Muaaz Arif Rasul, Arsam Awan and Sohaib Anwaar2025-10-102025-10-102018https://escholar.umt.edu.pk/handle/123456789/8674Diabetic Retinopathy is the human eye disease with people having diabetes which makes harm to eyes and may even cause visual deficiency. Detection of Diabetic Retinopathy in early stages is essential to keep away from blindness. There's been much treatment for this disease but it’s a lot time taking and may even include many eye tests. The target of our project is to give accurate and less time taking results by applying different deep neural networks algorithms to classify different eyes infected by the illness. The objective of this project is to implement an automated detection of diabetic retinopathy (DR) using RGB images. By using deep learning which will determine Five Different classifications. An early detection of diabetic retinopathy enables medication to be performed to prevent or delay visual loss, and to increase awareness and knowledge of DR among people with diabetes.enThesis