Transform Your Life, One Bite at a Time

BiteTrack is a modern meal planning and nutrition tracking web app built using Flask.
Designed to help users make healthier choices through interactive dashboards, analytics, and custom meal plans.

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Features

• Secure user authentication
• Interactive dashboard for meal planning
• Nutrition analytics and visual insights
• Weight and health progress tracking
• Smart food allergy alerts
• Meal generation based on dietary preferences

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Installation

1. Clone the repository

   git clone https://github.com/rajeevi05/bitetrack.git
   cd bitetrack
   
   

2. Create a virtual environment and activate it:

python -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Set up the database:

flask db init
flask db migrate
flask db upgrade

Running the Application

1. Set the Flask environment variables:

set FLASK_APP=bitetrack.app
set FLASK_ENV=development

2. Run the application:

flask run

The application will be available at http://localhost:5000

Project Structure

bitetrack/
├── app.py              # Main application file
├── static/            # Static files (CSS, JS)
│   ├── css/
│   └── js/
└── templates/         # HTML templates
    ├── base.html
    ├── dashboard.html
    └── analytics.html

Contributing

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

License

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

Deployment Options

1. Deploy to Render (Recommended)

1. Create a Render account
2. Click "New +" and select "Web Service"
3. Connect your GitHub repository
4. Fill in the details:
   • Name: bitetrack
   • Environment: Python
   • Build Command: pip install -r requirements.txt
   • Start Command: gunicorn -c gunicorn_config.py 'bitetrack.app:app'
5. Click "Create Web Service"

2. Deploy to Railway

1. Create a Railway account
2. Click "New Project" and select "Deploy from GitHub repo"
3. Select your repository
4. Railway will automatically detect your Python app
5. Add the following environment variables:
   • FLASK_ENV=production
   • SECRET_KEY=your-secret-key

3. Deploy to PythonAnywhere

1. Create a PythonAnywhere account
2. Go to the Web tab and click "Add a new web app"
3. Choose Manual Configuration and Python 3.9
4. Set up your virtual environment:

   mkvirtualenv --python=/usr/bin/python3.9 myenv
   pip install -r requirements.txt

5. Configure your WSGI file according to PythonAnywhere's instructions

Environment Variables

Make sure to set these environment variables in your deployment platform:

• FLASK_ENV: Set to 'production'
• SECRET_KEY: Your secret key for Flask
• DATABASE_URL: Your database URL (if using external database)

Database Setup

The application uses SQLite by default, but for production, it's recommended to use PostgreSQL:

1. Create a PostgreSQL database in your deployment platform
2. Set the DATABASE_URL environment variable
3. The application will automatically use the PostgreSQL database in production

Running Locally

# Install dependencies
pip install -r requirements.txt

# Run the application
python -m flask run