AI Fitness Coach

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📖 Project Overview

AI Fitness Coach is a Flutter-based, Zing App–inspired fitness companion, enhanced with cutting-edge AI and computer-vision features:

• Real-time Pose Detection Leveraging ML Kit’s MediaPipe model to track body landmarks for squats & push-ups.

• Rep Counting & Form Feedback Angle-based classification automatically identifies reps and displays form cues (“Go deeper”, “Nice push-up!”, etc.).

• AI Workout & Nutrition Plans Gemini/OpenAI integration for personalized exercise routines and diet recommendations in any language.

• Subscription & Payments Stripe-powered in-app purchases for premium content and AI-guided challenges.

• Comprehensive Analytics Body-fat %, muscle recovery, workout streaks, and progress charts stored in Firestore.

• Coach Chatbot 24/7 multilingual AI assistant for tips, motivation, and Q&A.

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INFRA-Structure

• State Management: Riverpod

• Navigation: GoRouter

• Backend:

  • Firebase Auth (Email, Google, Facebook)
  • Firestore (workouts, metrics)
  • Storage (body scan images)
  • Cloud Functions (Python CV hooks)

• AI & CV:

  • On-device ML Kit pose detection
  • Python FastAPI server (MediaPipe + TensorFlow Lite) for advanced analytics

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🚀 Getting Started

Prerequisites

• Flutter 3.x & Dart
• Android Studio / Xcode or a Real Device
• Firebase project credentials
• Stripe API keys
• Python 3.9+ (for optional CV server)

Installation

1. Clone the Repo

   git clone https://github.com/Hami0095/AI-Fitness-Coach.git
   cd AI-Fitness-Coach

2. Fetch Dependencies

   flutter pub get

3. Configure Firebase

   • Place google-services.json (Android) and GoogleService-Info.plist (iOS) in their respective folders.
   • Enable Auth providers, Firestore, and Storage in your Firebase console.

4. Run the App

   flutter run

5. (Optional) Start CV Server

   cd cv_server
   pip install -r requirements.txt
   uvicorn app:app --reload

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📂 Screenshots Gallery

All app screens captured below:

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📜 License

MIT © \AbdurRehman