Virtual Queue Management System with Application to Admission Processes

In many educational institutions and public service organizations, admission and service processes are still managed using physical queues and manual token systems. These traditional methods often lead to overcrowding, long waiting times, lack of transparency, and inefficient utilization of staff resources. This paper presents a Virtual Queue Management System (VQMS) designed to digitize and automate the queue handling process. The proposed system allows users to register remotely, generate queue tokens, track their real-time queue position, and receive notifications regarding their service turn. Administrators are provided with a centralized dashboard to monitor queue flow, manage priorities, and analyze performance statistics. The system is implemented using Python with Flask framework for backend processing, HTML, CSS, and JavaScript for frontend interfaces, and MySQL for data storage. Experimental evaluation shows that the system significantly reduces waiting time, minimizes manual intervention, improves transparency, and enhances overall operational efficiency. The proposed solution is scalable and can be adapted for use in educational admissions, hospitals, banks, and other service-based institutions.