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BirdNET-Go is a real-time bird sound identification and monitoring system that
uses advanced AI and machine learning to recognize bird species from audio
recordings. It analyzes ambient sounds from microphones or audio files to
identify and catalog bird species in your area. BirdNET-Go features automatic
species detection with confidence scoring, location-based range filtering to
show only birds likely in your region, real-time audio streaming, and
comprehensive logging of all detected species. The application supports custom
sensitivity settings, overlap detection for better accuracy, and can utilize
XNNPACK acceleration for improved performance. Perfect for bird enthusiasts,
ornithologists, researchers, and anyone interested in monitoring local bird
populations and creating automated bird sound databases.