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Drowsy driving is a significant yet often overlooked cause of road accidents, leading to severe injuries, fatalities, and substantial economic losses worldwide. Research indicates that fatigue impairs reaction time, decision-making ability, and overall alertness, making it as dangerous as driving under the influence of alcohol. Traditional methods, such as self-assessment or periodic stops, are ineffective as drivers may not accurately recognize their level of fatigue. Therefore, there is a critical need for an intelligent, real-time system capable of detecting drowsiness and preventing accidents before they occur. Drowzy Alert is an AI-powered driver fatigue detection system designed to address this issue using advanced computer vision and machine learning techniques. The system continuously monitors the driver's face using a camera and analyzes key indicators of drowsiness, such as eye blinking rate, head posture, yawning frequency, and facial expressions. By leveraging deep learning models, Drowzy Alert can accurately detect early signs of fatigue and provide immediate alerts through sound alarms, seat vibrations, or dashboard notifications to prompt the driver to take necessary precautions. The system integrates with vehicles through IoT-based connectivity, allowing for automated responses such as adjusting cabin lighting, playing alert sounds, or even slowing down the vehicle if necessary. Unlike existing solutions that require expensive hardware or invasive wearables, Drowzy Alert offers a cost-effective and scalable approach by utilizing standard cameras and efficient AI algorithms. By implementing Drowzy Alert, we aim to significantly reduce the number of fatiguerelated road accidents, enhance transportation safety, and create a smarter driving experience. This AI-driven solution has applications in personal vehicles, commercial trucking, and public transportation, ensuring a safer road environment for everyone.