Step Tracker is an interactive system that allows users to track their daily step count, visualize trends, and receive insights. It helps monitor physical activity and provides recommendations for improvement.
This project is built using the following technologies:
- Python 3.12 - Core programming language
- Pandas - For data manipulation and analysis
- NumPy - For numerical operations
- Matplotlib & Plotly - For step visualization
- Scikit-learn - For trend prediction using machine learning
- Streamlit - For building the interactive web app
- Flask - (if applicable) For backend API and cloud deployment
- Git & GitHub - For version control and collaboration
