Eyes are one of the fifth senses of the human body. It helps us to look around the environment in which we are living. But today our eyes have lost shine due to the effect of pollution due to various carcinogenic and chemicals present in the air other than this our eyes are getting highly affected by the access usage of screens like mobile phones, laptop, etc. Hence, facing this problem in our day to day life this retinify system is able to detect various diseases like cataract and glaucoma using machine learning based algorithms and modules of python like tkinter. With an aim of the software to determine the disease present in the retina. The module is being trained using the ResNet-50 Algorithm. The system works on the percentage of probability of one of the two diseases cataract and glaucoma. Based on the analysis of the retinal image via classifying into left and right retinoidal image. The system retinify software predict the accuracy of the diseases(cataract and glaucoma) by 90% which is more than the previously existed systems of eye disease detection.

Convolutional Neural Network (CNN), Resnet50 Algorithm, Graphical User Interface (GUI), Cataract, Glaucoma, tkinter, Keras.