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
Published
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
- Dr. Indu John, Gauri Santhosh, Jesna Susan Reji, Abdul Musawir, Glady Prince, Detection of Autism Spectrum Disorder in Toddlers using Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Nevin Thankachan, Ameen C H, S Sidhardh, A Literature Review On Machine Learning-Based Phishing Detection Systems , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Karthik Vinod, Lakshmy Suresh K, Jeffin Jacob Kurian, K V Manuvardhan, Jacob John, A Survey For Real-Time Energy Monitoring and Management Using IoT and Machine Learning , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Joel Gijo, Bibin Kunnathettu Biju, K Ryan George, Bipin Dev B, Anju J Prakash, Machine Learning and Medical Authority Engagement for Antimicrobial Resistance Management: A Review of Surveillance, Prediction, and Stewardship , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Goutham P Raj, Gregan George, Hadii Hasan, John Ashwin Delmon, V Pradeeba, COMPREHENSIVE VEHICLE SERVICES & E-COMMERCE PLATFORM WITH PRICE PREDICTION USING ML , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Tom Kurian, Ektha P S, Chethana Raj T, Diona Joseph, Annu Mary Abraham, Intelligent Disease Prediction in Hydroponic Systems Using Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Ethen Biju, Chris Mathew, Alina Ann Joseph, Diya Kalyan, Ria Mathews, DaceStudio: AI-Driven Code Editing for Next-Gen Software Development , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Albin Thomas Lalu, Resmara S, Alen A Thankachen, Sneha Priya Sebastian, Dany Jennez , Lirin Blesson, Kesia Sunny, Fault Detection of Transmission Lines Using Unmanned Aerial Vehicle (UAV) , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Jo Saji, Naveen Ajesh, Parvathi K B, Sarya Sajeev, Syamamol T, BillEase: A Hybrid Weight and Vision Based Real-Time Automated Checkout System , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Amarnath C, Adarsh P Kurian, Fabeela Ali Rawther, Adarsh K Sundaresan, Adarsh Suresh, INTELLI TRAFFIC MANAGEMENT SYSTEM , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
You may also start an advanced similarity search for this article.