High-density autonomous OSINT analysis, live threat intelligence, and satellite diagnostics architecture.
FoxyShield operates as an independent, fully autonomous OSINT harvester and spatial analyzer. By combining advanced natural language processing (local AI runtime) with direct geospatial telemetry, the platform parses hundreds of unstructured tactical reports per hour, transforming raw public indicators into verifiable hazard zones and flight trajectories without human bias.
Real-time telemetry crawlers monitoring tactical Telegram channels, RSS mirrors, and military blogs with high-frequency parsing and rate-limit safety.
[OK] crawler_sync.py: Listening to 45 Telegram feeds. Loop interval: 30s.
Direct integration of active fire hotspots from NASA’s MODIS and VIIRS satellite sensors to pinpoint artillery impacts and industrial combustion.
GET /firms/api/v1/active_fire -> Parsed 12 anomalies, threat weight: 0.88
Advanced AI engines parse unstructured military briefings to calculate bearing angles, threat vectors, flight paths, and target decay rates.
local AI runtime: Extracting flight-path bearing & speed -> output JSON
High-performance Leaflet-rendered vector layers mapping active threat zones, drone activity contours, and historical strikes.
L.geoJSON(data, { style: threatStyle }).addTo(map); 144 vector nodes