Recipe Recommendation System 🍽️

Overview

The Recipe Recommendation System is a Flask-based project that recommends recipes based on the ingredients you have at home. It is built using a microservices architecture and integrates with the Spoonacular API to fetch recipes dynamically. The system is containerized with Docker for easy deployment and scalability.

Features

• 🛠️ Microservices Architecture: Ingredients and recipe management are separated into independent services using Flask.
• 🐳 Docker: Each service is containerized, making it easy to deploy and scale.
• 🔍 Recipe Recommendations: Based on the ingredients you have, it fetches recipes dynamically using the Spoonacular API.
• 🔑 Secure API Handling: Environment variables are used to securely manage API keys.

Technologies Used

• Python 3.9
• Flask for building microservices
• Spoonacular API for fetching recipes
• Docker for containerization
• Requests for handling API calls

Project Structure

recipe_microservice/
├── ingredients_service/
│   ├── Dockerfile
│   ├── requirements.txt
│   ├── app.py
├── recipe_service/
│   ├── Dockerfile
│   ├── requirements.txt
│   ├── app.py
└── docker-compose.yml

Setup Instructions

1. Clone this repository:

   git clone https://github.com/your-username/recipe-recommendation-system.git
   cd recipe-recommendation-system

2. Set up the environment variables:

   • Create a .env file in the root of the project and add your Spoonacular API key:

     SPOONACULAR_API_KEY=your_spoonacular_api_key

3. Build the Docker containers:

   docker-compose build

4. Run the containers:

   docker-compose up

5. To test the system, you can use the following example curl command:

   curl -X POST http://localhost:5000/ingredients -H "Content-Type: application/json" -d '{"ingredients": ["tomato", "cheese", "bread"]}'

Future Improvements

• Adding user authentication for personalized recipe recommendations.
• Storing recipe history for better suggestions.
• Expanding the ingredient database for more diverse recipes.

Contributing

Feel free to fork this project, submit issues, and create pull requests. Any contributions are welcome!

License

This project is licensed under the MIT License.