BirdNET is an Android app designed to help users identify bird species using artificial intelligence and neural networks. Developed by Stefan Kahl in collaboration with the K. Lisa Yang Center for Conservation Bioacoustics at the Cornell Lab of Ornithology and Chemnitz University of Technology, it allows users to record bird sounds using their device's microphone and provides probable bird species identification.

The app is a great tool for bird enthusiasts, researchers, and conservationists alike. With over 3,000 of the most common bird species worldwide in its database, BirdNET uses advanced AI algorithms to accurately identify bird species from their sounds. Users can also submit their recordings to help collect observations, contributing to ongoing research and conservation efforts.

Overall, BirdNET is an impressive and useful app for anyone interested in birdwatching or studying bird sounds. Its intuitive interface and accurate identification make it a must-have for both beginners and experts in the field.