KERALA / Dubai, UAE:

Just an 11-year-old girl astonishes the world with her extraordinary development skills. She recently created an AI Application that uses advanced models to determine eye diseases or serious conditions such as Melanoma, Cataracts, etc. Read below about this creative Kerala-origin girl.

An 11-year-old Dubai-based girl called Leena Rafeeq has designed a modernistic application integrated with Artificial Intelligence (AI). This young girl from Kerala proclaimed that this smart app can locate common eye disorders and symptoms. Moreover, this can be determined through a unique scanning method built into the app and only the iPhone supports this advanced model so far. 

iPhone users will be able to check their eye-related problems and conditions with 70 per cent accuracy. The intelligent app that has been going viral for a couple of days has been named ‘Ogler EyeScan’ by Ms Leena Rafeeq. She was just 10 when she built it and now after so much research at the age of 11, she exuberantly launched it. 

Self-taught Techie

On a social media platform called LinkedIn, she vividly presented the model. She further expounded the workings of her self-made in an online video that she posted online after which several viewers are impressed with her knowledge and skill set. 

She asserted that this AI-based application has the capability to evaluate various parameters. The specifications include light and colour intensity, distance and look-up points in order to track down the eyes. 

It scans the human eyes within the available range of the frame and this is possible through the “advanced computer vision and machine learning” used in this model’s design. 

Features of ‘Ogler EyeScan App’

Leena Rafeeq explains her exceptional achievement and said that the Ogler EyeScan App can also identify any light burst issues. Additionally, this app will first check the eye positioning inside the scanner frame and after that through advanced technological scanning procedures, it can identify some of the common eye problems. 

Built with Machine Learning Algorithms and Computer Vision Systems, eye conditions like Arcus, Melanoma, Pterygium and Cataracts can be checked however 70% accurate results have been recognized till now. 

How AI App is developed?

Ms Rafeeq told that this smart technology app was developed natively with high-level programming developer ‘SwiftUI’ without the involvement of any third-party libraries or packages. She also reveals that she dedicated herself for almost six months to conducting research and development to come up with this initiative. 

Along with this, she continued her learning about different eye conditions, computer vision, algorithms, machine learning models and other advanced levels of Apple iOS development which involves sensors data, AR, CreateML, CoreML and many such tools.

It is notable that the Ogler EyeScan is supported solely in iPhone 10 or Apple phones with iOS above 16. The app is under review on the App Store and this young girl hopes that her model gets listed soon.

Appraisal of her Project

This young Kerala girl leaves many flabbergasted by the invention of such a little girl. People congratulated her as she attains this level at this age. A user commented that this is a pretty good example of how AI can be effectively used in the health sector.

Another goes on to say that this is such an amazing creation and wished her good luck with her future endeavours. They all wished her positive reviews on her app. Ms Rafeeq responded that the model accuracy is “almost 70 per cent”. 

However, she is handling some difficulties with the presence of glare and burst from lights caused by the distance required for capturing scans through the phone device. She has implemented metrics and detection for light-related issues so that the users will be able to re-scan. Her current focus is on training more elegant models. As soon as Ogler is accepted by the Appstore, she will be releasing an update in the software.

source: http://www.jagranjosh.com / Jagran Josh / Home> Current Affairs> Science – Technology Current Affairs / (headline edited) April 2023