If so, any thoughts on how hard it would be? Since I don't use ml a lot and only experimented with recommendation engines with ml.net
( A lot of trees and a lot of birds at my parents place)
Mostly because my dad would love this and it could be a fun project to get a better understanding of ML.
Another interesting product is bird box, that keys you know which birds are feeding now: https://www.kickstarter.com/projects/mybirdbuddy/bird-buddy-...
I doubt that it will work on a Raspberry, but you can run it elsewhere and just send the audio to it.
Since it contains a tensorflow model and tensorflow can be used with ml.net.
It would analyze recordings every 3 seconds. Since that is what the model expects. No?
If so, any thoughts on how hard it would be? Since I don't use ml a lot and only experimented with recommendation engines with ml.net
( A lot of trees and a lot of birds at my parents place)
Mostly because my dad would love this and it could be a fun project to get a better understanding of ML.
Another interesting product is bird box, that keys you know which birds are feeding now: https://www.kickstarter.com/projects/mybirdbuddy/bird-buddy-...