Using machine learning and deep learning to detect diabetic retinopathy

This research aims to develop an efficient system machine learning model to detect diabetic retinopathy by testing various pre-processing techniques and models. In this paper we have proposed different pre-processing techniques on machine learning and deep learning models to speed up disease detection. We Have worked with thou sands of images to help identify diabetic retinopathy automatically. Our paper will not only help to prevent lifelong blindness, but these models may be used to detect other sorts of diseases in the future, like glaucoma and macular degeneration.