarfir og sýn þeirra á vandamál í heilbrigðis- og velferðarkerfinu.
Það hjálpaði okkur við að móta hugmynd sem síðar varð að lausn sem nú er Futuristics.
Þekking og reynsla af gagnavinnslu og hugbúnaðarþróun gerði okkur kleift að hanna frumgerð Futuristics sem við hlökkum mikið til að þróa og kynna frekar.
Helstu áskoranir sem við tókumst á við
Helstu áskoranir sem við tókumst á við voru að skala verkefnið okkar og sjá hvað væri geranlegt á einni helgi.
Hvar áttum við að byrja? Við hverja áttum við að tala? Hvað skipti okkur mestu máli að fá að vita?
Við eyddum mjög miklum tíma í að tala við leiðbeinendur og leita okkur upplýsinga.
Það eru þessar áskoranir sem leiddu okkur að lokum að Futuristics.
Við erum stolt
Við erum stolt af teyminu okkar og þeirri miklu vinnu sem við lögðum í lausnina okkar.
Við erum stolt af lausninni okkar og við trúum því að Futuristics geti verið öflugt verkfæri í höndum metnaðarfullra leiðtoga í heilbrigðis- og velferðarmálum.
Við lærðum ýmislegt
Að ætla að læra á helstu verkferla innan Landspítalans á einni helgi er ekki hægt. Trúðu okkur - við reyndum.
Að hafa allar spurningar hnitmiðaðar í fjölmörgum samtölum er mjög erfitt en stundum lærðum við mest þegar við leyfðum okkur að hætta að spyrja og bara hlusta á það sem leiðbeinendur og samstarfsfólk vildi segja okkur að fyrra bragði.
Að vera góður í teymisvinnu þýðir ekki endilega að vera sammála öllum alltaf. Bestu hugmyndirnar sem við fengum spruttu upp úr rökræðum og heiðarlegri en vinsamlegri gagnrýni.
Næstu skref fyrir Futuristics
Futuristics leitast eftir samstarfi við Landspítalann og vill þróa sína lausn áfram á bráðamóttökunni í Fossvogi og innleiða hana þar að endingu.
Þaðan er stefnan tekin á sem flestar göngu- og legudeildir Landspítalans.
Langtímamarkmið Futuristics er að vera leiðandi verkfæri í heilbrigðis- og velferðarmálum.
Built With
figma
google-docs
jupyter
numpy
powerpoint
python
scipy
word | Futuristics | Futuristics er verkfæri í heilbrigðis- og velferðarmálum | ['Margrét Lena Kristensen', 'Eysteinn Finnsson', 'Sólveig Rán Stefánsdóttir'] | ['Innovation in Health Care'] | ['figma', 'google-docs', 'jupyter', 'numpy', 'powerpoint', 'python', 'scipy', 'word'] | 0 |
10,114 | https://devpost.com/software/kinder-yjzqfl | Kinder was built created by me, Gamithra, with help from my brother, Johann. Let's rewind for a moment and take a look at how we got here.
Past
My favourite things in the world are Iceland, writing code, eating snacks, going to startup events and pondering about subjects such as communication engineering and independent economies - and I did not expect this hackathon to connect them all together when I signed up.
I had always wanted to become an Icelander when I grew up, so I started learning Icelandic on the internet before finally packing my things and getting a one-way ticket to Iceland when I was 17. I ended up graduating from Menntaskólinn á Tröllaskaga, ended up
being the first girl to win Forritunarkeppni framháldsskólanna
, getting all tangled up in politics and falling in love with small communities in Westfjords thanks to
Blábankinn at Þingeyri
.
I plan to be back soon - but since leaving Iceland in early 2019 I gained a ton of experience in the startup community in Tallinn, Estonia (that's where were from!), started a
gamification startup called Adact
, gotten a job as a security consultant in the information security industry and moved to live with
a small community of hackers in a repurposed chapel in North Wales
, and had a lot of time to figure out what it is I want to dedicate my life towards - see my
mission statement!
Kinder is an indirect outcome of all of these experiences - and I'm really excited to see where it'll go.
Present
During the hackathon, we cycled through a bunch of ideas before getting to where we are now. We asked ourselves the important questions and made sure we knew which problems we were solving, if these were in fact real problems and not just us throwing a nice-looking solution at something we wanted to believe to be a problem. It took a lot of courage to ditch some of the ideas we had already started working on - but it just made us stronger.
I got extremely excited when I realized the Kinder idea is perfectly in line with my own future goals and I could definitely see myself bringing this project to life. The excitement, of course, led to long nights hacking away - this here would be much better written if I had managed to get a couple of extra hours of sleep!
I'm proud of where we ended up and how much we learned on the way - and I truly believe in this mission.
We can help the grandma needing a plumbing catastrophe in the middle of the night. We can help the kids with not the right study supplies to do better in school. We can solve the issues of food and household products going to waste by arranging donations. We can make that girl's dream of owning a laptop so she could learn programming come true. We can help the local hackerspace to give more back to the community.
And have fun doing it while competing against our friends.
Future
I really want to figure out what people need to work together as efficiently as possible and become the best versions of themselves - and build software to automate the parts of human communication we're not as efficient at.
Making Kinder come true and continuing on the project is a wonderful way of studying what motivates people to contribute and give back to the community - and on the other side, figuring out what makes people reluctant to ask for help.
Eventually, I want to keep adding on to this, building on top of the existing user base. This solution could easily include efficient sharing of vehicles, tools, and other supplies, implement a location-based social network, serve as a common platform for sharing news, ideas and knowledge, and increase transparency and participation by including local voting systems.
But figuring that out will probably take decades. So for now, let's focus on the small things we can do right now, and push the snowball off the hill while making it easier for people to work through the aftermath of a global pandemic! <3
Built With
css
html
javascript
Try it out
gamithra.com | Kinder | Kinder uses gamification to get people hooked on helping and fulfilling its aim of strengthening small communities by making offering and receiving help fun, engaging and transparent. | ['Gamithra Marga', 'Johann Marga'] | ['Social and Welfare Innovation', 'Everything goes'] | ['css', 'html', 'javascript'] | 1 |
10,114 | https://devpost.com/software/hands-on-lab | Project Logo
GIF
Machine Learning generating the trajectory of the robotic arm movements
The robotic arm hardware after assembly
Live streaming of the robotic arm on the virtual lab
A rendered image of the CAD design of the robotic arm generated using Solidworks
A screenshot showing the live streaming software.
Inspiration
Studying in a university that implements active learning, we have learned the importance of ‘a hands-on learning experience’. Having worked with middle and high-schoolers for more than a year, we learned the importance of getting immediate feedback and working with hardware.
After our summer that involved teaching kids got canceled due to COVID-19, we started thinking about teaching online as vividly as possible, with a minimum reduction in the learning experience of the students.
Acknowledging that Iceland is also following the social-isolation measurements, thus prohibits gathering and requiring 2 meters between each student, make lab experience extremely difficult. Therefore, we are aiming to bring novel teaching environments that do not necessitate such gatherings without sacrificing the hands-on lab learning experience.
What it does
‘Hands-on Labs’ is a set of virtual labs that allows students to observe and remotely control various physical tools online in realtime for their courses. Depending on the curriculum, students can choose among different virtual labs and book a time-slot on the website and engage with the tools as instructed to have a live experience. For a robotics/coding course, for example, once the student’s log-in to the website, they will be able to use a virtual robotic arm, upload their code/input and change the coordinates of the hinges of the physical robot arm and observe the robot arm executing their commands in realtime.
While this experience before COVID-19 would not be possible without gathering in labs, our virtual platform would bring the lab to the students. So that they will learn through a hands-on experience by being able to observe the real-life execution of the code they are writing.
How we built it
Building a fully functional prototype for our project within the allocated time for the hackathon (approximately 72 hours) was an extremely challenging task. Primarily, our goal was finishing four major parts for our project prior to the submission as the following:
1) Run a survey about the idea among students that are currently learning online to get feedback on the product and what students would like to see as a result.
To evaluate whether students at our university who took any computer science classes in the past or future students planning to take computer science classes in the future would want such a service, I designed and conducted a short survey that targets all Minerva's computational sciences students. The short survey that can be found at:
https://forms.gle/MgV1MMFpMzUp3Mz59
It takes less than five minutes to complete the survey as an encouragement for students to share their thoughts.
The survey asked straight forward questions regarding the student's learning experience about robotics in computer science classes. And whether they would want a more practical learning experience as a part of that course.
The survey got 24 responses so far, where 84% of the responses indicated that getting the chance to experiment with a real robotic arm would add to their learning experience. Additionally, 50% of all the respondents left an extra comment at the end about their thoughts of the project, where almost everyone highlighted that this project would boost their learning outcomes.
2) Build and launch a website where the idea of the virtual labs is explained and we can list various labs that students can access. Additionally, the website should have a section where institutions wishing to turn one or more of their labs into virtual labs can contact us.
In this step we built and launched a website that acts as the primary front end for all the virtual labs that are hosted. This website can be found at:
http://handonlabs.com/
This website was built using Wordpress and is hosted on Google Cloud Platform.
3) Utilize some of the hardware that we currently have access to during quarantine so that it can be accessed online to create a showcase of a demo for a virtual lab.
All the details for this step can be found at this link:
https://drive.google.com/file/d/1gJ9Md5eZR6nt-CrmWxHtRdF6eRmCBD4B/view
4) Build and launch a fully functional virtual lab for the robotic arm hardware where students can control and observe the robotic arm hardware in realtime to showcase the concept of a virtual lab.
All the details for this part can be found at this link:
https://drive.google.com/file/d/17Cvry5j-9RJ4CB9XFabOOkOcJiGHvBjh/view?usp=sharing
5) Run various tests to ensure that all the various project parts are running smoothly.
We have shown our lab to some of our peers and professors to ensure a smooth experience as well as getting their feedback as users.
We ensured that the robotic arm and the back-end of the project is working smoothly with minimum delay.
Also at this stage we ensured success by considering our metrics that is user-satisfaction and adding value to the online educational experience.
6) Finalize the presentation that we will use to showcase the entire project.
We have highlighted the marketing aspects of our project as well as showing a live demo of our virtual robotics lab.
Challenges we ran into
Due to shelter in place measurements in our location, we only had to use the hardware we already had in the closet without being able to buy any other necessary components, which was a restraining challenge. Therefore, building the robot-arm (both back-end and front-end) in such a short time with limited tools was a harsh challenge that required a lot of sweat and tears.
Additionally, making sure that the software was working smoothly and fully functional by getting timely feedback with time zone differences was difficult as we needed responses from the users in such a short time. Also, since we are only two people while one of us is fully responsible for the technical part and the other was focused on the design aspects, the time was a constraint for us. To be completely honest, we were initially relatively unfamiliar with the Icelandic culture and local challenges; however, finding out that it is an education-centric country that has room for such innovations was fortunate to find out.
Accomplishments that we're proud of
We managed to finish the following: a survey that measures user interest in our project, an online website that is published and hosted on Google Cloud (
http://handonlabs.com/
), a fully functioning robotic arm virtual lab that is also published and hosted on Heroku (
http://www.robotarm.net/
), a fully functioning robotic arm hardware that is connected to the server and each of them have proper documentation that is also boosted with the marketing presentation and business plan. Also considering that we are only two people, combining our works like puzzle pieces in terms of the technical and design aspects in 72 hours was a complete success.
What we learned
Regarding the back-end, we have appreciated how modern open-source hardware allows quick implementation that we have used to our advantage. Also, using modern web development tools such as Python, Flask, SQLite, Heroku, Wordpress, Google Cloud, etc. boost and accelerate the process of building web-applications.
Based on our survey to get some feedback from our potential users, we have seen that our idea is attractive to many students, even if they do not study computer engineering.
Based on our researches, we are amazed by the extremely high literacy rate of Iceland! Also based on sociological and historical analyses, the world seems to become more and more online due to COVID-19 which is likely to persist after the crisis.
Lastly, apparently sleeping 3 hours is enough for the human body if you have an exciting idea in mind!
What's next for Hands-on Lab
While currently, the only virtual lab that is live as a demo on the Hands-on Lab is the robotics arm lab; in the future, we are planning to partner with government and private educational institutes to turn their labs into virtual ones as their curriculum allows by hosting them on our platform. Moreover, the labs can be applied to many other hardware tools for different levels of schools, such as 3D printing, laser cutting, Arduino boards, EV3 Lego Mindstorm.
Also, since we are a B2B business, having such partnerships with educational institutes will generate revenue streams that can be used to scale the project thus benefiting a chain of collaborated educational institutions that will reach to more and more students.
Built With
arduino
bootstrap
css
flask
google-cloud
heroku
html5
intel-edison
iot
javascript
kaltura
machine-learning
numpy
python
robotics
sqlite
wordpress
Try it out
github.com
handonlabs.com
www.robotarm.net | Hands-on Labs | COVID-19 measurements cut the hands-on learning experience of students; thus, we are creating virtual labs that make hardware tools accessible using the internet of things technology. | ['Ahmed Kamel', 'Bukle UNALDI'] | ['Innovation in Education'] | ['arduino', 'bootstrap', 'css', 'flask', 'google-cloud', 'heroku', 'html5', 'intel-edison', 'iot', 'javascript', 'kaltura', 'machine-learning', 'numpy', 'python', 'robotics', 'sqlite', 'wordpress'] | 2 |
10,114 | https://devpost.com/software/askorun-2020 | Fjöldi ferðamanna
1. Vandamál
Árið 2018 fóru um 2,5 milljónir erlendra ferðamanna um Keflavíkurflugvöll og var það metár í ferðaþjónustu. Raunar höfðu öll ár frá 2010 verið metár, þar sem fjöldi ferðamanna sem kom til landsins bara jókst og jókst. Eftir örlitla fækkun árið 2019 bjóst fólk í ferðaþjónustuni við að árið 2020 yrði sambærilegt — sennilega kæmu færri ferðamenn en árið 2018, en að árið yrði samt sem áður tiltölulega gott og gjöfult.
Svo kom COVID-19.
Í síðasta hefti Peningamála Seðlabankans (2020/2) gerir bankinn ráð fyrir því í grunnspá sinni að það sem eftir lifir ársins muni einungis um 50.000 ferðamenn koma til landsins. Ef sú spá reynist rétt verður hrun í fjölda erlendra ferðamanna sem eru í landinu í hverjum mánuði, eins og grafið að neðan sýnir
Þetta hrun í fjölda ferðamanna hefur nú þegar haft afdrifaríkar afleiðingar fyrir hagkerfi Íslands. Mikill fjöldi fólks starfar í ferðamannaiðnaðinum og hann er sú útflutningsgrein sem hefur dregið inn mestar erlendar tekjur síðustu ár. Atvinnuleysi í apríl 2020 var 18% (samanlögð tala úr almenna bótakerfinu og úrræði stjórnvalda um minnkað starfshlutfall) og fjármálaráðherra sagði að „þetta stefnir í að verða ein mesta krísa í hundrað ár á Íslandi“
2. Lausn
Ljóst er að engin ein lausn mun leysa öll þau vandamál sem orsakast af hruni í fjölda ferðamanna til landsins vegna COVID-19. Til þess að minnka áhrif samdráttarins á þjóðarbúið þarf margs konar úrræði. Stjórnvöld hafa nú þegar tilkynnt mörg slík: hlutabótaleið, brúarlán til fyrirtækja, seinkun á greiðslu skatta — og 5000 króna stafræna ávísun á ferðaupplifun fyrir alla Íslendinga eldri en 18 ára.
Þessi ferðaávísun stjórnvalda er einn hluti af stærra markmiði; að fá Íslendinga til þess að ferðast um landið sitt í ár. Að Íslendingar heimsæki sundlaugar og lón, að þeir borði á veitingastöðum og sjoppum víðsvegar um landið, að þeir gisti á hótelum og gististöðum fjarri heimabyggð.
Teymið okkar vill leggja sitt af mörkum við að hvetja Íslendinga til að ferðast innanlands í ár. Hugmyndin okkar er app sem hvetur alla landsmenn að ferðast um Ísland og skapar stemningu í þjóðfélaginu um ferðalög innanlands. Nafnið á appinu er því Áskorun 2020, enda er markmiðið að skora á Íslendinga að ferðast um landið.
Appið Áskorun 2020 gengur út á svokallað gamification af ferðalagaupplifuninni.
Gamification snýst um að gera hversdagslega (og jafnvel leiðinlega) hluti skemmtilega með því að gera þá að leik eða keppni. Fólk hefur gaman að því að leika sér og að keppa við hvert annað. Þekkt dæmi um gamification eru til að mynda:
Pokemon Go (leikur sem fær fólk til að hreyfa sig)
Strava (keppnis- og samfélagsmiðill sem ýtir undir hreyfingu)
Duolingo (app sem gerir tungumálalærdóm að skemmtilegum leik)
Áskorun 2020 er app fyrir bæði Android og iPhone sem mun hvetja til ferðalaga um landið og gera þau skemmtilegri. Þegar appið er keyrt getur notandinn séð lista yfir áhugaverða staði í nágrenninu. Þessir staðir falla í fjóra flokka:
Sundlaugar
Bæir og þorp
Fjöll
Fossar
Notandinn getur séð á korti hvar þessir staðir eru. Þegar notandinn kemur svo að áhugaverðum stað mun appið greina það og bjóða notendanum að stimpla sig inn á staðinn. Notandinn getur gert það og mun svo geta tekið sjálfu (selfie) á staðnum. Í appinu mun einnig vera stigaborð (leaderbord) þar sem hægt er að sjá hver hefur stimplað sig inn á flesta staði. Einnig verður hægt að sjá eftirfarandi undirflokka:
Fjallageitur (þau sem hafa heimsótt flest fjöll)
Sundgarpar (þau sem hafa farið í flestar sundlaugar)
*Landshornaflakkarar (þau sem hafa heimsótt flesta bæi á landinu)
Fossavinir (þau sem hafa heimsótt flestra fossa á landinu)
3. Tæknileg útfærsla
Appið er skrifað í React Native (Expo). Bakendinn er skrifaður í JavaScript, keyrður á Node.js og hýstur hjá AWS. Listi yfir fossa, sundlaugar og þéttbýli (og hnit þeirra) koma frá Ferðamálastofu og Landmælingum Íslands. Myndir og önnur grafík eru fengin frá Vegagerðinni og Wikimedia.
4. Vinna helgarinnar og vandamál sem komu upp
Yfir helgina fengum við hugmyndina, og töluðum okkur svo saman um hvað Áskorun 2020 þyrfti til brunns að bera. Því næst útfærðum við prótótýpu að appi, og settum loks saman kynningu um verkefnið. Aðalvandamálin sem við stóðum frammi fyrir var að finna góð geolocation gögn um fossa, bæi og fjöll á landinu — en einnig að finna góðar ljósmyndir án notkunartakmarkana sem nota mætti í appinu.
5. Áframhald verkefnisins
Til þess að verkefnið haldi áfram þarf að okkar mati fimm hluti:
Fara þarf yfir kóða appsins og betrumbæta, og svo mögulega gera hann open source
Prófa þarf appið á mismunandi símum (og þá helst mismunandi Android módelum)
Stress-testa þarf appið svo það höndli upp að 50-100.000 notendendur samtímis
Gefa þarf appið út í Google Play og App Store
Kynna þarf appið í fjölmiðlum og mögulega auglýsa það
6. Gildi verkefnisins eftir COVID-19
Hvert er eiginlega gildi verkefnisins eftir að COVID-19 er lokið, hvenær svo sem það verður? Við þeirri spurningu eru nokkur svör. Appið gæti hvatt fólk til þess að sjá meira af landinu sínu og kynnast því betur. Appið gæti gert ferðalög ársins skemmtilegri. Appið gæti hjálpað fyrirtækjum og fólki sem berst í bökkum vegna fækkunar erlendra ferðamanna með því að hvetja fólk til ferðalaga innanlands. Appið gæti einnig komið með ákveðna gleði og jákvæðni inn í sumarið, eftir ár sem hefur verið erfitt fyrir marga.
7) Prótótýpa
Hægt er að prófa prótótýpuna af appinu bæði í Android og iOS með því að sækja app sem heitir “Expo” / “Expo Client” og skanna svo QR kóðann sem finnst á eftirfarandi vefslóð:
https://expo.io/@svngr4/askorun2020
8) Vídeó
https://www.youtube.com/watch?v=Fy95ACfiDg4
Built With
expo.io
javascript
react-native
Try it out
expo.io | Áskorun 2020 | Með appinu Áskorun 2020 viljum við skora á Íslendinga að ferðast um landið í sumar, og gera smá keppni úr því — t.d. hver hefur séð flesta fossana eða farið í flestar sundlaugarnar. | ['Ívar Gautsson', 'Þorvaldur Gautsson'] | ['Innovation in Employment'] | ['expo.io', 'javascript', 'react-native'] | 3 |
10,114 | https://devpost.com/software/blessud-minning | Blessuð Minning homepage
Áskorunin okkar
Nýsköpunarhugmyndin sem að við höfum unnið að um helgina snýst um það að auðvelda og einfalda þau þungu skref sem það er að missa ástvin. Við einblínum á að einfalda ferlið sem snýr að praktískum atriðum sem fólk þarf að huga að þegar að nákominn aðili fellur frá. Áskorunin sem að við ákváðum að leysa fellur undir félags- og velferðarmál en lausnin stuðlar að því að veita einstaklingum hjálp á erfiðum tímum sem að geta valdið mikilli streitu. Nýsköpunarhugmynd okkar eykur því lífsgæði fólks og auðveldar þeim ferlið.
Lausnin sem að við unnum að á sérstaklega mikið erindi núna þar sem að stór hluti samfélagins býr almennt við nokkuð mikla streitu sem að getur haft neikvæð áhrif á heilsu og ónæmiskerfi einstaklinga. Lausnin okkar miðar sérstaklega að því að styðja við aðstandendur sem að missa ástvin. Þar að auki getur síðan veitt öllum áhugasömum upplýsingum og jafnvel verið verkfæri fyrir þá sem koma að málum sem snúa að ástvinamissi/andláti. Þessi lausn getur stuðlað að aukinni félagslegri heilsu og vellíðan hópsins.
Lýsing á lausninni okkar
Við hönnun á lausninni okkar notuðumst við mikið við Zoom og Facebook til þess að spjalla saman. Við notuðum Canvas við skipulagningu og framsetningu á efninu. Við notuðumst líka við samskiptaforritið Slack að einhverju leyti við teymismyndun, hugmyndaöflun og samskipti við stjórnendur viðburðarins.
Vefsíðan er enn í mótun en hún mun bjóða upp á ráðgjöf við ýmsa þætti sem þarf að huga að við fráfall ástvins. Hægt verður að skoða þær upplýsingar ókeypis en svo þarf að borga fyrir þá þjónustu sem viðskiptavinir óska eftir. Við notuðum Adobe Xd við vefsíðugerðina og Adobe Illustrator við gerð á logoum.
Hvernig varð hugmyndin okkar til?
Við hittum mentorana Andra Geirsson, Ósk Sigurðardóttur, Hildi Georgsdóttur, Þórönnu K. Jónsdóttur og Þórhildi Egilsdóttur. Þau voru okkur mikil hjálp í ýmsum ákvörðunum og komu með marga góða punkta.
Við gerðum Canvas skjal þar sem að við tókum saman aðalpunktana sem að þarf að hafa í huga við þetta verkefni svo sem greiningu á samstarfsaðilum, starfsemi, auðlindum, tengslum við viðskiptavini, markhópum, kostnaði og tekjum. Í teyminu okkar hefur einn meðlimur bakgrunn í grafískri hönnun og vefsíðugerð. Hann vann að prototype vefsíðu og gerði nokkur logo. Þar að auki gerðum við VRIO greiningu - þ.e.a.s. Auðlindagreining þar sem við punktuðum á hvaða hátt okkar verkefni skarar fram úr öðrum á einhvern hátt - Þar er skoðað; Verðmæti, fágæti, hermihættu, skipulag og samkeppnishæfni. Einnig gerðum við SVÓT greiningu sem var hjálpleg við að skoða veikleika okkar og kosti. SVÓT gagnaðist okkur við að átta okkur á því hvernig við gætum unnið á sem skipulegastan hátt sem teymi og hámarkað virknina og útkomuna. Einnig notuðum við Belbin við persónuleikagreiningu í teymisvinnunni.
Áhrif lausnar á krísuna
Það er gangur lífsins að alltaf mun fólk falla frá á hverjum tíma fyrir sig og því er alltaf þörf á aðstoð við andlát. Engu að síður hafa lukkulega ekki verið mörg
dauðsföll vegna Covid-19 hingað til á Íslandi sjáum við fyrir okkur að hægt væri að útfæra verkefnið yfir til fleiri landa. Grunnhugmynd þessa verkefnis kom til vegna þess að okkur fannst vanta auðveldara aðgengi ýmissa upplýsinga um almenn réttindi fólks svo sem námslánatöku, atvinnuleysisbætur og erfðarétt.
Þar sem að það liggur fyrir að margir hafa misst vinnu sína nýlega og margir munu sækja háskóla næsta haust myndi verkefnið okkar vera þeim hóp mikil hjálp.
Virði lausnar eftir krísuna
Lausnin sem að við höfum unnið að mun eiga fullt erindi við samfélagið eftir að krísunni líkur. Við þróuðum lausn við erfiðu aðgengi upplýsinga um hvernig skuli snúa sér við dauðsfall, og veltum fyrir okkur hvert sé fyrsta skrefið við atvinnuleit eftir atvinnumissi en sá partur ætti erindi við áframhald á hugmyndinni. Þessi vandamál munu alltaf verða til staðar í samfélaginu og eru því ekki einungis tengd Covid-19.
Einnig höfðum við hugsað okkur að gerð vefsíðu og gagnasöfnun gætu skapað ný störf fyrir sérfræðinga á sínu sviði.
Hvað er næsta skref?
Það sem að myndi aðallega vanta upp á til þess að halda áfram með verkefnið er fjármagn og samvinna með aðilum sem búa yfir sérfræðiþekkingu um erfðamál, og ef haldið yrði áfram með hugmyndina væri þörf á sérfræðiþekkingu um atvinnuleysi og nám/ námslán. Einnig þyrftum við að notendaprófa og taka viðtöl við fólk sem hefur misst ástvin og heyra hvað þeim fannst vanta af upplýsingum í ferlinu.
Our project
Our solution aims at the need of people that have lost a close relative and are not able to sorrow in peace because of all the practical things that must be done both before and after death, such as writing a will. Just as you can buy the services of a wedding planner, we have built a project around selling the services of a funeral planner.
Built With
adobe-illustrator
adobexd
icelandic
messenger
slack
zoom | Blessuð Minning | Blessuð minning er upplýsingavefsíða sem er ætluð til að leiða fólk í gegnum sorgarferli ástvinamissis. | ['Orlando Cappi Closs', 'Arnheiður Björnsdóttir', 'Andrea Olafsdottir', 'H. Júlía Júlíusdóttir'] | [] | ['adobe-illustrator', 'adobexd', 'icelandic', 'messenger', 'slack', 'zoom'] | 4 |
10,114 | https://devpost.com/software/augmenta | Opening Screen
Introduction Screen
Picture of the text book
Picture of the textbook when Augmenta Augments 3d Models on it.
