The bioacoustic monitoring project runs under the supervision of Bernd Meyer of Monash’s Department of Data Science & AI. The project aims to use AI techniques to help researchers track the health of our ecosystem by monitoring recorded bioacoustics data in the wild. The ‘monitoring’ part is often tedious, as experts need to manually comb through hours of audio to identify and tag the animals they hear. This is where we come in! We focus on sound event classification and detection models that would help researchers to detect whenever an animal’s sounds occur and identify which animals it belongs to. This would allow the researchers to work on more meaningful yet smaller manageable chunks instead of the long audio recorded from nature.