Prediction of retinal disease by learning classifier

Job ID: 34274776

Budget: $15 – $25 USD

Retinal Prediction app :1. At the beginning of the application when you download it for the first time, When the user enters the application, the introduction screen appears first showing the mechanism by which the application operates.

2. Then the type of user, whether a patient or a doctor, is determined through the user selection screen


3. After determining the type of user, if a doctor, enters the prediction screen through which the result appears, where the doctor uploads the image of the fundus of the eye and shows the result when pressing the view result button, where the result appears only without any details.

4. But if the user is sick, he enters the login screen if he has an account before, But if for the first time he enters the signup screen and then enters the home screen.

• the first is prediction, where he clicks on it, then loads the fundus image, then clicks on the view result button, then the result appears with the details of this result and an explanation of it.

•The second is profile: it contains all the user data that he entered in the registration screen, where that data appears, and also displays the result of the image he uploaded in the prediction screen, and also in the profile screen that he takes some of it. Advice to avoid. More options in this screen that the patient can refer to all previous outcomes with the date and time of this result, and finally the option can edit his profile easily.