💪 Fitness Tracker Demo - Web Edition

A real-time fitness tracking web application that uses TensorFlow.js and pose detection to monitor exercise form, count repetitions, and provide feedback — all through your webcam!

✨ Features

• 🔐 User Authentication

  • Secure login and registration
  • Profile management

• 📊 Workout Management

  • Custom workout planning
  • Progress tracking with charts
  • Exercise library with instructions

• 🎯 Goal Setting

  • Set and track fitness goals
  • Achievement monitoring

• 📱 Food Scanner

  • Scan food items
  • Get nutritional information
  • Track daily intake

🏋️ Supported Exercises

Exercise	Preview
Squats
Bicep Curls
Push-ups
Pull-ups

🍎 Food Scanner Interface

Screen	Description
	Initial screen with camera and upload options
	Detailed nutrition information with confidence score
	Caloreis-AI meal planning suggestions

🛠️ Technology Stack

Technology	Purpose
HTML5	Structure
CSS3	Styling
JavaScript	Functionality
Bootstrap	UI Framework
Chart.js	Data Visualization

🚀 Quick Start

# Clone the repository
git clone https://github.com/yourusername/Fitness-Tracker-web-demo

# Navigate to project
cd Fitness-Tracker-web-demo

# Open in browser
start index.html  # Windows
open index.html   # macOS

📂 Project Structure

📦 Fitness-Tracker-web-demo
 ┣ 📂 css
 ┣ 📂 js
 ┣ 📂 images
 ┣ 📜 index.html
 ┗ 📜 README.md

Contributing

1. Fork the repository
2. Create your feature branch: git checkout -b feature/NewFeature
3. Commit your changes: git commit -m 'Add NewFeature'
4. Push to the branch: git push origin feature/NewFeature
5. Submit a pull request

Image Requirements

Please add the following images to the /images directory:

• dashboard.png - Main dashboard screenshot
• workout-planner.png - Workout planning interface
• progress-charts.png - Progress tracking charts
• food-scanner.png - Food Scanner interface and nutrition details
• (Add any other relevant screenshots)

📝 License

Distributed under the MIT License. See LICENSE for more information.