Built an AI system last year for my college project that watches your face and yells at you before you fall asleep at the wheel

A college student built FocusFleet, a drowsy driver detection system that uses MediaPipe to track 468 facial landmarks and a custom-trained Keras model to monitor eye closure and yawning, triggering an audio alert when it detects a driver falling asleep. The system includes a state machine with active, warning, drowsy, and face-lost states to avoid false alarms. The developer shared the project online after improving it since its creation last year.

So last year for my final year project I built FocusFleet — a drowsy driver detection thing that actually works pretty well, and I’ve kept improving it since. Basically it watches your face through the camera 468 landmarks via MediaPipe , tracks how much your eyes are closing and whether you’re yawning, and runs that alongside a Keras model I trained myself for a second opinion. If it thinks you’re actually falling asleep not just blinking , it sets off an audio alert loud enough to snap you back. There’s a whole state machine behind it too — active, warning, drowsy, face lost — so it’s not just spamming alerts on every blink, it actually waits for a real pattern before reacting. You can run it two ways: Honestly proudest of this one out of everything I built in college, so figured I’d finally share it here instead of letting it die in a folder. Would love to know what you think, if the detection feels accurate, or if it triggers false positives for anyone.