Leena Rafeeq, An 11-year-old Dubai-based Malayali girl, from Kerala (India), has developed an AI-based application that detects eye diseases and conditions using a unique scanning method on an iPhone. The app, called “Ogler EyeScan”, uses advanced computer vision and machine learning algorithms to analyze parameters like light and color intensity, distance, and look-up points to locate the eyes within the frame range.
After six months of research and development, Leena developed the app natively with SwiftUI without any third-party libraries or packages. During the process, she gained knowledge about eye conditions, computer vision, algorithms, machine learning models, and advanced levels of Apple iOS development, including sensors data, AR, CreateML, CoreML, and more.
Ogler EyeScan is currently under review in Apple’s App Store and will only be supported in iPhone 10 and above with iOS 16+. Once the app is approved, Leena plans to release an update to address issues related to light glare and bursts that affect the accuracy of the app’s scans. She hopes to train more sophisticated models to increase the app’s accuracy.
Leena’s innovation has received praise from netizens who have commended her for reducing equity health using AI. The app has a 70% accuracy rate, which Leena hopes to improve in the future. In the video demonstration that Leena shared on LinkedIn, the app identifies conditions like Arcus, Melanoma, Pterygium, and Cataract with the help of trained models.
Leena’s younger sister, Hana, also made waves when she became the youngest iOS app developer at age 9 by creating a storytelling app. The Rafeeq sisters have shown that age is just a number when it comes to innovation and creativity.
AI-based applications like Ogler EyeScan have the potential to revolutionize healthcare by providing accessible and affordable diagnosis of diseases and conditions. As technology continues to advance, AI-based medical applications may become more prevalent and accurate, increasing access to healthcare for people in remote or underserved areas.
In conclusion, Leena Rafeeq’s development of Ogler EyeScan is a testament to the power of innovation and the potential of AI-based applications in healthcare. With its unique scanning method and advanced algorithms, Ogler EyeScan has the potential to provide affordable and accessible diagnosis of eye diseases and conditions, reducing the equity health gap. We look forward to seeing more innovations from young minds like Leena and Hana in the future.