Let's Go! - AI Travel Planner

Authors

  • Panicker Aditya Gopinath Author
  • Amann V Prakash Author
  • Sudev V Sudhakaran Author
  • Deekshit E Das Author
  • Shejina N M Author

Keywords:

AI travel, machine learning, trip planning, personalization, real time data

Abstract

 An AI-powered travel planning application has been developed to simplify and enhance the process of organizing personalized trips. Utilizing machine learning algorithms and extensive datasets, the application curates tailored itineraries based on user preferences such as budget, travel dates, destination, and group size. By integrating with real-time flight and accommodation databases, it ensures users receive the most relevant and up-to-date travel options. The AI continuously refines recommendations by analyzing user behavior and historical travel data, improving the accuracy and personalization of itineraries over time. Additionally, the app features seamless integration with geolocation services and third-party APIs, allowing users to book flights, hotels, and activities directly within the platform. This advanced approach not only streamlines trip planning but also adapts to the evolving needs of modern travelers, providing a convenient and intelligent solution for both occasional and frequent travelers alike.

Downloads

Published

2025-04-03

How to Cite

Let’s Go! - AI Travel Planner. (2025). IES International Journal of Multidisciplinary Engineering Research, 1(2), 85-94. https://www.iescepublication.com/index.php/iesijmer/article/view/38

Similar Articles

11-20 of 40

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)