AI-Powered Recipe Chatbot for Ingredient/Title-Based Retrieval

Overview

The AI-Powered Recipe Chatbot is a smart web application designed to recommend recipes based on ingredients, titles, dietary needs, and cuisine preferences. By leveraging Natural Language Processing (NLP), this chatbot allows users to easily query a vast collection of recipes with a conversational interface. It includes a fully preprocessed recipe database, a responsive web interface, and advanced query handling to ensure a smooth and personalized user experience.

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Table of Contents

• Project Overview
• Technologies Used
• Features
• Deliverables
• Getting Started
  • Prerequisites
  • Installation
• Usage
• Folder Structure
• License

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Technologies Used

• Frontend:
  • React (MERN stack)
  • HTML5, CSS3, JavaScript
  • Material UI for design components
• Backend:
  • Node.js
  • Express.js (API layer)
• Database:
  • MongoDB (For storing recipes and user data)
• NLP Framework:
  • Hugging Face Api (For NLP and query handling)
• AI Models:
  • Custom recipe recommendation models (For ingredient-based recipe retrieval)
• Hosting/Deployment:
  • Vercel for deployment

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Features

• Ingredient-Based Recipe Search:
  • Users can input a list of available ingredients, and the chatbot suggests recipes that can be made with those ingredients.
• Title-Based Search:
  • Users can search for recipes by title or keywords.
• Dietary & Cuisine Preferences:
  • Personalized recipe recommendations based on dietary needs (e.g., vegetarian, gluten-free) and cuisine preferences.
• Interactive Chat Interface:
  • A conversational interface where users can interact with the chatbot, asking for recipe suggestions or filtering by various parameters.
• Responsive Web Interface:
  • Optimized for both desktop and mobile devices, providing a seamless user experience.
• Recipe Saving:
  • Users can save their favorite recipes to their profile for easy access.

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Deliverables

• Fully Preprocessed Recipe Database:
  • A structured and clean dataset containing recipes categorized by ingredients, cuisine, and dietary tags.
• Web Interface (Frontend & Backend):
  • A responsive and user-friendly web interface that enables users to interact with the chatbot and retrieve recipe suggestions.
• NLP-Powered Query Handling:
  • Integration of Hugging Face API for intelligent query handling and user interaction.
• Interactive Recipe Chatbot:
  • A dynamic chatbot capable of understanding and responding to ingredient/title-based queries with personalized recipe suggestions.

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Getting Started

To get started with the AI-Powered Recipe Chatbot, follow the steps below:

Prerequisites

Ensure you have the following installed on your machine:

• Node.js (v14 or higher)
• MongoDB (for local development, or use MongoDB Atlas for a cloud database)
• React (for frontend development)
• Hugging Face API (for NLP framework)

Installation

1. Clone the repository:

git clone https://github.com/your-username/AI-Powered-Recipe-Chatbot.git
cd AI-Powered-Recipe-Chatbot

2. Install dependencies for both frontend and backend:

• Frontend:

  cd frontend
  npm install

• Backend:

  cd backend
  npm install

3. Set up environment variables (for database and API keys):

   • Create a .env file in the backend directory and add necessary keys:

     MONGO_URI=your_mongo_database_uri

4. Run the backend server:

   cd backend
   node index.js

5. Run the frontend server:

   cd frontend
   npm start

The application should now be live at http://localhost:3000 (or another specified port).

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Usage

Once the application is running:

• Open the web interface in your browser.
• You can input a list of ingredients or recipe title in the chatbot interface.
• The chatbot will respond with personalized recipe suggestions based on your input.

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Folder Structure

AI-Powered-Recipe-Chatbot/
├── backend/                # Backend code (API, NLP)
│   ├── controllers/        # API controllers for recipe retrieval and user management
│   ├── models/             # MongoDB models for recipes and users
│   ├── routes/             # Routes for API endpoints
│   ├── index.js           # Main server file
│   └── .env                # Environment variables
│
├── frontend/               # Frontend code (React)
│   ├── public/             # Static assets (images, etc.)
│   ├── src/                # Source code for React components
│   ├── src/App.js              # Main React component
│   └── package.json        # Frontend dependencies
│
├── .gitignore              # Git ignore file
└── README.md               # Project documentation

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License

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

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Best Regards,
Sambhav Gautam
(Creator of the AI-Powered Recipe Chatbot)