🏋️‍♂️ Smart Workout Tracker

Because counting reps in your head is so 2010.

Smart Workout Tracker is your personal digital gym buddy 💪. It combines a sleek React frontend, a powerful Node.js/Express backend, and some AI magic with OpenCV + MediaPipe for pose tracking. Add in real-time analytics with Streamlit and secure user authentication (JWT), and you’ve got the perfect recipe for interactive workout management.

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✨ Features

• 🎨 Beautiful React UI – Manage your workouts with ease.
• ⚡ Express API – Fast & reliable backend for all your workout data.
• 🔒 Authentication – Secure login/signup using JWT (no sneaky rep stealers).
• 📊 Real-Time Analytics – Streamlit dashboards that update as you sweat.
• 🧘 Pose Tracking – OpenCV + MediaPipe keep an eye on your form (like a personal trainer, minus the yelling).
• 🗄️ MongoDB Database – Stores your users data safely.

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🗂️ Project Structure

smart-workout-tracker/
├── backend/        # Node.js + Express + JWT Auth
├── frontend/       # React app (UI)
├── fitness-tracker-api/      # Real-time analytics dashboard
├── .babelrc
└── README.md

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🛠️ Tech Stack

• Frontend: React
• Backend: Node.js / Express
• Database: MongoDB
• Auth: JWT (JSON Web Tokens)
• Analytics: Streamlit
• Pose Tracking: OpenCV + MediaPipe

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🚀 Getting Started

1. Clone the repo

git clone https://github.com/Aditya-jaiswal07972/smart-workout-tracker.git
cd smart-workout-tracker

2. Setup Backend

cd backend
npm install

Create a .env file:

MONGODB_URI=your-mongodb-uri
JWT_SECRET=supersecretkey
PORT=5000

Run the server:

npm run dev

3. Setup Frontend

cd ../frontend
npm install
npm start

4. Launch Streamlit Dashboard

Make sure Python + Streamlit are installed:

streamlit run app.py

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🎮 How It Works

1. Sign Up / Log In – Securely authenticate with JWT.
2. Track Workouts – exercises, reps, and sets count.
3. Pose Tracking – Turn on your webcam and let OpenCV + MediaPipe guide your form.
4. View Analytics – Streamlit for real-time charts of your progress.

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👨‍💻 Author

Built with ❤️ by Aditya Jaiswal