QuantumFit-AI-Trainer

AI-powered personal trainer with real-time exercise form correction using YOLO/SAM, personalized feedback via Claude, and quantum-enhanced workout optimization.

Table of Contents

• About
• Features
• Tech Stack
• Architecture
• Installation
• Usage
• Contributing
• License
• Contact

About

QuantumFit AI Personal Trainer is an intelligent workout assistant that uses advanced computer vision (YOLO/SAM) for real-time exercise form detection and correction. Powered by Claude for personalized feedback and quantum optimization for workout plan enhancement, it automates fitness progress with n8n workflows.

Features

• Real-time pose estimation and form correction using YOLO or SAM
• Personalized advice and motivation via Claude AI
• Quantum-based workout optimization (prototype)
• Automated notifications and scheduling with n8n
• User-friendly web interface with live feedback

Tech Stack

• Vision: YOLOv8 / Segment Anything Model (SAM)
• AI: Claude API for natural language feedback
• Quantum: IBM Qiskit
• Automation: n8n workflow automation
• Frontend: React.js
• Backend: FastAPI (Python)
• Deployment: Docker, GitHub Actions CI/CD

Architecture

1. Vision Module: Captures video, detects poses, tracks form.
2. AI Logic Module: Analyzes pose data, generates feedback.
3. Quantum Module: Optimizes workout plans.
4. Automation Module: Manages notifications and progress tracking.
5. Frontend: Displays real-time feedback and user data.
6. Backend: Connects all modules and stores user data.