- cal_predict is a calorie burnt prediction ml model that predicts the calories burnt post workout by user based on factors like grnder, height, weight, age, duration of excercise, body temperature, and heart rate.
- The model is trained using XGBoost Regression algorithm which helps to achieve the accuracy of around 98%.
- Model Training
- Google Colab (Python using XGBoost Regressor)
- Environment Management System
- Anaconda
- Framework to Deploy ML model
- Streamlit
- Mihir Shah