Avian Intelligence & Geospatial Analytics for Nepal is an advanced Machine Learning pipeline and Command Line Interface (CLI) built on top of the Cornell Lab of Ornithology’s eBird Basic Dataset (EBD). Designed specifically for the geospatial para…
Avian Intelligence & Geospatial Analytics for Nepal is an advanced Machine Learning pipeline and Command Line Interface (CLI) built on top of the Cornell Lab of Ornithology’s eBird Basic Dataset (EBD). Designed specifically for the geospatial parameters of Nepal, this tool parses decades of historical, high-density observational data to achieve two primary functions:
Forward Tracking: Dynamically calculating the optimal geographic hotspots, migration seasons, and population densities for targeted endangered and endemic species.
Reverse Prediction (ML): Utilizing predictive modeling (Random Forest/XGBoost) based on GPS coordinates, temporal data, and flock dynamics to accurately predict species occurrence in the field.
Built for conservationists, wildlife photographers, and data scientists.
