BioJalisco Species Identifier

AI-powered species identification for conservation researchers in Mexico — photo in, verified species data out

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The Challenge

Conservation biologists in Jalisco encounter thousands of species during fieldwork but lack rapid identification tools with verified data. GPT-4o Vision alone frequently misidentifies species without geographic context. No existing tool combines AI vision, regional species data, global taxonomy verification, and Mexico-specific conservation status (NOM-059, endemic classification) in one flow.

The Solution

Key Features

Five-API pipeline: iNaturalist context + GPT-4o Vision + GBIF verification + EncicloVida/CONABIO enrichment + Nominatim reverse geocoding
EXIF GPS extraction from photo metadata for precise location-aware identification (proven: corrected Broad-billed Hummingbird to Cinnamon Hummingbird with accurate coordinates)
Reverse geocoding via OpenStreetMap Nominatim: country, state, region, municipality, city displayed in Data Sources
Verified IUCN Red List status and taxonomy from GBIF backbone (not AI-generated)
Mexico-specific data from CONABIO: endemic/native/exotic classification, NOM-059 protection status, indigenous language names
Explore/Research dual-mode tab system: casual users see About + Habitat + Similar Species; scientists see Taxonomy + Conservation + Data Sources
Bilingual (EN/ES) with dark/light theme, community observation gallery, and EXIF privacy stripping
Graceful degradation: works with just an OpenAI key, enriched with optional services

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