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Volume 12, Issue 7 (July 2026)

Facial Expression Recognition In Classrooms Using Deep Learning

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7.883
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Volume 12 Issue 08

August 2026

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Author(s)

Dhanyaa J Karthika.K Dr.Balasubramanie P Shanmugapriya P Ramya T E

Abstract

This Project Builds A System That Checks Student Attention In Real Time. It Uses A Camera Feed To Detect Faces, Track Eyes, And Read Basic Emotions. The System Works With A Single Student Or Many Students At The Same Time. It Also Supports Different Platforms Like Webcam, Video Files, Zoom, Google Meet, And Microsoft Teams. Each Frame Is Processed To Find Faces, Detect Eyes, And Estimate Emotions. These Results Are Used To Calculate Attention Levels And Engagement Scores. The System Can Show Alerts, Track Trends, And Create Simple Reports. All Processing Happens On The User’s Machine, So No Data Is Sent Outside. The Goal Is To Help Teachers Understand When Students Are Focused And When They Are Not.

Keywords

Student Attention Face Detection Eye Tracking Emotion Recognition Engagement Scoring Real-time Monitoring Multi-participant Analysis Computer Vision Deep Learning Classroom Analytics

Paper ID

IJSARTV12I7105757

Publication Date

July 7, 2026

Research Area

Computer Science And Engineering (CSE)

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