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 attendancePublished
Issue
Section
License
Copyright (c) 2024 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Ann Mary Babu, Anto K Thomas, Aswin Sebastian, Beffin K Lalu, Dr Jacob John, Assistive Technology For Deaf And Dumb , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Romal Raju, Sandra Madhu, TS Athulya, Rekha K S, Aparna Unni, Smart Meter using Blockchain , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Dr nitha C Vellayudan, Akshay K.P, Muhamed Adhil P.M, C.A Sivasankar , Crop Yield and Price Prediction , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Muhammed Saalim O.S, Fathima Parvin M.A, Albiya Hameed, Hiba Fathima T.S, Amritha Soloman, AGRISEN Precise irrigation System and Smart health monitoring system , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Ankith Issac Dominic, Meera Johnson, Jaida Fathima, Alaina Benny, Amritha Soloman, PARK-EZE: An IoT based Smart Parking System using DLSTM Prediction , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Anu Rose Joy, An overview of Fake News DetectionusingBidirectional Long Short-TermMemory(BiLSTM)Models , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Krishnendu B, Sreelakshmi A, Sumayya Maheen, Zameel Hassan, Honey Joseph, Chatbot-Enabled Symptom Assessment: Revolutionizing Disease Diagnosis and Patient Care , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Naveen Philip Abraham, Joppen George, Kevin Sajan, Jonathan Chandy, Jonathan Chandy, Bini M. Issac, Advancements in Assistive Technologies: Enhancing Independence and Accessibility for the Visually Impaired , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Anishamol Abraham, Niya Joseph, State-of-the-Art Techniques for Image Forgery Detection: A Review , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Dr. S. Perumal Sankar, P K Renjith, Ahammed Suhail P.I, Aswathy P S, Nithya Mary K J , Sharon K J, iAssist – An Intelligent Reading Assistant for Visually Impaired , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.