GlucoVision AI

Architecture & Overview

Managing chronic conditions requires actionable insight. I built GlucoVision to bridge the gap between complex clinical lab analytics and accessible AI diagnostics, providing a centralized, secure platform for proactive health management. The core features include RetinaEngine AI, a custom-built deep learning bridge (ResNet50) that analyzes retinal scans for early signs of vascular damage, and ReportParser OCR, an intelligent parsing system that extracts critical HbA1c metrics from physical lab documents. This project represents my commitment to healthcare innovation, utilizing Next.js, FastAPI, PyTorch, and Supabase to create a tool that is as intuitive as it is powerful.

Key Capabilities