A Comprehensive Survey Exploring Travel Assistance Through Chatbot Technology

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Authors: Saravanan Chandrasekaran, C. Sunhieshka, Nityasree Pa, G. Prashanth, M. Rehena Sulthana, M. Shagar Banu
Cited by: 1
References: 23

Abstract

This project introduces a travel assistance chatbot designed to address the evolving needs of the tourism sector by providing instant and accurate responses to travel-related inquiries. Leveraging Natural Language Processing (NLP) and Machine Learning (ML) techniques, the chatbot is built in Python and is designed to personalise interactions, streamline information delivery, and enhance overall customer engagement. The chatbot enhances operational efficiency by automating responses and addressing frequently asked questions, enabling travel providers to concentrate on more complex customer service issues. While Artificial Intelligence (AI) methodologies were not employed, this project effectively demonstrates how NLP and ML can serve as impactful tools in personalising travel experiences, supporting sustainable tourism, and potentially reducing resource demands in customer service.

Fields of Study & Subjects

AI in Service Interactions Digital Marketing and Social Media Forecasting Techniques and Applications

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
247–268
Publication date
16 April 2026
Document type
Book chapter