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AI-Powered Travel Planner: Smart Trip Optimization

Author(s) Sakshi Dhote, Nidhi Gayakwad, Priya Buwade, Renuka Bedre, Dr. Pankaj Singh Sisodiya
Country India
Abstract The rapid advancements in technology have significantly transformed the travel industry, providing travellers with enhanced experiences and more efficient planning capabilities. However, the existing travel planning systems often fall short in delivering comprehensive and personalized itineraries that cater to the diverse needs and preferences of users. To address this gap, the proposed "AI-Powered Travel Planner" project aims to revolutionize the traditional approach to trip planning. By leveraging the power of artificial intelligence (AI) and natural language processing (NLP) techniques, this system generates optimized travel itineraries that consider crucial factors such as travelling duration, destination, weather information. This innovative approach ensures seamless exploration and memorable experiences for travellers The core objective of this project is to empower users with a user-friendly interface that seamlessly integrates their personal preferences, interests, and constraints to produce tailored travel plans. This paradigm shift in travel planning revolutionizes the traditional methods by employing advanced computational algorithms and data-driven insights to deliver personalized, efficient, and enjoyable travel experiences.
Keywords Travel Itinerary Planner, Artificial Intelligence, Travel Industry Transformation, Personalized Travel Itineraries, Optimized Travel Itineraries, Real-Time Data Integration, User-Friendly Interface, Personalization of Travel Plans
Published In Volume 6, Issue 3, March 2025
Published On 2025-03-27
Cite This AI-Powered Travel Planner: Smart Trip Optimization - Sakshi Dhote, Nidhi Gayakwad, Priya Buwade, Renuka Bedre, Dr. Pankaj Singh Sisodiya - IJLRP Volume 6, Issue 3, March 2025.
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