Smart Retrieval AI Chatbot - Backend

AI-powered chatbot backend with multilingual support, location-based recommendations, and real-time chat via WebSockets.

Features

• 🤖 Gemini AI Integration - Powered by Google's Gemini 1.5 Pro
• 🌍 Multilingual Support - 20+ languages with automatic detection
• 📍 Location-Based Search - Google Maps API integration for nearby places
• 💬 Real-time Chat - WebSocket support via Socket.IO
• 🔐 Authentication - JWT-based user authentication
• 📊 MongoDB Database - User data and chat history storage

Tech Stack

• Node.js + Express.js
• Socket.IO for WebSockets
• MongoDB with Mongoose
• Google Gemini AI API
• Google Maps Places API
• JWT Authentication

Environment Variables

Required environment variables:

MONGODB_URI=your_mongodb_connection_string
JWT_SECRET=your_jwt_secret_key
GEMINI_API_KEY=your_gemini_api_key
GOOGLE_MAPS_API_KEY=your_google_maps_api_key
FRONTEND_URL=your_frontend_url
ALLOWED_ORIGINS=your_frontend_url
NODE_ENV=production
PORT=5001

Deployment on Render

1. Create a new Web Service on Render
2. Connect your GitHub repository
3. Set build command: npm install
4. Set start command: npm start
5. Add all environment variables in Render dashboard
6. Deploy!

Local Development

npm install
npm run dev

Server will run on http://localhost:5001

API Endpoints

• POST /api/auth/register - User registration
• POST /api/auth/login - User login
• GET /api/user/profile - Get user profile
• POST /api/user/location - Update user location
• GET /api/chats - Get user's chat history
• POST /api/chats - Create new chat
• WebSocket connection for real-time chat

License

MIT