An 11-year-old girl based in Dubai, named Leena Rafeeq, has developed an innovative AI-based application that can detect various eye diseases and conditions. The app, called “Ogler EyeScan,” uses a scanning process through an iPhone, which can help diagnose eye conditions such as cataracts, glaucoma, and macular degeneration.

Leena Rafeeq announced her unique creation on LinkedIn, stating that the app uses machine learning algorithms to analyze images of the eye and identify any potential issues. According to Leena, the app can provide early detection of eye diseases, which can help save lives and prevent blindness.

The young girl’s interest in developing the application stemmed from her concern for people who could not afford expensive eye tests or were unable to access medical facilities. Leena Rafeeq’s app aims to make eye screening more accessible and affordable, especially in developing countries.

Leena Rafeeq started developing the app at the age of ten, and it took her over a year to complete. During this time, she learned programming and machine learning skills to develop the algorithm required for the app.

The app has received widespread recognition, and Leena Rafeeq has received numerous accolades for her impressive achievement. In 2021, she was invited to speak at the annual Dubai Women’s Business Summit, where she shared her experience of developing the app.

Leena Rafeeq’s Ogler EyeScan is a testament to the power of technology and how young innovators can use it to solve real-world problems. Her creation can make a significant impact in the world of healthcare, particularly in terms of early detection and treatment of eye conditions. Her story is an inspiration to many young girls and boys who aspire to make a difference in their communities through innovation and technology.

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#AIforhealthcare #YoungInnovator #EyeHealth #MachineLearning #DubaiInnovates #MedicalTechnology

#HealthTech #EarlyDetection #GirlsInSTEM #AccessibleHealthcare