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Smart Recipe Generator Project Summary

Project Overview

The Smart Recipe Generator app is designed to help users create AI-generated recipes based on selected ingredients and dietary preferences. The app uses a Node.js-based stack with MongoDB for data storage and Next.js for the frontend. It incorporates user authentication, recipe generation, and a user-friendly interface for managing recipes.

Development Milestones

Initial Setup

  • Tech Stack: Set up a MERN stack, including MongoDB, Express, React, and Node.js, with TypeScript.

User Authentication

  • next-auth: Implemented user authentication using next-auth with Google as the OAuth provider.

Recipe Generation

  • OpenAI API: Integrated the OpenAI API to generate recipes based on user-selected ingredients and dietary preferences.
  • Image Generation: Added functionality to generate recipe images using DALL-E from OpenAI.

User Interface

  • Components: Developed key UI components including Hero, Dashboard, Profile, and RecipeDisplayModal.
  • Responsiveness: Ensured the app is responsive and user-friendly across various devices, including mobile.
  • Profile Component: Implemented a profile page to display all recipes created by the user and in the future, other user-specific data.

Likes System

  • Thumbs-Up Button: Added a thumbs-up button for users to like recipes.
  • Toggle Like Function: Implemented the backend logic to handle recipe likes, allowing users to like or unlike recipes.

Data Management

  • MongoDB Connection: Set up a connection to MongoDB and ensured efficient data retrieval and storage.
  • Recipe Storage: Stored and managed recipes in MongoDB, including user likes and comments.

Search Functionality

  • Search Bar: Implemented a search bar to filter recipes.
  • Recipe Filtering: Developed logic to filter and display recipes based on search input.

Error Handling and Session Management

  • Session Management: Ensured proper session management and authentication checks throughout the app.
  • Error Handling: Implemented robust error handling for API requests and user interactions.

Design Adjustments

  • UI Refinements: Made various UI improvements based on feedback, including sticky headers and modal adjustments.
  • Styling: Applied consistent styling using Tailwind CSS for a cohesive look and feel.

Current Status

  • Functionality: The app is fully functional with user authentication, recipe generation, recipe display, and liking functionality.
  • Profile Page: A profile page is in place to show user-specific recipes.
  • Search: A simplified search bar is available for filtering recipes.
  • Deployment: Ready for the first deployment.

Next Steps

  • Testing: Conduct thorough testing to ensure all features work as expected.
  • Deployment: Deploy the app to a live environment.
  • Feedback: Gather user feedback for further improvements.
  • Future Enhancements: Plan for additional features like user comments, recipe sharing, and more.