IDEAS home Printed from https://ideas.repec.org/a/etm/ijsrst/v13y2026i2id1557.html

BiometricCloud: A Role-Based Biometric Attendance and Blocks Management System

Author

Listed:
  • Sunil Kumar
  • Nikhil Tomar
  • Ayush Sharma
  • Hritik Kumar
  • Payal Goel

Abstract

In modern educational institutions, hostel management plays a critical role in ensuring student safety, discipline, and administrative efficiency. Traditional hostel management systems are largely manual or semi-digital, leading to inefficiencies such as inaccurate attendance tracking, delayed communication, and lack of real-time monitoring. This research paper presents BiometricCloud, a full-stack, web-based blocks management system integrated with biometric attendance functionality. The system leverages modern technologies including React, Node.js, Express.js, and Microsoft SQL Server to provide a scalable, secure, and efficient solution. It introduces role-based access control, real-time attendance tracking, device management, and automated leave processing. The study discusses system architecture, design methodology, implementation, testing, and performance evaluation. The results demonstrate that the proposed system significantly improves accuracy, reduces manual effort, enhances security, and provides real-time insights for hostel administrators. Future enhancements include AI-based analytics and mobile application integration.

Suggested Citation

  • Sunil Kumar & Nikhil Tomar & Ayush Sharma & Hritik Kumar & Payal Goel, 2026. "BiometricCloud: A Role-Based Biometric Attendance and Blocks Management System," International Journal of Scientific Research in Science and Technology, Technoscience Academy, vol. 13(2), pages 1056-1060, April.
    • Handle: RePEc:etm:ijsrst:v13:y2026:i2:id:1557
    DOI: 10.32628/IJSRST2613399
    as

    Download full text from publisher

    File URL: https://ijsrst.com/home/article/view/IJSRST2613399
    File Function: Abstract page
    Download Restriction: no
    File URL: https://ijsrst.com/home/article/download/IJSRST2613399/IJSRST2613399
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/IJSRST2613399?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:etm:ijsrst:v13:y2026:i2:id:1557. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (email available below). General contact details of provider: https://ijsrst.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.