• Sharma Darshna
• Poonam Karki
• Suruchi Yadav
• Tamanna Banu
• Prof. Asghar Pasha

— Eye disorders are the leading cause of eyesight loss in both developing and developed countries. Identifying and identifying a specific eye condition at an early stage can ensure that patients receive adequate care and that the eye surgeon is supported effectively. Eye problems in the elderly are a serious health issue. The natural function of eye tissues declines as people become older, and ocular disease becomes more common. Cataracts, Macular Degeneration, Hypertension, Diabetic Retinopathy, Myopia, and other age-related eye disorders and visual impairments in the elderly are the most prevalent causes. The loss of vision in the center of the eye is caused by macular degeneration. Hypertension is caused by a lack of aqueous fluid drainage in the eyes, pathological myopia, and cataracts, which cause clouding or blurring of vision. The loss of vision in the center of the eye is caused by macular degeneration. Hypertension is caused by a lack of aqueous fluid outflow in the eyes. Pathological myopia is caused by cataracts, which obscure or blur the lens of the eye. In diagnosis and illness management, a computer-based intelligent approach to the categorization of various eye disorders is quite important. This system compares three categorization algorithms for four distinct types of eye data sets (three different kinds of eye diseases and a normal class). The suggested system employs Resnet, a deep learning model architecture. These raw photos are used to extract features, which are then given to the classifiers. We want a system that can identify eye disorders with greater precision and speed

"Ocular Disease Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.c421-c426, July-2022, Available :http://www.jetir.org/papers/JETIR2207253.pdf

"Ocular Disease Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppc421-c426, July-2022, Available at : http://www.jetir.org/papers/JETIR2207253.pdf