Update README.md

README.md

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-# 🤖 Raktim Mondol's Portfolio with RAGtim Bot
-
-A modern, responsive portfolio website featuring an intelligent AI assistant powered by multiple backend options including Hugging Face Transformers.
-
-## 🌟 Features
-
-### Portfolio Website
-- **Responsive Design**: Beautiful, mobile-first design with dark/light theme support
-- **Interactive Sections**: Education, Experience, Skills, Research, Publications, Awards
-- **Audio Summaries**: Listen to AI-generated summaries of research papers
-- **Thesis Mind Map**: Interactive visualization of PhD research (desktop only)
-- **Contact Form**: Direct email integration with validation
-
-### RAGtim Bot - AI Assistant
-- **Multiple Backend Options**: Choose from Hugging Face Space, Backend Server, or Netlify Functions
-- **Advanced Search**: Hybrid semantic + keyword search for accurate responses
-- **Comprehensive Knowledge**: Covers all aspects of Raktim's expertise
-- **Real-time Chat**: Instant responses with conversation history
-- **Performance Optimized**: Caching and efficient processing
-
-## 🚀 RAGtim Bot Deployment Options
-
-### Option 1: Hugging Face Space (Recommended) 🤗
-**Pros**: Free GPU acceleration, no API keys needed, automatic scaling
-**Best for**: Public deployment, maximum performance
-
-```bash
-# Set environment variable
-VITE_USE_HUGGING_FACE=true
-```
-
-**Live Demo**: [RAGtim Bot on Hugging Face](https://huggingface.co/spaces/raktimhugging/ragtim-bot)
-
-### Option 2: Backend Server 🖥️
-**Pros**: Full control, local processing, custom configurations
-**Best for**: Development, private deployments
-
-```bash
-# Set environment variables
-VITE_USE_BACKEND=true
-VITE_BACKEND_URL=http://localhost:3001
-VITE_DEEPSEEK_API_KEY=your_api_key
-
-# Start backend server
-cd server
-npm install
-npm run dev
-
-# Start frontend
-npm run dev
-```
-
-### Option 3: Netlify Functions ⚡
-**Pros**: Serverless, automatic scaling, integrated with Netlify
-**Best for**: Simple deployments, cost-effective
-
-```bash
-# Set environment variable
-VITE_DEEPSEEK_API_KEY=your_api_key
-# (VITE_USE_HUGGING_FACE and VITE_USE_BACKEND should be false or unset)
-```
-
-## 🛠️ Quick Start
-
-### 1. Clone and Install
-```bash
-git clone <repository-url>
-cd portfolio
-npm install
-```
-
-### 2. Choose Your RAG Backend
-
-#### For Hugging Face Space (Easiest):
-```bash
-echo "VITE_USE_HUGGING_FACE=true" > .env
-npm run dev
-```
-
-#### For Backend Server:
-```bash
-echo "VITE_USE_BACKEND=true" > .env
-echo "VITE_BACKEND_URL=http://localhost:3001" >> .env
-echo "VITE_DEEPSEEK_API_KEY=your_api_key" >> .env
+---
+title: RAGtim Bot - Raktim's AI Assistant
+emoji: 🤖
+colorFrom: green
+colorTo: blue
+sdk: gradio
+sdk_version: "4.15.0"
+app_file: app.py
+pinned: false
+license: mit
+---
 
-# Start both frontend and backend
-npm run dev:full
-```
+# 🤖 RAGtim Bot - Raktim's AI Assistant
 
-#### For Netlify Functions:
-```bash
-echo "VITE_DEEPSEEK_API_KEY=your_api_key" > .env
-npm run dev
-```
+An intelligent AI assistant powered by Hugging Face Transformers that answers questions about Raktim Mondol's research, expertise, and professional background.
 
-### 3. Open Browser
-Visit `http://localhost:5173` to see the portfolio with RAGtim Bot!
-
-## 📊 RAGtim Bot Comparison
-
-| Feature | Hugging Face | Backend Server | Netlify Functions |
-|---------|-------------|----------------|-------------------|
-| **Setup Complexity** | ⭐ Easy | ⭐⭐⭐ Complex | ⭐⭐ Medium |
-| **Performance** | ⭐⭐⭐ Excellent | ⭐⭐⭐ Excellent | ⭐⭐ Good |
-| **Cost** | 🆓 Free | 💰 Server costs | 💰 Function costs |
-| **Scalability** | ⭐⭐⭐ Auto | ⭐⭐ Manual | ⭐⭐⭐ Auto |
-| **Customization** | ⭐⭐ Limited | ⭐⭐⭐ Full | ⭐⭐ Medium |
-| **API Key Required** | ❌ No | ✅ Yes | ✅ Yes |
-
-## 🎯 RAGtim Bot Capabilities
-
-### What You Can Ask:
-- **Research**: "What is Raktim's research about?"
-- **Publications**: "Tell me about BioFusionNet"
-- **Skills**: "What programming languages does he know?"
-- **Experience**: "Where has he worked?"
-- **Education**: "What degrees does he have?"
-- **Statistics**: "What statistical methods does he use?"
-- **Contact**: "How can I reach Raktim?"
-
-### Technical Features:
-- **Semantic Search**: Understanding context and meaning
-- **Keyword Matching**: Exact term matching for precision
-- **Conversation Memory**: Maintains chat history
-- **Response Caching**: Fast repeated queries
-- **Error Handling**: Graceful fallbacks and error messages
-
-## 🔧 Development
-
-### Frontend Development
-```bash
-npm run dev          # Start development server
-npm run build        # Build for production
-npm run preview      # Preview production build
-```
+## 🌟 Features
 
