Authors

Inspiration

COVID 19 was discovered in December, last year in Wuhan. It has already been months but no vaccine or drug to fight against COVID-19 has been discovered. In these tough times, if we can even detect the disease beforehand, it could help a person contact the medical officials in time and diagnose and get treated in time.

What it does

It gives you an estimate of the probability of how much is a person infected with COVID-19. The parameters for the prediction is the list of symptoms.

How we built it

Technology Stack

Front-end       1. HTML        2. MaterializeCSS        3. JavaScript

Back-end       1. Django web framework

**UI-Kit**
    * Figma

Challenges we ran into

Gathering the dataset according to symptoms was the toughest part. As the raw dataset which we obtained had to be cleaned, we had to deal with missing data, too.

Accomplishments that we're proud of

Building this web app in a short amount of time really made learnt a lot of things.

What we learned

  • How to use various algorithms of Scikit-learn library.
  • Getting hands-on with the Django framework.

What's next for COVIDprob

To gather more data to increase the accuracy of our model

Built for the Innovative Website 2020 Competition.

This website was built by Sagar Banik and Sumit Banik

Try It out

Hackathons

Technologies

django, figma, materialize-css, scikit-learn

Devpost Software Identifier

266969