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A Chatbot-Based Strategy for Regional Language-Based Train Ticket Ordering Using a novel ANN Model
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Author(s): Kiruthika V (Vellore Institute of Technology, Chennai, India), Sheena Christabel Pravin (Vellore Institute of Technology, Chennai, India), Rohith G (Vellore Institute of Technology, Chennai, India), Aswin B. (Vellore Institute of Technology, Chennai, India), Ompirakash S (Vellore Institute of Technology, Chennai, India)and Danush Ram R (Vellore Institute of Technology, Chennai, India)
Copyright: 2023
Pages: 17
Source title:
Scalable and Distributed Machine Learning and Deep Learning Patterns
Source Author(s)/Editor(s): J. Joshua Thomas (UOW Malaysia KDU Penang University College, Malaysia), S. Harini (Vellore Institute of Technology, India)and V. Pattabiraman (Vellore Institute of Technology, India)
DOI: 10.4018/978-1-6684-9804-0.ch010
Purchase
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Abstract
Chatbots are becoming increasingly crucial in modern society. Typically, a large group of individuals will purchase train tickets together. This requires considerable effort and time. Multiple inquiries from a user are part of the booking procedure. In this research, the authors create an intelligent, user-friendly chatbot for booking train tickets in the native language. In this study, a Tamil-speaking chatbot is developed to assist with train ticket purchases. The authors employed NLP techniques to create an effective and user-friendly conversational interface. The above poll indicates that chatbots have been used in a variety of contexts with positive results. This method will make purchasing tickets much less of a burden for residents of remote areas, who will appreciate it. The ANN model is used to train the chatbot to discern the consumer's desires and respond accordingly. The proposed method has a success rate of 85% and will benefit consumers by expediting and simplifying ticket transactions.
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