A deep learning–based system for detecting employee drowsiness during virtual meetings using facial cues like yawning and eye closure. Built with ResNet50V2 and fine-tuned on diverse, augmented datasets to improve generalization. Designed to enhance remote workplace engagement with potential for future real-time attention tracking.
computer-vision deep-learning reactjs tensorflow scikit-learn video-processing transfer-learning image-augmentation fine-tuning
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Updated
Apr 10, 2025 - CSS