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A comprehensive framework for detecting student engagement using per-frame features extracted by OpenFace (Action Units, head pose, gaze, blink metrics) and MediaPipe (facial point landmarks) with both classical ML (XGBoost, SVM, RF etc.) and deep-learning models (ResNet, EfficientNet, etc.).