Smart Attendance: An Automated Attendance Management System Using Machine Learning Techniques

نویسندگان

چکیده

The Smart Attendance system is a machine learning-based that aims to improve the management and tracking of student attendance. It can be utilized in educational institutions keep track their students' uses radio frequency identification tags record information real time, which helps provide updated accurate records. learning techniques analyze data collected by it identify trends patterns This method then used individuals who are habitually late or have high absenteeism rates. help educators implement effective measures performance various algorithms was evaluated this study. four were randomly forest, decision tree, SVM, naive bayes. They tested against conditions such as students frequently skip certain classes, habitual latecomers, with results study revealed SVM random forest performed well had highest accuracy These findings show these behavior boost has demonstrated potential artificial intelligence attendance institutions. Through use RFID tags, up-to date records, insights into students. reduce outcomes.

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ژورنال

عنوان ژورنال: The Philippine statistician (Quezon City)

سال: 2021

ISSN: ['2094-0343']

DOI: https://doi.org/10.17762/msea.v70i2.2320