Personal Fitness Tracker
Summary
Python Fitness Tracker with ML-based calorie prediction and personalized recommendations. Tools & technologies used: Python, Streamlit, Scikit-learn, NumPy, SQLite, Matplotlib. Developed a Personal Fitness Tracker that predicts calorie burn using machine learning and provides personalized workout and diet recommendations. Implemented an interactive UI using Streamlit for seamless user experience and fitness progress visualization.