Project Overview:
An AI-driven chatbot designed to simplify travel planning by understanding user intent, answering queries, and automating bookings. It intelligently classifies requests (hotels, flights, policies, or general questions) and responds with accurate, actionable information—either from internal databases or live web sources.
Key Features:
- Intent Recognition & Dynamic Response
- Uses Natural Language Processing (NLP) to detect whether the user wants to:
- Book a hotel/flight (extracts dates, location, budget).
- Ask policy questions (e.g., cancellation rules, visa requirements).
- Request general travel info (e.g., weather, local attractions).
- Automated Booking & Database Integration
- Seamlessly retrieves hotel/flight options from internal databases by parsing conversation details (e.g., *”Show beach resorts in Bali under $200/night for June”*).
- Confirms bookings via integrated payment gateways.
- Real-Time General Q&A
- For non-booking queries (e.g., “Is a visa needed for Thailand?” or “What’s the weather in Paris next week?”), the chatbot fetches answers from:
- Policy databases (company/airline rules).
- Live APIs (weather, currency rates, tourism info).
Technology Stack:
- NLP Models (e.g., Dialogflow, Rasa) for intent classification and entity extraction.
- Backend Integration with booking systems (e.g., Amadeus, Expedia APIs) and internal databases.
- Third-Party APIs (Google Weather, OpenWeatherMap) for real-time general queries.
Benefits:
- Faster Bookings: Reduces manual steps by auto-filling user preferences.
- 24/7 Self-Service: Instant answers to policy/general questions.
- Scalability: Handles thousands of simultaneous queries without human agents.
