🏥 AI Health Assistant Chatbot

📌 Overview

The AI Health Assistant Chatbot provides users with medical information, including:

• Disease Explanation: Gives a detailed understanding of various diseases.
• Symptoms Identification: Lists symptoms based on user queries.
• Treatment Information: Suggests possible treatments and medications.
• Precautionary Measures: Provides steps to prevent or manage diseases effectively.

This chatbot is built using LangChain, Hugging Face Models, and FAISS for efficient retrieval-based AI responses. It features a Streamlit UI for easy interaction.

---

🚀 Features

✅ AI-powered Q&A: Retrieves accurate health-related answers.
✅ Fast and Efficient: Uses FAISS for optimized response retrieval.
✅ User-friendly Interface: Built with Streamlit for smooth interaction.
✅ API Integration: Uses Hugging Face for model hosting.
✅ Scalable & Customizable: Can be expanded with more datasets and models.

---

🛠️ Installation

Ensure Python 3.8+ is installed. Then, install the required dependencies:

pip install langchain langchain_community langchain_huggingface faiss-cpu pypdf
pip install huggingface_hub
pip install streamlit

⚙️ Installation & Setup

To run the AI Health Assistant Chatbot, follow these steps:

📥 Prerequisites

Ensure you have the following installed:

• Python (>=3.8)
• pip
• Virtual environment (optional but recommended)

🚀 Running the Chatbot

1. Clone the repository:

git clone https://github.com/ryuk27/checkmate.git
cd checkmate

2. Run the chatbot:

streamlit run medibot.py

📜 Usage

• Open the chatbot interface in your browser.
• Enter queries related to diseases, symptoms, treatments, or precautions.
• Receive AI-generated responses based on medical knowledge.

Outputs