This study proposes a novel deep-learning solution for early detection of diabetic retinopathy, a major cause of vision loss. Utilizing Convolutional Neural Networks (CNNs), our model analyzes retinal images to predict the presence of DR with an impressive 93% accuracy. This approach empowers healthcare professionals with a valuable tool for early diagnosis, potentially leading to improved patient care and vision preservation.