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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM23099
Volume:
7 |
6 |
Jun 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The Attendance Management System Project In Python is a fully functional desktop application developed in Python. These can be helpful articles and projects that you are looking for. This Attendance Management System In Python With MYSQL Database is one of the best system for schools, colleges that were having trouble keeping track of their teachers attendance. This Attendance Management System Using Python main purpose is to keep track of each person’s daily attendance, workhours, breaks, and the times they log in and log out. It stops employees from stealing time. A system for managing attendance works with smart cards, biometrics, and devices that recognize faces in real time. Attendance Management simply works by keeping track of how long your employees work. It’s the way you keep track of how much time your employees spend working and how much time they take off. This system helps alot with managing and storing real-time data and capturing real-time attendance. When it comes to time tracking, automated attendance systems have eradicated such concerns and are known for their reliability and accuracy. They capture and log data in real-time, which means your staff are less likely to tamper with the system. Modern systems even allow your employees to punch in early and late, and they are automatically notified. You may save a lot of time and effort keeping track of your employees if you use an automatic attendance tracking system. You can focus on your business and boost its production with the time you save. A paper-based method, as previously indicated, might lead to erroneous time reporting by your staff. However, this can be avoided by implementing a high-quality attendance monitoring system.
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Publication Date
9/5/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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