A simple and elegant web app for identifying and predicting the rate of infections with the data provided by the user.

The model developed through infect_predict library is processed through the streamlit app and provides a visual flow to analyse the prediction data.

V1 processing and analysing the data was through Random forest algorithm which is through the app2.py file.

• Streamlit
• Tensorflow
• Scikit-Learn

Thanks for stopping by :)