Meayar
AI-powered medical credentials verification — 🥈 2nd Place
Tech Stack
Overview
meayar is a SaaS dashboard for compliance teams at hospitals, insurers, and digital health platforms that verifies a doctor's credentials in under 90 seconds. It wraps a multi-agent AI backend running an 8-step pipeline — OCR, authenticity forensics, and a cross-check against CNAS (Algeria's national health insurance registry) — and surfaces results through a real-time UI with SSE streaming. Compliance operators can trigger and monitor verifications live, review AI-flagged cases with an approve/reject/resubmit workflow, manage per-document extraction templates, and issue API keys for tenant integrations. Doctors upload credentials through a guided, token-authenticated public flow. Built with TanStack Start, React 19, shadcn/ui, and Tailwind CSS v4, deployed on Cloudflare Workers.
The Story
Background
Innobyte Club at Béjaïa organized a hackathon. I gathered my team and we traveled 240 km to get there. The theme we chose: how do you confirm someone is actually a licensed doctor? Algeria has no public official API for that — verifying a doctor today means paperwork and going through government offices in person.
Key Achievements
- Built the real-time verification dashboard with SSE streaming for live status updates
- Implemented the human-in-the-loop review flow (approve / reject / resubmit AI-flagged cases)
- Built the token-authenticated public upload flow for doctors
- Shipped on TanStack Start + shadcn/ui, deployed to Cloudflare Workers
- Placed 2nd out of the competing teams
Impact
meayar replaced a process that normally takes paperwork and a trip to a government office with an under-90-second AI-verified check — a real gap since Algeria has no public API for this today — which earned the team 2nd place.