databytes-organisation/project-echo

Project Echo is an AI/ML tool that analyzes rainforest audio recordings to identify and classify noise-producing animals, helping conservationists monitor threatened species populations. It processes audio files into mel spectrograms and uses a pre-trained EfficientNetV2 model to provide classification predictions with 90% accuracy. The project is designed for conservation researchers and wildlife monitoring teams who need automated, non-invasive methods for tracking animal populations through bioacoustic analysis.