Offline-first AI child safety monitor with zone-based hazard detection
GuardianEdge is a Raspberry Pi–ready computer vision system that uses YOLOv8 to detect children near user-drawn danger zones (pools, stairs, windows) in real time, triggering local alarms and SMS alerts even when Wi‑Fi fails.
Parents of young children cannot watch every moment, and a toddler can reach a backyard pool, open staircase, or unlocked window in seconds. Existing baby monitors only show video after the fact, require constant cloud connectivity, or lack the intelligence to distinguish a child wandering toward danger from normal play. When Wi‑Fi drops during a storm, these systems go silent at the worst possible time, leaving caregivers blind to emerging threats.
GuardianEdge addresses the pressing need for real-time child safety monitoring by combining advanced machine learning techniques with local hardware functionality. Its ability to detect children near hazardous areas and provide immediate alerts, even without internet access, empowers caregivers to respond promptly to potential threats, effectively bridging the gap between digital monitoring and physical safety.
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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