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Machine Learning (ML) is one of the most powerful technologies for tackling a wide range of real-world problems in the fast-paced world of the twenty-first century. Both regular and differently-abled persons benefit from machine learning. The Convolutional Neural Network (CNN) has been proposed for a variety of applications such as multimedia processing and so on. Here in this research paper we have described the way and created a Binary Classification model using CNN for identifying the Paintings and Photographs. Each painting and Photographs have been being warped using various procedures such as a convolutional layer, dense layer, and Flatten layers. The model is used for Binary Classifications. The wrap has been done at random on a large dataset for CNN training. We explore the architecture of CNN affects the accuracy of the identification. The proposed Model aims to increase the efficiency and …