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Project README

Project Title: AI-Powered Ayurvedic Medicine Recommendation System

Table of Contents

  1. Project Description
  2. Problem Statement
  3. Features
  4. Dependencies
  5. Installation

Project Description

This project aims to create an AI-powered web application that assists users in finding the most prescribable Ayurvedic medicines based on their input symptoms. Additionally, the system will diagnose the potential disease based on the provided symptoms using Machine Learning techniques. This project is a part of the Smart India Hackathon (SIH) and involves a collaborative effort from the team to address this healthcare challenge.

Problem Statement

The primary goal of this project is to address the following problem statement:

  • Develop a web application that leverages AI and ML to recommend Ayurvedic medicines based on the input symptoms.
  • Provide a disease diagnosis based on the symptoms entered by the user.
  • Enhance the overall health and wellness of users by offering reliable Ayurvedic solutions.

Features

  • User-friendly web interface for symptom input.
  • AI-based recommendation engine for Ayurvedic medicines.
  • Machine Learning model for disease diagnosis.
  • Secure user authentication and privacy.
  • Extensive database of Ayurvedic medicines and diseases.
  • Real-time updates and maintenance.

Dependencies

To run this project, you will need the following dependencies:

  • Python 3.x
  • Flask
  • HTML/CSS/JavaScript (for the frontend)
  • MySQL/SQLite (for database storage)

Installation

  1. Clone the repository: 
    git clone https://github.com/parthyadav51/SWASTH-AI.git
cd SWASTH-AI

Create a virtual environment (optional but recommended):

bash python3 -m venv venv source venv/bin/activate Install Python dependencies:

bash pip install -r requirements.txt Set up your database:

Create a MySQL or SQLite database. Configure the database connection in the project's configuration file. Run the application:

bash python app.py