BioJalisco Species Identifier

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

Featured

Video Walkthrough

Screenshots

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BioJalisco home screen with drag-and-drop photo upload for species identification

Species identification result showing the identified animal with common and scientific names

Explore mode tabs — About, Habitat and Range, and Similar Species for casual users

Research mode taxonomy tab with verified GBIF classification data

Conservation tab showing IUCN Red List status and Mexico's NOM-059 protection level

Data Sources panel with location metadata, GBIF match data, and EncicloVida enrichment

EXIF GPS extraction and reverse-geocoded location showing state, municipality, and city

Verified-data badges distinguishing authoritative sources from AI-generated content

Community observation gallery with featured species submitted by researchers

Bilingual interface with dark and light theme support for the research team

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

BioJalisco chains five independent data sources into one identification flow. It extracts GPS coordinates from photo EXIF metadata (stripping them for privacy), reverse geocodes the exact location, and feeds that context to GPT-4o Vision so identifications are grounded in regional reality instead of global visual lookalikes. GBIF then overlays verified taxonomy and IUCN status, while CONABIO/EncicloVida adds Mexico-specific data — endemic classification, NOM-059 protection, and indigenous-language names. Verified-data badges keep authoritative sources clearly separated from AI-generated content, and graceful degradation lets the app run on just an OpenAI key.

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

Results

EXIF-based location proven to correct real misidentifications (Broad-billed → Cinnamon Hummingbird)
Verified taxonomy and IUCN status sourced from GBIF and CONABIO, not AI guesswork
Dual-mode interface serves both casual explorers and working scientists from one result
Production deployment runs on any camera phone with zero-config minimum setup (OpenAI key only)

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