Recipe Recommender

Project Overview

Recipe Recommender is a full-stack application that allows users to generate personalized meal recipes. The project consists of a backend that interacts with an AI model to generate recipes and a frontend where users can interact with the app.

Prerequisites

• Node.js
• npm or yarn
• Docker (optional)

Backend Setup

1. Clone the repository:

   git clone https://github.com/fadexadex/Recipe-Recommender.git
   cd Recipe-Recommender/backend

2. Install dependencies:

   npm install

3. Set up environment variables: Create a .env file in the backend directory and add the necessary configurations (e.g., API keys, database connection strings).

4. Run the backend:

   npm start

5. Optional: Run using Docker: Ensure Docker is installed and run the following command:

   docker-compose up --build

Frontend Setup

1. Navigate to the frontend directory:

   cd ../frontend

2. Install dependencies:

   npm install

3. Start the frontend server:

   npm start

4. The application will be available at http://localhost:3000.

Project Structure

• Backend: Handles API requests, communicates with AI models, and serves data.
• Frontend: React app where users input preferences and view generated recipes.

Contributing

Feel free to open issues or submit pull requests!

License

This project is licensed under the MIT License.

Authors

• Taiwo Ayomide
• Fadehan Daniel