QTrack: Smart Queue Management

Authors

  • Tokala Sreeja, Akepogu Slycee Leyona ,.Velamakanni Saranya b. Tech Students, Department Of Cse, Bhoj Reddy Engineering College For Women, India Author
  • B.Pravalika Associate Professor, Department of CSE, Bhoj Reddy Engineering College for Women, Hyderabad, Telangana, India. Author

Abstract

In today’s fast-paced world, long and unorganized queues are a common source of frustration for users and inefficiency for service providers. Traditional queue management systems rely heavily on manual processes such as token distribution and verbal announcements, which often result in prolonged waiting times, lack of transparency, and increased chances of mismanagement. These issues are especially prevalent in high-demand environments such as hospitals, banks, educational institutions, and government service centers, where large volumes of users must be served efficiently and fairly.
To address these challenges, this project introduces QTrack, a web-based smart queue management system designed to automate and digitize the queuing process. Q Track allows users to register for a queue online from their mobile devices or computers and track their real-time position in the queue. The system leverages modern web technologies and real-time communication protocols to send automated notifications to users when their turn is near, eliminating the need for them to remain physically present in the waiting area. This not only improves the user experience but also reduces crowding and enhances operational efficiency.
The implementation of QTrack results in significant advantages including reduced waiting times, better resource management, improved service speed, and higher customer satisfaction. It ensures fairness in the queuing process by preventing queue manipulation and providing equal service opportunities to all users. The system is scalable and adaptable, making it suitable for deployment across various sectors with high footfall and demand for systematic service delivery.
Through QTrack, this project aims to demonstrate how digital transformation can modernize everyday processes, minimize human error, and provide a structured, efficient, and user-friendly solution for queue management.

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Published

2025-04-29

Issue

Section

Articles

How to Cite

QTrack: Smart Queue Management. (2025). International Journal of Engineering and Science Research, 15(2s), 1378-1385. https://www.ijesr.org/index.php/ijesr/article/view/526