GitHub - mcguirepr89/BirdNET-Pi: A realtime acoustic bird classification system for the Raspberry Pi 4B, 3B+, and 0W2 built on the TFLite version of BirdNET.
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A realtime acoustic bird classification system for the Raspberry Pi 4B, 3B+, and 0W2 built on the TFLite version of BirdNET. - GitHub - mcguirepr89/BirdNET-Pi: A realtime acoustic bird classificati...

Not the most conventional application for self-hosting, but thought it might make for a fun weekend project for someone.

BirdNET-Pi is built off the back of Cornell University’s BirdNET Sound ID neural network model (https://birdnet.cornell.edu/). It can be used to classify what birds are in your vicinity by listening to their calls.

  • hillbicks@feddit.deEnglish
    3·
    2 years ago

    Thanks. This definitely goes onto the pile of things I’ll build at the new house.

  • 35qam@lemmy.worldEnglish
    3·
    2 years ago

    This is a very cool idea! What microphone would be well suited for this purpose?

  • Protegee9850@lemmy.worldEnglish
    11·
    2 years ago

    The Cornell app is magical. If i self host this is it mobile compatible? I’d love to be able to host and share this with the family if so.

    • moosemouse@lemmy.worldEnglish
      1·
      2 years ago

      Yes the website looks just fine from mobile, I have had one running for weeks and my phone is the primary way I access it.