Facial Expression Recognition In Classrooms Using Deep Learning

• Author(s):

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

• Keywords:

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

• 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.

---

Other Details

• Paper id:

  IJSARTV12I7105757

• Published in:

  Volume: 12 Issue: 7 July 2026

• Publication Date:

  2026-07-07

Download Article