About VIGIL

VIGIL is a multi-agent AI system that helps university students detect healthcare billing fraud, discover unused insurance benefits, and make informed decisions about their coverage.

Privacy Notice

VIGIL uses synthetic data for demonstration purposes. No real patient data is stored or processed. Receipt images uploaded during the demo are analyzed in-memory and are not retained after the session ends. All provider profiles, student records, and claims data shown in this application are entirely fictional.

Responsible AI Statement

Fraud flags generated by VIGIL represent potential billing anomalies identified through automated analysis against the Ontario Dental Association (ODA) Suggested Fee Guide. They are not accusations of wrongdoing. Human approval is required before any action is taken, and students retain full control over whether to escalate, dispute, or dismiss any flagged case. VIGIL is designed to empower students with information, not to replace professional judgement.

Team

MA

Marco Ayuste

Full-Stack Developer

PK

Pera Kasemsripitak

Frontend Engineer

AC

Aahir Chakra

UI/UX Designer

PL

Peter Lee

Backend Engineer

Tech Stack

Next.js 14ReactTailwind CSSFastAPILangGraphGoogle GeminiSupabaseTypeScriptPythonRecharts

Built for GenAI Hackathon 2026 | University of Toronto