In this Senior Design Project, I, along with 3 teammates, created a smart birdfeeder capable of taking images of birds and recording their calls. This data is gathered automatically from the birdhouse and is then transferred to the user's desktop Python application. Here, the audio files are run through Cornell's BirdNET audio identification software and the outputs are converted to graphs and charts for the reader. The user can navigate this application via our PyQt5 GUI and view all pictures and charts. We also leverage the Unsplash API to perform automated image searches for the charts if there is a bird we do not have an image for.
