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README.md

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-# 🩺 AI Healthcare Assistant
-
-A production-ready multi-agent AI healthcare assistant built with LangGraph, LangChain, Groq LLM, and Tavily API.
-
-## ✨ Features
-
-- **5 Intelligent Agents** working in collaboration:
-  - 🧠 Symptom Analyzer - Analyzes symptoms and identifies possible conditions
-  - 💊 Medication Agent - Suggests medications with safety information
-  - 🌿 Home Remedies Agent - Provides natural treatment options
-  - 🥗 Diet & Lifestyle Advisor - Offers nutritional and lifestyle guidance
-  - 👨‍⚕️ Doctor Recommendation Agent - Suggests relevant specialists
-
-- **Real-time Verified Data** via Tavily API
-- **Modern Streamlit UI** with collapsible cards and responsive design
-- **LangGraph Workflow** for seamless agent coordination
-- **Comprehensive Error Handling** and safety disclaimers
-
-## 🚀 Quick Start
-
-### 1. Install Dependencies
-
-```bash
-pip install -r requirements.txt
-```
-
-### 2. Set Up Environment Variables
-
-Create a `.env` file in the project root:
-
-```env
-GROQ_API_KEY=your_groq_key_here
-TAVILY_API_KEY=your_tavily_key_here
-```
-
-**Get your API keys:**
-- Groq API: https://console.groq.com/
-- Tavily API: https://tavily.com/
-
-### 3. Run the Application
-
-```bash
-streamlit run app.py
-```
-
-The app will open in your browser at `http://localhost:8501`
-
-## 📋 Requirements
-
-- Python 3.8+
-- Groq API key
-- Tavily API key
-
-## 🏗️ Project Structure
-
-The project is organized into modular components:
-
-```
-HealthCare Chatbot/
-├── app.py              # Main entry point - orchestrates UI and agents
-├── agents.py           # All agent definitions and LangGraph workflow
-├── ui.py               # Streamlit UI components and styling
-├── config.py           # API client initialization and configuration
-├── requirements.txt    # Python dependencies
-└── README.md          # Project documentation
-```
-
-## 📐 Architecture
-
-```
-User Input (UI)
-    ↓
-app.py (Main Orchestrator)
-    ↓
-agents.py (LangGraph Workflow)
-    ├── Symptom Analyzer Agent
-    ├── Medication Agent
-    ├── Home Remedies Agent
-    ├── Diet & Lifestyle Advisor Agent
-    └── Doctor Recommendation Agent
-    ↓
-Results Display (UI)
-```
-
-### Component Responsibilities
-
-- **`app.py`**: Main entry point that initializes clients, manages session state, and coordinates between UI and agents
-- **`agents.py`**: Contains all 5 agent functions, state definition, Tavily search helper, and LangGraph workflow creation
-- **`ui.py`**: All Streamlit UI components including header, sidebar, input forms, results display, and styling
-- **`config.py`**: Handles environment variable loading and API client initialization (Groq LLM and Tavily)
-
-## ⚠️ Important Disclaimer
-
-This AI Healthcare Assistant is designed for **informational and educational purposes only**. It does not provide medical diagnosis, treatment, or professional medical advice. Always consult with a qualified healthcare provider for any health concerns or before making any medical decisions.
-
-## 🛠️ Technology Stack
-
-- **LangGraph** - Multi-agent workflow coordination
-- **LangChain** - LLM orchestration
-- **Groq LLM (Llama-3-70b)** - Reasoning and responses
-- **Tavily API** - Real-time health data retrieval
-- **Streamlit** - Interactive frontend
-
-## 📝 License
-
-This project is for educational purposes.
-