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The Raspberry Pi OS ALSA tools help you get the most from your sound devices.allowing you to run machine-learning models on surprisingly small devices.

This is an easy-to-configure command-line tool that uses a URL-like structure to construct messages that can be delivered to any one of more than 70 services.so it was already in a ArgonOne SSD case with a 240GB SSD.One of my suburban wildlife photograpy subjects.

the most interesting identification was one I almost ignored as a false positive.With the office window open as the days warm up.

Its a standalone model and can be used even when your phone is offline.

using the TFLite Tensorflow packages.showing recently identified birds.

If you want to identify more and in more of the world.and even though I spent time using the Raspberry Pi ALSA tooling.

Id recommend using an SSD with technologies like BirdNET as they can write a lot of data to a disk.which is designed for headless systems and removes the UI components.