AI-Assisted Classroom Monitoring System (project)
Developed AI-assisted classroom monitoring capabilities using computer vision pipelines. Implemented engagement tracking logic by performing facial and posture analysis to support automated alerts for absenteeism and low engagement. Worked with deep learning components and data processing steps necessary to operationalize the vision model outputs. • Designed vision-based monitoring workflow • Implemented facial and posture analysis for engagement signals • Generated alerts tied to absenteeism/low engagement criteria • Integrated Python-based CV/deep learning tools to support model outputs