Inspiration
*Due to COVID-19 almost one in four children living under lockdowns, social restrictions and school closures are dealing with feelings of anxiety, with many at risk of lasting psychological distress which is hindering the process of learning for children of small age group as they can not see the objects/words/letters or visualize them in real time.
*Feelings of helplessness, loneliness and fear of being socially excluded, stigmatized or separated from loved ones are common in any epidemic, while prolonged stress, boredom and social isolation, as well as a lack of outdoor play, can lead to a higher number of mental health conditions in children, such as anxiety.
What it does
Our main aim is create immersive visual prefabs or cues (3D Models) for ease in daily tutelage of young kids with Augmented Reality using Vuforia SDK on prexisting taken through camera input targets acquired by realtime image recognition
How I built it
*One of the base of our detection system is Image processing using an SDK Vuforia in Unity
*Using the Unity AR Core it detects the image and mounts 3d Models on it.
*The Dot Mapping on the image is done using the vuforia “feature select” feature which maps points on the target image to help in further augmentation
Challenges I ran into
*Adding textures to the 3D model
Animating the 3D Model
Accomplishments that I'm proud of
Learn to stimulate Models and build an app out of it in just 24hrs
What I learned
Using Unity AR core to make Augmented Reality App
What's next for Augmenta
Introducing Brain stimulation to check how the student is grasping.
Introducing Custom user editable model Input.
*Introducing Augmented screens for kids to watch educational movies.
Built With
assetstore
sketchfab
unity
unityar
vuforia
Try it out
github.com | Augmenta | Augmenta is a project which main aims to create immersive visual prefabs or cues (3D Models) with Augmented Reality using Vuforia SDK on preexisting targets using real-time image recognition | ['Anmol Srivastava', 'ISHAN KUMAR', 'Abhirup Chakraborty', 'Rishabh Chawla'] | [] | ['assetstore', 'sketchfab', 'unity', 'unityar', 'vuforia'] | 5 |
10,114 | https://devpost.com/software/medical-images-diagnosis-with-artificial-intelligence-dimai | Inspiration
DIMAI is a project created by a multidisciplinary team from Colombia, Mexico and Iceland, we have seen how families in our countries do not have the resources to take a Covid test, where you have to pay high prices and wait days or even weeks to receive the test result, and that is why we are working togueter with the aim of offering hospitals rapid diagnoses, without previous capacitation, without cutting medical personnel, with high precision and a low cost to all the countries around the world.
What it does
The system use artificial intelligence with a large number of chest x-ray images from hospitals and universities to find patterns printed on them, with the help of this analysis and deep learning, the artificial intelligence can give a fairly assertive diagnosis of pacient pathology witg just analyzing the x-ray. DIMAI analyzes the images and can detect if a patient has COVID-19 or other lung diseases, such as:
• Atelectasis
• Pleural effusion
• Pneumonia
And of course, healthy patients.
How we built it
For greater efficiency when used by hospitals, we decided to create a web platform in django, where users can use the system from any device connected to the internet, the system is linked to a neural network previously trained in python which receives the image of the patient and makes the analysis with the images of the database. After all this process, the medical professional receives the diagnosis from the patient.
Dimai was created to be completely user-friendly and easy to use, no training is required to use the system and also we add a chat bot created in dialgoflow to guide and answer the new user questions.
And the system architecture we use the MVT model for greater reliability for maintenance, updating and flexibility to changes that allow us to continuously improve the system model.
Challenges we ran into
The first problem we encountered was the collection of images of raffiagraphies to enter the neural network. In the last week we have accumulated a database of more than 100,000 radiographs and with 15 different pathologies, including those already specified.
The second most important that we have had is the hardware necessary to trian the neural network where we need a high GPU processing power for the immense amount of images that we have, this problem is also reflected in the web server where the server needs the capacity to run a previously trained neural network to achieve the expected results.
The third is the effectiveness of the algorithm, developing an algorithm capable of having an effectiveness of over 70% has been a complete challenge, the database is very large and there are biases in the data that cause problems when accurately predicting a diagnosis, we have investigated several algorithms of neural networks and continue to find improvements to make the system more precise and actually we have 50%.
The fourth problem is the investigation of the business model of the project, currently and as an objective we have contemplated the countries of Mexico, Colombia, Iceland and Europe as the initial market, where our biggest consumer would be the private hospitals that could contract the service more easily. In addition we decided for an on-demand model to reach the largest number of hospitals possible.
Accomplishments that we're proud of
We are proud of the work that we have done during this hackathon, we have developed a large part of the Web platform, we have made significant advances in the improvement of the artificial intelligence algorithm, we created a chatbot for new users of the system and we have improved our business model to expand our market.
And we are also proud of what this project and what it can achieve, we are not only fulfilling the need to carry out massive tests, but it will also help many people during and after this crisis, help the most needy countries, standardize a new way to diagnose lung diseases and help reduce the number of infections of medical personnel all countries in the world.
What we learned
We have learned many things developing this project, we have learned from the capabilities of neruonal networks and their interaction with massive amounts of data, we have improved our development skills and we have improved our analysis capabilities.
And we have also been able to learn to work as a team for a common goal, trust others and collaborate with people from other countries, despite the language and the schedule.
What's next for MEDICAL IMAGES DIAGNOSIS WITH ARTIFICIAL INTELLIGENCE DIMAI
We have high expectations of our project, and in the short term we will continue with the development of the algorithm to increase its effectiveness, we will finish a functional prototype of the web platform to test with our partners in Colombia as soon as possible, we will start visiting hospitals, universities and more centers of businesses that want to help our project, and finally we will continue to find colleagues who want to continue helping with our project.
Are you interested in our project or would you be interested in collaborating with us? Please contact us, we will be very happy to contact you.
Built With
css
django
html
javascript
python
tensorflow
Try it out
github.com
drive.google.com
drive.google.com
dimai.herokuapp.com | MEDICAL IMAGES DIAGNOSIS WITH ARTIFICIAL INTELLIGENCE DIMAI | DIMAI an artificial intelligence medical image analysis system that helps doctors in the diagnosis of respiratory diseases, with an almost instantaneous speed, low cost and high reliability. | ['Jhonatan David Giraldo Rodriguez', 'Roberto Escorcia', 'Safa Jemai', 'Diego B.P.', 'martingc2099'] | [] | ['css', 'django', 'html', 'javascript', 'python', 'tensorflow'] | 6 |
10,114 | https://devpost.com/software/c-trac-app-for-tracking-corona-hotspots | Inspiration
During this current COVID 19 pandemic, I see health worker is curing the patients, doctors are innovating new medicine, the police is controlling the crowd movement and even bus drivers are helping people to get back to home. As a future engineer, I felt like my contribution is none, so I felt motivated to do my part and try to bring a positive change and to make sure my product can also be used in a future pandemic.
problem our project solves
we all can agree that this pandemic needs to overs soon so as we can meet our loved ones, in order to contain this pandemic, the government is using CONTACT TRACING APPS ( CTAs ). Research says if contact tracing is done correctly it can reduce the number of case 3 folds, then why the number is still rising? , the problem with these CTAs is they only tell whether you have come in contact with an infected person or not, what it doesn't tell us that from where the person caught the infection ( the parent source ). let's take an example if there are two-person 'X' and 'Y' and Y got infected then X will get notified by the current CTAs that he might have got an infection as he came in contact with Y, but it doesn't tell from Which PLACE y got the infection, this is crucial as if we don,t find out that PLACE then many other people who had visited that PLACE may get the infection.
what our project does
Our project C-TRACK 1st of it's kind of reverse contact tracing app, so let me explain how Reverse contact tracing works, whenever the user visits a place too frequently like a shopping mall. then that particular location will be saved inside the app and if in future user found COVID +ve then we can track down that shopping mall, the app will also send a notification to all over people who have visited that exact shopping mall, now health authorities can sanitize and lockdown that specific shopping mall instead of locking down the whole locality. the location stored is fully encrypted and can only be accessed by the user. it also has two additional feature
1.) it sends 'wear mask ' notification when the user leaves then house and 'wash hand' notification when the user returns the house, this small precaution can bring a huge change by keeping you and everyone around you safe.
2.) whenever the user enters a government certificated hotspot or RedZone he will get a warning notification
Challenges I ran into
1,) we lack financial support as we have to make this app from scratch.
2.) the problem in collecting data regarding government-certified hotspot and also we have to do a lot of research regarding the spread pattern of COVID-19.
3.) It was hard for us to get in contact with health workers as they were busy fighting an increasing number of patients so we have to talk to retired doctors.
4.) It took us too long to use it in real-time as during lockdown it was too hard to go outside in the quarantine but finally, after lockdown loosens a bit we tested it and it gave an excellent result.
What I learned
All team members of C-TRACK were able to grow their area of competence by participating in the whole process of idea definition, market research, validation, prototyping, and presentation. Through different mentor sessions, we learned that problems could be approached by many means, but most importantly our mission should be clear.
What's next for C - TRAC App for tracking corona hotspots
our app can be used for a future pandemic or seasonal diseases such as swine flu or bird flu.
Built With
android
android-studio
java | C - TRACK 1st ever reverse contact tracing App | Our app is 1st reverse contact tracing app which locate the possible hotspots from the user location history and also 1st safety awareness system which notify user to ( wear mask ) and ( wash hand). | ['Anup Paikaray', 'Arnab Paikaray'] | [] | ['android', 'android-studio', 'java'] | 7 |
10,114 | https://devpost.com/software/health-leaders | Private Lodge
Private Lodge
Inspiration
We were taught at school subjects like mathematics, physics, how to make money, and how to work hard, but never how to take better care of ourselves. COVID-19 opened our eyes to how we, humans, are weak & vulnerable with endless people suffering from underlying health conditions that are extremely severe, either physically or mentally.
What do we do
We offer tailored plans of transformational retreats for physical & mental health issues, but with a twist, it's a lifetime journey and a global health movement with our online community where people with similar issues connect together, a lifetime of professional support, and access to courses and health improvement material which are tailored to the special needs of each individual.
Accomplishments that we are proud of
Over 18 sessions with the mentors! So many thanks to you all!
Feedback is unmatched! Just fabulous!
We made many priceless connections with people in the health and tourism industries, who cannot wait to support us with everything moving on, starting immediately after the hackathon.
What's next for Health Leaders
Trial Retreats, awareness building & rapid response to feedback collection, followed by the actual transformational retreats before the end of this year, 2020. | Health Leaders | A Life Journey of Transformation Retreats, An Online Community & A Health University | ['Sandra Surowik', 'Bara Abraham', 'Karina Gerszberg'] | [] | [] | 8 |
10,114 | https://devpost.com/software/covidcare-a-i-powered-digital-hospital-laboratory-sz71cv | Homepage
A.I Powered Diagnosis Test
Diagnosis Report
Patient & Doctor Room
Digital Nurse for booking doctor appointments and answering questions
A.I Monitored Doctor Consultation
Automated Prescription Report generated by A.I
Mental Health Test
Mental Relaxation Room
The problem your project solves
As the Coronavirus outbreak continues to engulf the globe, the world's scarce healthcare resources threatened to be overburdened. There is 1 doctor for every 666 patients and 2.7 hospital beds per 1,000 persons. This makes overcrowding of hospitals and burnout of healthcare workers a likely scenario. The lack of qualified health personnel in remote regions along with the high population density is a major concern as the world fights coronavirus. People need someone to guide them, assist them, listen to their problems, and help them feel relaxed. It is the need of the hour to assist hospitals and laboratories by reducing their burden, and offloading the patients to a digital hospital.
Which challenge are you solving?
We are solving the challenge "Innovation in healthcare."
The solution you bring to the table
Our platform provides a COVID-19 diagnostic test that will analyze the responses to the questions through integrated technology like computer vision for facial analysis, NLP to parse the user responses, location identification to calculate distance from the nearest COVID-19 cluster, and voice recognition. These technologies will help in generating the diagnosis report and determining the probability of a person having the Coronavirus. After completing the test, patients will have the option to visit the doctor’s room to get their report reviewed and get a consultation from the doctor instantly. The patients are sort according to the potential risk, and high-risk patients can book the COVID-19 physical test from our partnering labs directly from the platform. There are additional rooms like Mental Health Room, Nutritionist Room, Digital Nurse Room, and Reception Desk like an actual hospital, which altogether helps in assisting the patient through the current challenging time, and living a balanced and healthy life.
Which secondary solution are you solving?
What you have done during the weekend?
We have also integrated a digital gatekeeper in CovidCare which issues digital ID to employees. As offices reopen, the digital gatekeeper will help companies in deciding which employees work from home and which employees come to the office.
We have added nearest COVID-19 hotspot locator, nearest quarantine space finder, and nearest hospital finder using HERE maps
We have used Twilio's voice and video communication tools to enable group audio and video calls
We have built an Android app for the project, and are working on the iOS version
We have improved the algorithm of digital COVID-19 test and added in-depth A.I report to it.
We have connected the test with the digital hospital where we have added the A.I monitored realtime doctor consultation along with automated prescription.
We have integrated digital nurse to the digital hospital who can book the doctor appointments and assist the patient.
We have deployed the product we built online at:
https://www.covidcare.cloud
The solution’s impact to the crisis
In order to ensure every COVID-19 patient receives quality treatment, it is essential to offload workload to automated systems. The A.I powered digital hospital and coronavirus laboratory will help in performing millions of COVID-19 tests each minute and provide A.I monitored real-time doctor consultation to patients. We aim to provide quality healthcare to each and every individual across the country, which is not possible through traditional hospitals which are expensive to set up. The digital hospital and laboratory will provide the country’s best healthcare facilities to all the patients across different states through the power of A.I
The necessities in order to continue the project
We would need to on-board more doctors on the platform to ensure that we can provide consultation and assistance to all the patients in these tough times. Also, we would require COVID-19 positive patients to take our diagnostic test so we can fine-tune our testing algorithms.
The value of your solution(s) after the crisis
Initially, we are focusing on COVID-19 due to the current panic and increasing risk. But in the coming weeks, we would add more tests to our digital testing laboratory, which would be powered by the same A.I technology, which we are developing for our COVID-19 test. That way, by reusing the A.I technology, we can add many more tests like a general weekly health checkup, mental health checkup, diet checkup, etc. for the users of our platform. We have planned to keep all the diagnostic tests in the digital laboratory free of cost to bring a large number of users and help them alleviate the feeling of panic through an instant diagnosis. After finishing the diagnostic test, we will redirect the patients to the doctor’s room. The doctor consultation will be chargeable, which will be very inexpensive in comparison to the regular doctor fees due to the advantage of the bulk consultation bookings as compared to traditional hospitals, which can only serve a limited area based on their location. We would monitor the consultation using automated A.I for generating prescriptions and analyzing the doctor consultation in real-time to ensure that the experience was seamless and genuine for both the doctor and patients. Both the doctors and patients will have 24x7 access to their personal dashboard on the website from where they can contact each other, and access the reports, prescriptions, and other features.
The URL to the prototype
link
The URL to the pitch video
link
Built With
css3
html5
javascript
machine-learning
mongodb
node.js
tensorflow
Try it out
beta.covidcare.cloud | CovidCare - A.I powered Digital Hospital & Laboratory | An end-to-end digital hospital solution which helps a person from COVID-19 diagnosis to recovery | ['Deepesh Garg'] | [] | ['css3', 'html5', 'javascript', 'machine-learning', 'mongodb', 'node.js', 'tensorflow'] | 9 |
10,114 | https://devpost.com/software/protecting-vulnerable-job-seekers-from-fake-job-adverts | Inspiration
COVID-19 pandemic is affecting economies in every continent. Unemployment rates are spiking every single day with the United States reporting around 26 million people applying for unemployment benefits, which is the highest recorded in its long history, millions have been furloughed in the United Kingdom, and thousands have been laid off around the world.
These desperate times provides a perfect opportunity for online scammers to take advantage of the desperation and vulnerability of thousands and millions of people looking out for jobs. We see a steep rise in these fake job postings during COVID-19.
In the grand scheme of things, what may start off as a harmless fake job advert, has the potential of ending in human trafficking. We are trying to tackle this issue at the grassroot level.
What it does
We have designed a machine learning model that helps distinguish fake job adverts from genuine ones. We have trained six models and have drawn a comparison among them.
To portray how our ML model can be integrated into any job portal, we have designed a mobile application that shows the integration and can be viewed from the eyes of a job seeker.
Our mobile application has four features in particular:
1) Portfolio page: This page is the first page of the app post-login, which allows a job seeker to enter their employment history, much like any other job portal/app.
2) Forum: A discussion forum allowing job seekers from all around the world to share and gain advice
3) Job Finding: The main page of the app which allows job seekers to view postings that have been run through our Machine learning algorithm and have been marked as real adverts.
4) Chat feature: This feature allows job seekers to communicate with employers directly and discuss job postings and applications.
How we built it
We explored the data and provided insights into which industries are more affected and what are the critical red flags which can give away these fake postings. Then we applied machine learning models to predict how we can detect these counterfeit postings.
In further detail:
Data collection: We used an open source dataset that contained 17,880 job post details with 900 fraudulent ones.
Data visualisation: We visualised the data to understand if there were any key differences between real and fake job postings, such as if the number of words in fraud job postings was any lesser than real ones.
Data split: We then split the data into training and test sets.
Model Training: We trained various models such as Logistic regression, KNN, Random Forest etc. to see which model worked best for our data.
Model Evaluation: Using various classification parameters, we evaluated how well our models performed. For example, our Random Forest model had a roc_auc score of 0.76. We also evaluated how each model did in comparison to the others.
Immediate Impact
Especially during but also after COVID-19, our application would aim to relieve vulnerable job seekers from the fear of fake job adverts. By doing so, we would be re-focusing the time spent by job seekers onto job postings that are real, and hence, increase their chances of getting a job. An immediate consequence of this would be decreasing traffic onto fake job adverts which would hopefully, discourage scammers from posting fake job adverts too.
Police departments don’t have the resources to investigate these incidents, and it has to be a multi-million-dollar swindle before federal authorities get involved, so the scammers just keep getting away with it. Hence our solution saves millions of dollars and hours of investigation, whilst protecting the workers from getting scammed into fake jobs and misused information.
Revenue generated
Our Revenue model is based on:
1) Premium subscription availability to job seekers to apply for jobs
2) Revenue from the advertisements
3) Commission from the employers to post the jobs
Funding Split
1) Testing and Development: $ 10,000
2) Team Hire Costs: $ 2000
3) Patent Application Costs: $ 125
4) Further Licensing conversations: $ 225
TOTAL: $ 12,350
Future Goals
We would hope to partner up with LinkedIn or other job portals in a license agreement, to be able to integrate our machine learning model as a feature on their portal.
Built With
adobe
machine-learning
python
scikit-learn
Try it out
github.com | Protecting vulnerable job seekers from fake job adverts | Filtering our fake job adverts from existing job portals | ['Arun Venugopal', 'Aerica Singla', 'Arushi Madan'] | [] | ['adobe', 'machine-learning', 'python', 'scikit-learn'] | 10 |
10,114 | https://devpost.com/software/topic-2cw950 | Inspiration
Know the feeling of not being able to find anyone to talk to concerning a specific topic you are interested in? This is especially prone to happen during lockdowns caused by pandemics (current COVID-19) or living in scarcely populated areas.
What it does
Our solution helps people find and have constructive and informative conversations with other likeminded people and people with similar interests.
How we built it
Application will be available on Android platform and will support Android versions starting with 4.1. onwards, including 4.1. (Jelly Bean).
For the development of the application, Android studio IDE (Integrated development environment) shall be used. This technology is based on JetBrain’s IntelliJ Java technology.
Development of the server part shall be implemented using Microsoft Visual Studio, implemented in Java or C#.
Accomplishments that we're proud of
We have come up with a really fabulous and valuable solution that is very needed.
What we learned
We learned a lot on the way!
What's next for CoverTheTopic
Securing funding and expanding the team! Learning more, too!
Built With
android-studio-ide-(integrated-development-environment)-shall-be-used.-this-technology-is-based-on-jetbrain?s-intellij-java-technology.-development-of-the-server-part-shall-be-implemented-using-microsoft-visual-studio
c#.
including-4.1.-(jelly-bean).-for-the-development-of-the-application
java | CoverTheConvo | Have constructive conversations with likeminded people | ['Marin Kramer-Kelemović', 'Jurica Sestok', 'Anna Guðrún Thorlacius Erlingsdóttir'] | [] | ['android-studio-ide-(integrated-development-environment)-shall-be-used.-this-technology-is-based-on-jetbrain?s-intellij-java-technology.-development-of-the-server-part-shall-be-implemented-using-microsoft-visual-studio', 'c#.', 'including-4.1.-(jelly-bean).-for-the-development-of-the-application', 'java'] | 11 |
10,114 | https://devpost.com/software/nullta-stigs-heilbrigdisthjonusta | „Núllta“ stigs heilbrigðisþjónusta | „Núllta“ stigs heilbrigðisþjónusta | Aukum lífsgæði og spörum milljarða! Styðjum sjálfstæða einstaklinga og frestum því hvenær við förum á hjúkrunarheimili. | ['Ólafur Bogason'] | [] | [] | 12 |
10,114 | https://devpost.com/software/q-me | Inspiration
Tired of waiting in queue at temples, government offices, college registeration desk, etc we got to find a solution to this problem in a tradition that was rooted in Indian countryside.
What it does
This idea can be linked to an Indian tradition that we witnessed in Indian villages where people keep their slippers in long queues to assure their position in the queue and then estimate at what time should they come back, for the task. Our application does something similar. It is an app that helps a person to be present in a queue virtually. It issues a token to a person who wants to stand in the respective queue and also gives the person as estimated idea of when should he arrive at the place to avail the service. This all is done harnessing the power of internet and technology. The application notifies the person to arrive at the location just few minutes before his/her actual chance, hence saving a huge amount of time, that the person would have spent waiting in the queue. Moreover this application also felicitates the user by helping him make a more informed decision by making him available information about various providers of service near him, the information about various queues like the length of queue, the start time and end time of the service on various days, etc. Also in the current scenario of COVID-19 this application can act as a boon, because it can help people avoid crowded queues and can help follow the zen of social distancing.
How I built it
This all began with the problem that we faced in our daily life and the solution that we figured. Though the solution we earlier came up was amended on various instances to reach it current forms. We used Node.js, express and SQL to build a suitable application. We designed all the operational algorithms on the fly. Then we started to work on an flutter application so that the services of our backend can we rendered to the users.
Challenges I ran into
We faced issue with the server as it can't handle too many requests at the same time. While building the flutter app challanges we faced to implement the MVC architecture since this was my first flutter app that was production ready with BLOC architecture too.
Accomplishments that we are proud of
We created a production ready application that can help people save time, which is one of the most important resource. Not only that we also reduced the need of various companies, stores, service providers, etc to have separate websites or channels just for managing their appointments, which in turn would help them save money and put it to a better use. Moreover, the problem posed by COVID-19 is also being solved by our little effort. What can be a better accomplishment for college students like us than being able to help humanity in whatever small ways we could.
What I learned
We learnt about queue operation management and how big bussiness handle them so as to come up with the a suitable solution. We also gained knowledge about various thing in product development and coding front. We gained insights on how to make applications and load test them.
What's next for Q Me
We plan to create Q Me as a full fledged system for the future that provides access to all offline services to the user and provide them all benefits as mentioned above. We plan to turn this idea into an startup and are actively looking for funding. More features and offline enqueuing features are on our project plans and will be completed soon.
Built With
dart
flutter
mysql
node.js | Q Me | Online market place for all walk-in offline services | ['Piyush Chauhan', 'VatsalSin'] | [] | ['dart', 'flutter', 'mysql', 'node.js'] | 13 |
10,114 | https://devpost.com/software/auxilium-orxmsl | Inspiration
The world is currently facing a mental health crisis with 1 in every 4 adults living with some mental illness. This has lead to a huge upsurge in demand for mental health services, and many countries including Iceland facing difficulty in meeting that demand leading to people who require urgent services waiting too long. The inspiration for this project stems from the belief that there is an untapped market of mental health services, The Peer to Peer Market, which can help tremendously in alleviating the burden on the mental health service industry among a host of other benefits.
What it does
An app that anyone can register as either a helper or help seeker. If you are a helper you create a profile and register the type of problems you are qualified in helping others with (e.g depression, marriage, stress, ). There will be a verification system in the app and review system for all helpers. The helpers set and hourly rate for their services and wait to get matched with a help seeker.
From the patient side you register and list the issues you are currently facing. They then press "match me with a helper" and the built in algorithm in the app gives them a list of the most suitable counselors given their issues/background. Then through the built in chat system in the app they set up a meeting which can take place either face to face or through video conference call. After the service the patient reviews the helper.
How we built it
The app has not been built as of yet, but plans are already to get underway with a MVP as soon as possible.
Challenges we ran into
The greatest challenge will be to normalize the idea of people who are not educated or trained in mental health related fields to feel comfortable in not just offering their services but selling them.
Accomplishments that we're proud of
We have done extensive research on peer to peer support and found strong evidence validating its effectiveness in helping people going through mental illness.
The prototype is currently being developed and is close to completion
We surveyed 100 people and found overwhelming support of the idea, both from people who would be interested in using it to offer their services and seek help.
What we learned
There is a need for a company like Auxilium to create a secure marketplace for peer to peer social services. This will offer people needing help a new alternative that is a fraction of the price it costs to go to therapy.
There is a need for innovation in tackling the mental health crisis in the world.
What's next for Auxilium
Develop App, gain support from within mental health community to build, develop business plan, secure funding and launch. | Auxilium | The Peer to Peer Marketplace for Social Services | ['Gustav Magnusson', 'Erla Magnusdottir'] | [] | [] | 14 |
10,114 | https://devpost.com/software/flavours | Inspiration
I grew up in a household where there was constant food waste. My parents would always over purchase food, raising the grocery bill out of all proportion and having to frequently throw away food that had gone bad. After moving out, I quickly realized how important it is to manage your finances, and food is what almost all households spend the most money on. I wanted to create an application that can help all households manage their grocery shopping so they can easily use up the excess food in their refrigerator before purchasing more food, leading the older food to go to waste. This application would helping with the user with their finances as well as helping them find interesting food to cook.
What it does
Flavours will have a database where the user can search recipes, uncheck the ingredients he already has, and then add the remaining ingredients to the cart. The cart gathers all the ingredients between different recipes and creates a shopping list for the user. After shopping and cooking, the excess ingredients will be stored in a virtual refrigerator personalized for the user. The next time the user uses the software, he will be recommended recipes for which he already has some ingredients. After a few times, the virtual refrigerator becomes more like the actual food storage in the user’s home so the user can look up what he has at home through the software.
How I built it
Nextjs with typescript is the programming tools that we used. Before starting to program we listed all the functionality we would like our application to have. We used Adobe XD to create a UI/UX prototype.
