• Swayam Babasaheb Khot
• Saad Sameer Mujawar
• Atharv Amar Khade
• Aparna Tanmay Kulkarni
• Sahil Ajmuddin Mujawar

Nowadays, accidents occur during dangers road trips and it increase day by day. Most of the cases accidents done by drivers’ drowsiness. this research is to identify the drowsiness. The State of the driver is taken under real driving conditions. The aim of driver drowsiness detection systems is to reduce these drowsiness accidents. The secondary data collected focuses on previous research on systems for detecting drowsiness and several methods have been used to detect drowsiness or inattentive driving. Our aim is to provide an interface where the program can automatically detect the driver's drowsiness and alert/ buzzer of any sound to weak up the driver. It detects position of the driver by using live web camera and examine the condition of the driver and active the buzzer activity. This project that helps prevent accidents caused by the driver's sleep. When the driver is sleepy, it plays the buzzer alarm and increases the buzzer sound. If the driver doesn't wake up, they'll send a text message to the Highway helpline number and police station also. Hence, this utility goes beyond the problem of detecting drowsiness while driving. Eye extraction, face extraction.

Eye Detection, Facial Detection, Drowsiness, Machine Learning, Python, Face Detection.

"Driver Drowsiness Alert System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.d270-d273, March-2025, Available :http://www.jetir.org/papers/JETIR2503328.pdf

"Driver Drowsiness Alert System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppd270-d273, March-2025, Available at : http://www.jetir.org/papers/JETIR2503328.pdf