tphakala/birdnet-go
A self-hosted realtime soundscape analyzer that uses local AI models to detect and identify birds, bats, and wildlife from audio recorded 24/7.

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This project is a Go-based application that continuously analyzes audio from microphones to detect and classify bird, bat, and other wildlife species using TensorFlow models. It runs entirely locally on hardware like Raspberry Pi, performing multi-model AI inference for bioacoustic monitoring. Users can deploy it as a self-hosted solution for wildlife observation, ecological research, or citizen science projects.