VisionSaver: Revolutionizing Ocular Disease Detection with AI-Powered Real-Time Screening

Detecting ocular diseases is crucial for preventing vision impairment and blindness. However, various obstacles such as insufficient awareness, elevated healthcare expenses, and the necessity for technological advancements impede effective screening. This ground-breaking device, VisionSaver, presents a novel method of identifying eye pathologies. By employing a multi-layered deep Convolutional Neural Network, VisionSaver outperforms traditional models in the extraction of complex characteristics from medical images. VisionSaver stands out for its real-time detection capabilities, which are made possible by an easy-to-use Graphical User Interface. This feature gives medical professionals accurate results and makes it possible to make decisions quickly. The system’s adaptability guarantees precise identification of a broad range of ocular diseases, encompassing Diabetic Retinopathy, glaucoma, and even uncommon ocular conditions. VisionSaver enhances efficiency and retains crucial features by integrating sophisticated techniques like convolutional layers, pooling layers, dense layers, and VGG models. This innovative strategy holds the potential to transform eye healthcare, ushering in a proactive treatment era and significantly enhancing patient outcomes. VisionSaver combines data collection and preparation, data preprocessing, feature extraction, model selection, and model training to provide a robust solution for ocular disease detection achieving the accuracy of 91%. The system’s real-time capabilities, user-friendly interface, and adaptability make it a powerful tool in the fight against ocular diseases.