The human face conveys a wealth of information and serves as a critical focal point in various applications, including driver safety. In the daily lives of drivers, they encounter numerous challenges, particularly when working overtime or night shifts. Continuous driving for extended periods, both day and night, leads to significant tiredness and fatigue. Fatigue and drowsiness are common problems among drivers due to prolonged periods of continuous driving. Addressing this issue is crucial to improving road safety and reducing the incidence of fatigue-related accidents. While these issues might appear minor, they can result in major and often fatal accidents. Each year, the number of accidents attributed to driver drowsiness and fatigue continues to rise, causing substantial loss of life, infrastructure damage, and economic costs. This paper presents the design and development of a driver drowsiness detection module aimed at mitigating these risks. The proposed system focuses on monitoring the driver’s eyes to determine their state of alertness. On detecting drowsiness, the system provides an audible alarm or visual indicators on the vehicle dashboard to inform and warn the driver or provide haptic feedback via steering wheel or seat vibrations. An immediate warning should nudge drivers toward taking corrective actions, such as taking a break or switching drivers, to avert accidents from happening. By integrating all these components together into an operational vehicle environment, continuous monitoring and real-time feedback are ensured for an ideal operation experience.