Now a day birds are present in various scenarios appear in different shapes, sizes, colors etc. from human perspective. Human ability to recognize the birds through images is not a tough task but machines can’t. We have used dataset of 200 bird species with training, testing and validation images. By using CNN an image is converted to gray scale format passing through neural networks compared with testing images and generate accuracy, predicts classes.