Swasthya Sampark

A Paradigm Shift in Healthcare

View Demo · Documentation · Report Bug · Request Feature

Introduction

Swasthya-Sampark is a healthcare platform designed to connect patients with doctors for real-time symptom tracking, consultations, and AI-driven health advice. The project was developed as part of a hackathon entry for Technoverse 2024, where it reached the finalist stage among 500+ teams.

Modules

1. Smart Health Solutions (Symptom Triage)

   • AI-powered symptom checker for real-time health insights.
   • Key Features: 24/7 symptom assessments, AI-driven care navigation, instant recommendations.

2. Doctor Portal

   • Manage appointments, view patient records, and perform consultations.
   • Key Features: Schedule management, access to patient records.

3. HealthGPT (AI Chatbot)

   • Interactive AI chatbot for health queries, symptoms, and treatments.
   • Key Features: Instant health answers, information on health conditions, medication guidance.

4. Report Summary Generation

   • Converts medical reports from images to text using ML algorithms and OCR technology.
   • Key Features: AI-driven report transformation, quick and precise conversion.

5. Patient Portal

   • Access health records, track medical history, and manage appointments.
   • Key Features: Health record access, appointment scheduling.

6. Consultation Management

   • Streamlines patient-doctor consultation processes.
   • Key Features: Manage consultation flow, real-time interaction through chat or video calls.

Purpose and Function

The platform aims to simplify healthcare accessibility by providing AI-powered consultations and enabling patients to connect directly with doctors. The AI chatbot analyzes symptoms and suggests health advice, enhancing consultation efficiency and user engagement.

Tools Used

• Backend: Node.js, Express.js, MongoDB
• Frontend: React
• Security: JWT for authentication
• Real-time Communication: socket.io
• AI Engine: Gemini LLM
• Validation: Zod for schema validation

Getting Started

Prerequisites

• Node.js (>= 14.x)
• npm or yarn
• MongoDB
• Python 3.8+
• pip for installing Python dependencies

Installation

1. Clone the repository:

   git clone -b localhost https://github.com/ozearkhan/Swasthya-Sampark.git

2. Navigate to the backend directory and install dependencies:

   cd ./backend
   npm install

3. Navigate to the frontend directory and install dependencies:

   cd ./swasthyaSampark
   npm install

4. Install Python dependencies for the ./6ml/6ml server:

   cd ./6ml/6ml
   pip install -r requirements.txt
   

Environment Configuration

Create a .env file in the backend directory with the following template. Replace the placeholders with your generated keys and URLs:

# Environment Configuration for Swasthya-Sampark Backend

# Application Environment
NODE_ENV=development

# Server Configuration
PORT=3001

# Database Configuration
MONGODB_URI=<your_mongodb_connection_string>

# JWT Secret for Authentication
JWT_SECRET=<your_jwt_secret_key>

# AI Engine Configuration
GEMINI_API_KEY=<your_gemini_api_key>
GEMINI_API_URL=https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash-latest
MODEL_NAME=gemini-1.5-pro

# Email Configuration
EMAIL=<your_email@example.com>
PASS=<your_email_password>

Generating Required Keys and API URLs

1. MongoDB URI:

   • Create a MongoDB Atlas account and generate a connection string for your database.

2. JWT Secret:

   • Generate a secure secret string for JSON Web Token (JWT) authentication.

3. Gemini API Key:

   • Sign up for access to the Google Generative Language API and obtain your API key.

4. Email and Password:

   • Use a secure email service for transactional emails. If using Gmail, consider setting up an App Password if 2FA is enabled.

Running the Application

1. Start the backend server:

   cd ./backend
   npm start

2. Start the frontend application:

   cd ./swasthyaSampark
   npm run dev

3. Start the ML server

   cd ./6ml/6ml
   python server.py

Contributing

We welcome contributions! Please follow these steps:

1. Fork the repository.
2. Create a new branch: git checkout -b feature/your-feature-name
3. Make your changes and commit them: git commit -m 'Add some feature'
4. Push to the branch: git push origin feature/your-feature-name
5. Create a pull request.

License

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

Contact

For any inquiries or issues, feel free to reach out to the project maintainers via ozearkhan1224@gmail.com.

---