AGENTIC AI PROJECTS
XRayVision AI.
An imaging workflow that brings image uploads, AI-generated reports, scan history, and analytics together.
MY ROLE
Full-stack development & AI integration
FOCUS
AI medical imaging application
TOOLS & TECHNOLOGIES
React · FastAPI · Python · Supabase · Docker
The problem
An image-analysis experience needs to connect uploads, model outputs, reporting, and previous scans in one usable interface.
The solution
A React frontend connects to a FastAPI backend that runs three vision models in parallel and uses an LLM to synthesize their outputs into a report.
What I built
- Built the upload, scan history, PDF export, and analytics experience.
- Connected the frontend to parallel vision-model inference and report generation.
- Stored results in Supabase with per-user row-level security and JWT authentication.
What it brings together
An end-to-end AI imaging application, presented as a software project rather than a claim of clinical validation.