QR Code-Based Ticketing System for Heritage Sites

Abstract

This research presents a modern QR-based ticketing system for heritage sites, designed to streamline operations and enhance visitor experiences. By integrating machine learning, the system predicts visitor numbers, enabling efficient resource management and improved operational planning. The proposed solution automates ticket booking, validation, and entry using secure QR codes, effectively reducing long queues and eliminating the environmental impact of paper tickets. Additionally, predictive analytics provide heritage site administrators with valuable insights into crowd patterns, facilitating better decision-making. This paper explores the system's architecture, predictive model, experimental results, and its broader implications for cultural heritage management.