Challenges I ran into
The remote factor of this hackathon made it more challenging. Normally we would all be grouped together, programming. This time however we needed to schedule time, places to meetup, and then try to program more at home.
We were also very new to creating a business plan and a marketing strategy. Before the hackathon we were mainly focused on the product. Trying to have a business plan and the marketing strategy in mind as we work on the product is quite harder, making us question which functions we should place priority on.
Accomplishments that I'm proud of
We are proud of having a basic prototype done in one weekend and a solid idea of what we want our application to be and what kind of problem we are solving with it.
What I learned
After discussing with a mentor we were told that the subscription based product that we had in mind might need more sources of income in order to be viable in the market. This was a new way of thinking that we learned a lot from.
This whole hackathon has been a great experience for us, learning all about the process of starting a business, finding investors, and creating a business plan. We are very happy that we participated and look forward to doing better in the future.
What's next for Flavours
We would like to implement a voice system that will read instructions out loud for the user, as well as communicating with the user when to go to the next step, repeat, start timer etc.
We conducted a survey among Icelandic people which showed us that over 50% of people only go grocery shopping 1-2 times a week. This shows great potential in implementing a meal planner where the user can schedule their meals throughout the week, finding recipes that reuse some ingredients, while still keeping the recipes fresh and interesting.
We would also like to implement a family account where multiple accounts in the same household are connected, and offer increased functionality and communication between the connected accounts
By collaborating with local grocery stores, we will be able to show the cost of the shopping list right in the application before the user goes shopping. We also want to include a function where the user can choose to have the ingredients delivered for extra cost, showing the price of all options to the user, where they can choose the most appropriate one for them.
Built With
adobexd
nextjs
typescript
Try it out
happy-banach-455b96.netlify.app | Flavours | Our application is a kitchen assistant. It will save you time and money by organizing an optimized shopping list to relieve stress and to prevent over purchase of food which often leads to food waste. | ['Alexander Freyr Sveinsson', 'GaddiSunshine', 'Nu Phan Quynh Do', 'Callista wang Jóhannsdóttir'] | [] | ['adobexd', 'nextjs', 'typescript'] | 15 |
10,114 | https://devpost.com/software/sesame-mobile-app-upz9bv | Inspiration
After talking to managers at stores in Lenox Mall, one of the largest shopping malls in Southeast, we learned that retail stores face two primary problems: either there are too many customers for the limited store capacity created by social distancing guidelines or stores lack customers altogether. Since the start of the pandemic, retail is facing the largest decline on record with a CNN estimating a 8.7% decrease in sales during March alone. Since consumer spending and retail comprise 70% of U.S. economic growth according to the U.S. Bureau of Economic Analysis, we wanted to find a safe way to encourage customers to return to retail stores, while preventing lines.
What it does
Sesame is a mobile app that benefits both consumers and corporations by allowing customers to reserve a timeslot for entry at retail stores for rewards. Consumers gain guaranteed entrance to stores upon arrival, B2C rewards, and confidence that their health is prioritized. Customers can enjoy features such as sanitation ratings, scheduling calendars, and seed rewards. Corporations can open without door attendants, automatically track crowd density, eliminate long lines, and galvanize new customer interest. Features like automatic people counting and QR code entry will help to maintain a safe store capacity without a door attendant.
How we built it
We designed the app in Figma which is a digital prototyping tool. This allowed us to make the UI for Sesame so that we can demonstrate how consumers and businesses will use our app.
Challenges we ran into
One of the challenges that we ran into was in considering the ability of all stores to use the app in order to determine the number of people in their stores. We were mainly working on using the automatic capacity counter feature for larger department stores or stores in the mall. These larger stores would have security cameras and struggle to place attendants at multiple entrances. However, we realized that some retail stores do not have security cameras. In response, we decided to create a manual count feature for stores without preexisting security cameras in order to allow attendants to keep track of crowd density and limit reservations if neccesary.
Accomplishments that we're proud of
We’re really proud of our app’s ability to eliminate attendants at the door. The automatic capacity counting feature using live security camera feed can be combined with QR code entry with a reservation in order to enter. Currently, stores have attendants at the door who manually count the number of people entering and serve as a bouncer. Large stores have even closed certain exits to limit the number of attendants required; limiting the number of entrances and exits could create dangerous traffic flow by placing people in close proximity to each other. We think that our app is a great way for large department stores to avoid using attendants and utilize more entrances and exits.
What we learned
Through our research, we learned that there are two different problems for stores: Social distancing measures are generating long lines at certain stores, while customers are sparse at other stores. Overcrowded stores pose a significant risk for transmission of COVID-19, but undercrowded stores risk bankruptcy. Sesame simultaneously solves both ends of the spectrum. We also learned that managers at companies like Guess, L'occitane, and UGG are interested in offering generous benefits to customers through reward platforms in order to tackle these problems.
What's next for Sesame Mobile App
Next, we hope to release it on the app store so that businesses and customers can begin to benefit from Sesame. We will launch a beta version for use at Lenox Mall in Atlanta and if successful will expand to other retailers and to major cities in the US like New York, Los Angeles, Houston, etc. Besides word of mouth, we plan to expand our consumer base with more advertising and referral codes to gain benefits for inviting their friends to the app. We will also release a Google Play version of Sesame to reach a larger consumer base around the US. After successfully implementing the retail version of our app we will create spinoffs of the Sesame app by creating Sesame for schools, leisure, fitness, parks, and personal care services.
Built With
figma
Try it out
www.figma.com
docs.google.com | Sesame Mobile App | As brands go bankrupt, the key to saving retail is the Sesame App. Sesame benefits consumers and corporations through time slot reservations for entry at retail stores in exchange for rewards. | ['Rohan Paturu', 'Rebecca Kalik', 'Ilene Lei'] | ['2nd Place Winner - New Projects Category'] | ['figma'] | 16 |
10,114 | https://devpost.com/software/time-of-value-ziarj5 | Inspiration: We realized that Covid 19 will provoke a worldwide crises, A lot of people lost already their job because of the lock down.
What it does: We diskussed what this crisis means for the society. Our answer is, change values and perspective
How I built it: We spoke and discussed together, we wrote down the most important ideas,
Challenges I ran into time problems language problems
Accomplishments that I'm proud of result
What I learned: Language, team building, making a video
What's next for Time of Value: new jobs
Built With
filmora9
Try it out
www.annegretnolte.com | Time of Value | Wealth and ways out of thecrisis can no longer be provided from outside. wealth must be generated from within. Substainability and return to regionalism are the goals for this time. | ['Sylvaine Anton-Scharapenko'] | [] | ['filmora9'] | 17 |
10,114 | https://devpost.com/software/welcome-app-xv4y65 | Inspiration
Covid-19 had a huge impact on the economy and tourism. People will not stop travelling but it is more dangerous for certain groups. This creates a need of new channels for tourism companies to offer their products and an opportunity to explore as people will not be able to travel with their loved ones.
What it does
Our product gives an opportunity for local business operators to offer their products to customers who are not traveling to Iceland - but their friends and families do. It also provides a great way to gain information of what to expect after arrival of your own travel and arrange things in advance.
How we built it
We build 3 user paths in the app, for a traveller (1) - who can purchase items and services or vouchers that he can pick up or use after arrival. A Greeter (2) - a person who can’t be with the traveler but want to make him feel welcome and less alone, A Seller (3) - a company account that is offering their products and services.
Challenges we ran into
The internet access and flight modes - This idea requires adapting to certain law rules in each country, if happens in tax free zones during layovers.
Languages are also a barrier as many people do not have fluent english and therefore the app may have to be developed in a range of languages.
Finding the right partners - New systems of use, products and services, a way to integrate it into a partners booking system
Building a new marketing strategy as nothing like this has been done before and it will take time for people to start using it and get used to it.
Accomplishments that we're proud of
Deep analysys of the product market potential in smaller and bigger scale. Creating a good video explanation. Developing 3 user paths for a traveller a greeter and a business partner. Creating user experience background with personas and basic research for potential partners.
What we learned
We have learnt that it's especially important to have a good working team relationship. All members of our team provide different skills but equally contribute to the project. At the beginning we struggled with this a little as workload was highly dependent on one team member, however, we learnt to equally distribute tasks and workload to progress faster and make the process more efficient.
What's next for Welcome App
Creating a clickable prototype to test user experience
Looking for local partners to offer their products
building a solid marketing strategy
To scale up the idea and expand the business to other locations and companies | Welcome App | Enables tourism companies sell products outside the country | ['Ania Wojcik', 'Tess Hudson'] | [] | [] | 18 |
10,114 | https://devpost.com/software/wecando-32y854 | Inspiration
COVID-19 has affected lives worldwide. There are various problems that have occurred in different sectors. Everyone needs to contribute their best to provide solutions. This hackathon is itself an inspiration for me to understand problems that people are facing in Iceland and do my bit to solve them.
I came across situation recently where I needed to repair my laptop. Due to lock down most of the service centers were closed. I got no help for 3 days and my work was outstanding. Then I came to know that my neighbor was a hardware engineer and she helped me to fix my laptop. I realized I could do something to know what skills people nearby me have. Helping each other out with our expertise would help the community and the country at large.
What it does
WeCanDo is an online platform, which connects the people in need to the people with expertise. It enables to search experts based on their skills,location,contact details and availability.
How I built it
The prototype of WeCanDo has been built using Mockups. This concept can be deployed as a web application/mobile app using javascript, nodejs, css and HTML5
Challenges I ran into
Understand various problems, identifying the problem by analyzing their impacts was a challenge to me.
Accomplishments that I'm proud of
Learnt blender, mockups and got the concept of solution ready.
What I learned
I am happy to have learnt about Iceland, its people, its geography, and its economy.
What's next for WeCanDo
I would like to take the project to the next level and develop WeCanDo to deploy it in real time environment. I would like to get inputs from mentors to understand and improve the project to make it more efficient and productive.
Built With
blender
mockups
Try it out
app.moqups.com | WeCanDo | Problem solving by connecting experts nearby | [] | [] | ['blender', 'mockups'] | 19 |
10,114 | https://devpost.com/software/frigg | Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Frigg
notblank | Frigg | notblank | ['Haraldur Björn Sigurðsson', 'Þorbjörg Snorradóttir', 'Ólafur Kjartansson'] | [] | [] | 20 |
10,114 | https://devpost.com/software/expluria-rauntima-upplysingar-til-ferdamanna | Expluria Operator Portal
Expluria software map
Inspiration
Thor Sigurdsson, Founder and CEO of
Expluria
, has been involved in the Icelandic travel industry for several years. When picking up tourists as driver/guide during his own tours in large busses and smaller, private tours. He saw the issue that lack of real-time information to travellers does cause here in Iceland.
What it does
Expluria
solution brings real-time information to travellers, helping them find
vehicles, send and receive notifications, change tours, and perform other actions solved today by
significant manual work and inefficient communication channels. We are enhancing the post-booking experience for travellers
Along with frequent cancellations, rebooking and reactions to other problems, this situation leads to an enormous amount of inefficient, repetitive work, including email and phone-based communication. This produces enormous waste in the value stream and is a leading cause of the negative (1-2 star) reviews received by tour operators, both of which Expluria can reduce in a measurable and rewarding way.
How I built it
It is built with the support of Amazon AWS web-services, both apps are built with react native, connect multiple API, Google Maps, and other vendors. Both the apps have been developed and are ready for
Android
and
Apple
Challenges I ran into
API connection and getting the correct information with select content and push notification in both apps.
Accomplishments that I'm proud of
Having one powerful Web Portal, and two react-native apps in beta.
What I learned
When you are developing a complex solution like this, that require connection to multiple sources, the time it can take is more than you usually expect.
What's next for Expluria?
As we have now our MVP out, next step is to get customers and feedback from them, as well as prepare overseas marketing and entrance for Expluria customers.
Try it out
expluria.com
expluria.io | Real-time information to travellers and tour operators | Expluria platform increases safety and solves everyday problems faced by travellers and professionals offering bus-based tours, with Real-time information to travellers and tour operators. | ['Thor Sigurdsson', 'Haukur Sveinsson'] | [] | [] | 21 |
10,114 | https://devpost.com/software/application-for-extraction-of-medicine-information | identification of the words through OCR
Home page
Selecting the desired image area
Detection of the exact Medicine and display of information
Choosing a language
Information in French language
Information in Hindi language
Inspiration
In the wake of Covid-19 the world is facing a major economic crisis. It is estimated that over 40-60 million people will be pushed into extreme poverty. Hence it is common need to not waste money unnecessarily. Healthcare sector is one of the most important and rapidly growing sectors in today’s world. With the changing lifestyle people need more medicines to cope up with the stress or any other disease. As a result, a lot of money is spent on medicines. Also, the medical waste generated is immense. According to World health Organization (WHO) the Health Care Waste Generation Rate (HCWGR) in the world is 2.5kg/bed/day. In India this rate is 1.55kg/bed/day. A major part of this waste is the medicines that we throw away because we do not have any information of them. This medical waste is increasing day by day endangering the planet. Our project addresses the same problem.
What it does
In this project we will be developing an application that will detect the medicines with the help of Optical Character Recognition (OCR). On the application we will be providing information such as name of the medicine, for which disease the medicine can be used, its dosage, the generic equivalent, the side effects, how to use medicine, how it works, price, and quick tips. This information can be extracted in several language such as English, Hindi,Marathi, French and German.
How we built it
Firstly, we found out the most common reason for the medical waste, which was, lack of information about the medicine. So, we found out the important points to display in our app and accordingly build our data base.
After that, we stated building our app through android-studio, as we didn’t knew much about it we took help of our mentors and through online videos.
Challenges we ran into
As we are students, initially we did not have much knowledge of app development but we learned many concepts in Java that were useful to us. The programming was a notch above us and there were a lot of bugs that required a lot of efforts to overcome. Also from the last two months our country is under complete lockdown, so there was no physical interaction between the team but we coordinated over the internet.
Accomplishments that we're proud of
We successfully recognized a text with the help of OCR. On the creation of database, we were able to display the relevant medical information on the application. Next task was the proper designing of the application. Finally, we added a few languages so that the application is user-friendly.
What we learned
Firstly, we learned to convert images to text in python. This was followed by the creation of database. The most important thing that we learned was application development. This required the knowledge of Java. We also learnt how to make an application compatible in various android versions. The ability to think critically and problem solving mindset were the by-products of our hard work.
What's next for Application for extraction of medicine information
In future we are planning to add a chat bot which will keep track of the user’s dosage and will notify the user to take a pill at provided time.
Even we can add the location of the nearest medical store and find out the availability of a medicine.
Built With
android-studio
image-crop-library
image-to-text-library
java
Try it out
github.com | Application for extraction of medicine information | An application to detect the exact medicine in real time through OCR and retrieve medicine information. | ['kshitij Kadam', 'Saumitra Godbole', 'Dhananjay Joijode', 'sameer karoshi'] | [] | ['android-studio', 'image-crop-library', 'image-to-text-library', 'java'] | 22 |
10,114 | https://devpost.com/software/coarona | Main Menu
Features
Visualizer
Visualizer in action (Non-AR)
Covid News
Social Distancing Guide in action
News in Augmented Reality
Resources in Augmented Reality
Buddy Bot - You Augmented Reality Assistant
Diagnosis
Inspiration
We had been working with Augmented reality for some time now. In India government launched an official app to tackle the situation but we felt like it wasn't enough. We wanted to build something that is fun, immersive and answers all your Corona Virus related needs
What it does
It has 8 features, (7 listed and 1 Easter egg)
1) Visualizer - It has both AR and non AR mode and you can toggle using just a simple toggle button. It allows user to visualize a society and add conditions to it using Images Targets (or buttons in non AR mode) and you can see people in your society interact and get infected and then maybe recover or die based on a chance.
2) Covid News - You can stay updated about Covid related news from around the world in both AR mode and non AR mode. (Also you can see the headlines scroll in the visualizer).
3) Resources - It lets you search for nearby Covid related places like food shelter, test center etc.
4) Safe Distancing Guide - You can use this to help you main safe distance from people nearby whenever you are outdoor, shows you 3 concentric circles in Augmented Reality overlaid on the ground. Each circle depicting the level of danger you are in.
5) Zone - In India government has declared different containment zones and have different set of restrictions on them. This feature automatically detects your location and tell you your zone. Moreover you can also manually check for any location in India
6)Diagnosis - We build an Augmented Reality assistant for you to interact with, you can use voice commands like hello, who are you and diagnosis. When asked for diagnosis you are presented a set of questions and your answer to those determine how likely you are to be infected and what your next steps should be. (Infermedica Api has been used here which uses Artificial Intelligence to make the diagnosis)
7) Statistics - It presents a 3D model of Maharashtra(an Indian State) to the user, when interacted with it shows you the Corona Virus related statics in particular district.
8) Easter Egg - When you click on our logo you are directed to a page where you can observe the structure on corona virus in Augmented reality. Different parts of it are labelled and its description is given.
How we built it
We used Unity along with Vuforia package for Augmented Reality. We further requested related data from various APIs as per the need of the features.
Challenges we ran into
To make an app that had so many features was an uphill task. Our Unity version kept crashing after the update. We had planned to make it more interactive but some SDKs were not compatible and worst of all, due to nation wide lock down we did not have access to cyber cafes to print out Image target to test our Visualizer, we had to do it through more cumbersome means.
Accomplishments that we're proud of
This App can be used by the general population for all their needs, whenever someone asks me a Covid related question I can ask them to just use my app. I feel like all things considered we did manage to make a complete one stop shop app.
What we learned
We learned to work in collaboration along with learning the usage of APIs and making them interact with Augmented Reality. We also worked with IBM Watson for audio commands in various parts of our app.
What's next for CoARona
Most of our features are focused on India as of now, we would like to take it global. We would further like to add language settings. We would further like to promote the local business through our resources feature to bring economy back on its feet.
Built With
mixamo
newsapi
unity
Try it out
drive.google.com | CoARona | A one stop shop AR app for all your Corona Virus related needs. | ['Akash Jha', 'Ashwani Kottapalli'] | [] | ['mixamo', 'newsapi', 'unity'] | 23 |
10,114 | https://devpost.com/software/upplifum-island | Logo
Hugmynd
Við ætlum okkur að aðstoða einangrað fólk við að upplifa Ísland með notkun á sýndarveruleika. Sama hver ástæðan er fyrir einangruninni, hvort sem það er Covid-19, félagsfælni, veikindi eða elli þá ættu allir að hafa möguleikann á að upplifa ísland. Skapa jafnt aðgengi allra að íslenskri upplifun með aðstoð sýndarveruleika tækni, Koma hreyfihömluðu fólki upp á fjallstinda og langveikum aftur á heimaslóðir svo fátt sé nefnt..
Þetta verkefni mun halda áfram af fullum krafti að aðstoða fólk sem lifir við félagslega einangrun þó svo að þessi krísa gangi yfir. Okkar trú er sú að aðstoða megi ótal marga aðila í komandi framtíð með notkun sýndarveruleikatækni. Ásamt velferðar kostinum mun einnig sitja eftir gullkista af íslensku myndefni sem nota má á margvíslega vegu í nánustu framtíð. Sem dæmi um notagildi eru möguleikar í ferðaþjónustu, auglýsinga gerð, kennslustofum, kvikmyndagerð og margt fleira, en aðal djásnið í gagnabankanum er náttúrulega varðveiting Íslands í sinni núverandi mynd.
(The effects of virtual reality on mental wellness:
link
)
Áskoranir
Ekki mikið til af Íslensku myndefni sem styður við sýndaveruleika tækni.
Við erum stolt
Að hafa fundið lausn sem veitir öllum jafnt aðgengi að íslenskri upplifun ásamt því að skapa ný störf í ört vaxandi iðnaði.
Hvað við höfum lært
Að þróun sýndarveruleika er kominn talsvert lengra en við reiknuðum með í upphafi og nýting þess er aukast gífurlega hratt.
Hvert er framhaldið fyrir Upplifum Ísland
Að útvega fjármagni og koma verkefninu á fót í samstarfi við stofnanir og framtíðar notendur.
Built With
adobe-after-effects
adobe-character-animator
adobe-premear | Upplifum Ísland | Skapa jafnt aðgengi allra að íslenskri upplifun með aðstoð sýndarveruleika tækni. | ['Sigrún María Jónsdóttir', 'Daníel Finnbogason', 'Hilmar Þór Pétursson', 'Eyþór Dan Sigurðsson'] | [] | ['adobe-after-effects', 'adobe-character-animator', 'adobe-premear'] | 24 |
10,114 | https://devpost.com/software/endurnyting-affallsvatns-jardvarmavirkjana | Inspiration
We were greatly inspired by Icelandic nature and the possibilities of national self-sustainability in the face of a crisis such as this pandemic.
What it does
We want to make Iceland more sustainable when it comes to food production and energy usage. We want to help Iceland produce more fruits and vegetables instead of importing them, making it less dependent on other countries and more prepared to tackle difficulties in importation that might arise during a crisis. With more greenhouses we could produce more healthy local produce with a smaller carbon footprint than meat, poultry, fish, or imported greens. We want to use warm water that would otherwise be dispelled into the ground or ocean making our energy use even more efficient. The greenhouses would create jobs both regarding their construction and operation.
How I built it
By researching relevant information online and contacting experts within the field of energy and greenhouse ergonomics, gathering information regarding the hot water used to heat up greenhouses, and the amount used over a year.
Challenges I ran into
Researching and contacting energy firms and greenhouses was difficult, due to the bulk of the project having taken place over the weekend when no one was available to contact.
The financial side of the project was also difficult to roughly estimate due to the lack of general information regarding the cost of land and resources to complete the project presentation.
Accomplishments that I'm proud of
Finishing within the given time limit. All of the work we are submitting has been done over the course of this weekend, everything from coming up with the idea to its development.
What I learned
We learned a great deal about researching for real-world projects, conducting field research as well as online.
What's next for Endurnýting affallsvatns jarðvarmavirkjana
To continue the project we will need formal verification from the geothermal power plants regarding the amount and temperature of the water that is dispelled and fully design the greenhouses and their controls. Of Course we will need to secure fundings and apply for permits.
Try it out
www.dropbox.com | Endurnýting affallsvatns jarðvarmavirkjana | In this project, we propose a solution to the possibility of food shortages and unemployment due to conflict or closed borders during a crisis such as this by increasing our self sustainability. | ['Halldór Stefán Laxdal', 'Anna Eze', 'Nína Lea Z. Jónsdóttir'] | [] | [] | 25 |
10,114 | https://devpost.com/software/grademic | Inspiration
Most of education materials and curriculum has been made available by teacher or school on MOOC such as Moodle. Yet not all parents is familiar with it.
What it does
Without training on how to use Moodle, parents able to conduct home-based schooling.
How I built it
Create a bot interface so that parent or student can interact with Moodle without training on how to use it.
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Grademic
Built With
diagflow
moodle | Grademic | Bot helping parents during homeschooling | ['Ronald Simon'] | [] | ['diagflow', 'moodle'] | 26 |
10,114 | https://devpost.com/software/iceland-technology-city | Inspiration
Recent events like COVID19 and its consequences directly hit some of our families and we wanted to do something to improve the general situation in Iceland, particularly focusing in employment. As passionate people about tech, AI and robotics we came with a bold idea that will help us find a new balanced sector.
What it does
We are going to build a technology center, with a focus on robotics, as big as a city where companies of autonomous vehicles will be able to highly accelerate the speed at which their vehicles learn how to drive in a real world city with streets, highways, urban furniture, other vehicles and whatever necessary.
How we built it
Our project will require cooperation from the Icelandic government and other third parties. It will be composed of phases that will be economically viable by themselves. The financing will come from diverse sources including the Icelandic government and tech companies.
Challenges I ran into
Besides more usual risks like the conversion rates, financing and competition we also have very specific risks like the location of the city and the local regulations.
Accomplishments that I'm proud of
We managed to come up with this project that will generate lots of new jobs, stimulate growth of our economy and will help making Iceland a place where our kids could stay in the future.
What I learned
That this crazy and bold idea we had is actually feasible and that, if everything goes right, a small event as a Hackaton can actually become a tool for improving a whole country.
What's next for Iceland Technology City
We have lots of ideas that could be developed in parallel with the "High Speed Real World Learning for AI driven devices" feature and also other ideas that will become possible after the Technological Center matures in a few years. Who wants to go to Mars? | Iceland Technology City | Hight speed real world learning for AI driven devices in a robotics focused Technology Center sized as a City | ['Vicente Carro Fernandez', 'Ómar Hermannsson'] | [] | [] | 27 |
10,114 | https://devpost.com/software/movamin-gnc5jo | The problem your project solves
The COVID-19 pandemic has disrupted our notion of normality.
With many countries implementing lockdown and social distance measures, citizens join the efforts of front line workers to tackle the virus by following a simple, yet powerful motto: STAY HOME, SAVE LIVES.
This means that thousands of workers used to work in offices and other traditional spaces have transitioned to remote work from their homes.
Their daily routine has been deeply impacted: they don’t walk or cycle to work, they don’t have lunch break with their colleagues, they don’t gather in a room for a meeting or take a coffee break. Professions that are usually sedentary, now are even more so. People spend more time sitting in front of their computer, with a toll on their health.
In addition, all this happens in a context where stress and anxiety levels are on the rise because of the COVID-19 situation.
Companies are more than ever are concerned about their employees well being. Social isolation, unbalanced work routine which causes increased sick leaves, unhealthy stress and burnout. This will affect productivity which costs 700K ISK per employee each year in the UK.
The solution you bring to the table (including technical details, architecture, tools used)
The MOVAMIN team unites 6 world citizens who are passionate about healthy wellbeing. Our roots come from Iceland, Bulgaria, Lithuania and Ghana.
Movamin’s mission is to create and sustain a healthy, balanced and productive work culture.
We have designed a web based desktop app for organisations. Though still the main focus will be their staff members who will have quick and specific advice on how to improve their wellbeing in the following three domains: social, mental and physical.
As the first step we would like to focus on helping healthcare organisations in Iceland who are in high need for support. Doctors usually sit 70% of their working hours in front of the computers. Pandemic brought much more workload on healthcare systems.
At a later stage we would approach other organisations.
At the moment prototype is designed for Windows users. We used language C#, .Net framework and Telerik Rad Controls for WinForms.
The product provides notifications and an empathic chatbot assistant (buddy) that can be customizable in areas of interest and by time of the day, so the user can adapt the suggestions to their work hours and commitments.
There are different levels of intensity, but the tone is always positive and friendly. Under the current context, our product aims to avoid additional stress or anxiety in users but to bring awareness to social, mental and physical health.
The main characteristic of the solution can be summarised in:
Company’s HR manager will have customisation options and have access to admin roles to manage internal supportive and rewarding wellbeing programmes.
