BirdNET-Pi VS awesome-teachable-machine

Yup! There's an open source software called BirdNet, and someone packaged it up to make it easy to run on Pis - BirdNet Pi.

I had https://github.com/mcguirepr89/BirdNET-Pi running last summer with great success. Might be worth a look.

BirdNET-Pi

The birders are super ahead of the curve. Check out this Rpi implementation of BirdNet: https://github.com/mcguirepr89/BirdNET-Pi

Some other options for low-cost backyard sound/biodiversity monitoring are:

https://www.openacousticdevices.info/

If you do want to use a raspberry pi and the mics you build, check out this project: https://github.com/mcguirepr89/BirdNET-Pi/

I have I've used rpis for multiple things, but by far the most interesting thing I've done with them is as a [birdsong classifier](https://github.com/mcguirepr89/BirdNET-Pi). That requires an external microphone _of some sort_, and is prone to certain pitfalls (e.g. all sorts of background noises trigger false positives on bittern).

Not sure if I've seen anything of the sort, seems rather specific. Maybe try a Teachable Machine project? https://teachablemachine.withgoogle.com/

Train a computer to recognize your images, sounds, and poses. Use this resource to gain a better understanding.

[Teachable Machine](https://teachablemachine.withgoogle.com/)

We will create an machine learning model that can classify Arabic and English books. To collect, train, and test data, we will use Teachable Machine from Google.

a lot of places! but for a high schooler, better to focus at what you want to do first. or if you still haven't gotten any idea, try a simple explanation on what ml is without the math on youtube and tinker around a no code machine learning platform like https://teachablemachine.withgoogle.com/

The principle is roughly the same as it is possible with teachablemachine.withgoogle.com.

You mentioned app, so check this out: https://teachablemachine.withgoogle.com

Here is a similar tool and source