Realtime Attentiveness Estimation (Ongoing) — YOLOv8 Pose video analytics project.
You built a computer vision classroom engagement assessment application using a YOLOv8 Pose deep learning model for video-based analysis. The project involved preparing and working with pose/object detection outputs to estimate engagement levels from classroom video. You gained exposure to deep learning workflows specifically for video analytics tasks. • Used YOLOv8 Pose for pose-related computer vision inference. • Focused on video analytics for classroom engagement estimation. • Worked with deep learning model outputs for downstream engagement rating/estimation. • Applied deep learning concepts to an ongoing project context.