A nutrition tracking app

• Food Database: Pre-loaded with 542+ Indian foods from the IFCT2017 database
• Meal Logging: Track your meals with detailed nutrition information
• Macro Tracking: Visualize your progress with sleek progress circles
• Food Search: Find foods with elegant autocomplete search
• Nutrition Insights: Understand your eating patterns with detailed analytics
• Calendar View: Track meals by date
• Nutrition Goals: Set and track daily nutrition targets

• Flutter: Cross-platform mobile development
• SQLite: Local database storage
• Provider: State management
• MVVM Architecture: Clean separation of concerns
• Google Fonts: Inter font family
• Mobile Scanner: Barcode scanning capabilities
• fl_chart: Beautiful data visualizations
• Open Food Facts API: Free barcode scanning API

The app comes pre-loaded with authentic Indian food nutrition data from the IFCT2017 database, covering:

• 542+ foods
• Regional dishes
• Street foods
• Traditional preparations
• Cereals and grains
• Pulses and legumes
• Vegetables
• Meat and seafood
• Dairy products
• Snacks and appetizers
• Sweets and desserts
• Beverages
• Prepared foods

1. Clone the repository:

   git clone https://github.com/yourusername/neologger.git

2. Install dependencies:

   flutter pub get

3. Run the app:

   flutter run

This app uses only completely free services with no mandatory API keys:

1. Open Food Facts API: Completely free with no rate limits or API keys required

The app works fully offline with the pre-loaded Indian food database. API access is optional for extended food database access.

This app follows the MVVM (Model-View-ViewModel) architecture pattern with Provider for state management:

lib/
├── models/           # Data models (Food, Meal)
├── database/         # Database helper and operations
├── providers/        # State management (FoodProvider, MealProvider)
├── screens/          # UI screens
├── widgets/          # Reusable UI components
├── constants.dart    # App-wide constants
└── main.dart        # App entry point

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

• Nutrition data from the IFCT2017 database
• Barcode scanning powered by Open Food Facts
• Built with Flutter