Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{198171,
author = {Nikhil Chauhan and Chaudhary Jatin Akhilesh and Shrishti Srivastava and Ram Gopal Sharma and Shaily Sharma},
title = {An Intelligent AI and MERN Personalized Travel Planning System},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {11591-11595},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=198171},
abstract = {Planning travel can take time and be a burden to customers because the information needed to create an overall plan is spread over several platforms and thus leads to inefficiencies and the inability to provide a unique experience for each Traveler on a single application. The Travel Buddy is an intelligent travel planning solution that is based on an Artificial Intelligence (AI) technology. Travel Buddy has a number of features that will allow a user to create a personalized travel plan based on their personal preferences, budget and duration of travel. A user will also have the ability to estimate costs and utilize navigation features in real-time through a single platform; in addition, a user can use Travel Buddy to document and create a travel journal. Travel Buddy is significantly different than traditional travel planning solutions as it allows for a full end-to-end personalized and managed experience. A functional analysis of the Travel Buddy application demonstrated increased efficiency, improved Traveler satisfaction. The proposed concept demonstrates that AI-enabled solutions are positioned to transform the travel and tourism industries.[1],[2],[3]},
keywords = {Artificial Intelligence, Travel Planning, Recommendation Systems, MERN Stack, Cost Estimation, Tourism Technology},
month = {April},
}
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