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.
The recent version allows for user data input and direct predictions with the availability of Downloading it.
- Streamlit
- Tensorflow
- Scikit-Learn
Thanks for stopping by :)