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Project Overview
The Smart Gym Tracker is a virtual assistant designed to enhance home workout routines by providing real-time posture feedback during exercises such as pushups, squats, curls, and crunches. Built with advanced computer vision techniques, it uses MediaPipe and CV2 libraries to track and analyze user posture, ensuring that exercises are performed with correct form and reducing the risk of injury.
Key Features:
- Posture Verification: Analyzes body landmarks in real-time to validate that users are performing exercises with correct posture, providing immediate feedback.
- Exercise Tracking: Monitors repetitions and exercise completion, giving users insights into their progress.
- User-Friendly Web Interface: Developed using Streamlit, the web app allows users to select and perform exercises, providing a seamless and intuitive experience.
- Customizable Workouts: Tailor the workout routine by selecting different exercises and adjusting difficulty levels based on personal fitness goals.
- Real-Time Feedback: Delivers instant feedback on exercise form, helping users improve their performance over time.
Technologies Used:
- MediaPipe & CV2: For real-time body landmark detection and posture analysis.
- Streamlit: For building an interactive web app to guide users through exercises.
- Python: For backend logic, data handling, and computer vision processing.
Benefits:
- Fitness Enthusiasts: Helps users perform exercises with the correct form, preventing injuries and improving results.
- Home Workout Optimization: A virtual personal trainer that provides feedback and tracks progress, perfect for those who prefer working out at home.
- Interactive Experience: With Streamlit, users can easily navigate through the web app, select exercises, and get feedback, creating an engaging workout environment.