Face Recognition-Based Attendance System Using Group Photos

This project introduces a Python Flask-based. Web application aimed at simplifying student attendance tracking. The system leverages image processing techniques to analyze uploaded group photos and automatically identify students marked as present. It offers a secure admin login, allowing administrators to easily upload attendance images. Additionally, at the end of each month, the platform provides a one-click feature that uses the Yagmail library to send notification emails to students whose attendance drops below 50%, promoting timely awareness and action. By combining Flask’s web framework with automated image analysis, this solution delivers an intuitive and efficient tool for managing attendance, reducing manual workload, and supporting better student engagement.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-09
DOI
https://doi.org/10.22214/ijraset.2025.70486
Citations
1
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
1.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Face Recognition-Based Attendance System Using Group Photos

Mahendra Mistari
1 citations
International Journal for Research in Applied Science and Engineering Technology
Face recognition and analysis
1.28
article

Face Recognition-Based Attendance System Using Group Photos

Mahendra Mistari
article en
1 citations

Abstract

This project introduces a Python Flask-based. Web application aimed at simplifying student attendance tracking. The system leverages image processing techniques to analyze uploaded group photos and automatically identify students marked as present. It offers a secure admin login, allowing administrators to easily upload attendance images. Additionally, at the end of each month, the platform provides a one-click feature that uses the Yagmail library to send notification emails to students whose attendance drops below 50%, promoting timely awareness and action. By combining Flask’s web framework with automated image analysis, this solution delivers an intuitive and efficient tool for managing attendance, reducing manual workload, and supporting better student engagement.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 21%
Face recognition and analysis
1.28
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.

Face Recognition-Based Attendance System Using Group Photos — Mahendra Mistari · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS