FACEQR : A SMART ATTENDANCE FOR MODERN CLASSROOMS

Abstract

The rapid advancement of digital technologies has
transformed traditional educational systems,
necessitating efficient and automated solutions for
routine administrative tasks. Attendance
management remains a critical yet time-consuming
activity in academic institutions, often relying on
manual methods that are prone to errors,
inefficiencies, and proxy attendance issues (Smith,
2019). This project presents FaceQR: A Smart
Attendance System, which integrates QR code
technology with facial recognition to automate and
secure the attendance process. The proposed system
utilizes mobile and web applications to provide a
seamless and real-time attendance tracking solution
(Kumar, 2020). Administrators generate unique QR
codes for each session, which are scanned and
verified using facial recognition to ensure
authenticity (Patel, 2021). Faculty members can
efficiently record attendance through a web
interface, while students can access their
attendance records via a mobile application
(Sharma, 2018). The system minimizes manual
intervention, enhances accuracy, and ensures secure
data storage in a centralized database (Gupta,
2022). Furthermore, it reduces administrative
workload and improves transparency in attendance
monitoring (Reddy, 2020). The integration of QR
codes eliminates the need for costly hardware,
making the system scalable and cost-effective
(Singh, 2019). The implementation demonstrates
improved efficiency, reduced proxy attendance, and
enhanced user experience. Overall, FaceQR
contributes to the digital transformation of
educational institutions by providing a reliable,
secure, and user-friendly attendance management
system.