Actions required from the user are quick, so that they can easily continue with their work
It is customizable for each user, so that they can choose when to participate and in which areas, so that they don’t get notifications that they don’t need or in a time that is not suitable for them
Has a holistic vision of health, including physical, mental and social (there are no equivalent desktop app in the market of such)
Is supportive: the tone of the notification and chatbot is positive, non-pushing, empathic. It acts as a “buddy”
Encourages teamwork while participating in team challenges and specific actions that encourage interaction between teammates
It recognises activity on Zoom / Teams meeting to be displayed after a possible meeting to suggest a break
Has been designed under the specific covid-19 context, so we aim to encourage people and not create additional stress. Our message is positive.
According to our market research, there are many mobile apps focused on health, wellbeing or social interaction. As for desktop, options are limited. However, none of them offer a holistic approach to wellbeing, while we include three areas that are vital for a healthy lifestyle: physical, mental and social (which we consider fundamental under and after a lockdown context).
In addition, there is a limited offer of desktop versions that can be targeted for companies to include in their wellbeing programmes.
Finally, none of them uses chat bot incorporated with smart technology to focus on the user’s particular needs.
What you have done during the weekend
We have strengthened our multicultural team with an expert in therapeutic work.
With the help of the mentors and information gathered on research we adapted the original idea to focus firstly on Icelandic companies which have staff who are remote knowledge workers and who are in their 40s, want to keep active and are socially isolated. We have also identified the possibility to support senior citizens, disabled people and medical personnel through municipalities and unions.
With very valuable insight from mentors we have now a stronger ground for preparation of marketing strategy and improved our business plan.
The solution’s impact to the crisis
While workers adapt to this new scenario of remote work, feeling social isolation, stress in uncertainty and “new norm”, Movamin helps companies to have sustainable wellness programme easily integrated, customisable, with low cost and high impact. It is a tool that takes care of their staff members' health in three aspects: social, mental and physical. Users are encouraged to take quick actions that don’t interfere with their work responsibilities but have a tremendous impact in their wellbeing, like:
Do a 2 minute exercise to stretch their back muscles
Remember to ask a colleague about their day and how they are doing
Do a breathing exercise to help with anxiety after a long meeting
Remember to stop for lunch
Remember to call a friend
Participate in challenges to do basic healthy actions with a teammate
One of the key differentiators of MOVAMIN is an empathic buddy (chat bot) who will support in building a healthy work routine for each staff member.
The necessities in order to continue the project
Closest steps include:
Continued work on prototype
Organisation of testing with users and few partner companies
In order to continue the project, we will need financing to carry on with the development of the remaining features, including:
more options to personalize user profile and adapt the tips and suggestions displayed
company administration feature for management wellness programme
integration with other products like calendar or zoom to identify the best time to display notifications
strengthen technically the element of notifications (chat bot) concerning Calm Technology features
make it compatible with iOS
We also need to:
Create more content for the different activities (physical, mental and social)
Support further development of Business model
Implement marketing campaigns to reach the desired audience
The value of your solution(s) after the crisis
After the crisis, this can be marketed to a wider range of organisations, such as IT, telecommunication, finances and other. Companies can include this product into their wellbeing policies to support their staff in their return to the office space once the restrictions are over, in order to cope with anxiety or stress.
There are more and more companies rethinking their strategy and to be more open to offer their staff members the possibility to work remotely and it may become “new normal”. There will be a huge need for a sustainable wellness programme approach in organisations.
This solution can help many companies and people transition back into their work routines.
In later stages marketing strategy can be targeted to busy workers or those who don’t have a proper work space at home.
Built With
.net-framework
c#
telerik
Try it out
www.siriusart.bg | MOVAMIN | Movamin is the key to your company’s wellness. Create a healthier work routine. Via notifications and empathic chat bot your staff will improve their health in 3 dimensions: social, mental & physical. | ['eka lenny', 'Denitsa Toncheva', 'Anna Dúa Kristjánsdóttir', 'Justina Pluktaite', 'adjoa akowuah'] | [] | ['.net-framework', 'c#', 'telerik'] | 28 |
10,114 | https://devpost.com/software/hypnotunity | What was our inspiration?
Erlendur, Sarah, and Sonja met while doing their Master's in Innovation Management at Reykjavik University. The idea was born in one of their classes where they had to create a start-up.
The inspiration for the idea came from one of the co-founders who knows people that overcame addictions with hypnotherapy and could not understand why not more people were using hypnosis to treat addiction. She happened to sit next to one of the other founders in class whose mother happens to be a hypnotherapist. Lucky moment!
Overall, we want to help people with all kinds of behavioral addictions but we are starting with social media addiction because it is a very current and growing issue. The most affected group of social media addiction is young women and we feel motivated to help them and others all around the world.
What is the goal for
hypnotunity
?
hypnotunity
's goal is to empower people to overcome their addictions by providing them with a unique tool they can use from the comfort of their own home: virtual reality hypnotherapy. This will allow our customers to lead a more grounded and healthy lifestyle, both physically and mentally.
How will we build
hypnotunity
?
The solution is currently in the development stage. The first steps are to create hypnotherapy sessions with our hypnotherapist partner and begin testing in collaboration with Reykjavik University.
What are the challenges we have run into?
We believe that our main challenge will be to convince potential customers to purchase VR goggles.
What are we most proud of?
We are proud of having a hypnotherapist partner on our team and to be taking the first step out of school by competing in this Hackathon. :)
What have we learned so far?
We have learned how to collaborate in a multi-cultural team through online platforms and are learning how to get answers to questions we do not know.
Built With
applicaiton
hypnosis
mobile
vr | hypnotunity | virtual reality hypnotherapy to treat social media addiction | ['Erlendur Stefánsson', 'Sonja Davidsdottir Huff', 'Sarah Eichbaum'] | [] | ['applicaiton', 'hypnosis', 'mobile', 'vr'] | 29 |
10,114 | https://devpost.com/software/immunolynk | Cover
Cloud Infrastructure
Healthcare Administrator Interface - Dashboard View
Healthcare Administrator Interface - Employee Tracking View
Mobile Application - Sign Up Page
Mobile Application - Risk Assessment Questionnaire
Mobile Application - Symptom Survey
Mobile Application - Test Scanning Screen
Mobile Application - Calculation Splash Screen
Mobile Application - Sample "True Immunity" Score Screen
About
Antibody tests are the key -- but only with intelligent guidance.
Rapid antibody tests have the potential to
empower frontline healthcare workers
. With a simple finger-prick, they have the power to
identify immunity in just 15 minutes
. And combined with wide-scale deployment, they have the ability to deliver
crucial insights
to hospitals and governments in the battle against the pandemic.
But without the proper tools, this potential will remain untapped. We must overcome three key barriers to harness the power of immunity testing:
Uncertainty
- Hospitals must be strategic in their test deployment. Timing is critical -- if the test is performed too soon after exposure to the virus,
the results can be completely inaccurate
. And even with perfect timing, lateral flow immunoassays have a PPV of as low as 55%— a dangerous shortcoming if not augmented with data on individual exposure risk.
Disorganisation
- Health care workers will need to be retested at regular intervals. This is
essential to combat the scientific uncertainty surrounding sustained immunity
and the variable accuracy of current tests. An easy-to-implement, easy-to-use, and interoperable platform is vital for tracking this unprecedented volume of immunity tests.
Privacy Concerns
- Healthcare workers need to feel confident that their data is secure. Immunity results must not only be FDA and HIPAA-compliant, but stored by an entity that users can trust won’t use it for the wrong reasons — now and forever.
Introducing ImmunoLynk
Effortless + Trustless = Fearless.
Healthcare workers use our mobile app to take a photo of their immunity test results. Our image classification algorithm, built on Keras over a ResNet50 model, automatically reads the test result as accurately as a physician, removing any possible user interference. The corresponding photo, test result and metadata are stored securely on a corresponding IPFS Blockchain node, guaranteeing the test validity and immutability.
The virus can adapt—so can we.
Healthcare workers fill out a brief, but thorough, questionnaire about their potential exposure risk factors. Combined with daily symptom surveys and hyper-local prevalence data, our proprietary machine-learning algorithm determines the ideal time to administer an antibody test. The result is fed into a Bayesian regression model, resulting in a single, easy-to-understand “True Immunity” score. This multimodal data integration overcomes the inherent sensitivity and specificity limitations of immunoassays, creating a tailored diagnostic test capable of accurately conveying the amount of uncertainty. Best of all, all logs are immutable, distributed, and instantaneous — so healthcare workers can worry less about the privacy of our data, and more about conquering the crisis.
We scale with the pandemic.
As our network of healthcare workers and the number of completed antibody tests grow, so does the strength of our algorithms. Our blockchain operating expenses cap at the ultra-low-cost of $25/month per healthcare facility, regardless of the number of employees or tests. IPFS nodes can be deployed and run completely on cloud elastic containers, presenting no additional data transfer, data storage, or uptime cost fees. Every machine learning evaluation is processed through an optimized gateway server so requests are readily processed and delivered to the Blockchain.
Connecting the world so we can reconnect.
Widespread adoption of the ImmunoLynk platform can effectively construct a distributed worldwide research network, creating the largest-ever study on the time-course of COVID-19 and its respective antibodies. This could provide the key data necessary to intelligently lift quarantine restrictions alongside community immunity testing, as well as prepare for future pandemics.
Caring for healthcare.
Priority allocation of immunity tests to healthcare workers aligns with European Centre for Disease Prevention and Control (ECDC) and Centers for Disease Control (CDC) recommendations, and with ImmunoLynk's help, it can put health providers' minds at ease. They can care for patients, perform procedures, and return home to their loved ones with less worry about contracting or communicating the virus. Our U.S. Equal Employment Opportunity Commission (EEOC) and American Disabilities Act (ADA)-compliant dashboard software for administrators also permits easy-to-implement tracking of employee symptoms and immunity tests, allowing them to strategically tackle staffing shortages in the wake of looming surges.
What we have done over the past few weeks
By integrating two initially discrete teams based around the globe and collaborating across diverse areas of expertise, we developed a feasible solution for the problems presented above in the context of a realistic business plan. These teams initially connected as participants in the
MIT COVID-19 Hackathon
, where one was announced a
winner of the challenge
. This joint team was subsequently named the
first prize winner
in the
Lumiata COVID-19 Global AI Hackathon
.
So far, we have created a working prototype of (1) a mobile app dashboard connected to a gateway server that (2) leverages machine learning to (3) combine questionnaire answers, location data and antibody test results to provide users with a "True Immunity" score registered to IPFS Blockchain.
(1) - The mobile app uses Expo.io API with React components to interact with users. It consists of a login and registration page, a symptom and risk questionnaire, and finally a test scanning section. This
interface is currently functional
. It takes a photo of the test placed on a QR barcode, sends it to a Gateway server, and displays the processed test result with an access link to the blockchain data.
(2) - The gateway server was built using the
lightweight Flask framework
with an exposed REST API, which receives both images and data from two distinct endpoints. Images are then submitted through the Keras model and, ultimately, uploaded along with the result and metadata to the
IPFS Blockchain node through Infura's API
.
(3) - Our image processing pipeline was built with Tensorflow, Keras and OpenCV2 on the ResNet-50 architectural network. It was extensively optimized to achieve an
accuracy rate of 91.8% for reading & recognizing the test result (a rate either very near to or better than the human baseline)
for feeding forward to the Bayesian Hierarchical Model.
We have also partnered with healthcare providers to gain access to anonymized symptom and exposure risk questionnaire data linked to antibody test results. This allows us to now predict infection with some degree of certainty purely from questionnaire data.
Our solution’s impact on the crisis
Accelerates the antibody testing process.
The manufacturing capacity of inexpensive and accurate lateral flow immunoassays is increasing exponentially, shifting the bottleneck from test availability to test administration rate. ImmunoLynk enables decentralized testing, alleviating the burden on hospital departments and research facilities. Our effortless data collection platform is woven into a privacy-focused decentralized storage solution, the nature of which was
recently promoted by hundreds of scientists
and
endorsed by Apple and Google
. This data is impossible to alter, hack, or forge by any bad actors.
Helps answer the question: Do antibodies provide immunity?
Studies of the effects of direct exposure of people who have previously caught COVID-19
are being planned
, but are fraught with ethical concerns and high associated costs. By collecting data on healthcare workers, one of the highest risk populations, ImmunoLynk can assess whether there is a substantial reinfection rate and if higher levels of antibodies can reduce that rate. This is a key question that needs to be addressed prior to the implementation of any wide-scale immunity-based solutions.
Inform the immunity passport debate and provide solutions.
As we assess the protective effect of antibodies against reinfection, we can provide much-needed information on whether immunity passports would have a significant societal benefit. Our decentralized storage of information would also make passport data safe and immutable.
The value of our solution after the crisis
Our systemized data from tracking antibody levels & predicting the level of immunity will remain important for possible
future waves of COVID-19 over the coming months to years
. It will also help to determine if antibody count actually confers immunity and, if so, to what extent. Even as large scale vaccinations are rolled out, our solution could easily be deployed for individuals to assess their immune response.
ImmunoLynk is just as applicable to other pandemics
for which lateral flow immunoassays are widely used, such as malaria, hepatitis, and dengue. ImmunoLynk can also help
aid diagnosis of an active illness
if adapted to use antigen immunoassays. Both could even be incorporated into a single test.
At the US level, our use of decentralized technology is in line with the nature of the
The Cures Act
, which "aims to empower Americans with their health data, delivered conveniently to computers, cell phones, and mobile applications". We are actively pursuing integration with the standardized API denoted in The Cures Act. Moreover, it allows a platform for managers to silo their employee's healthcare information,
a requirement of the ADA
. This easy-to-deploy management of healthcare information is
massively scalable to outside industries
, such as nursing homes, factories, travel & hospitality, and so much more.
At the EU level, our use of decentralized technology will be instrumental in advancing the
EU’s health data sharing initiative.
The European Commission has previously recommended that, in order to make further progress in interoperability, developments in digital technologies such as artificial intelligence, high-performance computing, decentralized technologies, and cybersecurity solutions should be carried out, noting that it would
increase trust and general feelings of accountability in government
.
Globally, our approach of tapping into a constant stream of data will
greatly benefit research specifically linked to antibody testing (e.g. virology) and, more generally, immunity.
Considering healthcare workers experience the most regular exposure to COVID-19, they are arguably the best individuals for identifying correlations & trends in the study of immunity. Epidemiologists could also use our data for pandemic modeling (SIR & SEIR), allowing
better preparation for future pandemics
. Lastly, it could
propel future healthcare adoption of blockchain technology
— possibly dispelling the popular notion that it is only useful in cryptocurrency, financial technology, & supply chain management.
What's next?
We need more images of lateral flow immunoassays
to improve the accuracy of our image classification algorithm. We already have thousands of images of lateral flow immunoassays, but more images of positive results and of assays from different manufacturers will help to ensure maximum reliability of our ResNet-50-based CNN classifier.
We need more questionnaire answers
linked to immunity test results to improve our prediction algorithm. We are in discussions with UC Berkeley (The University of California, Berkeley) and UCSF (The University of California, San Francisco) to utilize our platform in their large scale studies to further improve our prediction algorithm. We have also been collaborating with
COV-CLEAR
for the integration of our platform into their clinical trials in the UK.
We need introductions to hospital administrators and government officials
. Our market research demonstrates considerable widespread interest in a platform like ours that streamlines and improves the testing process; we just need the opportunity to prove that our system works and iron out any minor problems. We are currently working with Lumiata to introduce our platform to one of their healthcare partners.
Built With
amazon-web-services
blockchain
expo.io
flask
infura
ipfs
javascript
keras
opencv
python
react
react-native
resnet
tensorflow
Try it out
immunolynk.com
github.com
github.com
github.com
github.com
immunolynk.herokuapp.com | ImmunoLynk | Immunity testing meets AI + Blockchain. | ['Anurag Koyyada', 'Veeresh Shringari', 'Niamh Higgins | ImmunoLynk', 'Kaue Cano', 'Ruan Comelli', 'Matheus Tosta', 'Dmytro Ustianenko, PhD', 'Khush Tawar', 'Shivam Vedak', 'Excellence Ilesanmi', 'Tai Wu', 'Claudio Vilas Boas', 'Claire Louise Donnat', 'Frederick De St Pierre Bunbury'] | ['2nd place', 'First Prize, $10,000 and idea productionalized', 'Global SOS Finalist - Everything Remote Track'] | ['amazon-web-services', 'blockchain', 'expo.io', 'flask', 'infura', 'ipfs', 'javascript', 'keras', 'opencv', 'python', 'react', 'react-native', 'resnet', 'tensorflow'] | 30 |
10,114 | https://devpost.com/software/hjartaland-tengslasetur-dysmzx | Inspiration
Innblástur að verkefninu kemur út frá fyrirbyggjandi vægi þess njóta tengsla, sér í lagi hvaða þýðingu það hefur fyrir ung börn að eiga í örugg tengsl við umönnunaraðila fyrstu æviárin. Þá gefst dýrmætt tækifæri til þroska þar sem börn geta prófað sig áfam, lært á eigin tilfinningar og viðbrögð með örugga höfn í sjónmáli. Tengsl eru ekki síður mikilvæg fyrir þá sem eldri eru en tengsl eru forsenda þess að búa við góða heilsu og velferð.
What it does
Er vettvangur fyrir samveru fjölskyldna þar sem í boði verða margskonar upplifanir sem styðja við sköpun og slökun barna og ummönnunaraðila.
How I built it
Þjónustunni má skipta niður í fjóra þætti og verður byggt á áskriftarkerfi
Opið rými til leiks og samveru
Tímar í stundatöflu sem miða að slakandi og skapandi tímum fyrir foreldra og börn.
Námskeið og fræðsla frá sérfræðingum um það sem við kemur foreldrahlutverkinu.
Viðtalstímar hjá iðjuþjálfa
Challenges I ran into
Okkar stærsta áskorun til að geta byrjað er að finna hentugt húsnæði á viðráðanlegu verði á meðan setrið nær fótfestu.
Accomplishments that I'm proud of
Að fara út fyrir þægindarammann og taka þátt í Hakkaþoni!
What I learned
Hversu hjálplegt það er að geta leitað til mentora og hversu margir eru reiðbúnir að hjálpa og veita góð ráð.
What's next for Hjartaland - tengslasetur
Að eiga samtal við sveitarfélög og ríki um stuðning þeirra til byrja að þróa þjónustuna og sjá hver þörfin er í raun og veru. Til viðbótar að byrja að halda viðburði til að gefa fjölskyldum innsýn inn í þá tíma sem verða í stundartöflu Hjartalands. | Hjartaland - tengslasetur | Hjartaland er setur fyrir fjölskyldur að upplifa tengsl, við sjálfan sig, aðra og náttúruna. | ['Alda Palsdottir'] | [] | [] | 31 |
10,114 | https://devpost.com/software/covhelper-3q1as6 | app logo
Inspiration
All over the world, the spread of the pandemic is a persisting problem. As we saw people of all ages are affected by the problem specially older people, and people with pre-existing medical conditions (such as asthma, diabetes, heart disease). In addition, governments have to deter the spread of fake news that is making it harder to flatten the curve.
That's why
the best solution until now is tracking the virus, keeping the citizens aware by updating them about the current situation and finally improving their behaviour to respect social distancing
.
What it does
CovHelper is a mobile application (implemented on both Android & iOs) with
2 versions
one for
citizens
and the other for
medical establishments
.
The application will help the government to
improve citizen’s behaviour, keep the user updated and safe by tracking of the user status ( by adding daily symptoms: his symptoms will be available only for hospitals so we can contact to have a test if needed ) and his contacts (who is infected and who was in contact with the victim) and last but not least allows the user to consult a list of nearest hospitals and donate to organisations and funds raised to defend COVID-19 outbreak
.
For the version designed for medical establishments a medical assistant will be given an account to sign in and update positive tested cases. For citizens they have the ability to register and sign in.
When registering, the patient answers a collection of questions (the list can be modified dynamically). The answers of each patient will be saved in the database and an algorithm will automatically order the list of patients from most critical or urgent to least critical. This algorithm will be defined with a CORONA specialist.
The responses will also allow us to have a list of the people the patient has contacted and their family members. The questions differ
depending on the case, whether you come from abroad or not
.
Once connected, you can consult the Dashboard, where you can check:
• Your status and Old Symptoms ( these symptoms will be available only for hospitals so we can contact to have a test if needed )
• Add new symptoms
• Volunteering (helping around)
• Make a donation
• Quarantine counter
• News: Just display news related to Coronavirus (title contain Corona)
=> depending on your localisation country and the language you have chosen these news will be dynamically updated The api we have used to get news is
https://newsapi.org/
because
it provides verified news
• Trackpad: The user ca check his status if he’s infected by the virus or not who infected who and who encountered an infected
How we built it
The application will be ready to launch within two weeks so that we can catch up and track the virus all over the world.
The application is available with
English, French and I'll soon add Arabic
to ensure everyone can connect within the app.
CovHelper is developed with
react native
to make sure we get the application as soon as possible on both android and iOs devices. We used material design for modern UI framework.
Apis will be developed using
Firebase
, we thought this will be the fastest way to do it.
We used different APIs to get data such as
NewsAPI
and Postman apis.
Updating a patient status is only entered by the medical establishments, this will approve the authenticity of the app and prevent false positives or self-reporting, which might lead to falsification of records.
Challenges we ran into
• Add Location
Check coronavirus victims’ position :
For iOs it is possible to get a notification when the location did change, this will be enough for us. When location did change, we will start a call to the API telling the server that our position did change.
For android, if we keep a notification of our application no dismiss-able, we can keep asking for location. This does fix the problem too.
One last problem for iOs, if our device restart, the user need to restart the application to make sure we are requesting location again. We don’t have this problem for android because we can use on Reboot broadcast receiver to make sure we restart our service every time we restart the device.
Accomplishments that we're proud of
We are mostly proud to contribute in the developing a solution that will reduce the spread of the virus throughout the country while finding a vaccine to cure the pandemic with the tracking method. It will improve awareness and help medical stuff at the frontline in order to keep everyone healthy.
We specially appreciate the wide range of offered resources, the freedom in making your work plan and the overall
friendly atmosphere
.
We are able today to apprehend projects with a
good perspective
and to
propose adequate solutions to the issues addressed
and we are really thankful of that.
This project was on top 3 finalists in HackTheVirus Hackathon organized by GoMyCode in Tunisia.
This Hackathon allowed us to get in touch with great minds that's why we decided that everyone still can contribute to this project: designers, developers, idea holders… we will provide open source code for developers just to make sure we all are making a difference.
What we learned
We should mention we were able to encounter great minds from all over the world that really care about this crisis. We had the chance to
exchange ideas, motivate each other ,learn from one another and make great friends through slack workspace
.
Briefly, This experience helped me sharpen the
spirit of initiative
and even more
boost my taste for challenge and leadership
.
What's next for CovHelper
We plan to get the app
deployed as soon as possible
for that we'll need :
• Ensuring a sustainable cost of running such an app in the cloud storage
• Government entity or public health organisation commission to track data.
• Medical system contribution to update the status of patients.
We also plan to add these features :
• Location :
Consult list of nearest Hospitals :
Localise hospitals nearby so that the user can contact them in case of urgency
Notification :
we send a notification to the user:
o When he enters a new building
o When the distance between the user and a Corona case is < to 100 meters
This application will guide us through this period and even after quarantine just to ensure everyone of us gets back to his normal lifestyle and why not have a better lifestyle.
The app will remain a great tool to donate, volunteer to hospitals and charity organisations and we will allow people in need to post their problems. It will be a platform to give and get Help.
Try it out
github.com
drive.google.com | CovHelper | A 2-versions mobile app that tracks affected cases, facilitates donating to organisations, keeps the citizen updated about his status and his contacts status and provides him with verified news. | ['hajer so', 'haythem so'] | [] | [] | 32 |
10,114 | https://devpost.com/software/itutor-bntd5h | Inspiration
Education involves gaining knowledge and skills
that people are expected to have in a society.Like
all other fields, technology has gained importance
in education and training also.
In 21st century programming is an essential skill,
it teaches one how to think.
Learning programming might be easy for some of
us. YouTube,Programming courses are there but
not everyone learns in same way.
Some of us requires individual attention & line by
line guidance.
But there are no platform where we can learn
programming one to one remotely.The existing
solution are tedious and time consuming,which
takes away the essence of learning programming.
What it does
Gives a common online platform for live videochat, programming, real time connection without using different software, like team-viewer, skype, text editor.
How I built it
HTML :-Hypertext Markup Language, a standardized system for tagging text
files to achieve font, colour, graphic, and hyperlink effects on World Wide
Web pages.
CSS :-CSS describes how HTML elements are to be displayed on screen, paper,
or in other media
JAVASCRIPT:-JavaScript is a scripting or programming language that allows
you to implement complex things on web pages
FRAMEWORKS AND LIBRARIES
BOOTSTRAP:-Bootstrap is is the most popular CSS Framework for developing
responsive and mobile-first websites.
jQuery:-The purpose of jQuery is to make it much easier to use JavaScript on
your website
NodeJS:- It is an run time environment that allows browser javascript to run
on your console.
Express:-Web application framework that provides a robust set of features for
web and mobile applications.
MONGODB:- It's an no-sql database that stores data in the form of JSON
DATABASE -
DATABASE(m-LAB) :- mLab is fast hoisting service for mongodb
FILES(heroku):-Heroku is a platform as a service that enables developers to
build, run, and operate applications entirely in the cloud.
Challenges I ran into
I ran into problem of using data to present it in front end in beautifull manner.
What I learned
I learned how to build complete end to end applications.
Built With
bootstrap
css
express.js
heroku
html
javascript
jquery
m-lab
mongodb
node.js
Try it out
itutorsanjay.herokuapp.com | iTutor | To provide an online platform to learn and teach programming one to one remotely | ['Sam J'] | [] | ['bootstrap', 'css', 'express.js', 'heroku', 'html', 'javascript', 'jquery', 'm-lab', 'mongodb', 'node.js'] | 33 |
10,114 | https://devpost.com/software/autonomy-3qoylv | Inspiration
Surveillance measures have been taken across the world since the outbreak of COVID-19. On one hand, the measures could effectively contain the virus; on the other hand, it could also lead to lasting damage of digital rights. Can there be a system that not only show us specific places that are safe during the pandemic, but also retain our privacy?
What it does
Our project, Autonomy, is an app that provides neighborhood public health forecasts. These forecasts are presented through a numerical score that encapsulates the relative danger of a neighborhood. Autonomy learns from data provided by you, those near you, and verified public sources - every so often, you’ll receive a notification when your neighborhood’s health forecast has changed and requests to share information about how you are doing. Your privacy, along with those in your neighborhood, is always protected.
How does it work
When using Autonomy, you enter a cohort based on your current location. You will occasionally be asked to contribute information about how you are doing. By analyzing your data in conjunction with those of other cohort members and verified public data, Autonomy develops a fuller picture of your neighborhood’s health status and notifies you when that changes.
What about user's privacy
We do not know who you are. You do not register an account in the traditional sense: there are no usernames or passwords. Autonomy will never ask for identifying information such as your name and email address. All data that you provide is encrypted and stored in a personal data vault to which only you have the (digital) key. Members in your neighborhood will be unable to identify your data and vice versa.
