SmartBurn is a machine learning project designed to estimate the number of calories burned during physical activity based on user-specific metrics like heart rate, exercise duration, and personal attributes. It combines model training, prediction, and a user-friendly interface built with Streamlit.
- Predicts calories burned using machine learning models
- Accepts user input: age, weight, height, heart rate, exercise duration
- Streamlit-powered web app for quick interaction
- Organized folder structure with reusable components
- Models stored using
picklefor easy deployment
- Python
- Pandas & NumPy
- Scikit-learn
- Matplotlib / Seaborn (for EDA)
- Streamlit
- Jupyter Notebook