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MOBILE VISIONARY: EMPOWERING RETINAL HEALTH WITH FUNDUS PHOTOGRAPH CLASSIFICATION THROUGH A WEB BASED APPLICATION

We are a dedicated team of innovators and problem-solvers from the Bachelor of Science in Information Technology, specializing in Web and Android Mobile Development at Laguna State Polytechnic University. Our capstone project, the Fundus Eye Disease Detector, is a testament to our commitment to making a positive impact on society, particularly in the realm of healthcare.

Our application leverages advanced machine learning algorithms to analyze images of the fundus, or the interior surface of the eye, to identify signs of disease with an impressive 89% accuracy rate. We believe that everyone deserves access to quality healthcare, and early detection is a critical component of that.

As we continue to refine our application and expand its capabilities, we remain focused on our mission to make a difference in the lives of people with vision problems. We are eager to collaborate with healthcare professionals, organizations, and communities to bring our solution to those in need.