AI-Integrated Automation Portal for Attendance and Marks Entry

Abstract: In modern educational institutions, managing attendance and marks manually is a time-consuming and error-prone process. Teachers are required to record attendance daily and enter studentmarks across multiple systems, which increasesworkload and the likelihood of mistakes. Thistraditional approach also makes it difficult togenerate accurate reports or track studentperformance efficiently.The AI-Integrated Automation Portal forAttendance and Marks Entry addresses thesechallenges by leveraging Artificial Intelligence (AI)and Optical Character Recognition (OCR)technologies. The system automates attendancemarking using facial recognition, allowing teachersto capture classroom attendance in real-time withoutmanual intervention. Simultaneously, the systemextracts student marks from handwritten sheetsusing OCR, directly updating the database andgenerating digital records. This dual automationreduces human effort, minimizes errors, andsignificantly improves administrative efficiency.In addition to automating routine tasks, the systemenhances transparency and accountability withinacademic institutions. Students can view theirattendance records in real-time, while teachers cangenerate reports instantly without manualcalculations. The integration of AI and OCR ensuresaccurate data capture even from handwrittendocuments, eliminating discrepancies caused bymanual entry. Furthermore, the system is designedto be scalable and secure, enabling institutions tomanage multiple departments and large studentpopulations efficiently. By combining automation,accuracy, and accessibility, this system modernizesacademic administration and provides a robustfoundation for digital learning environments.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-12
DOI
https://doi.org/10.5281/zenodo.18220937
Primary Topic
Smart Systems and Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Integrated Automation Portal for Attendance and Marks Entry

7. AI-Integrated Automation Portal for Attendance and Marks Entry P. Sai Moorthy, V. Saravanan, R. Shri Sabarisastha, Mr. J. John Livingston
Zenodo (CERN European Organization for Nuclear Research)
Smart Systems and Machine Learning
article

AI-Integrated Automation Portal for Attendance and Marks Entry

7. AI-Integrated Automation Portal for Attendance and Marks Entry P. Sai Moorthy, V. Saravanan, R. Shri Sabarisastha, Mr. J. John Livingston
article en

Abstract

Abstract: In modern educational institutions, managing attendance and marks manually is a time-consuming and error-prone process. Teachers are required to record attendance daily and enter studentmarks across multiple systems, which increasesworkload and the likelihood of mistakes. Thistraditional approach also makes it difficult togenerate accurate reports or track studentperformance efficiently.The AI-Integrated Automation Portal forAttendance and Marks Entry addresses thesechallenges by leveraging Artificial Intelligence (AI)and Optical Character Recognition (OCR)technologies. The system automates attendancemarking using facial recognition, allowing teachersto capture classroom attendance in real-time withoutmanual intervention. Simultaneously, the systemextracts student marks from handwritten sheetsusing OCR, directly updating the database andgenerating digital records. This dual automationreduces human effort, minimizes errors, andsignificantly improves administrative efficiency.In addition to automating routine tasks, the systemenhances transparency and accountability withinacademic institutions. Students can view theirattendance records in real-time, while teachers cangenerate reports instantly without manualcalculations. The integration of AI and OCR ensuresaccurate data capture even from handwrittendocuments, eliminating discrepancies caused bymanual entry. Furthermore, the system is designedto be scalable and secure, enabling institutions tomanage multiple departments and large studentpopulations efficiently. By combining automation,accuracy, and accessibility, this system modernizesacademic administration and provides a robustfoundation for digital learning environments.

Zenodo (CERN European Organization for Nuclear Research)
Madurai Kamaraj University (IN)
Quality Education
Openalex Percentile: Top 92%
Smart Systems and Machine Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI-Integrated Automation Portal for Attendance and Marks Entry — 7. AI-Integrated Automation Portal for Attendance and Marks Entry P. Sai Moorthy, V. Saravanan, R. Shri Sabarisastha, Mr. J. John Livingston · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS