BirdNET App

BirdNET is a science-based bird identification app that specializes in recognizing birds by their sounds rather than their appearance. Developed by the Cornell Lab of Ornithology in collaboration with Chemnitz University of Technology, BirdNET uses advanced machine learning and bioacoustic analysis to identify bird species from recorded songs and calls. Users simply record a nearby […]
iNaturalist App

iNaturalist is a biodiversity identification and citizen science app that connects everyday nature observations with real scientific research. Developed through a collaboration between the California Academy of Sciences and the National Geographic Society, the platform allows users to photograph plants, animals, fungi, and other organisms, then receive identification suggestions powered by computer vision. Unlike purely […]