The problem Heart Disease Predictor solves

It helps in predicting the level of Heart Disease based on the description provided.

Challenges I ran into

The preprocessing and model building part was easy but , I faced difficulties in building the pipeline and deploying it to Streamlit.I tried various other models like XGBoost, Decision Tree Classifier, but Random Forest Classifier gave me the best result.Finding the relationship among the independent variables was also quite challenging for me.