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Diet Recommendation System

The Diet Recommendation System is a web application that aims to provide tailored meal plans based on individual dietary requirements. It leverages a combination of React, Node.js, Python, and Prolog to deliver a seamless and intelligent solution for promoting healthy eating habits.

Table of Contents

Introduction

Maintaining a balanced and nutritious diet is essential for overall well-being. The Personalized Diet Plan Recommender takes into account various factors such as age, weight, height, and dietary preferences to generate personalized meal plans. By analyzing this information and using a knowledge base and inference rules, the system provides recommendations that align with the user's specific nutritional needs.

Features

  • User-friendly interface for inputting personal details and dietary preferences
  • Intelligent recommendation system based on user information and dietary requirements
  • Tailored meal plans to promote healthy eating habits
  • Integration with Prolog for accurate inference and logic programming capabilities

Technologies Used

  • React: A JavaScript library for building user interfaces
  • Node.js: A runtime environment for executing JavaScript code on the server
  • Python: A versatile programming language used for backend development
  • Prolog: A logic programming language used for knowledge base management and inference

Installation

  1. Clone the repository: git clone https://github.com/Qamar2315/diet_recommendation_system
  2. Navigate to the project directory: cd diet_recommendation_system
  3. Install the required dependencies:
    • For frontend: npm install
    • For backend: pip install -r requirements.txt

Usage

  1. Start the frontend development server: npm start
  2. Launch the backend server: python app.py
  3. Access the web application in your browser at http://localhost:3000