Comprehensive Identification of Indian Bird Species using Advanced Deep Learning for Acoustic Recognition

The project utilizes various machine learning and deep learning algorithms to analyze birds' voices and provide respective predictions. The dataset is collected from the Indian Bird Song website which contains diverse bird’s vocalization. After the data collection the key steps include audio processing, feature extraction (e.g. MFCCs and spectrograms) and model training using different algorithms. The application also includes features that help in continuous improvement and bird’s species dataset to enhance user interaction. Hence the project aims to contribute towards bird’s conservation and reliable tools for bird species identification through a web application.