TRAVEL TAILOR – AI-POWERED TRAVEL PLANNING SYSTEM

The rapid expansion of online travel services presents significant challenges for travelers due to fragmented information, limited personalization, and time-consuming manual planning processes.This paper proposes Travel Tailor, a comprehensive AI-driven framework for personalized travel planning that automatically generates optimized travel itineraries based on user preferences such as destination, budget, travel duration, and interests.The methodology integrates multiple advanced technologies including real-time data retrieval, generative artificial intelligence, multi-agent coordination, intelligent recommendation models, and automated itinerary structuring with downloadable reports.The proposed system addresses the limitations of traditional travel planning platforms by incorporating context-aware reasoning, budget optimization, and dynamic itinerary generation.Experimental evaluation demonstrates improved personalization accuracy, recommendation reliability, and system response efficiency across various travel scenarios.