The document describes a project to identify bird species from images using deep learning. It trains a model on the CUB-200-2011 dataset of 200 bird species/categories. Given an input image, it converts it to grayscale and runs it through the trained model to predict the matching species. It provides screenshots of the user interface where a user can upload an image to get the top 5 predicted birds along with a score graph showing matching scores. It aims to accurately identify bird species from images without needing audio/video data.