🏋️ RepSense AI

Your Real-Time AI Gym Coach

RepSense AI is an AI-powered fitness coaching platform that provides real-time exercise tracking, rep counting, posture analysis, form correction, voice coaching, workout history management, and uploaded video analysis.

Built using Computer Vision, MediaPipe Pose Estimation, Streamlit, and AI-powered coaching, RepSense AI helps users train smarter by analyzing movement quality and providing actionable feedback.

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🚀 Live Demo

Landing Page

https://repsenseai-gym-coach.netlify.app/

RepSense AI Application

https://repsenseai-gym-coach.streamlit.app/

🚀 Features

🎥 Real-Time Exercise Tracking

• Live webcam-based workout monitoring
• Real-time pose estimation using MediaPipe
• Exercise-specific movement tracking
• Instant visual feedback

🔢 Intelligent Rep Counting

• Automatic repetition counting
• Set tracking
• Workout completion detection
• Exercise-specific counting logic

🧠 AI Form Analysis

• Posture evaluation
• Joint angle analysis
• Form correction detection
• Exercise-specific biomechanical checks

🎙️ AI Voice Coach

• Motivational workout coaching
• Real-time form correction prompts
• Set completion notifications
• Workout completion feedback

📁 Upload Video Analysis

• Upload pre-recorded workout videos
• Analyze exercise performance
• Rep counting from uploaded videos
• Form evaluation and feedback

📊 Workout Analysis Reports

• Total repetitions
• Form quality assessment
• Strength highlights
• Areas for improvement
• Overall form score

📈 Progress Tracking

• Total reps completed
• Current set progress
• Sets completed
• Session monitoring

🗄️ Workout History

• Persistent workout storage
• Session tracking
• Exercise logs
• Historical workout records

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🛠️ Tech Stack

Frontend

• Streamlit
• Custom CSS
• Responsive UI Design

Computer Vision

• OpenCV
• MediaPipe Pose Landmarker
• NumPy

AI & Coaching

• Groq API
• Custom Coaching Pipeline
• Text-to-Speech Integration

Backend

• Python
• SQLite Database

Video Processing

• OpenCV
• AV
• Streamlit WebRTC

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📌 Supported Exercises

✅ Currently Supported

• Squats
• Push-Ups
• Lunges
• Shoulder Press
• Biceps Curls (Dumbbell)

🔜 Planned

• Deadlift
• Bench Press
• Lateral Raises
• Pull-Ups
• Plank Analysis

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📂 Project Structure

RepSense_AI/
│
├── assets/
│
├── core/
│
├── detectors/
│
├── ml_models/
│
├── pages/
│
├── services/
│   ├── auth/
│   ├── coaching/
│   ├── config/
│   ├── persistence/
│   ├── state/
│   ├── tracking/
│   ├── ui/
│   └── vision/
│
├── static/
│
├── .streamlit/
│
├── main.py
├── data.db
└── requirements.txt

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⚙️ Installation

Clone Repository

git clone https://github.com/itsakki10/RepSence_AI.git
cd RepSence_AI

Create Virtual Environment

python -m venv .venv

Activate Environment

Windows

.venv\Scripts\activate

Linux / Mac

source .venv/bin/activate

Install Dependencies

pip install -r requirements.txt

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🔑 Environment Variables

Create a .env file in the root directory:

GROQ_API_KEY=your_groq_api_key_here

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▶️ Run the Application

streamlit run main.py

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📷 Application Workflow

Live Camera Mode

Webcam
   ↓
MediaPipe Pose Detection
   ↓
Exercise Detector
   ↓
Rep Counter
   ↓
Form Analysis
   ↓
AI Coach Feedback

Upload Video Mode

Video Upload
   ↓
OpenCV Processing
   ↓
Pose Detection
   ↓
Exercise Analysis
   ↓
Rep Counting
   ↓
AI Workout Report

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🎯 Key Highlights

• Real-time AI-powered fitness coaching
• Live exercise recognition
• Automatic rep counting
• Form correction feedback
• Voice coaching system
• Workout history storage
• Uploaded video analysis
• Modern fitness dashboard
• Modular architecture for future expansion

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📸 Screenshots

Dashboard

Live Workout Tracking

Upload Video Analysis

👨‍💻 Author

Akash Mehra