This paper presents a state-of-the-art GPS-based system, GeoWorkTrack, for employee monitoring and attendance management. The system automates attendance tracking, enhances workforce oversight, and promotes productivity through the use of real-time location data and geofencing technologies. During office hours, the system monitors employee locations, logs entry and exit times, calculates attendance percentages, and detects overtime events. Built using a robust technology stack that includes Spring Boot, Hibernate, Thymeleaf, and WebSocket, the system ensures seamless and real-time communication with minimal delays. Although effective, limitations such as GPS accuracy and battery consumption remain. This solution is versatile and applicable across multiple sectors, including corporate monitoring, field service management, and military applications.
The datasets generated for this study are available in the liveLocationWithSpringboot repository GitHub - Pankaj-Tile/liveLocationWithSpringboot. For further information, please contact pankajtilecomp@sitrc.org.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Sairaj Sonawane: Conceptualized and designed the system architecture. Pankaj Tile: Developed and implemented the geofencing and tracking algorithms. Abhishek Prajapati: Conducted testing, debugging, and report drafting. Hitesh Patil : Performance evaluation, Optimization.
This research received no external funding. All work was conducted as part of the curriculum requirements for the Department of Computer Engineering, Sandip Institute of Technology and Research Centre.
Springboot , Thymeleaf, websokets, mySql.
We would like to thank our mentor, Ashish Jagneet, for guidance and support throughout this project. We also extend our gratitude to the Sandip Institute of Technology and Research Centre for providing the resources and environment necessary for the development of this project.
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Doe, M., & Lee, K. (2022). Employee Management Systems and Automated Attendance Tracking2 . ACM Transactions on Workforce Management, 10(2), 89-105
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