Smart Recipe Generator is an AI-powered web application that generates unique and delicious recipes based on user-selected ingredients and dietary preferences. It uses OpenAI for recipe generation and DALL-E for creating appetizing images of the recipes. The application is built using a MERN stack (MongoDB, React, Node.js) and deployed on Vercel.

• User Authentication: Secure login using Google OAuth with next-auth.
• AI-Powered Recipe Generation: Generate recipes based on selected ingredients and dietary preferences.
• Recipe Image Generation: Generate images of the recipes using DALL-E.
• User Profiles: View and manage your own recipes.
• Likes System: Like your favorite recipes.
• Responsive Design: Mobile-friendly and responsive UI.

• Frontend: React, Next.js, Tailwind CSS
• Backend: Node.js, MongoDB
• Authentication: NextAuth.js with Google OAuth
• AI Integration: OpenAI for recipe generation, DALL-E for image generation
• Image Hosting: AWS S3
• Hosting: Vercel

1. Clone the Repository:

   git clone https://github.com/Dereje1/smart-recipe-generator.git
   cd smart-recipe-generator

2. Install Dependencies:

   npm install

3. Set Up Environment Variables: Create a .env.local file in the root directory and add the following environment variables:

   NEXT_PUBLIC_API_BASE_URL=http://localhost:3000
   NEXTAUTH_URL=http://localhost:3000
   NEXTAUTH_SECRET=your-secret
   GOOGLE_CLIENT_ID=your-google-client-id
   GOOGLE_CLIENT_SECRET=your-google-client-secret
   OPENAI_API_KEY=your-openai-api-key
   AWS_ACCESS_KEY_ID=your-aws-access-key-id
   AWS_SECRET_KEY=your-aws-secret-key
   MONGO_URI=your-mongodb-uri
   S3_BUCKET_NAME=your-s3-bucket-name

   If you wish and have Docker, you can run MongoDB locally using:

   docker-compose up mongodb

   Point your MongoDB URI to:

   mongodb://root:123456@localhost:27018

4. Run the Development Server:

   npm run dev

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

1. Sign In: Log in using your Google account.
2. Select Ingredients: Choose ingredients from the list.
3. Generate Recipes: Click the button to generate recipes.
4. Select Recipes: Choose from the generated recipes to save into your account.
5. View Recipes: See the generated recipes and their images on the homepage.
6. Like Recipes: Like your favorite recipes.
7. Profile: View and manage your recipes in your profile.

The application is deployed on Vercel. Follow these steps to deploy:

1. Login to Vercel: If you don't have an account, sign up at vercel.com.
2. Import Project: Import your GitHub repository to Vercel.
3. Configure Environment Variables: Set the environment variables in Vercel's dashboard.
4. Deploy: Click on Deploy.

Check out the live application here.

Contributions are welcome! Please fork the repository and create a pull request with your changes.

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

• OpenAI
• Vercel
• Next.js
• MongoDB
• Hat tip to anyone whose code was used
• GPT-4o for acting as an assistant throughout the project