MediTrain - Medical Chatbot

Overview

MediTrain is an AI-powered medical assistant designed to provide users with accurate, empathetic, and clear answers to medical queries. Built using Groq's powerful AI models and Flask, MediTrain emphasizes user-friendly interactions while ensuring that users are reminded to seek professional healthcare advice for proper diagnosis and treatment.

Features

• Conversational Context : Retains the context of recent interactions to provide relevant and cohesive responses.
• Medical Focus : Tailored to assist with general medical questions while avoiding direct diagnoses.
• Empathetic Responses : Ensures responses are clear, considerate, and accurate.

Prerequisites

To run MediTrain locally, ensure you have the following:

• Python 3.8+
• A valid Groq API key in the .env file
• Libraries specified in requirements.txt

Installation

1. Clone this repository:

   git clone https://github.com/RachitKumarA/Infosys-Internship.git
   cd MediTrain-Chatbot

2. Create a virtual environment and activate it:

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

3. Install the dependencies:

   pip install -r requirements.txt

4. Set up your environment variables by creating a .env file in the root directory:

   GROQ_API_KEY=your_groq_api_key_here

Usage

1. Run the application:

   python app.py

2. Open the application in your browser (default: http://localhost:5000).
3. Interact with MediTrain by typing your medical queries in the input box.

Project Structure

• app.py : Main Flask application script.
• requirements.txt : List of required Python packages.
• .env : Environment file containing sensitive API keys (not included in the repository).

Key Libraries

• Groq : AI model powering the chatbot.
• Python-dotenv : For managing environment variables.
• Flask : For backend

Important Notes

• MediTrain is designed as a medical assistant but does not provide medical diagnoses or treatment plans.
• Always consult a certified healthcare professional for medical concerns.

Future Enhancements

• Add support for multilingual queries.
• Enhance conversation memory to retain context over extended sessions.
• Introduce additional models for region-specific medical advice.

License

This project is licensed under the MIT License.

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Enjoy using MediTrain and let us know if you have suggestions or encounter issues!