Hiding in Your Eyes: A Glaucoma Detector

The Project

A showcase of an informative app that helps achieve an early diagnosis of Glaucoma based on straightforward questions and a machine-learning-based analysis of retina scan images. Users can learn about Glaucoma and receive suggestions after their diagnosis. This project was made with the help of PictoBlox.

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Education
Health
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Team Comments

We chose to make this project because...

To model an open and accessible tool for users to detect glaucoma, a disease that often does not get diagnosed. So, we hope to give patients a chance to treat the disease before they suffer from the consequences.

What we found difficult and how we worked it out

Training the AI was a lengthy and difficult process as it needs enough information to be able to detect the disease. At first, our idea changed multiple times as we could not find the proper dataset needed. We were able to create our project in the end with the help of our coding teacher who helped

Next time, we would...

If we had more time we may have added a professional help line or sources where users can access more information, help, or treatment if they have been diagnosed with glaucoma by the application.

About the team

  • Indonesia

Team members

  • Lana Katlyn Siswandi
  • Nathan Kevin Siswandi