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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM47242

Chatbot Ticketing System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM47242

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM47242

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

APS

Ayush Pratap Singh

SJ

Samridhi Jaiswal

PP

Preety Pandey

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Abstract

– The Online Chatbot-Based Ticketing System aims to revolutionize the museum ticketing and visitor management process, making it more efficient, accessible, and user-friendly. Powered by advanced technologies like TensorFlow and large language models (LLMs), the chatbot enables human-like interactions that can handle visitor queries, provide dynamic pricing, and offer personalized recommendations based on past activities and preferences. The system incorporates QR-based ticketing for easy entry, real-time crowd updates through heatmaps to help manage visitor flow, and SMS-based booking options to ensure easy access for everyone. One of the key features of the system is smart itinerary planning, which helps visitors optimize their schedules, reduce overcrowding, and enhance their overall experience. It also offers multilingual capabilities and personalized content delivery, catering to a diverse range of users. From a technical perspective, the system uses robust backend frameworks like Firebase and Go, along with a Flutter-based frontend for smooth and efficient integration. The solution not only improves operational efficiency but also supports sustainability by reducing the need for printed materials, such as maps and guides. It ensures data security and ethical usage while providing economic benefits, such as reduced staffing costs, increased ticket sales, and enhanced revenue streams. This chatbot-based system has the potential to set a new benchmark in museum ticketing and cultural tourism.

KEYWORDS

Deep Learning Large language models(LLM) Convolutional Neural Network (CNN) Natural language Processing(NLP) Tensorflow

Cite This Article

Ayush Pratap Singh, Samridhi Jaiswal, Preety Pandey, "Chatbot Ticketing System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM47242

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Publication Date

8/4/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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