Project 06 / 12 · Cybersecurity / Full Stack

LaptopGuard AI

A personal laptop security ecosystem connecting a desktop agent, a mobile controller and a web dashboard.

ReactTypeScriptTailwind CSSVitePython

LaptopGuard AI security platform overview · Click to view full size

The project.

LaptopGuard AI explores owner-operated laptop monitoring across desktop, mobile and web. It connects a Windows security agent with a mobile controller and a dashboard for device status and remote actions.

The public source documents device pairing, remote workstation locking, alerts for power and network changes, camera verification and location information. Location is based on available network signals rather than a claim of built-in GPS.

Its documented camera workflow includes a visible on-device notification and session limits. The source also describes buffering events while offline and synchronizing them when connectivity returns.

What it does.

Remote locking

The owner can request a native workstation lock through the connected agent.

Device alerts

The documented watchdogs detect power disconnects and changes in Wi-Fi connectivity.

Visible camera sessions

The camera workflow uses WebRTC with an on-device notification and session limits.

Offline event handling

The agent’s documented queue buffers events and synchronizes them after reconnection.

How it comes together.

Agent → Python integrates desktop status checks and operating-system actions.

Backend → FastAPI and WebSockets connect agent events to the dashboard and controller.

Clients → A React web dashboard and Flutter mobile application provide owner-facing controls.

A closer look.

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