Citation

Lim, Zhi Sheng and Yulastri, Asmar and Ho, Sin Ban and Tan, Chuie Hong (2024) Enhancing Travel Planning Efficiency with a Comprehensive TripEase GenAI Mechanism. International Journal on Advanced Science, Engineering and Information Technology (IJASEIT), 14 (6). pp. 2090-2097. ISSN 2088-5334

Text Microsoft Word - Zhi-Sheng 200-AAP.pdf - Published Version Restricted to Repository staff only Download (1MB)

Abstract

This paper highlights the trip-easiness generative AI mechanism to simplify domestic and international travel planning through a comprehensive services range based on the users' locations, including itinerary management and car rental. This research focuses on building TripEase GenAI Mechanism with generative artificial intelligence (AI) for a fully-fledged AI-based trip planner web application. This mechanism would function independently in addition to the alternative of seamless integration with another platform, a car rental and travel planning system. This would enhance the overall user experience. Within our TripEase GenAI mechanism, users can effortlessly create personalized recommended itineraries after providing their essential trip details. This mechanism will generate a complete itinerary. The suggested itinerary would accompany a tailored packing list specific to the destination. We are leveraging cutting-edge tools such as LangChain, Semantic Kernel, and ChatGPT to achieve this objective. Our main aim is to revolutionize the travel planning experience by harnessing the power of AI technology. This research is envisioned to provide travelers with a seamless and personalized journey that caters to their individual preferences and needs. This paper outlines the design, evolution, and planning of the TripEase GenAI mechanism. We have laid a strong foundation for a user-friendly travel planning platform through meticulous documentation, thoughtful design, and iterative development. The ultimate goal is to enhance the overall travel planning experience by efficiently enriching imported services such as itinerary management and car rental modules.

Item Type:	Article
Uncontrolled Keywords:	Generative artificial intelligence; travel planning
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	13 Jan 2025 04:49
Last Modified:	13 Jan 2025 04:49
URII:	http://shdl.mmu.edu.my/id/eprint/13323

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