Participant Detail

Research Title

OcuScan: A Web-Based Digital Ecosystem for Integrated Early Eye Screening and Preventative Care

Research Abstract

The primary objectives of this study are: (1) To architect and integrate a comprehensive, web-based digital ecosystem that utilizes camera-based diagnostic tools for a functional and seamless early eye screening experience, and (2) To evaluate the extent to which the OcuScan platform meets user expectations regarding usability, reliability, and its impact on enhancing public awareness of preventative eye care. This Research and Development (R&D) study was conducted in three systematic phases: (1) Material preparation and digital characterization, utilizing knowledge engineering based on WHO and IAPB clinical standards; (2) Experimental prototyping & development, architecting a web-based ecosystem integrating YOLO CNN and Gemini API; and (3) Validation & data analysis, employing black box testing, expert medical validation, and user acceptance testing. Results demonstrate that (1) The study successfully developed a web platform integrating YOLO CNN for screening and the Gemini API for the "VisionBot" chatbot, yielding a 100% technical pass rate in black box testing and clinical validation as highly beneficial for early screening; and (2) User evaluations categorize the platform's usability and reliability as "High," demonstrating that OcuScan effectively meets user expectations and enhances public health awareness by connecting early detection to a clear, actionable patient pathway.