BirdNET-Go is an AI solution for continuous avian monitoring and identification 24/7 realtime bird song analysis of soundcard capture, analysis output to log file, SQLite or MySQL Utilizes BirdNET AI model trained with more than 6500 bird species Local processing, Internet connectivity not required Easy to use Web user interface for data visualisation Supports over 40 languages for species names Advanced features like Deep Detection for improved accuracy and Live Audio Streaming. BirdWeather.com API integration Realtime log file output can be used as overlay in OBS for bird feeder streams etc. Minimal runtime dependencies, BirdNET Tensorflow Lite model is embedded in compiled binary Provides endpoint for Prometheus data scraping Runs on Windows, Linux and macOS Low resource usage, works on Raspberry Pi 3 and equivalent 64-bit single board computers