It is better to cure any disease as early as possible before it’s too late. if diabetic retinopathy is left untreated it can cause permanent blindness. Also, identification of the stage of DR is tricky and it requires a human expert of fundus images. So simplified thing of detection is easy and can help many people.it occurs mainly when diabetes is unmanageable. It classifies the fundus images based on their severity levels as No DR, Mild, Moderate, Severe, and Proliferative DR. The datasets Aptos 2019 Blindness Detection were both obtained from Kaggle. Our proposed model achieved 90% of accuracy. The Regression model was also employed, manifested up the accuracy of 78%. Keywords: Deep learning, diabetic retinopathy, deep convolution neural network, kaggle, APTOS 2019.