International Peer-Reviewed JournalOpen AccessISSN 2456-8880
irejournals@gmail.com+91-7433024337

Home / Current Issue / Paper 1713036

1713036PublishedVol 9 · Issue 6

Virtual Queue Management System with Application to Admission Processes

Nabiya Muskan Adnaan Ahmed S. Nandi Kavya Shezadi Afnan

Subject area: Science,Engineering and Technology  ·  Area of research: Computer Science and Engineering

DOI: https://doi.org/10.64388/IREV9I6-1713036

Abstract

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.

Keywords

Virtual Queue Management, Admission Automation, Token System, Flask, Web Application, Real-Time Queue Tracking.

How to cite this paper

Nabiya Muskan, Adnaan Ahmed S., Nandi Kavya, Shezadi Afnan "Virtual Queue Management System with Application to Admission Processes" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 1686-1688 https://doi.org/10.64388/IREV9I6-1713036
Nabiya Muskan, Adnaan Ahmed S., Nandi Kavya, Shezadi Afnan "Virtual Queue Management System with Application to Admission Processes" Iconic Research And Engineering Journals, vol. 9, no. 6, Dec. 2025, doi: https://doi.org/10.64388/IREV9I6-1713036
Nabiya Muskan, Adnaan Ahmed S., Nandi Kavya, Shezadi Afnan (2025). Virtual Queue Management System with Application to Admission Processes. Iconic Research And Engineering Journals, 9(6). doi: https://doi.org/10.64388/IREV9I6-1713036
Nabiya Muskan, Adnaan Ahmed S., Nandi Kavya, Shezadi Afnan "Virtual Queue Management System with Application to Admission Processes" Iconic Research And Engineering Journals, vol. 9, no. 6, Dec. 2025. Crossref, https://doi.org/10.64388/IREV9I6-1713036
@article{1713036,
      author = {Nabiya Muskan, Adnaan Ahmed S., Nandi Kavya, Shezadi Afnan},
      title = {Virtual Queue Management System with Application to Admission Processes},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {6},
      pages = {1686-1688},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1713036.pdf},
      abstract = {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.},
      keywords = {Virtual Queue Management, Admission Automation, Token System, Flask, Web Application, Real-Time Queue Tracking.},
      month = {December},
      doi = {https://doi.org/10.64388/IREV9I6-1713036}
  }