AudtheiaOfficial/audtheia-environmental-monitoring
AI-powered environmental monitoring system for marine and terrestrial ecosystems using computer vision, real-time analysis, and FAIR data principles.
Implements a four-stage pipeline combining YOLOv11 real-time detection (60 FPS via Roboflow) with parallel N8N workflows that deploy 9 specialized AI agents to extract 72 data points per observation, querying GBIF, IUCN, NOAA, and Mapbox for taxonomic and environmental context. Automatically generates publication-ready PDF reports and stores structured datasets in Airtable, designed for Marine Protected Area compliance, peer-reviewed research, and institutional conservation planning.
Stars
7
Forks
2
Language
Python
License
MIT
Category
Last pushed
Feb 19, 2026
Commits (30d)
0
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