BUJANGARI NIKHIL REDDY, Dr. PURNA CHANDAR RAO 03 07 Travel planning has become increasingly complex due to the large amount of information available about destinations transportation accommodation and tourist attractions Selecting suitable travel options that match individual preferences often requires significant time and effort To address this challenge this paper presents a Smart Destination and Itinerary Planning Platform an intelligent webbased application that generates personalized travel itineraries using artificial intelligence techniques The proposed system allows users to provide travel details such as source location destination budget and personal preferences related to weather food and transportation Based on these inputs the platform generates customized travel plans using deep learning models and improves recommendation accuracy through a RetrievalAugmented Generation RAG approach The selected itinerary is further enhanced by automatically retrieving relevant destination images using web scraping techniques providing users with a more informative and engaging travel experience The application also includes secure user registration authentication and efficient data management to ensure a smooth user experience Experimental evaluation demonstrates that the platform produces practical and personalized travel recommendations while significantly reducing the effort required for trip planning Overall the proposed system offers an intelligent efficient and userfriendly solution for modern travel planning by combining AIbased itinerary generation retrieval techniques and visual information within a single platform Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026