Hospital Chatbot Project - Ironhack Final Project

🔖 Overview

This project is a hospital chatbot designed to help users:

• Get answers to hospital-related questions using a comprehensive healthcare dataset
• Analyze medical data and statistics from WHO guidelines
• Interact using both text and voice responses
• Access medical best practices and healthcare procedures

The chatbot leverages advanced AI technologies including LangChain, OpenAI GPT-4, and Pinecone for accurate, context-aware responses.

⚙️ Features

• Smart Data Analysis: Query and analyze healthcare dataset including patient records, billing information, and medical conditions
• Voice Interaction: Automatic voice responses using OpenAI's Text-to-Speech
• Multimodal Interface: Both command-line and Streamlit web interface
• RAG Integration: Access to WHO guidelines and healthcare statistics through PDF knowledge base
• Contextual Memory: Maintains conversation history for more coherent interactions

🛠️ Technical Stack

• LangChain: For agent creation and chain management
• OpenAI: GPT-4 for text generation, TTS for voice responses
• Pinecone: Vector database for document retrieval
• Streamlit: Web interface
• Pygame: Audio playback management
• PyPDF2: PDF document processing

📁 Project Structure

FinalProject/
├── .env                         # Environment variables configuration
├── dataset/
│   └── healthcare_dataset.csv   # Main healthcare dataset
├── healthcare_pdfs/            # Knowledge base documents
│   ├── 9789241513906-eng.pdf  # WHO quality health services guide
│   └── whohealthStat.pdf      # World health statistics 2024
├── Notebooks/                 # Jupiter Notebooks
│   └── notebook.ipynb        # Notebook
├── utils/
│   ├── __init__.py
│   └── audio_manager.py       # Audio playback system
├── src/
│   ├── main.py      #Bot Implementation          
│   └── app.py       #Streamlit Web Interface  
├── tests/
│   ├── app_test.py    #Streamlit Web Interface test
│   └── testscript.py  #Bot Implementation test
├── requirements.txt         # Python dependencies
└── README.md               # Project documentation

🚀 Getting Started

Prerequisites

• Python 3.8+
• OpenAI API key
• Pinecone API key

Installation

1. Clone the repository
2. Install dependencies:

pip install -r requirements.txt

3. Set up environment variables:

OPENAI_API_KEY=your_openai_key
PINECONE_API_KEY=your_pinecone_key

Running the Application

• For web interface:

streamlit run app.py

• For command line interface:

python main.py

🤖 Example Questions

• "What is the average billing amount for patients?"
• "How many patients are in the system?"
• "What are the most common medical conditions?"
• "Tell me about WHO's guidelines for quality healthcare"
• "What are the best practices for hospital management?"

🚀 Future Improvements

Voice Interaction

• Add speech-to-text capability for voice input
• Implement voice activity detection for better interaction
• Add support for multiple languages in voice responses

Data Analysis

• Implement advanced analytics for patient trends
• Add visualization tools for medical data

UI/UX Enhancements

• Add dark mode support
• Implement mobile-responsive design
• Add data visualization dashboard

AI Capabilities

• Integrate medical image analysis
• Add symptom checker functionality
• Implement medication interaction warnings
• Enhance context awareness across conversations
• Add support for medical document OCR

📨 Contact

For questions or suggestions:

• Email: solved.pt@gmail.com