🏋️ RepCoach – AI Exercise Tracker

RepCoach is an AI-powered exercise tracking web application that uses computer vision and machine learning to analyze human posture in real time, count repetitions, and provide feedback for exercises using a webcam.

This project acts as a virtual AI fitness coach, helping users perform exercises with correct form at home.

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🚀 Features

• 📷 Real-time webcam-based pose detection
• 🧠 AI-powered exercise recognition
• 🔢 Automatic repetition counting
• 📊 Live exercise statistics & feedback
• 🌐 Web-based interface
• 🔄 Real-time updates using Socket.IO

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🛠️ Tech Stack

Frontend

• HTML
• CSS
• JavaScript

Backend

• Python
• Flask
• Flask-SocketIO

AI / ML

• OpenCV
• MediaPipe (Pose Estimation)
• NumPy
• Scikit-learn (Random Forest)

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📂 Project Structure

RepCoach/
├── app.py                          # Main Flask application
├── pose_model.py                   # Pose detection & exercise logic
├── pose2.py / pose3.py             # Model training & experiments
├── exercise_feedback_system_fixed.py
│
├── templates/
│   └── index.html                  # Web UI
│
├── static/
│   ├── script.js                   # Frontend logic
│   └── style.css                   # Styling
│
├── exercise_data.csv               # Dataset (optional)
├── .gitignore                      # Ignored files
├── README.md                       # Project documentation

⚠️ Note: Generated files like .pkl, .pyc, and __pycache__ are intentionally ignored.

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▶️ How to Run the Project

1️⃣ Clone the repository

git clone https://github.com/nocapgaurav/RepCoach.git
cd RepCoach

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2️⃣ Create a virtual environment (recommended)

python3 -m venv venv
source venv/bin/activate   # macOS / Linux

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3️⃣ Install dependencies

pip install flask flask-socketio opencv-python mediapipe numpy scikit-learn

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4️⃣ Run the application

python app.py

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5️⃣ Open in browser

http://127.0.0.1:5000

Allow camera access when prompted.

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🧠 Supported Exercises

• 💪 Bicep Curls
• 🦵 Squats
• 🤸 Lateral Raises

The system tracks:

• Repetitions
• Exercise state
• Live feedback
• Accuracy metrics

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🎯 Use Cases

• Personal fitness tracking
• Home workout assistance
• AI & Computer Vision learning
• Final-year / portfolio project

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👨‍💻 Author

Gaurav Pandit
AI & Software Engineering Enthusiast

GitHub: https://github.com/nocapgaurav

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⭐ Acknowledgements

• MediaPipe by Google
• OpenCV community
• Flask & Python open-source ecosystem