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
• Features
• Technologies Used
• Installation
• Usage

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