FoodChoice - Personalized Recipe Recommendation Platform

FoodChoice is a revolutionary recipe recommendation platform that empowers users to discover new recipes, tailor recommendations to their tastes, and engage with a vibrant food-loving community.

Deployed Link: https://food-choice.vercel.app/

Table of Contents

• Tech Stacks
• Project Goals
• Features
• API Endpoints
• Achievements
• Highlights
• Getting Started
• Contributing

Tech Stacks

• Front-End: React.js
• Back-End: Spring Boot (Java)
• Database: MySQL
• Generative AI
• Deployment: Vercel (Frontend)

Project Goals

• Provide users with personalized recipe recommendations using machine learning algorithms.
• Foster a sense of community among food enthusiasts through a community forum.
• Enable users to discover, save, and interact with recipes.
• Enhance the cooking experience by offering ingredient substitutions and meal suggestions.

Features

• Personalized Recipe Recommendations
• Recipe Discovery & Collection
• Community Forum for Culinary Discussions
• User Reviews & Ratings
• Culinary Profiles
• Recipe Sharing
• AI-Powered Meal Suggestions

Highlights

Home Page

SignUp Page

SignIn Page

ChatBot

Recipe-Creation Form

Account Details

API Endpoints

• User Authentication

  • POST /all/register
  • POST /auth/signin

• User Profile

  • GET /user/getUser/{username}
  • PUT /user/{username}
  • GET /user/{username}/saved-recipes
  • POST /user/{username}/saved-recipes
  • DELETE /users/{username}/saved-recipes/{recipeId}
  • DELETE /user/{username}

• Recipe

  • GET /recipe/recipes/{recipeId}
  • GET /recipe/recipes
  • POST /recipe/create-recipe
  • PUT /recipe/{recipeId}
  • DELETE /recipe/recipeId/{recipeId}

• Community Forum

  • GET /api/forum/posts
  • GET /api/forum/posts/{postId}
  • POST /api/forum/posts
  • PUT /api/forum/posts/{postId}
  • DELETE /api/forum/posts/{postId}
  • POST /api/forum/posts/{postId}/comments
  • PUT /api/forum/posts/{postId}/comments/{commentId}
  • DELETE /api/forum/posts/{postId}/comments/{commentId}

Achievements

• Personalized recipe recommendations based on user preferences.
• Active community engagement through the community forum.
• Efficient database management using Spring Data JPA and MySQL.
• Integration of TensorFlow for machine learning-driven recommendations.

Getting Started

1. Clone the repository: git clone <https://github.com/mevicky9254/FoodChoice.git>
2. Set up the front-end and back-end environments.
3. Configure database settings in application.properties.
4. Run the application locally for development.

Contributing

Contributions are welcome! Fork the repository and submit a pull request.