Autonomy's pillars of privacy
Supporting privacy is a critical element in Autonomy because health data is personal and intimate. Citizens would be reluctant to share this data if it weren’t private because personally identifiable data could lead to anything from embarrassment to discrimination. Autonomy thus includes three pillars that create privacy in Autonomy:
1. Data Pooling.
Autonomy pools data. This is done by grouping citizens into “cohorts” of 450 people who share their data as a group. Thanks to the pooling, no one can access any specific citizen’s data, nor can they identify any specific citizen.
2. Fiduciary Relationships.
Each data pool is overseen by a fiduciary, who holds a position of trust and who is legally required to make his best efforts to protect the data.
3. Ubiquitous Encryption.
The data that a citizen puts into a pool is encrypted from the second it leaves their device: Autonomy uses end-to-end encryption to protect data in transit and also ensures that the information remains encrypted in its data store.
Challenges we ran into
The biggest challenge with this project was how to integrate feedback from different industries. We consulted experts from different areas to see how our project could work. The medical experts think that there is insufficient knowledge to do this. The computer science experts advised us to consult lawyers because the regulation would be too high to do this. The public health people were interested, but expressed a lot of skepticism.
What we learned
At first, we presented our numerical score without providing any explanation. Because we thought that the most important feature was to provide a simple and immediate access to public health forecasts. Then, we noticed that people might not trust a single COVID-19 project. After that, we enhanced our interface, so that users can not only see how the scores are being calculated, but they can also adjust the calculation formula to suit their personal needs.
What's next for Autonomy
By enabling mass participation in public health, Autonomy can be an early warning system that helps citizens to recognize potential risks at specific locales; it can be a danger assessor that gives government leaders data-driven advice on public health decisions; and it can be an analytic research tool that collects and analyzes local data from around the world.
Next, we will impact the future of healthcare technology: we believe that a new information infrastructure is needed to facilitate direct communication between individuals and institutions without sacrificing privacy and human rights. Nowhere is this more evident than in public health, where the tension between public good and personal data sometimes seems intractable. By designing the right data security models, built upon stout pillars of privacy, Autonomy can provide this infrastructure and shape a new social contract for good.
Built With
android
api
golang
ios
Try it out
github.com
github.com
github.com | Autonomy | provides neighborhood public health forecasts by integrating personal and institutional data during pandemics. We support privacy with our best effort. | ['Anaïs Barthe', 'Linzy Hu', 'Jim Yeh', 'Thuyen Truong', 'Hieu Pham', 'Vivian Chen', 'Sean Moss-Pultz', 'Rachael Pai', 'Hai-Ching Chang'] | [] | ['android', 'api', 'golang', 'ios'] | 34 |
10,114 | https://devpost.com/software/deep-learning-covid-19-chatbot | Cough detection and automated voice recognition and response
Chatbot - Android app
Chatbot - Flask web app version
Chatbot - Node-Red application
RNN noise reduction
Inspiration
The pandemic hits hard on the world, We all are worried about our health. It was important to check heart rate, mental health, and detect any persistent coughing. We need to get live status of active cases near our locality so that we can plan our journey accordingly. For this purpose I just connected with Dr. Anjali and started working on this project.
What it does
You can ask question without clicking a button or typing. Just ask and she will give your health-status, how to care your children, active cases near you and much more. For active cases we used the covid19 India API.
How we built it
There are 4 version for this assistant
Build on Nod-red
Build on Flask web app
Build on Android
Deployed on Nvidia Jetson Nano/PC with automated cough detection, response to your voice using RNN based Noise-reduction technology
Challenges we ran into
It has taken tremendous effort to build this during the hackathon. Including training multiple AI model in limited amount of time, Configuring IBM cloud, Node-red application, Building a flask RESTful app and android application. Installing dependencies on Nvidia Jetson Nano and configuring the script on this Single Board Computer(SBC) has taken so much of our time.
Accomplishments that we're proud of
Succesfully build the system working on SBC's such as Nvidia Jetson Nano, which acts as a local brain for the Asssistant.
What we learned
Training Deep learning models, IBM-cloud devops, AI edge device integration with cloud.
What's next for Deep learning Covid-19 chatbot
Now we are almost completed our work for integrating the emotion recognition, heart rate detection over the cloud. so that it can be used as an API call. which helps in integrating on mobile applications, web application,IoT devices, Other SBC's
Built With
c++
ibm-cloud
ibm-watson
java
keras
opencv
python
tensorflow
Try it out
github.com | Deep learning Covid-19 assistant | An AI assistant to constantly check your heart-rate, emotional state,detect coughing and give active covid-19 cases near your area and help your health queries | ['Nandakishor M', 'anjali m'] | [] | ['c++', 'ibm-cloud', 'ibm-watson', 'java', 'keras', 'opencv', 'python', 'tensorflow'] | 35 |
10,114 | https://devpost.com/software/educate-in-place | Educate is a user-friendly cloud-based platform for science, technology, engineering, and mathematics (STEM) education.
The format will be sequential lessons with explanatory text, detailed problem-solution sets within interactive video game scenarios, and virtual laboratory exercises. | Educate | Educate consists of self-paced automated course curricula in an XR environment. | ['Warp Smith'] | [] | [] | 36 |
10,114 | https://devpost.com/software/vox-of-life | Sign Up
Time to Talk Notification
Text Confirmation
Voxers on call
Wireframe
People are by nature social creatures. These past few months of having to isolate and distance yourself from others has been extremely difficult, both physically and mentally. In today’s world, communication and social contact are a huge part of daily life, larger than they have ever been before. This situation happened so quickly, and it may continue indefinitely. We believe that one can abide by the ‘new normal’ and still maintain social contact by using Vox of Life.
In Latin, the word ‘vox’ means ‘voice’. Vox of Life strives to be the ‘voice’ that can be used to initiate, maintain and communicate with others in a safe, controlled environment by the use of the Vox of Life app. The Vox of Life is an opportunity to socialize with others with the same interests, hobbies in you choose, or with someone else who may just need to talk and hear another human voice.
What are you interested in accomplishing? What might be reasonable to accomplish?
Encourage spontaneous meaningful interactions between all walks of life
Reduce impact of social isolation
Make conversing with new people comfortable
Encouraging extroversion in a time where we’re all distanced
Is this something you want to do within the timeframe of the hackathon only, or are you interested in working on this after the 12th?
The effects of COVID-19 are far reaching, and mitigating the effects of social isolation is our goal. We believe we can do this by connecting new people on 1:1 phone calls to meet new walks of life. Even after the curve is flattened and social interaction becomes safer, we will be transitioning our efforts to continue reducing the impact of social isolation, and creating ways for improved communication between individuals and groups.
What is your bandwidth to contribute?
We, the members of this team, are extremely passionate about our mission and are currently balancing this initiative with full time professions. We are capable of supporting this initiative but are seeking support to ensure our mission continues to have a greater impact.
Who is on your team? Please describe your background and why you’re the right person/team to work on your idea.
Magus
Software Engineer
Design thinker
Social enterprise enthusiast
Right person: I like to make things, and also love to make things better.I aspire to work and make products that can create lasting social impacts globally
Shiv
Client facing
Biomedical engineer
Health focused
Right person: I desire to make an impact that can positively affect people and improve the way people see the world and others
Sam
Marketing Specialist
Client facing
Right person: I have a desire to network with others and get to know other people and Vox of Life is heavily geared toward networking
Patrick
Full stack developer
Highly competent in multiple technologies
Right person: I am not a fungus, I am a fun guy and I like building fun tech
Inspiration
Vox of Life was inspired after noticing heavy the toll self-isolation was putting on the mental health of friends and closed ones. Social distancing and self-isolation don't have to mean loneliness and silence. VOL's on the mission to encourage people to have meaningful social interactions, while still practicing safe social distancing. We enable this by pairing different walks of life to each other through just a voice call and simply by the time they both are available.
Built
To rapidly execute on this mission, the proof of concept initially was "pretotyped" with a combination of traditional software engineering frameworks (NodeJS/Nest) and even no-code tools (Zapier, Airtable, Wix). We used NestJS to build our matching algorithm and backend server, and used the no code tools to build our frontend. The first prototype was complete in the first half of a weekend, and the private beta started the very next day. A lot was learned from our testers and the project went through multiple iterations over the course of the trial very quickly.
Challenges
Initially, VOL calls only worked over the web on desktops. Multiple testers provided feedback to make it also accessible over their mobile devices. In less than a week's time, the testers were able to dial-in to their calls.
Future
Nursing Homes
Build relations with nursing homes, to allow the isolated elders to have one on one calls with volunteers
Slack
Integration for Slack, where users can have spontaneous one on one interactions with in their existing communities
Built With
airtable
html
javascript
nestjs
sendgrid
twilio
typeform
wix
zapier
Try it out
voxoflife.com
instagram.com
github.com | Vox of Life | VOL encourages people to have meaningful social interactions, while still practicing safe social distancing. We enable this by pairing different walks of life to each other through just voice. | ['Magus Pereira', 'Patrick Luy'] | [] | ['airtable', 'html', 'javascript', 'nestjs', 'sendgrid', 'twilio', 'typeform', 'wix', 'zapier'] | 37 |
10,114 | https://devpost.com/software/eleutherios-alpha | Linear supply chain that scales or aggregates the service or supply chain
Circular supply chain that scales or aggregates the request or conversation
Aggregating, scaling or serializing a circular supply chain or process using a computer or Turing machine.
Eleutherios
Eleutherios (
https://eleutherios.org.nz
) is a platform that makes it easier for people or businesses to cooperate with one another or serve their customer's through a common forum or request.
Problem
The current human supply chain is linear or tries to scale the service or work that people or businesses are performing. For example, if a person was hungry and had $10 to buy food, they might order online and spend $5 on a pizza, $2 on a drink and $3 to have the items delivered to their house.
In this scenario the person can only scale their request or conversation for food, three times. Once for pizza, a second time for a drink and a third time for a delivery service.
The problem is the financial supply chain is forcing the food and logistic supply chain into a linear or one-to-one relationship with the service and the request.
request = $5 (finance supply chain) for pizza (food supply chain)
request = $2 (finance supply chain) for drink (food supply chain)
request = $3 (finance supply chain) for delivery (logistic supply chain)
Solution
Serialize or circularize the supply chain by scaling the customer's forum, request or conversation that they are having with people or businesses, not the service or work that they are trying to perform.
For example, if a person was hungry and isolated at home, they could register with Eleutherios and create a forum for some food. A food store owner could register as a service in the system and subscribe to the forum and ask the person what food they wanted? The food store owner could gather the food from their store and scale the forum by creating a sub-forum for a healthcare worker to help with the delivery of the food. The healthcare worker could scale the sub-forum again and create another sub-forum for a delivery service and accompany the delivery service and be the person that delivers the food to the isolated person.
In this example, it is the forum or request that is being scaled, not the service or work that people or businesses are performing. By delegating the forum or request to services in this way, means that more than one service or supply chain (i.e. civilian, food, healthcare and logistics) can participate in the forum or request at the same time.
Features:
Forum in forum (sustainability/manageability).
Tags for filtering forums or services (searchable).
Alerts to keep users informed when new forums or services are created in the system (notifiable).
Blocking to prevent unwanted services or users from serving in forums they have been asked not to serve in or for requesting services, they have been asked not to request (accountability).
Service reviews (accountability).
B2B or shared processing (scalability).
AI (automatable).
Eleutherios is built with an HTML/javascript (Angular) frontend and node.js (nosql/firebase) backend.
https://eleutherios.org.nz
Discuss or provide feedback.
https://www.facebook.com/groups/2982366048442234/
Help fix bugs or resolve issues.
https://github.com/aletheon/eleutherios-alpha/issues
Make a donation to the Eleutherios open source project.
https://opencollective.com/eleutherios
Built With
circular
css
html
javascript
supply-chain
typescript
Try it out
eleutherios.org.nz
github.com | Eleutherios | Global cooperative forum or supply chain | ['Rob Kara'] | [] | ['circular', 'css', 'html', 'javascript', 'supply-chain', 'typescript'] | 38 |
10,114 | https://devpost.com/software/online-learning-toolkit | Inspiration
We are high school students and we noticed during the Covid-19 pandemic that our secondary teachers needed a better way of creating and sharing Google Meet links with their students. For instance, many times, they wanted to schedule a Google Meet in advance, but the links expired, and they were not able to do this. Other times, they simply wanted to create breakout Meets, but had to ask one of the students to create meet links for them.
What it does
The teacher will open a .csv file in their application of choice (Excel, Numbers, TextEdit, etc) and input student information (name, nationality, gender, class, email).
The teacher will then be able to pick a class file to open - e.g. AP Statistics class, Honours English, IB Mathematics HL, etc.
The teacher will then be able to create a specified number of student groups inside the class by splitting students in different ways, including:
randomly
students will be randomly grouped.
homeroom
students from different homerooms will be mixed together
nationality
students from different nationalities will be mixed together
gender
groups will include both males and females, not just a single sex.
manual
teachers will decide the groups
The teacher will then be able to choose between two options:
a. Automatically create
Google Meet
/
Zoom
call links for each group and invite the members of each group via email. The teacher can specify additional information to send along with the link in the email, such as "Please join this meet and discuss with your group members"
b. Simply view the groups
How we built it
The app was written in pure Java using JavaFX (no FXML or Scene Builder used). Since we were a team of two, instead of using Git, we used a real time collaboration software as this was more convenient for us.
Challenges we ran into
We were debating over
whether to use JavaFX FXML or standalone JavaFX
. During the project, we tried to use Java FXML, but we didn't know it very well and we found it was time consuming, so we decided to create the entire project with
pure JavaFX
. This was quite challenging, especially when changing scenes. The files also got large quickly and remaining organised was difficult.
The biggest challenge we ran into was
exporting the Java file as an executable .jar file
. We tried to export projects created in more recent versions of Java such as Java 14 (the most recent version), but that required the use of either Maven or Gradle - most likely because JavaFX is no longer part of the JDK since JDK 8. Since nothing worked out for us, we decided to use JDK 8 instead, as it supported most of the key features we heavily relied on - lambda expressions, streams, etc.
Accomplishments that we're proud of
It was our first hackathon, we didn't expect we'd manage to finish on time, so the biggest accomplishment would be creating a presentable, actually useful piece of software!
What we learned
We learnt to use Selenium to create Google Meet and Zoom links, and we learnt to use the Java Mail API to send emails to other users.
What's next for Online Learning Toolkit
Using actual Google APIs instead of Selenium web drivers
Using Zoom API (if we don't have to pay..?)
Add support for more browsers and email vendors other than Chrome and Gmail
Add support for more video call options other than Google Meet and Zoom such as Skype or FaceTime.
Taking attendance using Google's APIs, if possible - we tried to do this using Selenium, but unfortunately, it didn't work :(
Built With
java
selenium
Try it out
github.com | Online Learning Toolkit | A smart group generator for teachers | ['Steven Oh'] | [] | ['java', 'selenium'] | 39 |
10,114 | https://devpost.com/software/the-ring-road-icelandic-summer-board-game | Board game with Regional Task Cards
North East Cards
Front page of Reykjanes cards
Inspiration
Have you realized that Iceland lost half of its population this year? You may ask how.
In 2019 we welcomed around two million international tourists here. That’s around 170 000 people visiting us every month. Half of the whole Icelandic population! This year because of COVID-19 those people were forced to #stayhome.
They are frustrated, bored and they are dreaming about travelling again.
What if we let them travel to Iceland meanwhile letting them to stay safe at home?
Impossible you may say.
What if we give them tools to explore this country without a need of leaving their safe homes?
Even more impossible?
What if we encourage them to plan their trip to Iceland even though they are being stuck on their quarantine and can’t travel yet?
And what if I tell you they actually may like it and want to stay even longer at homes?
Still impossible?
Nothing is impossible here. It’s Iceland, country built from the ashes. We live on top of the volcanos, we grow tomatoes in Arctic climate, we are part of NATO without having army, we are one of the happiest nation in the world although we don’t see much of the Sun here. It's Iceland. Impossible doesn't exist here but supposedly elves do.
And what If I tell you it's all
POSSIBLE
thanks to the
BOARD GAME
?
What it does
The Ring Road - Icelandic Summer is a family board game that will guide you through Icelandic attractions, winding roads and hidden touristic treasures.
Every road piece on the board corresponds to the actual 20-30 mins drive of a car during Icelandic summer in a real life and every cost of attraction represent the actual average time needed for each of the attractions.
By playing this game you can actually plan your real trip around Iceland and learn about the most interesting attractions this country can offer. All in one place. Prepared by experienced local guide.
Planning by playing with a lot of fun!
This game is designed to inspire people to come and visit Iceland and be familiar with almost all Icelandic tourist attractions.
How I built it
I used my knowledge from few years of guiding in Iceland to provide the players the best possible know-how about Icelandic attractions, roads and sites of interests. I used Adobe Illustrator and Photoshop to create a board, cards and an instruction. I used my experience in board games to create rules that are understandable and easy to follow while giving lots of fun from playing.
Challenges I ran into
I needed to learn how to operate Adobe Illustrator without any training or previous practice and how to create easy rules that will provide lots of fun while playing.
However, the biggest challenge was to conduct in-depth research about all Icelandic roads and attractions and to embed it into the rules and look of the game.
Accomplishments that I'm proud of
I created a board game that can be scalable for almost any country around the World making similar games in other places possible in the future. This game can help countries to bring tourists in and help them get familiar with local attractions in a nice and enjoyable way.
What I learned
That when we loose a job we discover a huge potential in ourselves to do new things, to begin everything from the scratch and to create something unique using the best of our knowledge and experience. The potential is within us, a hard work and a determination can bring it up.
What's next for 'The Ring Road - Icelandic Summer' - Board Game
Process of finding partners to finish the project (graphic improvements, printing pieces, create a marketing and publishing strategy) and promote this board game worldwide.
Release the game in 2020 and boost tourism on Iceland.
Built With
adobe-illustrator
photoshop | 'The Ring Road - Icelandic Summer' - Board Game | There's an easy and cheap way to bring tourists back to Iceland, entertain and educate them and make sure they will choose it as their first destination as soon as COVID-19 is over. It's a board game! | ['marcinszwagrzyk', 'Szczepan Ligeza'] | [] | ['adobe-illustrator', 'photoshop'] | 40 |
10,114 | https://devpost.com/software/medguide-for-iceland | Áskorunin sem MedGuide for Iceland leysir
Við viljum dreifa álaginu á heilbrigðiskerfið, hafa upplýsingar aðgengilegar og leiðbeina fólki í rétta átt að úrræðum sem henta þeim, sérstaklega í krísu eins og þeirri sem stafar af COVID-19 faraldrinum..
Lýsing á MedGuide for Iceland
MedGuide for Iceland er heimasíða þar sem finna má upplýsingar um allar heilbrigðisstofnanir á Íslandi á einum stað, í stað þess að þurfa að leita að heimasíðum hverrar heilbirgðisstofunar fyrir sig sem eru ekki alltaf auðfundnar.
Á forsíðunni má finna mikilvæg símanúmer og gróft yfirlitkort yfir Ísland sem sýnir hvar hægt er að finna heilbrigðisstofnanir. Sé grunur um Covid er hægt að finna upplýsingar um einkenni og leiðbeiningar um næstu skref, svo sem að hafa samband í síma 1700.
Hægt er að velja að finna næstu heilbrigðisstofnun út frá staðsetningu og upplýsingar m.a. um opnunartíma (neyðarvakta), myndir að aðkomu, þjónstu og símanúmer. Að lokum er hægt að finna almennar upplýsingar sem útskýra hlutverk mismunandi heilbrigðisstofnana til að leiða notendann áfram um val á réttu úrræði.
Vefsíðan mun vera aðgengileg á íslensku, ensku, pólsku og mögulega fleiri tungumálum.
Verkefnavinna yfir helgina
Vinna við MedGuide for Iceland hófst föstudaginn 22. maí. Teymið fór í gegnum tvær brainstorming lotur. Fyrsta brainstorming lotan var til að fá hugmyndir um hvaða vandamál innan heilbrigðisgeirans við vildum einblína á. Seinni brainstorming lotan snerist svo um hvernig við vildum útfæra lausnina á þeirri áskorun sem valin var. Rætt var við mentora sem hafa góða þekkingu á heilbrigðiskerfinu sem var mjög hjálplegt til að sjá hvar mátti bæta lausnina okkar. Upphaflega verkefnið var of stórt og við þurftum að afmarka lausnina út frá ráðleggingum mentora.
Áhrif MedGuide for Iceland á krísuna
Minnkað álag á bráðamóttökur með því að leiðbeina einstaklingum áfram að hentugu úrræði fyrir þá innan heilbrigiskerfisins. Gegnsæi upplýsinga um hvert eigi að leita og hvað einstaklingurinn getur gert til að takmarka frekari smit.
Ferðamenn á landsbyggðinni geta auðveldlega fundið og haft samband við næstu heilsugæslu/heilbrigðisstofnun ef grunur er um smit.
Hvað vantar uppá til að geta haldið áfram með verkefnið
Töluverð vinna er framundan við að safna saman upplýsingum um heilbrigðisstofnanir um allt land. Forritunarvinnu þarf til að koma vefsíðunni í gang, þá aðallega bakenda þróun.
Virði lausnarinnar eftir krísuna
Auðveldar aðgengi einstaklinga (íslenskum ríkisborgurum jafnt sem erlendum ferðamönnum) að upplýsingum um staðsetningu heilbrigðisstofnana.
Vefsíðuslóð á frumgerð
https://pr.to/U9QBAM/
Vefsíðuslóð á kynningarmyndbandi
https://youtu.be/017_A_rMHdsV
Try it out
pr.to | MedGuide for Iceland | Veist þú hvert þú átt að leita innan heilbrgiðiskerfisins? MedGuide for Iceland er vefsíða sem bætir aðgengi að upplýsingum og sýnileika heilbrigðisstofnana um allt land. | ['Esther Friðriksdóttir', 'Berglind Þorgeirsdóttir', 'Henný Birgisdóttir', 'Elín Hrefna Hannesdóttir'] | [] | [] | 41 |
10,114 | https://devpost.com/software/modulus-7i30cv | Inspiration
In light of the recent COVID-19 crisis, we’ve seen staggering demand for online courses as students grapple with a reality in which education is now delivered over the internet. But traditional e-learning platforms like Khanacademy struggle to keep up with the pace of demand, while LMS platforms like Canvas, which requires teachers to sign up as part of large, wealthy organizations such as school districts, are difficult to use and lockout small independent teachers that just want to continue teaching. And on top of all that, all platforms rely solely on one medium of teaching, such as Udemy through videos, and Edmodo through text, without regard for user learning preferences.
What is Modulus?
Modulus is an online education platform, similar in concept to Canvas or Blackboard, both of which are used by schools and universities around the nation. But unlike existing platforms, Modulus directly integrates the VARK learning styles - a psychological framework for teaching - into an incredibly simple to use, modular course structure that anyone can use to teach anything. The result is a fairer, more accessible, and more equitable online education for everyone.
Modulus Features
Modulus includes VARK profiles, which are charts that display the proportions of different learning styles for a course or a user. Across the entire user interface, the colors and learning styles used in the profiles are consistent, which means you can tailor your education to your learning preferences.
Fast, responsive, and intuitive, with no bloatware, unlike other LMS solutions that disadvantage those with poor hardware, slow internet connections, and little tech-savviness.
Peer-to-peer: our platform lets anyone create, upload, and share courses, with the idea that we can recreate the Montessori model of learning in a digital environment.
How is Modulus used?
Modulus is used to create a digital classroom online, where teachers can post courses, assignments, lectures, and tests to share with students anyplace, anytime. Our goal is to recreate the best parts of modern educational methods, from VARK learning models to Montessori peer-to-peer instruction, in an online environment, so that as a society progress can continue to be made in the field of education, even from home during quarantine.
How I built it
We used React to develop the front end for the web application, while integrating with the Google Firebase service for backend database operations. For the landing page, we used Bootstrap, and React for the web app educational platform itself.
Challenges I ran into
This was the first time that our team used Firebase Google Cloud services for user authentication and data storage, so it was difficult to integrate that into our web app, which is written in React, a web framework we had learned for our first hackathon only two weeks ago. We encountered lots of issues thus with merging these new technologies together and deploying them successfully on Heroku.
Accomplishments that we’re proud of
Despite having just learned Firebase, and only having two weeks of experience with React and Bootstrap, we managed to do the following:
A fully functional web platform, with an intuitive and extremely fast design.
Full integration with a cloud-hosted database backend that tracks course enrollment for our individual users
Automated emailing for password recovery
Integrated course creation into the platform
Anti-bot services like Recaptcha
What's next for Modulus
Our team hosts a tutoring service for middle school and high school students who either want to catch up or get ahead during this difficult time, so we plan on using this platform ourselves to promote education for all.
Who we are
High School Juniors from Seven Lakes High School, in Houston, Texas
Daniel Wei - danielwei15#3016
Ryan Ma - GoblinRum#8553
Haoli Yin - Nano#4890
Built With
bootstrap
cmd
css3
express.js
firebase
google
heroku
html5
javascript
node.js
npm
react
recaptcha
research
Try it out
modulusplatform.site
github.com | Modulus | An online education platform that directly integrates VARK learning styles for efficient online learning | ['Haoli Yin', 'Daniel Wei', 'Ryan Ma', 'Mohamed Hany'] | ['Best Educational Impact'] | ['bootstrap', 'cmd', 'css3', 'express.js', 'firebase', 'google', 'heroku', 'html5', 'javascript', 'node.js', 'npm', 'react', 'recaptcha', 'research'] | 42 |
10,114 | https://devpost.com/software/purifyre | Inspiration
PPE shortages can cause big issues for medical institutions and first responders, especially during a global pandemic. To help combat consumer demand of disposable PPE, reusing equipment is vital. To allow people to reuse equipment, their equipment must be safely sanitized after use.
What it does
Purifyre is a low-cost hardware system that sterilizes and sanitizes through UV LEDs, heated air flow, and vaporized Alcohol. It is designed to be suitable for household and medical use. The system utilizes five primary components, a heater, enclosure, UV Led array, fan, and tub of isopropyl alcohol.
The hardware enclosure system is designed to be flat packable or ready-to-assemble by the end user. This allows for easier shipping and distribution. It is also designed to be manufactured out of flat sheet material, which is abundant in a variety of materials.
After consulting with a few medical professionals, we have determined a basis for a sequence of operations:
Dry heat 15min at 80C
IPA pumped in to the tray from a small tank,
Heat at 70C for 20 min,
Heat to 40C for 15 min
Heater off for 15min
How we built it
Soldering iron, wires and code. Acrylic cut via laser cutter. Container was repurposed hydroponics equipment. UV LED panel was created from UV led adhesive strips.
What we learned
UVC LEDs burn out
What's next for Purifyre
Better prototype and hopefully funding.
