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Attendance Management System Using Face Recognition Model

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dc.contributor.author Hassan, Mehedi
dc.date.accessioned 2026-04-16T06:16:20Z
dc.date.available 2026-04-16T06:16:20Z
dc.date.issued 2025-05-14
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/16870
dc.description Project Report en_US
dc.description.abstract In academical institutions, teachers are dependent on laborious, prone to mistakes, and easily misused methods, like fingerprint scanners or roll calls, to track attendance. This project offers a more suitable solution: a WEB-based facial recognition school management system. This technology takes students face data by a web cam or other camera connected to the system, checks them to match with the registered image, and automatically marks their attendance to provide a seamless and easy attendance system. This platform is so user-friendly as React and Django is used in frontend and backend. The features for the teachers are to select their assigned courses, to take attendance and of course to log in safely using JWT authentication. Each attendance record is linked with individual courses, so, the chance of duplication and proxy attendance is reduced. The system also provides the facility for downloadable attendance excel file and also have chances to make improvement like using as a mobile application and attendance-based research and monitoring en_US
dc.description.sponsorship Daffodil International University en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Attendance Management en_US
dc.subject Recognition Model en_US
dc.subject Facial Recognition System en_US
dc.subject Automated Attendance en_US
dc.subject Biometric Authentication en_US
dc.subject Deep Learning en_US
dc.title Attendance Management System Using Face Recognition Model en_US
dc.type Other en_US


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