Ticket It: A Highly Advance Ticket Booker

A unique smart ticketing solution is presented in this paper with the goal of improving user experience and efficiency, especially in the context of heritage sites. This project introduces the Augmented Reality Ticketing Optimization (ARTO) algorithm for intelligent prioritization and dynamic segmentation in adaptive queuing, addressing issues with current systems like ineffective queuing and underutilized predictive analytics. In order to guarantee scalability and real-time updates, the suggested system makes use of a microservices architecture, combining Redis for caching, Kafka for queuing, and Kubernetes for orchestration. Predictive models are also included for proactive resource scaling and demand forecasting. As a possible UI improvement, a novel approach to hand gesture recognition is also presented, which uses background subtraction for finger segmentation and hand region detection.The methodology involves identifying inefficiencies, system design, implementation using Node.js, Express.js, React.js, and Socket.io, and validation through simulations and pilot testing. The expected outcomes include more efficient, fair, and transparent ticketing processes with improved scalability. Future work will focus on expanding the hand gesture recognition capsabilities to accommodate a wider range of users.