Personalized Travel Planner using Large Language Models : A Generative AI Approach

Authors

  • Dr. Amit K. Nerurkar
  • Dr. Monica G. Tolani
  • Yash Khot
  • Prathamesh Kulkarni
  • Sameep Patrakar

Keywords:

Travel Management System, Generative AI, Personalized itinerary generation, Large Language Models, Vector Databases, Prompt Engineering

Abstract

This paper introduces a personalized travel planning system leveraging the power of Generative Artificial Intelligence and Large Language Models. The system is designed to help prospective travel planners plan their travel with respect to the type of tour they want to endeavor like family, honeymoon, or friends for their desired destinations. The system uses real-time data fetched from various social media platforms and travel booking websites and generates a customized itinerary as per the users’ requirements. The system offers dynamic recommendations based on user-defined criteria like their budget, number of days, and type of activities they want to experience. The system also utilizes the power of social media by analyzing location reviews and offering recommendations for the selected locations. This helps users cut down their planning time and plan their trips with just a few clicks.

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Published

2025-05-30

How to Cite

Dr. Amit K. Nerurkar, Dr. Monica G. Tolani, Yash Khot, Prathamesh Kulkarni, & Sameep Patrakar. (2025). Personalized Travel Planner using Large Language Models : A Generative AI Approach. Utilitas Mathematica, 122(Special Issue-1), 458–462. Retrieved from https://utilitasmathematica.com/index.php/Index/article/view/2253

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