Falling asleep at the wheel happens more than you think, especially after long stretches behind the wheel or when darkness wraps around you. This work tackles that problem head-on: one tool watches for signs of tiredness, linking straight to an alert system that pauses everything or stops motion entirely just by speaking. Camera power does not come from an external gadget but from a standard laptop, which is always on and always scanning. Using tools such as OpenCV and Haar cascades, working alongside facial landmark tracking, the setup measures eye and mouth characteristics and turns them into metrics such as EAR. From these values, clues emerge about fatigue: signs include prolonged eye shutting and repeated yawning episodes. A warning sound is triggered when sleepiness is detected, and Py-game handles the voice message. Then, a message is sent over the serial link to an Arduino Nano, making things happen quickly. A motor kicks in, like brakes engaging or power cutting off, owing to a switch operated by the code. Alarms ring through a buzzer, and lighting changes on LEDs reveal what is happening behind the scenes. A shaking sensation is generated by a small vibrator designed to reach the driver directly. The use of computer vision, AI, and compact electronics creates a practical and budget-friendly safety tool. This setup helps drivers stay alert and is suitable for self-driving cars, heavy trucks, or extended road journeys.