MRI
MRI India Journals Vol. 14 No. 1 (2025)

Smart Tourism Chatbot System: An AI-Driven Solution for Personalized Travel Assistance

Authors

  • Richard Callaway  Westbridge Institute of Technology
  • Samuel McGregor Grand Horizon University

DOI:

https://doi.org/10.65521/ijacect.v14i1.222

Keywords:

Smart Tourism Chatbot Natural Language Processing Lexical Analysis Mobile Application

Abstract

The tourism industry has undergone a revolutionary transformation with the integration of Artificial Intelligence (AI), Natural Language Processing (NLP), and cloud-based services. A chatbot-based smart tourism system enables travelers to access personalized, real-time information tailored to their current location and preferences. This paper presents a smart tourism chatbot service system and mobile application designed to assist tourists before and during their travel experience. By leveraging Kakao’s Khaiii morphological analyzer, TensorFlow CNN, and Neo4j graph databases, the system effectively interprets user intent and delivers relevant responses. The chatbot interacts via popular messaging platforms such as Facebook, Line, and WeChat. To improve context understanding, GPS data and weather APIs are integrated into the system. The chatbot service uses a combination of rule-based, probability-based, and AI-driven approaches to optimize its response accuracy. Additionally, the mobile app includes a user-friendly interface that supports multilingual capabilities and visual media. This smart tourism chatbot system contributes significantly to the evolving ecosystem of intelligent, accessible, and customized tourism services.

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Published

2025-04-17

How to Cite

Callaway , R., & McGregor , S. (2025). Smart Tourism Chatbot System: An AI-Driven Solution for Personalized Travel Assistance. International Journal on Advanced Computer Engineering and Communication Technology, 14(1), 125–129. https://doi.org/10.65521/ijacect.v14i1.222

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