Empowering Futures through Innovative Eye Health Solutions

World Health Organization estimates that at least 2.2 billion people have near or distant vision impairment. 1 billion of those cases could have been prevented or still have to be addressed. The leading causes of blindness or distance vision impairment among those mentioned 1 billion are cataracts (94 million), refractive error (88.4 million), age-related macular degeneration (8 million), glaucoma (7.7 million) and diabetic retinopathy (3.9 million). Among the above eye conditions, our model detect cataracts, glaucoma, and diabetic retinopathy.

Cataract is an eye disease causing the eyes to be cloudy, vision to be frosty or fogged-up and the person suffering from it to face difficulties reading, driving, and even recognizing another person’s face. It is caused by proteins that build up on the lens of the eyes preventing light from passing through it. Cataracts account for more than 51 percent of blindness throughout the world.

Glaucoma is caused by fluid building up in the front part of the eyes that increases the pressure inside the eye causing the optic nerve that connects the eye to the brain to be damaged. According to the Centers for Disease Control and Prevention (CDC), it is the second leading cause of blindness worldwide, 50% of people with glaucoma don’t know they have it as there are usually no early symptoms. It must be detected and diagnosed early to stop the vision from getting worse and causing vision loss as it is impossible to reverse any damages that happened before the diagnosis.

Diabetic retinopathy is a common complication of diabetes where high blood sugar levels cause damage to the blood vessels of the retina. Globally, 27% of diabetic patients have it It can’t usually be noticed in the early stages due to the lack of obvious symptoms until it’s more advanced however it can be picked up during diabetic eye screening.

Normal

Cataract

Glaucoma

Diabetic retinopathy

OUR SOLUTION

Pocket-sized pre-screening tool, limitless impact

By combining image processing technology and artificial intelligence, our pre-screening tool can detect even the smallest abnormalities in the eyes.
A safe and cost effective pre-screening tool with no need for specialists.

Fast & frictionless Screening and analysis in a few moments

No specialists needed Easy for all healthcare personell to use

Scalable solution The bigger the data set, the smarter our AI solution becomes

Artificial Intelligence Our own made AI performs the image analysis and provides a risk assessment

Easy to Integrate Submit an image of your eye and see the results

High Accuracy Model accuarcy is 91.46% and 96.68% for Catarct Model

Contributors

This project is made by the team (MA4Y BNOR ALLAH) under supervision of (Dr. Samah El-Tantawy) at Cairo University - Faculty of Engineering as a part of the MTH-2245 course: PDEs and Special Functions. This is GitHub Repo for more details.