>Developed a deep audio classification project for identifying capuchin bird calls in rainforest recordings.
->Employed sliding window classification to analyse larger audio clips, effectively detecting the total number of capuchin bird audio calls.
->Utilized TensorFlow libraries to read and preprocess raw waveform data, converting it into spectrograms for CNN-based classification.
->Achieved binary output (1/0) from the TensorFlow model, indicating the presence or absence of capuchin bird calls in the rainforest recordings.
->Contributed to environmental conservation efforts by enabling efficient monitoring and estimation of capuchin bird density in different rainforest areas.
