AI Workout Assisstant

Overview

The AI Workout Assisstant is a web-based application that utilizes computer vision and machine learning to track and analyze exercises in real-time. Built with Flask for the backend and OpenCV, MediaPipe for exercise recognition, this project offers users a dynamic way to monitor their exercise routines and get feedback on their performance.

Features

• Real-Time Exercise Tracking: Monitors exercises using computer vision and provides feedback based on posture and movements. Provides support for 3 execises for now.
• Dynamic Feedback: Provides real-time feedback on exercise performance, including the number of repetitions and posture corrections.
• Video Feed Integration: Streams the live video feed from the user's webcam to the web interface.

Technologies

• Backend: Flask
• Computer Vision: OpenCV, MediaPipe
• Frontend: HTML, CSS, JavaScript
• Dependencies: Listed in requirements.txt

Installation

1. Clone the Repository:

   git clone https://github.com/eshal26/AI-Workout-Assisstant.git
   cd AI-Workout-Assisstant

2. Install dependencies:

   pip install -r requirements.txt

3. Run the Application:

   python app.py

Contributing

Feel free to submit issues or pull requests if you have suggestions or improvements.