Coronavirus Recovery Predictor

Inspiration

I made this project because COVID-19 is a pandemic that we are all living in and because this project is relevant to the doctors who would like to assess to probability that a certain patient would recover so that they can focus more on those patients with a lower probability

What it does

It predicts the probability of recovery amongst COVID patients based on certain factors such as age range, race, sex, whether the patient has/should be hospitalized, whether the patient has/should be in the icu, and whether the patient has any medical conditions.

How I built it

I built the interface with tkinter and the machine learning algorithm using a logistic regression classifier.

Challenges I ran into

I had ran into a lot of bugs which took time to solve and I also ran into problems implementing the interface.

Accomplishments that I'm proud of

I am proud that I was able to submit something for my first hackathon

What I learned

I learned how to make a simple classifier model and also how to make a user interface with tkinter.

What's next for Coronavirus Recovery Predictor

Not decided yet. Maybe email CDC?

Built With

• machine-learning
• python
• tkinter