DrowsinessGuard: A real-time drowsiness detection system that enhances driver safety using computer vision and facial landmark analysis. Features precise eye tracking, face direction monitoring, and yawn detection to alert drivers of fatigue, helping prevent accidents caused by drowsy driving.

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Developed an advanced neural network for real-time driving drowsiness detection. Leveraging eye tracking, the model accurately predicts eye state (open/closed) and employs intelligent thresholding to identify drowsiness. Enhancing road safety by alerting drivers, ensuring vigilance during long journeys.