Check out this awesome Streamlit app I built
https://share.streamlit.io/zritter2050/cormeum/main/hrfApp.py
This app predict the risk of a heart attack. It use a ML random forest model with an accuracy of 83.6%. An open data base including 13 parameters from healty and subjects that have experienced a heart attack was used for training and testing the model. The idea was to develope the complete pipeline from modeling up to deploying the model. Enjoy, and please let me know your opinion or about any issues that you want to share about it. Many thanks to the streamlit to make the deployment possible.