TRAVEL TICKET BOOKING SYSTEM
Marimuthu K1
Department of Computer Science and Engineering Presidence University
Bangalore, Karnataka, India marimuthu.k@presidencyuniversity.in
Dabbara Asritha2
Department of Computer Science and Engineering (Data Science)
Presidence University Bangalore, Karnataka, India dabbaraasritha7@gmail.com
Jayashree R2
Department of Computer Science and Engineering (Data Science)
Presidence University Bangalore, Karnataka, India jayajayashree78@gmail.com
Lavanya M H2
Department of Computer Science and Engineering (Data Science)
Presidence University Bangalore, Karnataka, India lavanyamh23@gmail.com
Sindhu M2
Department of Computer Science and Engineering (Data Science)
Presidence University Bangalore, Karnataka, India sm1682021@gmail.com
Abstract—The Travel Ticket Booking System is an intelligent assistant designed to automate and manage travel service provision through a conversational interface. The system built to work smoothly on Telegram platform seeks to facilitate the approach of booking travel tickets and managing interactions with users in a responsive and efficient way. It solves the intricacies of the existing ticketing platforms by offering a combined, available, convenient, and easy to use solution that can be employed anywhere with connectivity to the internet. This system is planned to cater for such important functionalities as planning trips, booking tickets and supplying users with timely alerts and notifications. Apart from that, it helps in system level diagnostics, travel status, and integration of auxiliary modules for good service delivery. They have tested the platform both in different test environments and operational scenarios to prove its ability to manage concurrent queries, sustain the system’s uptime, and return results quickly. The architecture of the Travel Ticket Booking System focuses on modularity, scalability, and adaptability making it a future proof solution for smart mobility, convenient way for navigation and personalized travel management. It does not only meet the short term needs of travel ticket bookings but also offers a foundation for potential future technologies such as intelligent routing, on the spot analytics and predictive trip planning. The light-weight deployment framework of the system also enables it to be implemented in both individual and in enterprise over minimal consumption of IT resources.
Index Terms—Keywords: Architecture, Diagnostics, Integra- tion, Modularity, Predictive, Routing, Scalability, Uptime, De- ployment, Automation.