• Experimented with different CNN architectures, including ResNet, DenseNet, and MobileNetV2, and designed a new 6-layer model to classify 13 distinct sound classes. • Implemented preprocessing techniques using libraries such as librosa to generate Mel spectrograms, facilitating the CNN-based classification process