Diabetic retinopathy is a diabetes complication that effect eyes even lead to permanent blindness also.
Do you know ..?
Mostly 60% of diabetic patients will have this diabetic retinopathy disease because it is caused by damage of blood vessels at back part of the eye (that is Retina ).
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For diabetic people, sugar levels of blood will lead high pressure inside blood vessels and this uncontrolled blood sugar causes damage to body ,then our smallest vessels are at highest risk at that time. The diabetic retinopathy disease is not suddenly occured ones ,it's progressive one. The persons with this disease will be seeing blackspots on their eye vision and its sometimes eventually leads to permanent blindness also.
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Sometimes abnormal vessels grow at back side of our eye that is at retina part. Even that abnormal growth of blood vessels at retina will leads to diabetic retinopathy.
Additional information..!
People of age group 25-60 are the major victims for this disease as per World health organization records
Why our model is important ?
Every diabetic patient should screen this test for almost half a year compulsory so that we can cure it at starting stages or else if we cross danger strides we can't do anything it will be permanent blindness.
So to avoid that, patients should screen for particular time period regularly and we are the one who providing the test at easier extents.
If any of the below affect you ,it's worth having an retinopathy screening examination as quickly as possible
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Poor blood glucose control
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Protein in urine
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High blood pressure
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Prolonged diabetes
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Raised fats(truglycerides) in blood
Goal: To represent the Level of Disease that is Diabetic Retinopathy in a patient through an Android Application and provide some other facilities like patient records and a chatbot for clearing of doubts patients and new customers etc.
Technical Features:
- Application runs on basis of input taken by Iris Scanner, which will be sent as an input to the Application Detecting Interface in brief to the AI Image Classification Model as an image of shape 224,224 pixels (They are reshaped internally).
- On running of the pre trained model the AI sends the prediction i.e., result into the app interface to represent in the UI.
- After the prediction of level Disease, we proceed for the suggestions i.e., an automatic online prescription is generated.
- Further all the iris images of user will be stored internally in the Database separately for quick monitoring.
- A chatbot i.e., a chat section is provided for the customers to clear some basic doubts regarding the diseases and precautionary measures.