GRENZE International Journal of Engineering and Technology
Vol. 12
(2026), Issue 2
AI-Powered Travel Planner with Preference-based Suggestions, NLP Recommendations, user Chat, and OTP-Verified Access
Authors
E. Rushit Gnanaroy, Mohammed Thareef R, P. Sherly Kanaga Priya, Thanga Helina S, C. Pethuru Raj
Abstract
ExploreEase is an AI driven travel planner designed to provide users with personalized travel recommendations, which can include hotels, food and activities to do. This is made possible through the use of AI, Natural Language Processing (through an NLP driven chat interface) and Machine Learning Technologies. Furthermore, the use of OTP for user privacy will add an additional level of security for the user. All components were developed on a platform style basis; frontend developed using React, backend developed in Node (Data stored in MongoDB) and Machine Learning logic developed in Python. From the results of the experiments that measured the accuracy of the recommendations, speed of the response time and user satisfaction, all measured elements improved significantly over baseline models. Additionally, all of the proposed features result in the creation of an overall intelligent travel planner providing a more complete solution for today's travel market.
Pages:
6231 - 6238