AI-Powered Chatbot Integration for WardhaMetroFlow #182
Description
Feature Request: AI-Powered Chatbot Integration for WardhaMetroFlow
Issue Description
Problem Statement
The WardhaMetroFlow website currently lacks an interactive way for passengers to get real-time information about metro services, routes, fares, and schedules. Users have to navigate through multiple pages to find basic information.
Proposed Solution
Implement an AI-powered chatbot that uses LangChain and Google Gemini AI to provide intelligent, context-aware responses based on comprehensive website documentation. The chatbot should be able to answer questions about:
- Metro routes and station information
- Fare structures and pricing
- Operating hours and schedules
- Lost & found procedures
- Contact information and emergency contacts
- General metro etiquette and policies
Feature Requirements
Frontend Integration
- Floating chat widget on all website pages
- Responsive design for mobile and desktop
- Typing indicators and smooth animations
- Suggestion chips for common queries
- Error handling with fallback responses
Backend Implementation
- FastAPI endpoint for chatbot communication (
/api/assistant) - LangChain integration with Google Gemini AI
- Document loading from comprehensive website knowledge base
- Vector embeddings for semantic search
- Intelligent intent detection and response generation
Knowledge Base
- Comprehensive documentation file (
docs/website_info.txt) - Structured information about all 17 metro stations
- Route mappings and directions
- Fare structures and payment methods
- Contact information and emergency procedures
- Operating hours and service schedules
AI Features
- Natural language processing for user queries
- Contextual responses based on website data
- Fallback handling for unclear queries
- Multi-turn conversation support
- Response suggestions for follow-up questions
Technical Stack
Frontend
- HTML5/CSS3/JavaScript
- Floating chat widget with modern UI
- AJAX calls to backend API
- Timeout handling and error recovery
Backend
- FastAPI framework
- LangChain for AI orchestration
- Google Gemini AI for conversational responses
- FAISS vector store for document retrieval
- Comprehensive logging and error handling
AI/ML
- LangChain Core for RAG (Retrieval-Augmented Generation)
- Google Generative AI embeddings
- Document chunking and vectorization
- Semantic search capabilities
Files to be Modified/Created
New Files
docs/website_info.txt # Comprehensive knowledge base
backend/.env # Environment variables
Modified Files
backend/requirements.txt # Add LangChain dependencies
backend/routers/assistant.py # Replace with LangChain implementation
frontend/components/chatbot.js # Update for new API structure
Environment Setup
Required Dependencies
langchain==0.1.0
langchain-google-genai==1.0.1
google-generativeai==0.3.2
faiss-cpuEnvironment Variables
GOOGLE_API_KEY=your_gemini_api_key_hereTesting Requirements
Functional Tests
- Chatbot widget appears on homepage
- API endpoint responds correctly
- AI generates accurate responses from knowledge base
- Error handling works for invalid queries
- Mobile responsiveness verified
Integration Tests
- End-to-end conversation flow
- Knowledge base accuracy validation
- API timeout and fallback behavior
- CORS configuration verification
Labels
- enhancement
- AI/ML
- frontend
- backend
- hacktoberfest
- hacktoberfest-accepted
Timeline
Target Completion: Before October 31st, 2025
Priority: High
Assignee: Available for Hacktoberfest contribution
Hacktoberfest Contribution
This issue is perfect for Hacktoberfest! It involves:
- Modern AI/ML integration
- Full-stack development (frontend + backend)
- Real-world application with transportation domain
- Comprehensive documentation and testing
Please assign this issue to me for Hacktoberfest participation!
Can the PR be merged before October 31st to count towards Hacktoberfest?