The app also uses trained models to diagnose eye conditions like Melanoma, Cataracts, and Pterygium.
The app also uses trained models to diagnose eye conditions like Melanoma, Cataracts, and Pterygium. Unsplash
MedBound Blog

11-Year Old Indian-Origin Girl Develops AI App to Detect Eye Diseases with 70% Accuracy

Dr. Amey Patil

What were you doing at the age of 10? Probably studying for your fifth-grade exams. Well, this Indian-origin girl started working on an app at the tender age of 10.

Leena Rafeeq, now 11 years old, has developed an artificial intelligence-based software application to diagnose various eye diseases and conditions.

The smartphone application called Ogler EyeScan uses advanced computer vision and machine learning algorithms to analyze various parameters such as light, color intensity, and distance. The app also uses trained models to diagnose eye conditions like Melanoma, Cataracts, and Pterygium.

Leena Rafeeq took to LinkedIn to demonstrate the application that uses the scanning process via an iPhone.

Rafiq had to learn more about eye diseases, machine learning models, algorithms, and advanced levels of Apple iOS development. She added that the accuracy is around 70%.

Rafeeq revealed that the app is currently under review in Apple's store. She is a self-taught coder and created the app after six months of research and development. Rafiq had to learn more about eye diseases, machine learning models, algorithms, and advanced levels of Apple iOS development. She added that the accuracy is around 70%.

Leena's younger sister Hana Rafeeq had gone viral for becoming the youngest iOS app developer. She created a storytelling app at the age of 9. Hana was also appreciated by Apple CEO Tim Cook.

(Input from various media sources)

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