Travel Tailor - AI-Powered Travel Planning System

Abstract

The TravelTailor project presents an intelligent, AI-driven travel planning system designed to automate and personalize itinerary generation for travelers. Built using a FastAPI backend and an Angular frontend, the application integrates multiple technologies to provide a seamless end-to-end planning experience. Leveraging Google’s Gemini AI and a CrewAI multi-agent framework, the system analyzes user preferences and real-time travel data sourced through SerpAPI and Apify to recommend optimal flights, accommodations, and activities. The unified platform addresses major challenges in traditional travel planning, including information overload, inefficiency, and lack of personalization, by automatically producing a detailed, day-by-day itinerary tailored to each user. The backend’s modular architecture ensures efficient data retrieval, AI orchestration, and PDF-based report generation, while the Angular frontend offers a responsive and intuitive interface. Testing demonstrated significant improvements in planning efficiency, accuracy of personalization, and system reliability. The results confirm that generative AI combined with multi-agent coordination can effectively transform fragmented travel research into coherent, context-aware itineraries. Future enhancements will focus on enabling interactive itinerary editing, direct booking integration, and expanded AI capabilities through real-time data and user feedback loops. Overall, TravelTailor represents a significant advancement in intelligent tourism systems, offering a robust and scalable solution that redefines the travel planning experience through automation and personalization.