Get fit with real-time exercise tracking and form feedback!
FitPoseTracker is an innovative fitness application that leverages the power of artificial intelligence (AI) to empower your workouts. By harnessing Mediapipe, a cutting-edge open-source framework, FitPoseTracker accurately detects your body posture in real-time, enabling it to count repetitions of exercises like push-ups, squats, and more.
This project goes beyond simple exercise tracking. FitPoseTracker incorporates machine learning techniques to provide valuable form feedback, helping you:
Optimize your workouts: Ensure you're performing exercises correctly to maximize the effectiveness of each movement. Reduce injury risk: Avoid improper form that could lead to potential injuries. Track your progress: Monitor your workout performance over time and celebrate your achievements.
Real-time Pose Detection: FitPoseTracker uses Mediapipe to precisely detect your body keypoints, facilitating accurate exercise tracking. Exercise Recognition: Counts repetitions of various exercises, including push-ups, squats, and others (expand on the list if supported). Form Feedback: Provides valuable insights into your exercise form, helping you refine your technique for better results. Progress Tracking: Track your workout history and visualize your progress over time. Simple and Intuitive: Designed for ease of use, allowing you to focus on your workout without complex configurations. Getting Started
Python 3.x (https://www.python.org/downloads/)
Mediapipe (installation instructions provided below)
Bash
git clone https://github.com/your-username/FitPoseTracker.git
cd FitPoseTracker
pip install -r requirements.txt
Use code with caution.
Mediapipe Installation:
Follow the official Mediapipe installation instructions: https://pypi.org/project/mediapipe/
Bash python main.py Use code with caution.
We welcome contributions to FitPoseTracker! If you'd like to be involved, please refer to the CONTRIBUTING.md file for details.
License
This project is licensed under the MIT License.
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