Built With
arduino
c
electronics
python
raspberry-pi
uvc | Purifyre | Triple action sterilization system for PPE, clothing, and everyday products. | ['Muntaser Syed', 'Chris Woodle'] | [] | ['arduino', 'c', 'electronics', 'python', 'raspberry-pi', 'uvc'] | 43 |
10,114 | https://devpost.com/software/intellischool | intellisSchool Web App - Smart Quiz
intellisSchool Web App - Dashboard
intellisSchool Web App - Smart Notes
intellisSchool Web App - Leaderboard
intelliSchool Browser Plugin
intelliSchool Browser Plugin - Smart Quiz is generated right below the video for any youtube video.
intelliSchool Browser Plugin - Smart Notes is generated right below the video for any youtube video.
intelliSchool Browser Plugin - Quiz report
Inspiration
In the midst of COVID-19, the whole world has realised the power of online learning and the impact it can have on millions of students. Be it K-12 or higher education, virtual learning is talk of the town. Although there are plenty of video lectures available online and usage is extravagant, often these lectures can get too long, monotonous and quite frankly, boring! People zone out frequently and lose track of what's going on. They end up rewinding the video and watch again which really is a waste of time.
In this process, there is a lack of feedback; there is no one to test you if you've really understood what you've been listening to. What if there was a mechanism to evaluate the understanding? Also, not every student like to take notes. But all of us need something to refer to before an exam. What if there is someone who can automatically generate notes for you while you concentrate on listening to the lecture in the video?
What it does
intelliSchool Web Application
Teachers can upload meeting recordings to our application and send invitations to their students.
Students can then login and subscribe to the class.
All videos that are part of the class will be downloaded in the background to the student’s device.
The application will use the video uploaded by the teacher to automatically generate smart quizzes, smart notes, flash-cards and links to related concepts using Machine Learning and Natural Language Processing.
While students are learning a concept, if they have any doubts, they can use the discussion section below the video to ask questions. Teacher, other students or our bot can answer their queries.
At the end of the quiz, they will be able to view a report that gives their score along with the questions that they answered incorrectly. Students can click on ‘Where was this question from?’ button. Our App will take the student to the point in the video from where the question was generated.
intellischool browser plugin
A web browser extension that automatically generates a quiz and smart notes for videos in YouTube and other EdTech websites using NLP (Natural Language Processing) and Machine Learning. A user can self-evaluate their understanding by taking the quiz while watching the video. Each question presents the user with an option to move back to the part of the video from where the question was generated. This will help the user in revising the concepts which they weren’t able to understand when they watched the video the first time.
We also generate smart notes and summary for the video. Our smart notes also provide meanings and examples for certain key words in the notes so that a user can easily understand the overall content of the notes. User can also click on any sentence in the notes to navigate to the point in the video from where the concept summarized in the sentence is explained.
How we built it
We used Angular to build the frontend of the web application and Javascript to build the browser plugin. Backend is built using Python. 'IBM Watson Speech to Text converter' is used to convert speech to text. We are using python packages such as nltk, gensim and our own Algorithms to automatically generate MCQ based quiz and smart notes from the speech in the video.
Challenges we ran into
The process to generate quiz, notes or summary from a video is complex and time consuming machine learning problem. It was a challenging task to reduce the total time taken by this process from several minutes to a few seconds. We were able to accomplish this over the weekend.
Accomplishments that we're proud of
We consider every aspect of the project as an accomplishment as it was a new learning every step of the way.
What we learned
We were able to explore different NLP libraries, their capabilities and restrictions and also explored different open source and cloud solutions and how to use such already existing solution in our project to improve its efficiency.
What's next for intelliSchool
Capture screenshots of diagrams and formulae from the video using Computer Vision and add it to Smart Notes.
Create flash cards
Add analytics to help teachers understand the topics that weren't answered correctly by students.
Add analytics for parents to better understand how their kids are performing.
In smart notes section, we want show links to relevant websites to read more about the central topic of the video.
Generate pre-requisites - add links to learn about most important sub-topics on the video as pre-requisites
Built With
angular.js
flask
gensim
ibm-watson
javascript
nltk
python
typescript
Try it out
github.com | intelliSchool | Web Application and a browser plugin that generate quizzes, notes and flash-cards automatically using Natural Language Processing and Machine Learning for any educational video | ['Priyadarshini Murugan', 'Sumanth Muni'] | [] | ['angular.js', 'flask', 'gensim', 'ibm-watson', 'javascript', 'nltk', 'python', 'typescript'] | 44 |
10,114 | https://devpost.com/software/sweet-19 | Sweet-19
Our project Sweet-19 from Bulgaria is to develop multi-component product on herb base for those, who suffer from COVID-19 , helping to overcome of the negative consequences for the lungs from the infection, using synergy acting combination of components, (including Bulgarian Rose and others -
https://www.ncbi.nlm.nih.gov/pubmed/8954085
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4737971/
) , containing bio-active substances, a subject of different medical researches and publications, including from 2 of our team members Phd researchers .(See their publications for one of the main ingredients in Sweet-19 here:
www.siriusart.bg/GeraniumS.-article1.pdf
,
www.siriusart.bg/murzakhmetova2008-ANTIOXIDANT.pdf
- published in Phytotherapy Research and Toxicology Letters )
Sweet-19 contains 19 natural ingredients with antiviral, antioxidant, anti-inflammatory, expectorant, immune-stimulating and lung-mitigating effect, combined to achieve boosted recovery from the infection in synergy.
Covid-19 infection is considered as root cause for many other social and economic problems and boosting recovery from the infection could have positive effect in different areas - for example for business - more active employees, more active healthcare personal, to lower the pressure over the hospitals and over the national healthcare finances, considering the relatively low price for one treatment procedure - up to 3 packs of Sweet-19, 90 capsules - up to 30 EUR per patient (or less)
We target B2B business model for a product with global market with growth - According to the current analysis of Reports and Data, the global antiviral drugs market was valued at USD 49.87 billion in 2018 and is expected to reach USD 71.48 billion by year 2026, at a CAGR of 4.6%.
Our product is passed its developments stage and we preparing for production - by using facilities for production and packaging of existing pharmaceutical companies, distribution by wholesale pharmaceutical distributors.
We already issued documents for registration in the Bulgarian Food Safety Agency and this can give us EU-wide license. It is planned production to start in the beginning of July - with focus and strategy for sustainable development.
Strong side for the project is our Multi-disciplinary team:
Dimo Mitchev - serial entrepreneur with BS of entrepreneurship, MD undergraduate in Innovations with practical experience in business
Phd Silvia Abarova, Sofia Medical University, lead of laboratory of Nanotechnology in the medicine
Professor Phd Lubka Tancheva, Bulgarian Academy of Science
We joined efforts and this is our response for the crisis - helping to save life by using natural non-toxic ingredients, supported by medical researches, and soon the product to be on the market.
For now we bootstrapping and invest our own money in the product development, but also look for partners and support in order to help as much as possible people.
Thank you!
Built With
herbs | Sweet-19 | Our project Sweet-19 from Bulgaria is to develop multi-component product on herb base for those, who suffer from COVID-19, using synergy acting combination of components, (including Bulgarian Rose) | ['Dimo Michev', 'Lyubka Tancheva', 'Silviya Abarova'] | [] | ['herbs'] | 45 |
10,114 | https://devpost.com/software/germ-blocker | Thumbnail
Pulley System
The circuit
The box
Inspiration
My family gets
takeout
a lot. At our popular local pizza parlor, during the
COVID-19 lockdown
, employees typically stand outside rain or shine
delivering takeout food
to your car. The problem is that this isn't truly
contact-free
pick-up of food. We are still interacting with people who could be infected without knowing and surfaces that they have touched potentially increasing the
spread of the virus
.
What it does
Instead of handing the food/drinks for restaurant takeout, the people in the restaurant place the food/drinks in a box, then visit a link with a password
(like restaurant.com/pass1)
, making the box closed and secure with ultraviolet light killing all germs on the takeout containers. Then they send another password
(like pass2)
to a customer when they order takeout. When the customer comes, they go to the box and visit another link
(like restaurant.com/pass2)
, making the box open again. Then, they could pick up the food and go on their away. This process
reduces the risk of transmission
in takeout significantly and reduces the amount of people who need to be actively managing the pickup process, allowing restaurants to better allocate employees.
How I built it
I used an
Arduino MKR1010
, a step motor, a box, leds, breadboard, and a few other miscellaneous parts to build it. I programmed it using C++. The Arduino creates a web server, and when the user makes a get request to the server by visiting a link, the box opens or closes using the stop motor and a pulley system with threads.
Challenges I ran into
I was
limited
to the supplies that I had in my house so I created a pulley system powered a step motor to open and close the door. The threads often got
tangled up
when the motor was pulling them because I was only using 1 motor and it was opening and closing a big door. For a better prototype, I would create
automated hinges
to open and close the door.
Accomplishments that I'm proud of
I was able to open and close a physical box using
the internet
.
What I learned
I now know how to use a step motor with Arduino and create a web server with my Arduino.
What's next for Quarantine Pickup
I'd like to increase the quality of my prototype using better materials and redesign the open/close mechanism. I also can make a more secure, and user friendly website for customers to interact with, and restaurant employees to administer. I believe that as well as reducing contact during pickup this also has the potential to
increase efficiency
for a restaurant after lock-down since
less people
will need to manage the pick-up process.
Built With
arduino
c++
iot
Try it out
github.com | Quarantine Pickup | It uses a lockbox which can be opened or closed using the internet containing a UV light to drastically reduce the risk of transmission of germs and viruses during restaurant takeout pickup. | ['ram potham'] | ['Honorable Mention', 'Best Community Impact'] | ['arduino', 'c++', 'iot'] | 46 |
10,114 | https://devpost.com/software/faraspara-64ac10 | FaraSpara.is (eng: "LetsGoSave.is")
Inspiration
As tourism around the world had drastically reduced in the past couple of months, the Icelandic government encourages people in Iceland to travel locally. At the same time, many people have lost their job or have had to reduce their work hours. People are more focused on spending less and spending every penny more wisely. Lastly, people that travel more have overall better mental well-being.
The question that inspires FaraSpara.is:
How do we encourage people to travel locally in Iceland, and at the same time save money?
We believe that FaraSpara.is solves this question and will lead to better overall mental well-being for the people in Iceland?
What it does
FaraSpara.is is a web platform that collects all the coupons and offers in Iceland and displays them onto one map. It allows people more easily to plan their trips ahead. As a user, seeing all the offers in a particular region could encourage me to travel and to make a wiser decision of where to go.
With a simple filter, the user will be able to select from what offers providers the map displays, and also what kind of offer the the user is looking for. Foe example accommodation, food, activities etc.
How we built it
The team used Trello, Slack and Zoom to communicate as a team and to manage their tasks.
FaraSpara.is is React web application that is hosted on Google Cloud services.
It uses Firebase Realtime Database to store its data and to keep all the data synchronized.
FaraSpara.is will offer an API endpoint for offer providers to publish and update their offers.
Challenges we ran into
In the beginning, we had another idea, but after the public opinion polling, it showed that our idea wasn't working in Iceland. Therefore we needed to axe our original idea and start all over again with a new one.
Accomplishments that we're proud of
We are proud that we didn't give up after the challenge we ran into, and kept finding new solutions for this hackathon.
Secondly, we were able to deploy a MVP live before the time ran out.
What we learned
If there's a will there's a way
What's next for Faraspara
We want to seek mentorship, access to funding, and opportunities to pitch our product further.
Built With
google-maps
node.js
react
Try it out
faraspara.is | FaraSpara.is | A map based platform with all the offers in Iceland in one place. | ['Guolin Fang', 'Arnar Ingi Njarðarson', 'Egill Anton Hlöðversson'] | [] | ['google-maps', 'node.js', 'react'] | 47 |
10,114 | https://devpost.com/software/planet-code | Inspiration
The field of computer science is currently one of the most rapidly growing industries. Every day, more and more jobs are being created and the demand for programmers is increasing. Yet, computer science education is still lacking - especially for students in lower-income areas where there are not sufficient resources for a proper learning environment. Our solution aims to provide easy, accessible access to learn code from the bottom up and inspire a life long learning mindset.
What it does
We have built a
free, easy to use
online web IDE and compiler with a set of practice problems where users can challenge themselves and learn new skills. Users are able to select a problem they want to practice, then select a language of their choice, and begin learning. Users can also channel their creativity and build projects completely from scratch.
How I built it
M ongoDB to store compilation data for logging purposes
E xpress server to create the backend which renders the frontend
R eact to design and produce the front end of the website
N ode.js as an all purpose language which bridges the gaps between the front and back end
-AWS EC2 instance for hosting backend APIs and static web files
-MongoDB atlas for a cloud computing database so we wouldn't have to run on our own servers
-JWT authentication with PassportJS and bcrypt to encrypt passwords locally for security purposes
-Redux with React for state management (we used this mainly for JWT authentication)
Challenges I ran into
JWT authentication was a confusing and tedious process which tested our logical programming abilities
EC2 servers were difficult to launch
Express was acting up when we were trying to connect the front end to the back end
Accomplishments that I'm proud of
We are really proud of having completed a project of this complexity in the given time limit, especially as this was our first time doing something like this
What I learned
We learned the entire process of deploying a web app for production with a working frontend and backend API.
We also learned and leveraged the tools which AWS provided to ease our programming process
What's next for Planet Code
Our future plans include expanding to more languages, including higher level code problems, and expanding usability to incorporate teacher resources
We hope to keep Planet Code completely free to use and help underprivileged schools incorporate it into their curriculum
Built With
amazon-ec2
amazon-web-services
jwtauthentication
mongodb
node.js
passport.js
react
redux
Try it out
github.com
planetcode.net | Planet Code | An intuitive learning solution to bridge the divide in the computer science field | ['Om Chaudhary', 'Shamith Pasula'] | [] | ['amazon-ec2', 'amazon-web-services', 'jwtauthentication', 'mongodb', 'node.js', 'passport.js', 'react', 'redux'] | 48 |
10,114 | https://devpost.com/software/community-map-gzfnqv | Inspiration
Creating a community of various projects and services - ecosystem where projects grow and develop easier.
What it does
Location-based software platform acting as a
hub for various services
helping people in certain areas to
get better visibility, communicate and collaborate
more efficiently.
It’s basically an
open map
-like system allowing people and local (or global) businesses to participate in it using some of the services it provides. Part of them are built-in and developed by us, others -
by partner projects and developers
thus making the platform extendable and adaptive to various environments and conditions.
One of the biggest problems with crisis projects and initiatives is actually
segmentation
and lack of critical mass of user to get it going, too big Time to Market.
That's why we shifted our focus to helping other projects develop by providing the base to build upon.
It's not just the crisis project - such ecosystem is needed for more effective society that would be ready and more responsive for any current or future situation.
The information in the platform is anchored to a certain physical
locations
or
areas
(location + radius). It can also be seen as
layers tagged with category/topic
.
The users are able to
upvote the information
they like or find important. This and filtering the relevant content helps to
reduce the informational noise
to a much more bearable level.
The short list of relevant projects include:
Local community volunteers
Online ordering and delivery
Social games and storytelling
Business survival
Community journalism
Local crowdfunding
We now have 2 ways of integration with 3rd parties - React-based SDK (powerful and flexible) and embedding with iframe (easy) along with public REST API.
We managed to create several important partnerships in the last month with projects using Open Community Map as service provider.
One of them is
Non-Zone
project - the global map for experiential and solo-travelers - our platform served efficiently for storing and retrieving project data along with fully customizable UI - dark theme of the map, their own design of all main components and controls.
How we built it
Google Maps API, Firebase, React, Typescript
Challenges we ran into
Finding the right niche to focus on.
Building reusable technical stack providing enough value.
Accomplishments that we're proud of
Growing community around the project. Finding strengths to keep going.
Creating React-based SDK allowing powerful integrations.
Built partnerships with real-world projects, fulfilling their needs for custom UI and behavior with our SDK thus validating the idea.
What we learned
There are many like-minded people out there, trying to improve the world around them. No need to compete with them, better make friends and grow together.
What's next for Community Map
Building bigger community around the project
Building flexible enough technical solution that would work for most projects
Creating more value for partners and end users
Join our Community!
Feel free to join our
Slack workspace
- we're looking for partners, supporters and collaborators!
Built With
firebase
google
map-embedding
maps
public-api
react
Try it out
communitymap.online
github.com
www.opencommunitymap.org
docs.google.com | Open Community Map | Platform for building local community and location-based services. Partnerships with other projects. | ['Dmitry Yudakov', 'Ivan Orlović', 'George Petrov', 'Ivan Stavrev', 'Станко Йорданов', 'Mohamed Hany'] | [] | ['firebase', 'google', 'map-embedding', 'maps', 'public-api', 'react'] | 49 |
10,114 | https://devpost.com/software/litfit | Login Screen
Achievements
Calorie Calculator
Tips and Health
Resources
Steps/Main Page
LitFit Wearable (M5StickC)
Heart rate and blood oxygen level sensor
Inspiration
Obesity is one of the deadliest killers in society today. About 1.9 billion people over the age of 18 are overweight: 1/4 of the entire planet and 650 million people out of that 1.9 billion being obese. Obesity alone causes
2.8 million deaths every year
. It is safe to say that obesity is one of the most common killers of today, and is overlooked heavily by people. We sought to facilitate weight loss and encourage healthy living by creating a product that encourages you to be mindful of your daily activity. During the lockdown, people are more sedentary than ever. LitFit aims to eliminate a sedentary lifestyle and encourages users to adopt a healthier lifestyle.
What it does
Our app has multiple features that all are geared toward adopting a healthier lifestyle, whether it be through increased exercise or better eating habits. Our app tracks your movements and exercise using Step tracker, which tracks your daily, weekly, and total steps. Total steps are then translated into Exercise points, which earn you achievements, giving the user a sense of accomplishment, motivating them to live even healthier and be more active. The Calorie Calculator utilizes a novel Machine Learning algorithm to detect the food calories as well as the type of food given an image, which is uploaded by the user. The Health tab tracks your pulse and oxygen percent saturation, as well as gives you tips on how to live a more active lifestyle: the three golden rules of LitFit. We also provide useful resources on quick workouts that the users can quickly jump. All of these features contribute to an amazing application that promotes healthy living.
How we built it
We build the front end entirely out of flutter, a multiplatform mobile application SDK.
The hardware base for this project is an M5StickC microcontroller. The M5StickC has an ESP32 as its base with an in-built 6 axis IMU sensor. The IMU takes the accelerometer and gyroscope reading which are then used to calculate the number of steps taken by a user. External hardware plugins were also used to gather surrounding data. These sensors provide us with ambient temperature (outside temperature), Ambient Humidity, Ambient air pressure, and heart rate (pulse). All the reading from the wearable device are then relayed to an open-source mobile app giving the user a real-time data with a user-friendly interface
The backend servers are implemented as APIs running on a virtual server and using MongoDB as the primary database.
Challenges we ran into
One challenge we ran into was uploading the image onto a server. James, the frontend designer, had trouble figuring out how to stream the data back from the output of the backend into the UI asynchronously, however, he figured it out after a few hours of trial and error.
M5StickC is a 2019 product, there is little to no online support for troubleshooting. Working with such new hardware and navigating through its library to get useful functionality out was a huge challenge.
Accomplishments that we're proud of
We are proud to actually accomplish what we set out to do in the beginning. Our initial goals were to build the ML algorithm for calorie detection and track steps, heart rate, and blood oxygen. However, we went above and beyond our initial goals through hard work and implemented further capabilities, such as the achievements page, login, additional resources, inspirational quotes, and more. Linking up the hardware with the software felt amazing because it seemed like everything was clicking into place.
What we learned
I learned a lot about how servers communicate with clients. I learned how to use HTTP get and post requests, as well as sending images to a server in a multipart server request. I also learned how to create a better and simple UI for a better UX. - James
What's next for Lit Fit
We hope to develop LitFit further to be more lightweight, as well as polish the Front-end and add more features. Some of the features are not fully functional, such as Login and achievements, but those features can be implemented with more time. We believe LitFit can actually be a revolutionary weight-loss miracle product and hope to pursue that goal of promoting a healthy lifestyle.
Built With
arduino
flutter
mongodb
python
Try it out
github.com | LitFit | Revolutionizing Weight Loss Tactics | ['James Han', 'Muntaser Syed', 'Dayna AC', 'Prashant Bhandari'] | ['Best Health Hack'] | ['arduino', 'flutter', 'mongodb', 'python'] | 50 |
10,114 | https://devpost.com/software/uti | UTI
Áskorunin sem verkefnið ykkar leysir - Í dag horfin þjóðin fram á tímabundið atvinnuleysi uppá 25% og spáir seðlabanki íslands 12% atvinnuleysi á þriðja ársfjórðungi og því margar fjölskyldur sem eiga því um sárt að binda. Félagslegir fylgifiskar aukins atvinnuleysis eru margir og bitnar því miður oft illa á yngstu kynnslóðinni. Aukin drykkja, streyta, heimilisofbeldi, kvíði, þunglyndi, sjáfsmorðtíðni eykst o.sfv. Við viljum auka uppbyggilegan tíma kjarnafjölskyldunnar í von um aukið geðheilbrigði barna með því að nýta almenningsrými betur.
Appið ÚTI verður aðgegnilegt og auðvelt í notkun þar sem þú með örfáum handtökum getur valið þér spennandi áfangastað innan borgarmarkana, lesið umsagnir um svæðið, séð myndir og fengið leiðsögn um hvernig best sé að koma sér á staðinn. Á tímum félagslegra takmarkanna og efnahagsþrenginga er mikivægt að skipuleggja frítíma sinn vel og hámarka gæða samverustundir með sínum nánustu og ráðstafa tekjum sínum skynsamlega.
2.Lýsing á lausninni ykkar (þ.m.t tæknileg atriði, hönnun og hvaða tól voru notuð) - Snjallsímaforrit. Notuðumst við forritið Figma og frjótt ímyndunarafl. Myndavél.
3.Hvað þið hafið gert yfir helgina - Hannað appið og tekið saman hvaða möguleikar þurfa að vera til staðar, búið til kynningu, notendaprófun og drukkið kaffi.
4.Áhrif lausnar á krísuna - Gæðastundir og utandyraafþreying er aðeins handtaki frá þér. Aukin útivera í góðum félagsskap stuðlar að bættri geðheilsu borgaranna.
5.Hvað vantar uppá til að geta haldið áfram með verkefnið - Fjármagn, samstarfsvilja borgarinnar og samtaka sveitafélaga á höfuðborgarsvæðinu
6.Virði lausna(r) eftir krísuna - Augnsamband er verðlaust en lífsnauðsynlegt. Covid hefur haft magvíslegar félagsfræilegar afleiðingar. Við berum meiri virðingu fyrir því að geta farið út og mætt fólki óttalaust á förnum vegi, sundlaugarferð er ómetanleg hvað þá þegar þú færð bros frá ókunnri manneskju og þú setur ekki verðmiða á geðheilbriðgði. Kjarnafjölskyldur hafa náð að tenja að nýju og mögulega öðruvísi en áður, samfélagsmiðlar hreinlega loga af myndbrotum af fjölskyldum að hafa ofan af fyrir sér með einföldum hætti. Okkur þyrstir í eitthvað einfalt, gleðin virðist vera falin í hinu smá og sambandinu á milli fólks frekar miklum íburði og lúxus. VIð viljum auðvelda fólki að velja sér afþeyingu við hæfi sem kallar ekki á mikinn kostnað enda sannast hið fornkveðna að maður er manns gaman.
Built With
figma
pages | ÚTI | Þig langar út. Veröldin stendur þér opinn og úr mörgu að velja. En hvað á ég að gera? Snjallforritið ÚTI heldur utan um alla fría afþeyingu sem hægt er að sækja í þínu nærumhverfi. | ['Arnar Dan Kristjánsson', 'Ómar Yamak'] | [] | ['figma', 'pages'] | 51 |
10,114 | https://devpost.com/software/trachio | Trachio Logo.
Inspiration
As we can tell by an enormously growing infection rate, it's important that we diagnose potential symptoms of COVID-19 and communicate with our local health departments.
What it does
Trachio is a web app that allows you to upload spectrograms of a patient’s lung sounds in order to diagnose and report potential symptoms of COVID-19 to one’s local health department.
How I built it
I created a Flask backend that communicates with a dynamic HTML/CSS frontend, which allows you to upload audio spectrograms. A classification is made through the Google AutoML Vision API and returned to display potential symptoms on the frontend. There is also a feature that allows you to quickly contact local health authorities via email, which is plain HTML.
Challenges I ran into
Of course, getting Google Cloud authentication to work properly was a hassle. Also, I was a bit slow to develop because I had never used Flask before.
Accomplishments that I'm proud of
But regardless, I'm really proud of how many tools I learned to use in the past 24 hours. I dared myself to go solo and I feel like it paid off for my own learning.
What I learned
Basically the entirety of Flask, and servers in general.
What's next for Trachio
Improve the model's accuracy, and make the frontend prettier.
Built With
css3
flask
html5
keras
python
teachable-machine
tensorflow
Try it out
github.com | Trachio | A web app that can hear potential symptoms of COVID-19 in your breathing and report them to your local health department. | ['Borna Sadeghi'] | [] | ['css3', 'flask', 'html5', 'keras', 'python', 'teachable-machine', 'tensorflow'] | 52 |
10,114 | https://devpost.com/software/covid-oversight | Details
SS1
SS2
SS3
Inspiration
Let's consider the story of Chris. He is still under lockdown and he is worried about his
health. Currently he is not aware of the risky areas surrounding him. So he cannot leave his home
to visit the local grocery store (which he prefers to buy from over online stores) without panicking.
Also he fears he might take a route through a region infected with the virus which can affect him as
well. And even if he reaches the store safely, he might be faced with a crowd which doesn’t
maintain social distancing; and even if they do so, they all come at the same time leading to long
queues. Even after all this, there is still a chance that he might be affected but asymptomatic and
he might further infect others as he might be unaware of whether he had been in contact with
anyone before.
What it does
COVID-Oversight tries to mitigate the above problems with a one-stop solution for
visualizing local risky areas, finding safe stores and safer routes for visiting them, creating
systematic queues for reducing delays and a case reporting mechanism for leveraging
crowd-sourced data to map the crisis and protect one and all
How I built it
Here maps, Twilio API, IBM Cloudant, IBM Cloud Foundry, Postman
Accomplishments that I'm proud of
Completed the hack in under 24 hours
Created an end-to-end communication, reporting, and verification system
What I learned
Apllication of Twilio and Postman
Cloud hosting
What's next for COVID-Oversight
● Integrate chatbot inside the web app
● Use IBM Watson API for further diagnosis on chatbot
● Use IBM Watson Studio to design a forecasting algorithm for better queue management and
COVID spread
● Use Here Maps geofencing API and Twilio Notify API to alert users when they enter risky
areas
Built With
flask
here-geocoder
here-map-image
ibm
postgresql
postman
python
twilio
Try it out
github.com | COVID-Oversight (Team OopsIDidItAgain) | COVID-Oversight tries to mitigate the above problems with a one-stop solution for battling Covid-19 | ['Saumo Pal'] | [] | ['flask', 'here-geocoder', 'here-map-image', 'ibm', 'postgresql', 'postman', 'python', 'twilio'] | 53 |
10,114 | https://devpost.com/software/ibm__hackathon__troubleshooters | Inspiration
What it does
How we built it
Challenges we ran into
Lots of Challenges
Accomplishments that we're proud of
What we learned
What's next for MEDICO
Built With
css
deeplearning
django
html
image-processing
javascript
postgresql
python
rasa
tensorflow | a | a | ['Jayit Saha', 'Ishita Dasgupta'] | [] | ['css', 'deeplearning', 'django', 'html', 'image-processing', 'javascript', 'postgresql', 'python', 'rasa', 'tensorflow'] | 54 |
10,114 | https://devpost.com/software/peeker-subr6c | Peeker
Module with Rechargeable Battery Case
Front and Back View
Our Seekr Team has grown!
