Telehealth Platform

A comprehensive telehealth application designed to facilitate remote patient management, virtual consultations, and intelligent symptom analysis via an integrated chatbot.

Table of Contents

• Requirements
• Features
• Tech Stack
• System Diagram
• Installation Guide
• Running the Application
• Project Structure
• License

Requirements

• Node.js (v14 or higher) and npm/yarn for the frontend and backend
• Python (v3.7 or higher) and a virtual environment for the symptom prediction service
• [Optional] Docker for containerized deployment

Features

• User Interface: Responsive frontend built with React and Vite.
• Real-time Communication: Seamless integration between frontend and backend components.
• Virtual Consultations: Support for patient-doctor interactions.
• Symptom Prediction: Machine learning analysis using a pre-trained ANN model.
• Chatbot Integration: AI-powered chatbot for primary symptom assessment.
• Secure Authentication: User management and authorization to ensure data privacy.

Tech Stack

• Frontend: React, Vite, Tailwind CSS
  (vite.config.js, tailwind.config.js)
• Backend: Node.js (check server/backend/index.js for details)
• Symptom Prediction Service: Python with a pre-trained ANN model (app.py)
• Styling: CSS with Tailwind & PostCSS (postcss.config.js)

System Diagram

          +-------------------+
          |    End Users      |
          +---------+---------+
                    |
                    V
          +-------------------+        REST API calls
          |   Frontend App    | <----------------------+
          | (React & Vite)    |                        |
          +---------+---------+                        |
                    |                                  |
                    V                                  |
          +-------------------+                        |
          |   Backend API     | -----------------------+
          |    (Node.js)      |
          +---------+---------+
                    |
                    V
          +-------------------------+
          | Symptom Prediction      |
          |   Service (Python)      |
          +-------------------------+

Installation Guide

Frontend Setup

1. Navigate to the frontend directory:

   cd frontend

2. Install dependencies:

   npm install

3. Start the development server:

   npm run dev

Backend Setup

1. Navigate to the server/backend directory:

   cd server/backend

2. Install dependencies:

   npm install

3. Start the backend server in development mode:

   npm run start-dev

Symptom Prediction Service Setup

1. Navigate to the server/symptoms_prediction directory:

   cd server/symptoms_prediction

2. Set up a Python virtual environment:

   python -m venv venv
   source venv/bin/activate      # On Windows use: venv\Scripts\activate

3. Install the required Python packages:

   pip install -r requirements.txt

4. Run the Python application:

   python app.py

Running the Application

• Frontend: Available at http://localhost:3000 (or as printed in your terminal).
• Backend: Accessible at http://localhost:5000 or a custom port as configured.
• Symptom Prediction Service: Running on the port specified in your Python app configuration (commonly http://localhost:8000).

Project Structure

Telehealth_Platform/
├── README.md
├── frontend/
│   ├── .eslintrc.cjs
│   ├── .gitignore
│   ├── config.js
│   ├── index.html
│   ├── package.json
│   ├── postcss.config.js
│   ├── README.md
│   ├── tailwind.config.js
│   ├── vite.config.js
│   ├── public/
│   │   └── vite.svg
│   └── src/
│       ├── App.css
│       ├── App.jsx
│       ├── index.css
│       ├── main.jsx
│       ├── assets/
│       ├── components/
│       ├── context/
│       ├── Dashboard/
│       ├── hooks/
│       ├── layout/
│       ├── pages/
│       ├── routes/
│       └── utils/
└── server/
    ├── backend/
    │   ├── .gitignore
    │   ├── index.js
    │   ├── package.json
    │   ├── auth/
    │   ├── Controllers/
    │   ├── models/
    │   └── Routes/
    └── symptoms_prediction/
        ├── ann_model.pkl
        ├── app.py
        ├── Doctor_Versus_Disease.csv
        └── ... other files ...

License

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