AiCalTracker

AiCalTracker is a mobile application designed to track daily nutrition and calorie intake. The app uses computer vision and machine learning to identify food items and provide nutritional information.

Table of Contents

• Features
• Installation
• Usage
• Contributing
• License

Features

• Food recognition using computer vision and machine learning
• Nutrition information and calorie tracking
• Daily meal planning and tracking
• User profile management
• Integration with Supabase for data storage and authentication

Installation

To install the app, follow these steps:

1. Clone the repository: git clone https://github.com/NostraPredator-dev/AiCalTracker.git
2. Install dependencies: npm install
3. Set up environment variables: create a .env
4. Start the app: npm run start
5. Start the server: node server.js

Usage

1. Launch the app on your mobile device or emulator
2. Create a user account or log in to an existing one
3. Take a photo of your meal or select a pre-existing meal plan
4. View nutritional information and track your daily calorie intake
5. Manage your user profile and settings

Contributing

Contributions are welcome! To contribute to the project, follow these steps:

1. Fork the repository: git fork https://github.com/your-username/AiCalTracker.git
2. Create a new branch: git branch feature/new-feature
3. Make changes and commit: git commit -m "New feature: ..."
4. Push changes: git push origin feature/new-feature
5. Submit a pull request

License

AiCalTracker is licensed under the MIT License. See LICENSE for details.