The problem our project solves:
My grandfather is visually impaired and depends on others to do everyday tasks. Given that he is reliant on touch, we are worried that he will be susceptible to COVID-19. This has led him to struggle with self-isolation because of having no companionship, also making him more prone to emotional distress during this period of self-isolation.
This is the reality of 200 million people who are visually impaired around 188 countries. And research shows that the number is expected to triple within the next 4 decades. As social and emotional well-being is of the utmost importance for these marginalized people, the Peeker aims to provide life-long companionship and alleviate emotional distress.
The solution we bring to the table:
The Seekr is a personalized, interactive voice-assistive device with a bone-conducting earpiece. To use the Seekr, the user does not require any technical knowledge and can interact freely and independently. The user interface is designed in such a way to imitate the human interaction of able-bodied people. The bone-conducting earpiece does not block their natural senses and the rotating clip allows for convenient placement of the device
There are two main features of the Peeker 1) Inbuilt thermal imaging sensors which alerts the visual impaired of other people with high body temperatures around them 2) Text and Object detection through which the Peeker will alleviate loneliness and allow the experience of live companionship during this period of self-quarantine.
What we have done during the Hackathon:
We have developed a working prototype of the Peeker with standard features such as object and text detection within the course of the hackathon. The working prototype also receives speech input from the user and responds using voice output, making it a complete interactive device. In addition, we have developed the 3D design of our proposed final product, keeping minimalistic design, user experience, and fashion in mind.
To ensure that our features meet the needs of the visually impaired, we met some visually impaired workers in the front-line such as those working at restaurants, convenience stores, and NGOs to test our prototype and discuss which features would be most useful to them even after the COVID-19 pandemic.
We have also conducted thorough market research to analyze our competitors and have realized that there is no product like the Seekr especially with its adaptable and customized features. According to research, there are many other devices within the assistive device market, however, 39.9% of differently-abled people do not like to wear such devices as it usually is very bulky and medical equipment like or is blocking some of their senses. Hence, our device offers quality services without blocking any of their natural senses.
The solution’s impact on the crisis:
Our solution is simple. The Peeker protects the visually impaired from people with high body temperatures who might be susceptible to COVID-19. This is to encourage social distancing and reduce the chances of getting COVID-19.
Furthermore, the Seekr’s objective is to reduce reliance on touch so that the visually impaired are not in contact with the surfaces unnecessarily through its features. Finally, the interactive component of the device engaged the visually impaired to alleviate emotional distress by offering companionship and living independently. For instance, the Peeker allows the visually impaired to conduct activities such as reading a book, distinguishing between different objects, reading road signs, etc. which they otherwise could not do without a helping hand.
The necessities to continue the project:
Currently, our prototype is deployed on the Raspberry Pi. Going forward, we would like to design the integrated circuit of the final product ourselves, so the device is more compact and durable. In addition, our product will also have a silicone cover which is easily identified by the visually impaired.
Our current solution is trained on the COCO-object detection dataset, restricting the number of total objects detected to 80. Going forward, we want to train the model with our dataset focusing on the common items that the visually-impaired person uses on a daily basis.
Subsequently, we will partner up with manufacturing companies to mass-produce the Seekr. We are also looking to collaborate with NGOs, Governmental Organisations, Optometrists, and Eye Hospitals to develop more user-friendly features so that every Seekr is customized to the needs of the individual.
The value of our solution after the crisis:
The Seekr allows independence with ease to the visually impaired through Peeker. For example, they would be able to go grocery shopping with the help of text detection. They would be able to navigate where things are with the help of object detection. Other added features within the premium package such as different languages, haptic feedback accessories, heart rate, and blood pressure monitor, face recognition, and color detection ensures that the Peeker is a life-long companion that accommodates the visually impaired no matter which demographic they are from.
Built With
coco
opencv
pytesseract
python
pyttsx3
raspberry-pi
speech-recognition
yolo | Seekr | Your Visual Companion | ['Turzo Bose', 'Lamia Sreya Rahman', 'Kartikay Sharma'] | ['2nd Place', 'Top 10', '1st Place Hack'] | ['coco', 'opencv', 'pytesseract', 'python', 'pyttsx3', 'raspberry-pi', 'speech-recognition', 'yolo'] | 55 |
10,114 | https://devpost.com/software/telemedml | TeleMedML Logo
TeleMedML System Architecture
Deep Neural Network Diagram
TensorFlow Machine Learning Shell Output
iOS App Login Screen
iOS App Patient Welcome Screen
iOS App Historical Transactions
iOS App Report New Symptoms
iOS App Results Page With Start Call Option
Website Transaction View
Inspiration
With the recent COVID-19 pandemic, the healthcare industry has been subject to unprecedented amounts of strain. Hospitals worldwide have been filled beyond capacity, and numerous medical professionals are being worked to exhaustion. As a result, any innovation that has the potential to save time, reduce exposure to the virus, and secure personal medical data in the process has the potential to save countless lives.
What it does
TeleMedML provides a basic disease diagnosis for a user given a list of their symptoms. The user first selects which symptoms they are experiencing from a predefined menu. This information is then passed into a deep neural network, which analyzes the given data using a trained model, and returns the diagnosed disease as well as a confidence score. The user can also enter a short list of phrases describing their symptoms, which are sent to the server and analyzed using natural language processing, returning a diagnosis. Each data transaction is added to a series of pending transactions, which are subsequently verified using a proof-of-work algorithm and annexed to a block in the blockchain.
How we built it
App
The iOS app begins with a secure login and signup page for users. Patients are able to view the entire history of previous transactions encrypted with SHA-256 hashes and secured on a decentralized blockchain network. A user is also able to fill out a symptoms form and write additional symptoms, which is encrypted and sent to the server for analysis. If the returned values indicate a potentially significant diagnosis, a doctor and patient are connected for real time communication, ensuring that a doctor’s valuable time is spent on those who need them the most.
Server
The flask-based server handles secured requests from clients and encodes all data points into blocks for storage in the blockchain network. Every time a client-side transaction occurs, the data is given a unique hash, encrypted, and linked to a previous block, chaining the data set together. A recursive algorithm was developed to work backwards through the blocks and decrypt the transaction data to securely access the full data set.
Alongside the server, a novel TensorFlow-based deep neural network machine learning model was also built and trained on a relevant data set. The data is reshaped on a 0 to 1 scale, regularized, and sent through 4 layers of decreasing node counts with relu and sigmoid activation functions to predict disease diagnoses based on inputted symptoms. This prediction was combined with Amazon Comprehend Natural Language Processing algorithms to analyze the connotation of written symptoms to quantify the severity of the diagnosis.
Website
A website was built as a healthcare portal to view all transactions made by clients. After a secure login, doctors are able to view a table containing full transaction data accessed and decrypted from the server using the recursive data access function.
Challenges we ran into
One of the issues we encountered early on was establishing the infrastructure for the blockchain. Most of our group had relatively little experience with blockchain prior to the project, so figuring out how to implement each block, compute its hash, and connect it to the overall blockchain with a proof-of-work validation algorithm was challenging. Another difficulty we ran into was with sending requests to the server. We received internal server errors since the server we were hosting on was outdated and insufficiently large for the TensorFlow modules that our program incorporated, so we updated the server’s Python environment and upgraded its storage capacity.
Accomplishments that we’re proud of
We are extremely proud of being able to successfully configure and train a deep neural network with an expansive dataset. This allows us to more accurately tailor the user’s diagnosis to his or her individual symptoms, creating a more personalized experience. We are also proud of managing to create a decentralized blockchain network using Python and encoding each transaction through a cryptographic hash function based on the current data and previous hash. The chaining functionality and the proof-of-work algorithm were also difficult to implement, so it was rewarding to be able to do so.
What we learned
Given the current circumstances with the pandemic forcing us to work remotely, we had to learn how to communicate effectively and collaborate virtually in order to produce the desired end result. We also learned about the workings of blockchain technology, including the hashing and validation algorithm involved to ensure the security of the chain.
What's next for TeleMedML
There are several future options that we can pursue with TeleMedML. Among these is the creation of a convolutional neural network that can analyze user images. The addition of this feature would be useful in diagnosing diseases with physical symptoms, broadening the abilities of our detection software. We could also integrate the project with certain hardware components, such as sensors that would measure the user’s heart rate, respiratory rate, and other vital signs to improve diagnosis accuracy.
Built With
ai-applied-sentiment-analysis
amazon-ec2
amazon-web-services
blockchain
flask
keras
machine-learning
python
sashido
swift
tensorflow
Try it out
github.com
telemedml.macrotechsolutions.us | TeleMedML | A mobile application that employs machine learning and AI-applied sentiment analysis to assist in the telemedical diagnosis of respiratory illnesses through a blockchain-secured backend. | ['Jack Hao', 'Elias Wambugu', 'Sai Vedagiri', 'Arya Tschand'] | [] | ['ai-applied-sentiment-analysis', 'amazon-ec2', 'amazon-web-services', 'blockchain', 'flask', 'keras', 'machine-learning', 'python', 'sashido', 'swift', 'tensorflow'] | 56 |
10,114 | https://devpost.com/software/vlearn-fxhc3t | Inspiration
Awareness and Education are two of the essential ingredients of developing belief. Awareness has been highlighted by many as a key indicator of success in a range of performance environments. It is arguably the most important ingredient for belief as every other skill, quality, and task you have and undertake can be traced back to awareness. Being aware will give you an insight into your beliefs and whether they are positive or holding you back. But it takes a lot more than information to make kids understand and follow things. While on the other hand education is important to shape an individual. I wanted to make something that helps create awareness, about the do's and don't s of Covid-19 among kids, alongside it being entertaining, immersive, and educational. What better way than games to do this, and as VR is the best immersive technology available out there and keeping in mind the tendency of kids to explore new things, this application has been developed.
What it does
It is a multiplayer Virtual Reality Quiz Application. The app has many topics to choose from to play, which also helps spread awareness about COVID-19, other preliminary things that kids need to learn. It also has a real-time leaderboard of every topic that people choose to play.
How we built it
A. Unity3D- It is built on unity3d which is a powerful cross-platform 3D engine and a user-friendly development environment. I used unity to build the whole game from UI to Realtime database system to the game itself.
B. Google VR SDK - a new open-source Cardboard SDK for iOS and Android. I used the Google VR SDK to develop the VR game scenes, which is not possible without it.
C.Photon PUN - Photon Unity Networking (PUN) re-implements and enhances the features of Unity's built-in networking. I used it for networking.
D. Google Firebase - Firebase is Google's mobile application development platform that helps you build, improve, and grow your app. I used Firebase, to make manage database systems to verify credentials, sore data, retrieve data, update leaderboards.
E. Photoshop - I used Photoshop for the development of user interface elements.
Challenges we ran into
As this is a multiplayer application, to store and retrieve data in real-time (real-time database) I used Google-Firebase (Unity SDK), integrating it with unity has been tough work. As this is the first time I was working on networking using PUN, it has been a problem, as networking is not as easy as it seems to be, with PUN having many internal issues in my version of unity, I had to make the whole non-networking scenes again in a new version that supported PUN.
Accomplishments that we're proud of
I could finish the development of the application in less than a day.
What we learned
Integration of realtime databases with unity apps, networking.
What's next for VLearn
The VR application currently supports Android, Windows and hence the next goal would be to make an ios version, redefine UI, and releasing it to production so that users can have an immersive experience of modern gaming and education techniques.
Built With
c#
firebase
googlevr
photon
unity
Try it out
github.com | VLearn | Immersive Approach To Awareness and Education. | [] | ['submitted the same hack to multiple hackathons and did not realize this is not a serious hackathon?'] | ['c#', 'firebase', 'googlevr', 'photon', 'unity'] | 57 |
10,114 | https://devpost.com/software/the-virtual-medic-fwbdr1 | LOGO
Disease Prediction Example
Disease Prediction Example
Disease Prediction Example
Barcode Scanner backend
Medicine Reminder
Medicine Reminder Setup
Inspiration
While access to healthcare and hospitals remain very delicate in these times, we are developing a full AI based model that can be easily used and deployed to automate the process of patient hospitalization.
What it does
As the initial part of the project we have developed the health application serves several purposes. To begin with, the app has a Disease Predictor, which takes symptoms as the user input and predicts the disease based on the
same. The application also implements a Barcode Scanner that scans the barcodes on different
medicines via the camera and displays the details about the same like usage, effectiveness
and side effects. The app also lets the user input their daily medication including the number of doses and their
timings. On adding, the app would send the user a notification at every dosage time.
How do we aim to automate hospital interface with the same ?
Through the disease prediction model, i further aim to deploy a consultation mechanism that based upon the user symptoms connects us with the related doctor who specializes in the same field, for e.g orthopaedics, psychiatrists, general surgeons etc. Deployed in a hospital, the same can be used to assist patients with database management as well consultation management.
How I built it
The app is completely based on python with android being used as the front end framework.
Accomplishments that I'm proud of
The accuracy of the model and its ability to predict upto 41 diseases based upon the 132 different symptoms provides evidence of the advancements that can be made in this field.
What I learned
Being a machine learning enthusiast, i had never used android for deploying a front end to my application, hence android is the very main thing that i acquired from the project
What's next for The Virtual Medic
I plan to work on the UI of the application as well as plan to integrate a virtual video conferencing tool that can connect the user to nearest doctor for health consultation.
Built With
android
flask
keras
machine-learning
python
Try it out
github.com | The Virtual Medic | ML Based Disease Prediction and Hospital Automation | ['harsh pandey', 'Neel Kukreti', 'Tanvi Thakur'] | [] | ['android', 'flask', 'keras', 'machine-learning', 'python'] | 58 |
10,114 | https://devpost.com/software/corona-bay | Inspiration
We initially wanted to help take off the load from healthcare workers by using neural networks to make it easier to diagnose COV1D-19 from CT scans of lungs. While we were working on Corona Bay, we realized that we could also help the general public by giving them the information and resources to understand the situation of the pandemic and self-diagnose for coronavirus.
What it does
Corona Bay has 4 main features.
1) Detection: a neural network model we created and trained from scratch that predicts if a patient has COVID-19 based on CT scans of their lungs. This was created and trained using Tensorflow and has 98.09% test accuracy.
2) Statistics: a dynamic map that lets users hover over each country to get the stats of the pandemic situation in all of the countries. This information is always updating and can help people understand where the situation is worse and how they might need to act based on the situation in their country.
3) News: a constantly updating feed of coronavirus-related news. This allows users to stay up-to-date on the latest information about the pandemic while staying on one site.
4) Symptoms: a checklist of symptoms that allows users to get a good idea what they need to look out for and what actions they need to take if they have any of those symptoms.
How I built it
We used React.js for most of the project, with Python 3 and Tensorflow Keras API for the machine learning model.
Challenges I ran into
Integrating Tensorflow in Python to the web app created so many issues. It was really hard to just migrate to JavaScript, and then we got memory leaks when trying to use it. Also, React.js doesn't make it easy to style components or have an overall layout, so it was hard to make the UI presentable. The datasource we used for the statistics page actually went down right when we were recording the video! It took a lot of effort and determination to conquer these challenges.
Accomplishments that I'm proud of
We are very proud that we were able to get all 4 features working well and that we were able to finally get rid of the errors. The ML model worked surprisingly well with a small dataset of less than 1000 images. We are also very proud that the interactive map is easy to use and visually shows the effect of the pandemic.
What I learned
We learned how to use machine learning to solve real-world problems with limited resources. We also learned how to use React.js to make a fast web app that can keep up with users' needs.
What's next for Corona Bay
We only had a short time to develop this project, so we didn't have the time to style everything well. We were mainly focused on getting the best features out there, which was especially hard due to the incredible number of errors that came up in the process. We are looking to shape the web app so that it can be used by the public and refine the minor styling details so that we can present our great features in the best way.
Built With
mongodb
react.js
tensorflow
Try it out
github.com
coronabay.org | Corona Bay | Stay home. Stay informed. | ['Shamith Pasula', 'Om Chaudhary'] | [] | ['mongodb', 'react.js', 'tensorflow'] | 59 |
10,114 | https://devpost.com/software/papure-2tpv60 | paPURE Setup - Angeled View - Utilizing Snorkeling Mask
paPURE Setup - Front View - Utilizing Snorkeling Mask
paPURE Setup - Side View - Utilizing Snorkeling Mask
paPURE Setup - Back View - Utilizing Snorkeling Mask
Original Prototype of paPURE Design View
paPURE Base - Top View - Inserted Compressor Fan and Fan Shroud
paPURE Base - Top View - Empty
Abstract:
The Filtrexa paPURE is an affordable, 3D printed powered air-purifying respirator (PAPR) that provides our healthcare providers with better protection than even N95s, especially in high-risk and confined environments (E.g. ICUs, ERs). It incorporates readily available components and can be easily manufactured locally. We can thus increase accessibility of PAPR technology by enabling hospitals to produce and purchase it as per their need, optimizing the 3D-print to produce it at a cost that is over ten times cheaper than PAPRs currently offered on the market, and using exchanging highly specific components for readily available and affordable components. The Filtrexa paPURE also has made design changes to improve comfort, ease of use, and longevity of PAPR technology.
Introduction
One of the most immediate and impactful effects of the COVID-19 pandemic are global shortages of proper personal protective equipment (PPE), forcing healthcare providers (HCPs) to consistently work in high-risk environments and unnecessarily place their own lives at risk. Our product is a powered air-purifying respirator (PAPR) that creates a positive pressure field with filtered air to protect frontline healthcare workers from airborne threats such as SARS, TB, measles, influenza, meningitis, and most immediately COVID-19. This technology improves upon current PAPR devices in terms of cost-efficacy, ease of access, and ease of implementability. Our solution not only serves to combat general PAPR shortages across the country, but also eases PPE shortages that arise from COVID-19 and future patient surges through an on-demand 3D printing process.
Value Proposition
Powered, air-purifying respirators (PAPRs) are currently the gold standard in medicine when treating patients diagnosed with COVID-19 and other highly infectious respiratory diseases[1] due to their positive pressure system. This system filters air extremely effectively before it reaches the airway. However, this technology package is costly, often totaling over $1800[2] and requires highly specific components which are currently in short supply. Both well-established hospitals such as the Mayo Clinic (with a ratio of 4500 physicians to 200 PAPRs)[2] and smaller county hospitals such as the Hunterdon Medical Center (where not a single PAPR is available to physicians) are facing critical shortages of personal protective equipment (PPE). Evidently, the aforementioned barriers render PAPR technology inaccessible to most frontline HCPs, leaving them far more vulnerable to infection.
Alternatives to PAPR technology include N95s, surgical masks, and currently, homemade masks due to a worldwide shortage of PPE. Although they provide a barrier against aerosols, standard and surgical N95s are easily compromised with an improper fit and have an assigned protection factor (APF) of ten[4], while PAPRs have an APF of 25 to 1000, rendering PAPRs far more effective at protecting HCPs. Additionally, physicians tend to prefer PAPRs over N95s because PAPRs are reusable, easier to breathe through, do not require fit testing, and make them feel safer[1][5].
Our Solution
In order to provide purified air to those in the most high-risk environments, we have developed a novel, inexpensive, and accessible PAPR device that is both lightweight and 3D-printable within 24 hours. Printed using readily-available filaments (e.g. PLA, ABS), paPURE is mounted to the user’s hip and assembled via on-hand motors and batteries. (See Appendix 2.5).
Through PAPR technology, HCPs are given access to filtered positive pressure air systems (in which airflow serves to seal any gaps in masks, as well as reduce respiratory fatigue in HCPs), drastically decreasing infection risk in areas such as ICUs and ERs.
Our device’s customizability allows for interoperability with existing masks, filters, and hosing (See Appendix 3.1), enabling hospitals, or possibly surrounding hobbyists/machinists (regulatory dependent), to produce PAPRs for their physicians and nurses. For images and procedures: See Appendix 1 and 2.
The system features a dual battery set-up that allows HCPs to utilize one or both batteries independently, as well as swap out batteries while the device is in use (such as during an extended patient procedure that a physician cannot leave from). Additionally the belt system, with the fan/chassis on you lumbar and 2 battery on ports on both hips gives a better weight distribution for improved comfort in extended usages (such as a surgeon leaning in an awkward position during the operation). The use of an inline filter means that air is pushed into a filter at the end of the device, as opposed to regular PAPRs that pull air through filters. This setup means that the risk of an imperfect seal compromising air quality is virtually nullified as no negative pressure system exists after air filtration in our device. Additionally, the aforementioned inline filters are better at filtering biological particles without disturbing airflow than standard P100s and are already used extensively in anesthesiology and respiratory care departments of hospitals across the country.
After printing the device’s chassis and shroud, integration with an inline bacterial/viral filter, housing, and masks will be followed by on-site fit and efficacy testing to ensure proper device assembly.[6] Then, an HCP would don their mask, clipping the paPURE chassis and two smart power tool batteries to a provided utility belt, and connecting to the mask via a hose. At most, we expect equipping paPURE to add 1-3 minutes to a medical professional’s routine and greatly improve safety and comfort.
An Improvement from Traditional PAPRs
Our technology eliminates the need for a middle-man manufacturer. Because the only required components are readily available to hospitals and clinics, hospitals can produce the device as per their need. We anticipate working with local 3D-printing facilities to produce and assemble the product, then to distribute the Filtrexa PAPR to hospitals. Physicians and NIOSH officials (most notably Richard Metzler, the first Director of the National Personal Protective Technology Laboratory at NIOSH), have already given us promising feedback regarding the need for this technology, and we are looking into potential partnerships with PPE developers and/or motor manufacturers. Some hospital purchasing experts have additionally communicated a need for affordable PAPRs. Our solution is over 10 times cheaper than current PAPR technologies ($155; see Appendix 2, Figure 2), increasing likelihood of adoption. To allow smaller hospitals to easily obtain our technology, we plan to raise awareness of our business through phone calls and emails to hospitals throughout the country.
Implementation Plan
paPURE’s solution is implementable almost immediately. The main barrier between our tested prototype and implementation is FDA/NIOSH approval (FDA EUA Sec II/IV Approve NIOSH Certified Respirators). We have also identified conditions that will allow us to expedite the regulation and roll-out of the production (such as the IDE and 501(k) pathways suggested to us by regulatory experts).[15] Because our device is based on existing PAPR technology, this predicate nature in combination with existing precedents for 3D-printed medical technology, can help expedite its deployment.[16]
Our technology minimizes the need for a middle-men. We are partnering with regional additive manufacturers to allow for quick, standardized, yet still decentralized production of the device. The only required components are readily available to hospitals and clinics, allowing HCPs to produce the device as per their need. Additionally, if regulatory approval permits, we may utilize local schools/universities/hospitals with on-site 3D printers in order to allow for fully decentralized manufacturing. After NIOSH Approval, our device (and depending on regulatory guidelines, possibly our CAD file) will be sent to those with 3D printers available, who could print and assemble the device (See Appendix 3.1).
Players involved in the production of this technology would be hospital assembly workers, but the design is easily assembled by anyone (the only limitation being that assembly be done under a fume hood to prevent contamination). Physicians we’ve already talked to have given us promising feedback regarding the need for this technology. We are currently looking into potential partnerships with PPE developers (See Appendix 3.2) and/or motor manufacturers. Our solution is over ten times cheaper than current PAPR technologies (See Appendix 3.3), increasing the likelihood of adoption.
Due especially to the length of this health crisis, hospitals are facing dire shortages of PPE. This has accelerated our timeline, but we are confident that it is feasible given the current state of emergency (See Appendix 3.4).
Since this product has yet to be implemented in hospitals, we are writing to you today to gauge your interest in paPURE. Additionally, any feedback you have relating to our product or interest in helping us with laboratory testing of paPURE would be greatly appreciated.
We anticipate our project to reach full fruition within 6-12 months. Our timeline is as follows. Our second iteration of prototyping for clinician testing will conclude in 2-3 weeks, followed by initial clinical testing, which will finish in around 1.5 months. As soon as clinical testing is finished and the product is validated, we will submit our product officially to NIOSH for regulatory approval. We anticipate receipt of regulatory approval within 1.5 months from submission. After approval is obtained, we will also apply for either a provisional patent or copyright, depending on legal advice. Within 1-2 months after regulatory approval, we plan to roll out our product to hospitals via centralized 3D-printing. During the next 1-2 months, we will continue to iterate and optimize the product. Official hospital rollout, with multiple 3D-printing partners and company partnerships, will occur around a month later. This will be around 6-7 months from now. As seen, our timeline is aggressive as we wish to equip healthcare providers with PPE as soon as possible. The prior goals mentioned in our timeline are our key goals and objectives for the project at this time.
Current Testing and Partnerships
Technical Testing is being carried out at Filrexa's primary residence and at Johns Hopkins University and includes analysis of airflow data, battery life, and filtration efficacy. For clinical testing, we already have established connections for clinical testing with both Johns Hopkins Medical Institute and Stanford University. In regards to business-focused assistance, we have also partnered with FastForwardU for advising regarding intellectual property protection, strategic marketing, and clinical networking.
Planned Partnerships
We plan to designate one 3D-printing company (current candidates include Xometry, Protolabs, Cowtown, and Health3D) as our manufacturer during our initial launch into the market, but will continue to partner with additional 3D-printing companies as our business grows. Due to our unique manufacturing approach, all hospitals, regardless of their size, will be able to order and quickly receive PAPRs, lowering the impact of the current shortage. In order to supply the auxiliary materials such as motors, batteries, and more, we plan to initiate company partnerships with large corporations such as 3M, Dyson, Black and Decker, GE, Cuisinart, Hitachi, Makita, Shop Vac, Hoover, Bissell, Shark, iRobot, and Bosch.
Additional Video
https://youtu.be/iFMtzt52BEQ
Appendix and Citations
Click here!
