🌐worldmonitor

why it's a big deal

• The signal intelligence architecture is genuinely sophisticated, not just a news aggregator with a map bolted on. It runs temporal baseline anomaly detection using Welford’s online algorithm, learning what “normal” military flight activity looks like on a Tuesday in January, then flagging when it deviates by 1.5, 2.0, or 3.0 standard deviations.
• The threat classification pipeline is a smart two-stage design: a keyword classifier fires instantly so the UI is never blocked, then an async LLM call (Groq Llama 3.1 8B) refines the result in the background and overrides only if its confidence is higher.
• The geographic convergence detection is the feature that makes this genuinely useful for analysis rather than just monitoring. It bins events into 1°×1° cells, when protests, military flights, and satellite fire detections all show up in the same cell within 24 hours, it escalates.