Our trained CNN+LSTM model analyzes the audio using FGC2.3 classification

I built a small web app that lets you upload or record a cat’s meow and get a simple analysis of what the cat might be expressing (attention, stress, hunger, etc.). This started as a fun experiment with audio feature extraction + lightweight ML, but it turned into a surprisingly entertaining way to think about non-human vocal patterns. The app runs entirely in the browser (no account required). I’d love feedback on: whether the analysis feels believable or useful ideas for better features or datasets ethical / scientific limitations I should be clearer about

I might try this if you link or briefly explain the supporting research on your landing page.