Argus

Hackathon prototype for monitoring live video feeds with event detection and operator review tools.

2x Hackathon Winning ProjectPublished February 1, 2025Updated March 11, 2026

  • TypeScript
  • AI
  • Computer Vision
  • PostgreSQL
  • RTMP
Argus hero image

Context

Argus started as a fast experiment in making live video review feel more usable for teams that need signal without watching every frame themselves.

The core question was whether ingest, computer-vision analysis, and operator review could be shown as one coherent workflow instead of three disconnected tools.

Build

I framed the demo around one continuous loop: bring in a live feed, analyze it automatically, and surface notable events in a review interface that still felt operator-driven.

The prototype stayed grounded in real constraints, with streaming, typed application code, and persistent storage carrying the idea beyond a superficial hackathon mock-up.

Takeaways

The result showed that computer-vision assistance could reduce constant manual watching while keeping clear review points for a human operator.

It also became a better portfolio story because the architecture, product choices, and tradeoffs could be explained as one end-to-end system.