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AI Gym Vision 🏋️

An AI-powered fitness coach that uses computer vision to analyze gym exercises in real-time. This project was developed by interns at Integration Xperts.

Features

  • Machine Exercise Analysis: Provides real-time form correction, rep counting, and scoring for various gym machine exercises.
  • Non-Machine Exercise Analysis: Tracks push-ups and squats, providing feedback and counting reps.
  • Machine Efficiency Analysis: Determines if gym equipment is occupied and being used efficiently.
  • Detailed Reporting: Generates downloadable session reports in Excel and visual graphs of performance over time.

Setup and Installation

  1. Clone the repository:

    git clone [https://github.com/mzayan-bit/app_development.git](https://github.com/mzayan-bit/app_development.git)
    cd AI-Gym-Vision
  2. Install dependencies:

    pip install -r requirements.txt

How to Run

Run the Streamlit application from your terminal:

streamlit run ai_gym.py

About

Real-time gym exercise monitoring system using YOLOv8, MediaPipe, and Streamlit — built during internship to detect reps, form, and posture.

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