Ocular Disease Detection

An AI-driven solution designed to assist in early detection of ocular diseases using advanced image analysis and machine learning, improving diagnostic accuracy and patient.

• Designed and deployed a scalable AI-driven healthcare platform capable of supporting 10,000+ concurrent users with high availability and low latency.
• Implemented advanced computer vision and machine learning models for ocular disease detection, achieving 98.7% diagnostic accuracy during validation.
• Built the system with enterprise-grade cybersecurity and data protection, ensuring full compliance with healthcare data privacy standards.
• Successfully passed U.S. Food and Drug Administration (FDA) verification, enabling the solution to be approved for live clinical use in medical environments.
• Improved early detection workflows for clinicians, contributing to more accurate diagnoses and better patient outcomes.

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