🏥 MediTrainAI - Empowering the Doctors of Tomorrow, Today

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📋 Overview

MediTrainAI is a smart medical chatbot designed to assist users with general medical queries. Powered by Groq's AI models and a sleek Streamlit interface, MediTrainAI offers empathetic, accurate, and user-friendly interactions.

⚠️ Note: MediTrainAI is not a replacement for professional healthcare advice. Always consult a certified healthcare provider for medical concerns.

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⭐ Key Features

🧠 Smart Conversational Context

• Retains the context of recent interactions for cohesive and natural responses.

🔍 Medical Query Assistance

• Provides reliable, general health-related guidance while avoiding direct medical diagnoses.

🖥️ Streamlit-Based Interface

• Intuitive, modern, and interactive web UI, designed for seamless user experience.

💬 Empathy-Focused Responses

• Ensures that responses are accurate, considerate, and easy to understand for everyone.

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🛠️ Technology Stack

• 🐍 Backend: Python Flask
• 💾 Database: MySQL
• 🤖 AI/ML: Sentence-Transformers (BERT)
• 🎨 Frontend: HTML5, CSS3, JavaScript
• 🔐 Authentication: Flask-Login
• 📁 File Handling: Werkzeug
• 🎭 Icons: Font Awesome 6

📂 Project Structure

MediTrainAI/
├── app.py                    # Main Flask application
├── database.py              # Database models and configuration
├── static/
│   ├── style.css           # Main stylesheet with profile styling
│   ├── uploads/            # User uploaded files
│   └── script.js           # Frontend JavaScript
├── templates/
│   ├── index.html          # Main application interface
│   └── patient_register.html # Registration page
└── data/
    └── medical_conditions.json # Medical conditions database
''' 


## 🚀 **Getting Started**  

### 🛑 **Prerequisites**  
Ensure you have the following installed on your system:  
1. **Python 3.8+**  
2. **Groq API Key** (get it from Groq's API portal)  

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### 🛠️ **Setup Instructions**  

1. **Clone the repository**  
   ```bash
   git clone https://github.com/yourusername/MediTrainAI.git
   cd MediTrainAI

2. Create and activate a virtual environment

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

3. Install dependencies

   pip install -r requirements.txt

4. Set up your API key
   Create a file named .env in the project root and add:

   GROQ_API_KEY=your_groq_api_key_here
   

5. Run the application

   streamlit run app.py

   The application will open in your browser (default: http://localhost:8501).

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🔒 Security Features

• API key storage using .env.
• Prevents exposure of sensitive information in logs or UI.

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📄 License

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

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💬 Contact & Support

For questions, suggestions, or issues, please reach out:

✉️ Email: ayinalakoteswararao15@gmail.com

Made with ❤️ by Ayinala Koteswararao