NutriScan - Indian Dish Nutrition Analyzer 🍛📸

NutriSync is an advanced, AI-powered web application designed to revolutionize your health and nutrition journey. By leveraging cutting-edge technology, NutriSync provides personalized insights, tracking, and recommendations tailored to your unique body metrics and health goals.

🚀 Features

• 📷 Upload an image of a dish
• 🔍 AI-based dish recognition using Google Gemini API
• 📊 Detailed nutritional information (calories, macronutrients, vitamins, and minerals)
• 📝 Meal Planner
• 🏋️ Calcualtes BMI and BMR and suggests amount of calories to be consumed on daily basis.
• 🎨 Beautiful and responsive UI
• ⚡ Fast and efficient processing

🚀 Key Features/Components

1. 📊 Body Metrics Analysis

• BMI Calculator: Instantly calculate and interpret your Body Mass Index
• BMR Calculation: Determine your Basal Metabolic Rate with precision
• Personalized Calorie Recommendations: Get daily caloric needs based on your activity level and goals

2. 🍽️ Advanced Nutrition Tools

• AI NutriScan: Upload food images for instant nutritional analysis Input: Image of Butter Chicken Output: { "dish": "Butter Chicken", "calories_per_100g": "247 kcal", "protein_per_100g": "15.3 g", "carbs_per_100g": "9.8 g", "fat_per_100g": "17.2 g" }

• Intelligent Meal Planner: Generate personalized meal recommendations. Input: - Preferred ingredients: "Paneer, Rice, Vegetables" - Cuisine: "North Indian" - Meal Type: "Lunch" - Target Calories: "600" Output: - Meal Plan: 1. "Paneer Tikka Masala (300 cal)" 2. "Jeera Rice (200 cal)" 3. "Mixed Vegetable Curry (100 cal)" 4. "Raita (50 cal)"

3. 🏋️ Progress Tracking

• Weight Tracking: Log and visualize your weight changes Input: Daily weight entries - "2024-04-15: 75.5 kg" - "2024-04-16: 75.2 kg" - "2024-04-17: 75.0 kg"

Output: Interactive graph showing weight trend 📉 Three-day trend: -0.5kg (Progress towards goal)

• Goal-Oriented Insights: Tailored recommendations for weight loss, gain, or maintenance

Nutrition Progress Dashboard: Track macronutrients and calorie consumption Input: Daily goal settings - Calories: 2000 kcal - Protein: 120g - Carbs: 200g - Fat: 65g

Output: Progress bars and percentages Calories: 1500/2000 (75%) ▓▓▓▓▓▓▓▓░░ Protein: 90/120g (75%) ▓▓▓▓▓▓▓▓░░ Carbs: 150/200g (75%) ▓▓▓▓▓▓▓▓░░ Fat: 45/65g (69%) ▓▓▓▓▓▓▓░░░

4. 📝 Daily Diet Logger

• Manual Entry: Input: - Food: "Masala Dosa" - Portion: "1 serving" - Meal Type: "Breakfast" - Nutritional Values: * Calories: 250 * Protein: 8g * Carbs: 48g * Fat: 6g Output: Added to breakfast log with timestamp 🕐 8:30 AM - Masala Dosa 📊 Progress updated on dashboard

• AI-Powered Analysis: Input: "2 pieces of Tandoori Roti with Dal Makhani" Output: AI Analysis Dish: Tandoori Roti with Dal Makhani Portion: 2 rotis + 1 cup dal Total Calories: 450 kcal Protein: 15g Carbs: 62g Fat: 18g ✅ Added to lunch log automatically

5. 🔒 Secure User Experience

• User Authentication: Secure login and registration
• Private Health Dashboard: Your personal health metrics, privately managed
• Data Protection: Robust security measures to protect your information

🛠️ Tech Stack

• Frontend: React, Tailwind CSS
• Backend: Node.js, Express
• Database: Supabase
• AI API: Google Gemini AI

🔧 Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/your-username/health-buddy.git
cd health-buddy

2️⃣ Setup Backend

cd backend
npm install

Configure Environment Variables

Create a .env file in the backend/ folder and add:

PORT=5000
GEMINI_API_KEY=your-google-gemini-api-key

Start Backend Server

npm start

3️⃣ Setup Frontend

cd ..
npm install

Start Frontend

npm run dev

4️⃣ Start Both Servers Simultaneously

Instead of running frontend and backend in separate terminals, use: **Run backend code in terminal and frontend in the other (total 2 terminals simultaneosly working)

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🌈 Use Cases

• Weight Management
• Nutritional Planning
• Health Tracking
• Personalized Diet Optimization
• Fitness Goal Setting

🎯 Target Audience

• Health-conscious individuals
• Fitness enthusiasts
• People looking to improve their diet
• Individuals tracking weight and nutrition
• Anyone interested in personalized health insights

🛠️ Future Improvements

• ✅ Authentication for user profiles
• ✅ History of analyzed dishes
• ✅ Multi-language support
• ✅ More accurate dish recognition

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🤝 Contributing

Want to contribute? Feel free to fork and submit a pull request! 🚀

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📜 License

This project is open-source under the MIT License.

NutriSync 🍎💪 - Your Comprehensive Nutrition & Health Companion

🌟 Overview

NutriSync is an advanced, AI-powered web application designed to revolutionize your health and nutrition journey. By leveraging cutting-edge technology, NutriSync provides personalized insights, tracking, and recommendations tailored to your unique body metrics and health goals.

🛠️ Tech Stack

• Frontend: React, Tailwind CSS, Shadcn UI
• Backend: Node.js, Express
• Database: Supabase
• AI Integration: Google Gemini API

🔧 Key Technologies

• TypeScript for type-safe development
• Tanstack React Query for efficient data fetching
• Framer Motion for smooth animations
• Recharts for interactive data visualization

🌈 Use Cases

• Weight Management
• Nutritional Planning
• Health Tracking
• Personalized Diet Optimization
• Fitness Goal Setting

🎯 Target Audience

• Health-conscious individuals
• Fitness enthusiasts
• People looking to improve their diet
• Individuals tracking weight and nutrition
• Anyone interested in personalized health insights

🔜 Upcoming Features

• Multi-language support
• Integration with fitness tracking devices
• More advanced AI nutritional recommendations
• Social sharing and community features
• Expanded food recognition database

🤝 Contributing

Interested in contributing? We welcome pull requests! Please check our contribution guidelines.

📜 License

MIT License - Open-source and free to use

💡 Disclaimer

NutriSync provides general health and nutrition guidance. Always consult healthcare professionals for personalized medical advice.