11-year-old Kerala girl creates portable AI machine Eyeagnosis to detect eye diseases using just a smartphone camera!"

The exceptional young inventor, whose name is Leena Rafeeq, is an 11-year-old girl from Kerala who created the AI machine Eyeagnosis device. At such a young age, her ground-breaking technology employs. AI algorithms to accurately identify eye disorders with a 70% accuracy rate. Her work has received great commendation from the general public. And has drawn attention to the ability of young minds to make contributions to the field of medical technology. Many people find inspiration in her narrative, which also serves as a reminder that creativity and invention are ageless.

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What is the Name of this Device?

The “Eyeagnosis” device is a portable, handheld device that analyses retinal imaging data to find symptoms of common eye illnesses. For Example glaucoma and diabetic retinopathy. It functions by employing a smartphone camera to take a photo of the patient’s eye. Which is then analyzed by the device’s AI algorithms.


  • The portability of Eyeagnosis is one of its most important benefits. Diagnosis is a portable eye examination tool that may be used in remote locations without access to medical facilities, in contrast to typical eye examination equipment, which is cumbersome and expensive. This makes it the perfect tool for early eye illness detection and treatment, which is frequently essential for maintaining eyesight.
  • The affordable price of Eyeagnosis is another benefit. Because it is manufactured from readily available components, it is inexpensive and available to those who might not be able to pay for conventional eye diagnostic tools or medical care. Especially in developing nations with limited access to medical resources, this may revolutionize how eye problems are detected and treated.


  • However, there are significant drawbacks to the Eyeagnosis tool as well. One is that its accuracy rate of 70% is still insufficient to completely replace current eye testing tools. The device also depends on the quality of the photographs taken by the smartphone camera, which might vary depending on elements like the lighting and camera.
  • The Eyeagnosis device nonetheless represents a substantial advancement in medical technology despite these drawbacks. Its creation by an 11-year-old girl is proof of the ability of imagination, inventiveness, and technology to improve the world.


In conclusion, the AI machine Eyeagnosis gadget has the potential to be a major advance in medical technology since it might completely alter how eye disorders are identified and treated. Significant benefits of this cutting-edge technology include portability, affordability, and the capacity to serve underprivileged regions. However, more testing and development are required to improve its precision and guarantee that it is dependable and secure in a clinical context.

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