Medicine Recommender System

Welcome to the Medicine Recommender System! This project is designed to provide personalized medication recommendations based on user inputs and conditions. The application features a user-friendly interface built with React for the frontend and a robust backend powered by Python and Flask.

Table of Contents

• Features
• Technologies Used
• Installation
• Usage
• API Endpoints
• Contributing
• License

Features

• User Input: Collects user details to provide tailored recommendations.
• Medication Suggestions: Recommends medications based on the provided conditions.
• Responsive Design: Optimized for both desktop and mobile devices.

Technologies Used

Frontend

• React: JavaScript library for building user interfaces.
• Material-UI: A popular React UI framework for faster and easier web development.
• TypeScript: A typed superset of JavaScript that compiles to plain JavaScript.

Backend

• Python: The primary language used for backend development.
• Flask: A lightweight WSGI web application framework in Python.
• Flask-CORS: An extension for handling Cross-Origin Resource Sharing (CORS).

Installation

Client (Frontend)

1. Clone the repository:

   git clone https://github.com/rish2311/Medicine-Recommender-System.git
   cd Medicine-Recommender-System/client
   
   

2. Install the required packages: npm install

Server(Backend): cd Medicine-Recommender-System/server

Create a virtual environment (optional but recommended): python -m venv venv source venv/bin/activate # On Windows use venv\Scripts\activate

Install Required packages:

pip install -r requirements.txt

#Start Backend: python app.py # Replace app.py with your main server file name

#Start Frontend: npm start

Open your web browser and navigate to http://localhost:3000 to access the application.