Biodiversity intelligence, powered by multimodal AI.
GaiaNet turns fragmented wildlife data — images, audio, surveys — into ranked, actionable conservation decisions inside a single dashboard.
Conservation teams have data but not decisions. Species IDs sit in one tool, population trends in another, and action-planning happens in spreadsheets.
Built and demoed end-to-end during SEED Hackathon 2025, going from raw wildlife data to a prioritized action list in a single flow.
Used Gemini 2.5 Pro as the reasoning core, with CLIP zero-shot classification as a fallback for unseen species.
Forecasted population trends with tabular models and modeled ecosystem stability from combined signals.
Ranked conservation actions by impact-per-effort so field teams see what to do first, not just what's wrong.
Shipped as a dark-mode Streamlit dashboard with pydeck maps and one-click PDF field reports.