A Comprehensive Survey Exploring Travel Assistance Through Chatbot Technology
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