-### Backend Development (if using backend server)
-```bash
-cd server
-npm run dev          # Start backend in development
-npm run start        # Start backend in production
-npm run install-models  # Pre-download AI models
+- **Complete Markdown Knowledge Base**: Loads all portfolio content from markdown files
+- **GPU-Accelerated Search**: Uses `sentence-transformers/all-MiniLM-L6-v2` for semantic similarity
+- **Comprehensive Coverage**: Research, publications, skills, experience, education, statistics
+- **API Endpoints**: Direct access to search and statistics
+- **Real-time Chat**: Interactive conversational interface
+
+## 📚 Knowledge Base
+
+This Space loads comprehensive information from:
+
+- **about.md** - Personal information, contact details, professional summary
+- **research_details.md** - Detailed research projects, methodologies, current work
+- **publications_detailed.md** - Complete publication details, technical contributions
+- **skills_expertise.md** - Comprehensive technical skills, tools, frameworks
+- **experience_detailed.md** - Professional experience, teaching, research roles
+- **statistics.md** - Statistical methods, biostatistics expertise, methodologies
+
+## 🔍 What You Can Ask
+
+- Research projects and methodologies
+- Publications with technical details
+- Technical skills and programming expertise
+- Educational background and achievements
+- Professional experience and teaching roles
+- Statistical methods and biostatistics applications
+- Awards, recognition, and professional development
+- Contact information and collaboration opportunities
+
+## 🚀 API Usage
+
+### Search API
+```python
+import requests
+
+response = requests.post(
+    "https://raktimhugging-ragtim-bot.hf.space/api/search",
+    json={"query": "What is Raktim's research about?", "top_k": 5}
+)
+results = response.json()
 ```
 
-### Full Stack Development
-```bash
-npm run dev:full     # Start both frontend and backend
-npm run build:full   # Build both frontend and backend
+### Stats API
+```python
+response = requests.get("https://raktimhugging-ragtim-bot.hf.space/api/stats")
+stats = response.json()
 ```
 
-## 🚀 Deployment
-
-### Deploy to Netlify (with Hugging Face)
-1. Set `VITE_USE_HUGGING_FACE=true` in Netlify environment variables
-2. Deploy normally - no additional configuration needed!
-
-### Deploy to Netlify (with Functions)
-1. Set `VITE_DEEPSEEK_API_KEY` in Netlify environment variables
-2. Netlify Functions will be automatically deployed
-
-### Deploy Backend Server
-Choose from:
-- **Railway**: Easy deployment with automatic scaling
-- **Render**: Free tier available, good for development
-- **DigitalOcean**: Full control, various pricing options
-- **AWS/GCP**: Enterprise-grade with advanced features
-
-## 📱 Mobile Experience
+## 🔧 Technical Details
 
-- **Responsive Design**: Optimized for all screen sizes
-- **Touch-Friendly**: Large buttons and easy navigation
-- **Fast Loading**: Optimized assets and lazy loading
-- **Offline Fallback**: Graceful degradation when offline
+- **Model**: sentence-transformers/all-MiniLM-L6-v2
+- **Embedding Dimension**: 384
+- **Search Type**: Semantic similarity with relevance scoring
+- **Knowledge Sections**: 50+ sections across 6 markdown files
+- **GPU Acceleration**: Automatic CUDA detection and usage
 
-## 🎨 Customization
+## 🌐 Integration
 
-### Themes
-- Light and dark mode support
-- Consistent color scheme throughout
-- Smooth transitions and animations
+This Space can be integrated with:
+- Portfolio websites for intelligent chat assistance
+- Research collaboration platforms
+- Academic networking tools
+- Professional inquiry systems
 
-### Content
-- Easy content updates via markdown files
-- Modular component structure
-- Configurable sections and features
+## 📞 Contact
 
-## 🔒 Security & Privacy
-
-- **No Data Storage**: Conversations are not stored permanently
-- **Secure APIs**: All API calls use HTTPS
-- **Input Validation**: Prevents malicious inputs
-- **Rate Limiting**: Prevents abuse and spam
-
-## 📈 Performance
-
-- **Lighthouse Score**: 95+ across all metrics
-- **Fast Loading**: Optimized bundle sizes
-- **Efficient Caching**: Smart caching strategies
-- **CDN Ready**: Optimized for global delivery
-
-## 🤝 Contributing
-
-1. Fork the repository
-2. Create a feature branch
-3. Make your changes
-4. Test thoroughly
-5. Submit a pull request
-
-## 📄 License
-
-MIT License - see LICENSE file for details
-
-## 🙏 Acknowledgments
-
-- **Hugging Face**: For providing free GPU-accelerated AI hosting
-- **OpenAI/DeepSeek**: For powerful language models
-- **Netlify**: For seamless deployment and functions
-- **React/Vite**: For the excellent development experience
-- **Tailwind CSS**: For beautiful, responsive styling
+For questions about Raktim Mondol or collaboration opportunities:
+- **Email**: r.mondol@unsw.edu.au
+- **Portfolio**: [mondol.me](https://mondol.me)
+- **Institution**: UNSW Sydney, School of Computer Science & Engineering
 
 ---
 
-**Live Demo**: [mondol.me](https://mondol.me)
-**RAGtim Bot**: [Hugging Face Space](https://huggingface.co/spaces/raktimhugging/ragtim-bot)
-
-Built with ❤️ by Raktim Mondol
+**Built with**: Gradio, Hugging Face Transformers, PyTorch
+**Powered by**: GPU-accelerated semantic search and comprehensive markdown knowledge base