Healthcare Chatbot

A healthcare chatbot that provides medical diagnosis and recommendations based on user input symptoms using a fine-tuned model deployed on Hugging Face.

Check out the deployed Model on Hugging Face.

Note:-

If you are using the deployed app for testing then kindly wait for 40 sec - 50 sec after the first input. It takes around 50sec to restart the server again.

Table of Contents

• Overview
• Features
• Technologies Used
• Setup and Installation
• Running the Project
• License

Overview

This project involves a chatbot that accepts symptoms from the user and returns possible medical conditions and recommendations. It leverages a fine-tuned BERT model deployed on Hugging Face for the predictions.

Features

• Chat interface for entering symptoms.
• Real-time medical diagnosis and recommendations.
• Typing effect for bot responses.

Technologies Used

Frontend

• React
• Axios
• Typing Effect Hook
• CSS

Backend

• Node.js
• Express.js
• Axios
• Hugging Face API

Setup and Installation

Prerequisites

• Node.js and npm installed on your machine.

Installation Steps

1. Clone the repository:

   git clone https://github.com/RishiRaj0712/healthcare_chatbot.git
   cd healthcare_chatbot 

2. Install frontend dependencies:

   cd diagnosis-chatbot
   npm install

3. Install backend dependencies:

   cd ../diagnosis-chatbot-backend
   npm install

Environment Variables

Create a .env file in the diagnosis-chatbot-backend directory and add your Hugging Face API token:

HUGGING_FACE_API_TOKEN=your_hugging_face_api_token

Running the Project

1. Navigate to the backend directory:

   cd diagnosis-chatbot-backend

2. Start the backend server:

   node index.js

Running the Frontend

1. Open a new terminal and navigate to the frontend directory:

   cd diagnosis-chatbot

2. Start the frontend development server:

   npm run dev

3. Open your browser and navigate to http://localhost:5173 to interact with the chatbot.

License

This project is licensed under the MIT License.