Smart Attend Insights
Abstract
SmartAttend Insights automates attendance tracking with the use of deep learning algorithms and cutting-edge face
detection technology. In addition to offering real-time information
and warning students when attendance drops below 75%, it also
promotes communication by texting parents and tutors about
absence lists. In order to meet attendance goals, students can
estimate the number of class days required, and reminders
help to guarantee that institutional policies are followed. In
order to create study groups that include a mix of students
from different academic backgrounds, deep learning algorithms
also evaluate academic performance. This promotes collaborative
learning environments. This ground-breaking solution improves
performance, accountability, and engagement for the benefit of
parents, teachers, students, and institutions.
Index Terms—Facial recognition technology, attendance tracking, deep learning, Automated attendance tracking, Student
engagement
Keywords:
deep learning, facial recognition, automated attendance
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Copyright (c) 2024 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
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