COVID 19 was discovered in December, last year in Wuhan. It has already been months but no vaccine or drug to fight against COVID-19 has been discovered. In these tough times, if we can even detect the disease beforehand, it could help a person contact the medical officials in time and diagnose and get treated in time.
What it does
It gives you an estimate of the probability of how much is a person infected with COVID-19. The parameters for the prediction is the list of symptoms.
How we built it
Back-end 1. Django web framework
**UI-Kit** * Figma
Challenges we ran into
Gathering the dataset according to symptoms was the toughest part. As the raw dataset which we obtained had to be cleaned, we had to deal with missing data, too.
Accomplishments that we're proud of
Building this web app in a short amount of time really made learnt a lot of things.
What we learned
- How to use various algorithms of Scikit-learn library.
- Getting hands-on with the Django framework.
What's next for COVIDprob
To gather more data to increase the accuracy of our model
Built for the Innovative Website 2020 Competition.
This website was built by Sagar Banik and Sumit Banik
Try It out
- Lumiata COVID-19 Global AI Hackathon
- Code for Algeria: Covid19 Hackathon
- COVID HealthHack Phase 2
- The Innovative Website 2020
django, figma, materialize-css, scikit-learn