DocEase 🏥 - AI-Powered Medical Chatbot

DocEase is an AI-powered medical chatbot designed to provide accurate medical information by leveraging DeepSeek RAG with Ollama. It retrieves information from a medical knowledge base and generates responses only from verified medical sources.

🚨 Note: This chatbot is for informational purposes only and does not replace professional medical advice.

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🌟 Features

✅ Medical-Specific Knowledge Base – Uses vector search with Pinecone for accurate retrieval.
✅ DeepSeek RAG + Ollama Integration – Provides AI-generated responses based on retrieved documents.
✅ Strict Filtering – Ensures only medical-related queries are answered.
✅ Flask API – Easily deployable web-based chatbot.
✅ User-Friendly Interface – Simple UI for interactive Q&A.

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🖼️ Visuals

📌 Medical Example:

📌 Non Medical Example:

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🔧 Installation & Setup

🚀 Step 1: Fork the Repository

1. Click on the Fork button in the top-right of this repository.
2. Clone your forked version locally:

   git clone https://github.com/YOUR_USERNAME/DocEase.git
   cd DocEase

🛠 Step 2: Install Dependencies

Ensure you have Python 3.8+ installed. Then, set up a virtual environment and install dependencies:

python -m venv venv
source venv/bin/activate  # On Windows, use: venv\Scripts\activate
pip install -r requirements.txt

🧠 Step 3: Install Ollama & DeepSeek Model

1. Install Ollama:

   curl -fsSL https://ollama.ai/install.sh | sh  # For Mac & Linux

   On Windows, download it from: Ollama Website

2. Pull the DeepSeek RAG Model:

   ollama pull deepseek-r1:1.5b

🏗 Step 4: Configure Pinecone (Vector Database)

1. Sign up at Pinecone and get your API key.
2. Add your Pinecone API key in a .env file:

   PINECONE_API_KEY=your_api_key_here
   

▶ Step 5: Run the Application

Start the Flask server:

python app.py

The chatbot will be available at:
📍 http://localhost:8080

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🎯 Usage

• Enter a medical query (e.g., What are the symptoms of diabetes?).
• The chatbot retrieves relevant documents and generates an accurate response.
• If the question is not medical-related, it will reject the query.

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📌 Tech Stack

• Backend: Flask, Python
• LLM: DeepSeek RAG (via Ollama)
• Vector Search: Pinecone
• Frontend: HTML, CSS, JavaScript
• Environment: Docker (optional)

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🚀 Future Enhancements

🔹 Add speech-to-text for voice input.
🔹 Implement multi-modal AI for medical images.
🔹 Enhance UI with real-time chat animations.
🔹 Fine-tune response accuracy with better chunking strategies.

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🤝 Contributing

Want to improve DocEase? Fork this repo, create a feature branch, and submit a pull request!

git checkout -b feature-branch
git commit -m "Added new feature"
git push origin feature-branch

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📩 Contact

📧 Email: [email protected] 🌐 GitHub: mukkss

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