Real‑time driver safety monitoring that watches the road and the driver.
A dual‑interface system (CLI + web dashboard) that processes live camera feeds for lane departure, drowsiness, and hazard detection using classical computer vision and deep learning.
Tired drivers and fleet operators have no simple way to get real‑time warnings about lane drifting, microsleeps, or sudden roadside dangers without buying expensive, proprietary hardware. A cab driver with a cheap dashboard webcam still has to rely on their own tired eyes to notice that they are leaving the lane or that a stray animal has run onto the road, with no automated alert that could prevent a crash.
DriveGuard AI addresses the critical issue of driver safety by providing a comprehensive monitoring solution that utilizes affordable camera hardware to deliver real-time alerts for lane drifting, drowsiness, and road hazards. This solution leverages advanced computer vision techniques and allows both individual drivers and fleet operators to enhance safety without the need for expensive, proprietary systems.
This isn't just a project — it's a simulation of how software actually gets built inside a company. You'll see how real teams gather a client's requirements, negotiate trade-offs, and ship in sprints instead of all at once, while picking up the daily rhythm of an engineer's (and tester's) week along the way.
One purchase, the entire toolkit — nothing held back, nothing sold separately.
6 architecture & design diagrams(HLD, LLD & more) — unlocked with the Standard or Premium plan.
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