Website
paPURE Website
Built With
3dprinting
cad
cpap
p100 | paPURE | paPURE is a hospital accessible PAPR Technology utilizing 3D printing and readily available hardware to give healthcare's frontline the gold standard of personal protective equipment right now. | ['Sanjana Pesari', 'Hannah Yamagata', 'Sneha Batheja', 'Joshua Devier'] | ['2nd Place Overall Winners', '1st Place', 'The Wolfram Award', 'The Best Business Idea', '3rd Place Hack', 'Best COVID-19 Hack'] | ['3dprinting', 'cad', 'cpap', 'p100'] | 60 |
10,114 | https://devpost.com/software/agrinexo | Inspiration
Farmers’ markets are the preferred choice of many consumers since they provide high quality local and seasonal foods at affordable prices and allow direct contact between the farmers and the consumers.
The measures required to prevent and contain the spread of COVID-19, substantially limit the number of customers allowed simultaneously inside the market areas, decreasing sales and driving consumers to shop elsewhere.
What it does
As a consumer, you can join your local market by filling the registration form and order fresh foods available on your local farmers' market, including traditional varieties of fruit and vegetables.
As a farmer you can inform your customers of the products you are bringing to the market and immediately start collecting orders online.
As a market organizer, you can setup a unique farmers’ market digital marketplace with a relatively modest effort, informing consumers and supporting the marketing efforts of the farmers.
Expected impact
The AGRINEXO MKE solution is being developed to improve sales efficiency and reduce social contact by accepting online orders, ready for pickup at the selling point.
The underlying concept is to digitally enhance farmers’ markets, while promoting their unique products and preserving their authenticity .
AGRINEXO MKE is a non-disruptive farmers' market digitalization solution intended to improve the efficiency of short food supply chains and to broaden consumer choice.
What's next for AGRINEXO MKE
We are refining requirements with major stakeholders as market organizers, farmers and consumers, and improving the solution prototype.
Farmers’ markets coupled with well-defined farming standards contribute to the resiliency and social well-being of local communities, balancing Globalized Food System with Local Food Systems and promoting sustainable agriculture.
Built With
javascript
php
Try it out
www.agrinexo.pt | AGRINEXO MKE | The marketplace engine for unique farmers' markets. Improve sales efficiency and reduce social contact by accepting online orders, ready for pickup at the selling point. | ['Vítor Miguel Abreu', 'Graça de Matos Abreu'] | [] | ['javascript', 'php'] | 61 |
10,114 | https://devpost.com/software/plantly | Profile page
Plant information
Health identification results
Journals
Journal entry
Map
Inspiration
Since the beginning, we knew we wanted to create a product integrated with machine learning. As machine learning had infinite applications and could be deployed on mobile devices, the possibilities were endless. After listening to the news about the alarming statistics of world hunger that impacted billions worldwide, we knew we wanted to help. After researching the many causes of this issue, we decided to focus on improving agricultural production. Upon researching, we learned that a large percentage of crops went to waste when diseases and nutrient deficiencies went unnoticed. This prompted the creation of Plantly, which aims to increase agricultural productivity by providing management tools for plant diseases and deficiencies.
What it does
Plantly has four main features: information, identification, journal management system, and map.
Keeping track of plants and properly tending them can be tough. Utilizing the Firestore database, users can curate their own list of plants for easy tracking and management. To learn more about plant care, Plantly provides basic information on the plant, its ideal soil environments, and its ideal pH levels. This allows users to gain a better understanding of how to properly take care of their plants.
With a vast number of plant diseases and deficiencies, identifying a plant’s health condition is extremely difficult. Plantly’s identification tool identifies 38 common diseases from 14 of the world’s largest crops, as well as 10 common nutrient deficiencies. The user chooses to either open the camera through the app or choose a photo from their library to upload. Once the picture is uploaded, they are taken to a page containing the plant’s identification, as well as methods to treat the disease or deficiency. With over 93% accuracy, the model is able to accurately detect a plant’s health.
Using a journal to track plants can be extremely beneficial when encountering health problems in crops. Users are able to create and access journals that store data about their plants. These updates include a photo of the plant, its identification, and additional notes entered by the user. With Plantly’s journals, users can easily track the progression of their plants.
When left untreated, plant diseases spread and can soon become a universal issue. With the map feature, users can add their plants onto a worldwide map shared by Plantly’s entire user base. Each map annotation includes the plant, its health condition, and the date it was recorded. This will enable farmers to observe nearby plants in their communities and take preventative actions when necessary.
How I built it
To gather information on different plants, we used HTML web scraping to get information from databases. The machine learning model was trained with over 70,000 thousand images with a convolutional neural network image classifier in Python trained with TensorFlow’s Keras deep learning API. User accounts and data storage was supported by Google's Firebase database, for a real-time sync.
Challenges I ran into
At first, our model reached a meager 10% accuracy. After adding more layers and data to the neural network, we achieved a 97% accuracy. Furthermore, we were unsure how to grab information from websites to display on our app. We then came across SwiftSoup, which allowed us to easily web scrape HTML code on websites. Additionally, it was tricky to animate elements in Swift. After reading several Medium.com articles, we were finally successful.
Accomplishments that I'm proud of
Coming into the challenge, we had little to no experience with machine learning. Afterward, we were able to write a python image classifier using Tensorflow's Keras API, which felt empowering. This was also our first time using Firebase to connect our application to a database.
What I learned
We learned how to use Tensorflow's Keras API to create an image classifier for detecting plant diseases and nutrient deficiencies. Furthermore, we learned how to read and write data in Firestore, as well as how to animate UI elements in our app.
What's next for Plantly
We plan to incorporate more types of plant diseases and nutrient deficiencies in our model for a more holistic plant health analysis. We will also gather more data to improve model accuracy. We are already in contact with a couple of nonprofits: The Land Institute and APS. We hope to use these partnerships to connect the app to farmers in the United States. Plantly will be released onto the iOS App Store in the near future. However, we plan to conduct beta testing through TestFlight beforehand. We are also currently developing an android version of the app.
Built With
keras
tensorflow
Try it out
github.com | Plantly | Cultivating productivity | ['Chloe Yan'] | [] | ['keras', 'tensorflow'] | 62 |
10,114 | https://devpost.com/software/hack-the-crisis-iceland | Hack the Crisis Iceland
Inspiration
Hack the Crisis, EUvsVirus and the Global Hack
What it does
Hack the Crisis Iceland strives to bring people together to solve big challenges that we face. It offers a chance to do Yoga, get inspired, motivated and learn about Supernetworks, Pitching, Leadership, PR, Investors and much more.
How We built it
Networking, Swag, Wordpress, Google, DevPost, Slack, Emails, OneTab and more
Challenges I ran into
Challenges in in Social Affairs, Education, Health Care, in Business/employment or anything else/Everything Goes.
Accomplishments that I'm proud of
Increased awareness of the Challenges and hopefully new solutions, elevated hackathon culture in Iceland.
What I learned
That hackathons can provide an opportunity for extro and introverts to foster relationships and social and interpersonal skills while engaging in something they have a shared, genuine interest in.
What's next for Hack the Crisis Iceland
Get all participants on our Slack channel and explain how to submit their solutions to DevPost.
Built With
devpost
google
wordpress
Try it out
hakkathon.island.is | Hack the Crisis Iceland | Hack the Crisis Iceland takes place 22nd-25th of May. The hackathon is online and anyone can take part to find solutions to problems that have arisen due to Covid-19 | ['Stefán Örn Snæbjörnsson', 'Kristjana Björk Barðdal'] | [] | ['devpost', 'google', 'wordpress'] | 63 |
10,114 | https://devpost.com/software/virtual-health-checkup-modelling-of-coronavirus-technoband | Technoband
Software Modelling of Future conditions of CoronaVirus
Inspiration
Daily surge in cases, health conditions of citizens pushed me to work hard
What it does
It predicts the curve of future conditions of any country w.r.t. data set available
How I built it
I built it through software, that have been mentioned.
Challenges I ran into
Lots of challenges, but overcomes and got the results as expected
Accomplishments that I'm proud of
That I did something, which satisfies and help at least one citizen, then the chain will follow up.
What I learned
I learned new softwares, skills
What's next for Virtual Health Checkup|Modelling of CoronaVirus|Technoband
If got success, wanna make it open source.
Built With
arduino
c++
embedded
matlab
python
webex | Virtual Health Checkup|Modelling of CoronaVirus|Technoband | Future prediction with Virtual checkup online and Smart electronic band | ['Shreyansh Pagaria', 'Maor Mashiaxch'] | [] | ['arduino', 'c++', 'embedded', 'matlab', 'python', 'webex'] | 64 |
10,114 | https://devpost.com/software/smarttracker-covid19 | Inspiration :
Now a days whole world facing the novel Corona Virus, to track the spread of novel Corona Virus country-wise, details of confirmed cases, deaths and Recovered, awareness regarding COVID-19. This Android app was created to spread awareness about the covid -19 virus.
What it does :
The Android app named as ‘SmartTracker-Covid-19’ created to spread awareness about the COVID -19 virus. App includes following functionalities:
CoronaEx Section -
This section having following sub components:
• News tab: Having latest new updates. Fake news seems to be spreading just as fast as the virus but as we have integrated from official sources so everyone will be aware from fake news.
• World Statistic tab: Real-time Dashboard that tracks the recent cases of covid-19 across the world.
• India Statistic tab: Coronavirus cases across different states in India with relevant death and recovered cases.
• Prevention tab: Some Prevention to be carried out in order to defeat corona.
CoronaQuiz section - quiz that will help people know about the Corona virus and its effects on human body. It chooses random questions and show the correct answer for the questions and at the end user will get to know their highest score.
Helpline Section - As this application particularly made for Indian citizen to use, all state helpline number of India included.
Chatbot Section - A self-assisted bot made for the people navigate corona virus situation.
Common Questions: Start screening,what is COVID-19? , What are the symptoms?
How we built it :
We built with using Android studio. For the quiz section we have used sqlite database and live news data we have integrated from the News API. For the coronavirus statistic we have collected data from worldometer and coronameter.
Challenges we ran into :
At time of integrating the chatbot in application.
Accomplishments that we're proud of :
Though , It was the first attempt to create chatbot.we have tried to up our level at some extent.
What's next for SmartTracker-COVID19 :
For the better conversation we will be looking to work more on chatbot.
Built With
android-studio
chatbot
java
news
quiz
sqlite
Try it out
github.com | SmartTracker-COVID-19 | Android app to track the spread of Corona Virus (COVID-19). | ['Pramod Paratabadi', 'Supriya Shivanand Madiwal .'] | ['Best Use of Microsoft Azure'] | ['android-studio', 'chatbot', 'java', 'news', 'quiz', 'sqlite'] | 65 |
10,120 | https://devpost.com/software/baladyti-smart | Baladyti Smart Logo
Presentation
Click Here
Inspiration
The main idea is to make work more flexible, especially during a pandemic. And focus on citizen integration
What it does
online ticket reservation
It gives the citizen the power to report any abuse .
It gives the citizen the ability to follow up the files deposited in the municipality .
How we built it
Link to Demo :
Click here
Mobile application :
It contains three interfaces :
An interface for booking a ticket
Interface for tracking file status
A complaints interface with the ability to take a photo, With the possibility of notification about the arrival of your turn
Web App :
Dashboard contains
Stats about the application
In addition to controlling the status of deposited files
As well as the answer to complaints
Challenges we ran into
- Time management
- Corona prevented us from going to the municipality and inspecting the problems on the spot
Therefore, we contacted them several times remotely
- The lack of capabilities and equipment needed to work on the fourth axis, which deals with smart waste, and therefore we have prepared a financial and strategic plan to work on the fourth axis in the next locality
Accomplishments that we're proud of
First
, we are very proud to participate in this competition organized by several prestigious organizations
Second
,We are very proud of our contribution to finding solutions that would serve the country's municipalities and advance municipal services.
What we learned
1 :
How to share tasks and to work with the team .
2 :
How to communicate professionally with Administration.
3 :
How to collaborate and focus on the main goals.
4:
We learned The public speech .
5:
How to implement our skills in real world project.
What's next for Baladyti smart
iot + Ai :
Smart waste:
Administration of municipality : can track their bins in real time by simply logging into our platform
From real-time monitoring of container fill level to optimization of collection routes (using graph theory, the system can optimize waste collection with the shortest path), Through a Dashboard the employee has access to all data related to the trash. We can also improve the quality of collection service by using machine learning (Predict the probability of the level of waste in the bins and predict the appropriate time to pass in order to facilitate the work for the employer)
→ Segmentation of bins and target areas
→ time optimization for Collecting waste.
→ Reduce the number of trucks sent and the quantity of gasoline used.
Position detection of the garbage collection truck
→ Notify the citizen when it is time to exit the garbage collection truck
Built With
android
android-studio
firebase
iot
streamlit
vuejs | Baladyti smart | Baladyti | ['Yosr halleb', 'Oussama Bahri', 'Aya Ben Taarit', 'Roukaya belkacem', 'wael wederni'] | ['2nd Place'] | ['android', 'android-studio', 'firebase', 'iot', 'streamlit', 'vuejs'] | 0 |
10,120 | https://devpost.com/software/globe-xs-smart-banking | LOGO
Login Page - In this tab existing user can login and new user can sign- up with an OTP verification and there is a basic voice assistance .
Register Here page - If user is new here he/she can register by entering details asked and a OTP validation , user can add up to 4 bankA/c
Feedback page- this is an feedback page where users can give feedback according to there experience from 1 star to 5 stars .
Globe-xs-Smart-banking
This is a smart banking system which can be set up via devices like atm here user can handle all their bank accounts on a single platform this is a small implementation of this it can make the banking system even smarter.
This can be used in devices like ATM machine kind of devices which can have this Application so there will be no need to go to different banks.
This can be used in mobile devices also.
How to use it.
step 1 - User has to register along with different account numbers of different banks.
1.1 user will verify it by OTP and then add accounts window will be accessible.
1.2 user have to add bank accounts and then have to set 4 digits unique PIN.
1.3 user will get a unique Globexs ID
step 2 - User has to login with asked credentials which includes Globexs Id, Username and PIN.
step 3- User can select the bank to enter the account number and many more things if the credentials will match to the database then one cam fetches transaction details.
There is the option of "Forget password" with the help of OTP password can be reset.
There is a feedback form also.
In future other things can be added to I just have added "transaction details for different banks and account number user is having.
There is a basic voice assistant also in this GUI.
This hack is based on a real-life bank account passbook, GLOBE-XS is basically an application where user can sign in after verifying certain Personal and Bank related credentials. After which he can log in using the GLOBE-XS id allotted and four-digit pin that the user sets. This is a basic level application that provides the facility to view up-to Eight latest transactions made by our user. GLOBE-XS collaborates with four dummy banks named AXIS BANK, ICICI BANK, CENTRAL BANK and HDFC BANK any user of these four dummy banks can use our application to know his transaction details just on a click without much hassle. This app also gives a subtle insight into Speech recognition and SMTP modules of Python. Inclusion of these the module has enabled an Interactive and Authentic way of running application and dealing with real-time bank environment. We have made sure that UI which is made using the Tkinter module of Python is easy interactive and user-friendly as customer and user satisfaction is a must.
Built With
python
Try it out
github.com | Globe-xs-Smart-banking | This is a platform where all the accounts can be handled on a single platform with Basic voice assistance. | ['Aman Shukla'] | [] | ['python'] | 1 |
10,120 | https://devpost.com/software/systeme-de-gestion-des-services-communaux | Nous avons proposé une application mobile (Android et iOS) destinée aux citoyens et une plateforme web destinée aux citoyens et aux agents de commune à la fois. Cette Plateforme est orienté micro services et contient plusieurs modules de digitalisation du quotidien. D’autre part, elle intègre d’autre module de gestion les salles d’attente en respectant les protocoles sanitaires, sécurité d’accès avec le masque, e-santé, e-transport,...
Built With
firebase
iis
iot
mqtt
php | Système de gestion des services communaux | Rester connecté à votre commune ... | ['Slim ABDELHEDI', 'bassem hadjkacem', 'Fatma MILADI'] | [] | ['firebase', 'iis', 'iot', 'mqtt', 'php'] | 2 |
10,120 | https://devpost.com/software/trackmedds-dapp | Application hybrid for transporter
Ergonomic dashbord for Trackmedds
some others functionnalities in TrackMedds
Inspiration
This application is builded for fighting drugs trafficking in Tunisia .
What it does
Details process of distribution drugs in Tunisia.
How we built it
git clone
https://github.com/viralsolani/laravel-adminpanel.git
cd laravel-adminpanel
1) sudo chmod -R 777 install.sh
2) ./install.sh
php artisan install:app
php artisan key:generate
php artisan passport:install
php artisan migrate
php artisan db:seed
npm install
npm run development
php artisan vendor:publish --tag=lfm_public
php artisan storage:link
php artisan serve
Challenges we ran into
reduce the drugs trafficking in Tunisia.
Accomplishments that we're proud of
Version Beta confirmed .
What we learned
blockchain , Laraval
What's next for TrackMedds DAPP
building new features for the system .
Built With
blochchain
blockchain
ethereum
laravel
react
react-native
vuejs
Try it out
gitlab.com | TrackMedds DAPP | • Application Tracking drugs in Tunisia developed by Laravel Framework. | ['Nassir Henchiri', 'Mohamed Tabbene'] | [] | ['blochchain', 'blockchain', 'ethereum', 'laravel', 'react', 'react-native', 'vuejs'] | 3 |
10,120 | https://devpost.com/software/clean-8 | Inspiration
L'idée de départ était de permettre la municipalité d'ezzahra de coordonner la collecte des déchets avec ses citoyens avec l'envoie de notification à la sortie des camions de collecte.
What it does
Nous avons créer une solution qui permet de gérer tout le travail municipale et de digitaliser les différentes tâches au sein de celle ci
How we built it
Le projet clean 8 a été proposée à l'équipe 2BK innovation, il y a de cela 8 mois, et dès que l'opportunité de le réaliser s'est présentée (annonce de l'hackathon smart cities 2020) toute l'équipe s'est mise a développer la solution
Challenges we ran into
Le challenge avec le projet Clean 8, est de démontrer que les jeunes tunisiens ont le talent et le savoir pour faire bouger les choses, et de permettre à la TUNISIE de devenir un point de rayonnement international dans le domaine des nouvelles technologies.
Accomplishments that we're proud of
L'equipe 2BK innovation est fier d'avoir donner de son temps de de son savoir pour améliorer le quotidien des Tunisiens, que ce soit administration, citoyen, éboueur
What we learned
Nous nous sommes rendu compte que la technologie peut faire avancer les choses, et surtout nous devons mettre la main dans la main pour réaliser les objectifs .
What's next for Clean 8
Clean8 est une solution évolutive, nous avons une vision claire sur la nouvelle version.
Built With
.net
android
firebase
sql
xcode
Try it out
drive.google.com | Clean 8 | CLEAN 8 est une solution faites pour les municipalités,elle consiste à digitaliser le système de contrôle pour concrétiser les efforts de l'Etat et de préserver l’environnement. | ['Clean 8'] | [] | ['.net', 'android', 'firebase', 'sql', 'xcode'] | 4 |
10,120 | https://devpost.com/software/smart-baladiya | Impliquer les citoyens dans la vie de la commune est l’objectif essentiel de notre solution mobile, notamment à travers de sa fonctionnalité « Signalement » qui permet à tout utilisateur de signaler à sa commune une situation nécessitant son intervention ( éclairage défectueux, encombrants,…), la fonctionnalité « La boîte à idées virtuelle » permet au citoyen de proposer des idées et voter pour celles des autres, et encore à travers sa fonctionnalité « Sondage » qui permet de transmettre le bilan et les résultats des enquêtes.
Smart Baladiya et un espace de citoyen mobile,
Built With
android
angular.js
mongodb
node.js | Smart Baladiya | L’application mobile pour les municipalités Tunisiennes. Une application mobile qui vous permet de communiquer de façon innovante avec vos citoyens. | ['Firas Chaieb'] | [] | ['android', 'angular.js', 'mongodb', 'node.js'] | 5 |
10,120 | https://devpost.com/software/transforming-sinking-cities-to-fight-floods | Inspiration
The city of Ernakulam(Kochi) has rapidly developed over the past half-century and now faces critical resilience issues due to threats of climate change. The city lies at the sea mouth of seven major rivers which start from the Western Ghats and travel through Kerala’s midlands, lowlands and coastal areas, to drain out into the Arabian Sea.. As an effective drainage system has helped seasonal flooding and cycles of monsoon rain; today, these have been paved over by urban development. Now, the city of water, Ernakulam is no longer the porous landscape: there is minimal green space and excessive construction.
In recent years, Kochi has experienced increased flooding and rising temperatures and struggles with water management. The lack of permeable surface in the urban landscape and an effective drainage system compounds these issues. The Kochi metropolitan region faces great climate resilience issues. Much of Kochi lies at the sea level, and the city along with the suburbs span an area of around 440 km²., threatened by rising seas, storm surge, and heavy seasonal and monsoon rain. The city is frequently inundated with severe flooding during the rainy season. The problem is slow and silent. Kochi is sinking. The establishment of this park leads the direction away from finance and commerce and towards a better quality of life and using big plots of land as productive public green space to contribute back to the city ecology and serve as a much needed green oasis for mallus.
………………………………………………………..
A critical piece of green infrastructure should be designed to mitigate detrimental ecological issues and add much-needed outdoor public space to the god’s own country
The Park can be designed to face future uncertainties of climate change. The park addresses major environmental issues facing Bangkok as a rapidly-developed, hard paved city: water management and the urban heat island effect. The design and environmental effects of the park reach beyond its boundaries into the surrounding neighborhood: a pedestrian- and bicycle-friendly road extends beyond the park in both directions, linking major roadways directly to the park’s walkways, and water from neighboring areas is treated by the park’s filtration system. Located on a large university campus in central Bangkok, close to residential, entertainment and major retail facilities, The Centenary Park is a showcase for the ecological and social impacts of landscape architecture in dense urban areas.
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Transforming sinking cities to fight floods
Built With
cad
civil
stadd
tech
Try it out
worldlandscapearchitect.com | Transforming sinking cities to fight floods | A critical piece of green infrastructure should be designed to mitigate detrimental ecological issues and add much-needed outdoor public space to the god’s own country | ['Anas Muhammed'] | [] | ['cad', 'civil', 'stadd', 'tech'] | 6 |
10,120 | https://devpost.com/software/votebuddy | Democracy
Voters
Home Page
Democratic and Republican Votes API
Functionality
Contact Form
Smart Governance
SMART GOVERNANCE is the most complete enterprise governance management solution for decision-making ecosystems, supporting your chain of command decision-making processes, including the power of authority conditional rules, and multiple boards, committee, council, and assembly meetings, allowing for greater agility in the decision-making process while eliminating the physical paper clutter (or the email nightmare) and its logistics, time and resource consumption.
Inspiration
I wanted to make digital tools during a pandemic for our citizens. Tools should help them to take the correct decisions and they should finish the voting process easier.
What it does
It provides resources for election, a digital tool, and a digital ballot system for voting
Voting Buddy Summary of Functionality
Contact e-mail
Contact by Form
Voting Buddy Features
Office of the Clerk, U.S. House of Representatives
Congress Information
Bibliography for Candidate
1.Resources-
Office of the Clerk,
U.S. House of Representatives Resources
Daily Legislative Schedule
Weekly Legislative Schedule
Roll Call Votes
Live Floor Proceedings
Discharge Petitions
Congressional Record
House Journal
Congressional Calendars
How Our Laws Are Made
Congressional Research Reports
Legislative Process Videos
Congress Profiles
Electoral College FAQs
Legislative FAQs
2.Digital tools- Helping citizens to plan ballot-Digital tool to help to fill up Ballot-
1 See your ballot. Dive into nonpartisan info on every candidate and ballot measure on your personal ballot.
2 Rally friends. Activate and engage others with a BallotParty or become a SuperVoter.
3 Make a plan. Vote safe and informed by making a plan to vote in person or by mail.
4 Vote! Keep your ballot in-hand for voting at the polls or at your kitchen counter.
3. Digital System resources for Voting
Results of the democratic and republican votes that were cast on the bill.
The ProPublica Congress API used to build results of the democratic and republican votes that were cast on the bill.
This API will provide information on bills that passed through the house and the results of the democratic and republican votes that were cast on the bill
How I built it
I have built with HTML5, CSS, and JavaScript, ProPublica Congress API
Challenges I ran into
Time was a challenge for me to submit projects.
Accomplishments that I'm proud of
I am proud of providing digital tool resources to the community to make the voting system easy
What I learned
I found some good resources while making vote buddy
What's next for Vote Buddy
I have right now provided few resources but I wanted to implement more functionality for Vote Buddy
Built With
api
css
html5
javascript
Try it out
jolly-minsky-e53621.netlify.app
github.com | Voting Buddy | Wanted to make digital voting tool for election | ['Jigna Jain'] | [] | ['api', 'css', 'html5', 'javascript'] | 7 |
10,120 | https://devpost.com/software/smart-cities-challenge | Inspiration
The idea of making a project like this inspired me a lot!This was a chance for me to think and do something creative for our society.My parents and mentors helped and motivated me a lot through this.
How I built it
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Smart-Cities-Challenge
Built With
docker
python | Smart-Cities-Challenge | Segmenting Buildings with Disaster Resiliance | ['raghav kothari'] | [] | ['docker', 'python'] | 8 |
10,120 | https://devpost.com/software/compost-waste-network | coming soon
Built With
ajax
bootstraps
google-maps
jquery
mysql
php | comp tuni | coming soon | ['fredrick esedo'] | [] | ['ajax', 'bootstraps', 'google-maps', 'jquery', 'mysql', 'php'] | 9 |
10,120 | https://devpost.com/software/prosumers | Prosumers
We started with an excel tool for simulations of self-consumption projects
Prosumers define the energy and financial impact of the integration of photovoltaic plants for self-consumption
Built With
javascript
mariadb
ninja
php
phpspreadsheet
plotly
pvgis
symfony
Try it out
www.prosumers.tn | Prosumers | Simulation and proposal Tool for Self consumption projects | ['Haytham Zouari'] | [] | ['javascript', 'mariadb', 'ninja', 'php', 'phpspreadsheet', 'plotly', 'pvgis', 'symfony'] | 10 |
10,120 | https://devpost.com/software/smart-hospital | One click check all bed status visually
Admin dashboard
staff profile
hospital admin
admin dashboard with details
Inspiration
I was inspired with the need for many hospitals to move from the paper based form of operation to a digitalised form of operation. And so i got the idea to build a fully managed hospital online
What it does
It enables the hospitals to operate using the system without having to record data on paper
How I built it
It was built with php in the backend and mysql database. Then used bootstrap template for the frontend
Challenges I ran into
I faced a problem with team members not being full commited in the development of the product.
Accomplishments that I'm proud of
I managed to get a working MVP
What I learned
I learnt to not give up when faced with challenges
What's next for smart hospital
Add a mobile app for the system
Built With
bootstrap
codeigniter
mysql
php | smart hospital | Smart Hospital is Modern and Complete Hospital Automation Software that suites to almost every hospital or medical institution from patient OPD visits to Operation to Pathology Test etc. | ['Oburusule Dunstan'] | [] | ['bootstrap', 'codeigniter', 'mysql', 'php'] | 11 |
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