This research presents an IoT-enabled smart alert system for enhancing road safety by detecting drowsy drivers. Driver drowsiness is a significant contributor to road accidents, making it crucial to develop effective systems that can detect and mitigate this risk. The proposed system utilizes a combination of IoT technologies, including a Raspberry Pi camera, proximity sensors, a crash sensor, and GPS, to monitor driver behavior and respond to potential hazards. The system's application involves capturing high-quality images using the Raspberry Pi camera, which are then processed to detect the driver's eye movements and calculate the Eye Aspect Ratio (EAR) as an indicator of drowsiness. Proximity sensors are employed to detect obstacles and trigger alarms when the vehicle approaches them. Additionally, a crash sensor registers collision impacts based on vibrations, immediately transmitting the signal to the home mobile device and generating email alerts to inform relevant parties of the accident. In the laboratory setting, the system's performance was evaluated by recording EAR values over a 10-minute period, demonstrating its ability to accurately detect drowsiness. Furthermore, a collision scenario was created to assess the system's response and accuracy in detecting and notifying accidents. The obtained location data from the collision system proved valuable in promptly notifying the base location of the collision. The results of the performance analysis indicate positive outcomes in terms of true eye detection, alarm production, and email notifications. However, there were instances of false detections and notifications, emphasizing the need for further refinement and algorithm optimization. Overall, this IoT-based smart alert system holds significant potential for improving road safety by identifying drowsy drivers and responding to potential collisions. By leveraging IoT technologies, we can create smarter and safer transportation systems, reducing the risk of accidents caused by driver fatigue and enhancing overall road safety