RegImpact AI - Healthcare Regulation Impact Analyzer

landing page
dashboard
saved reports
report
practice profile
action items and deadlines
action item tracking

Inspiration

Over half of all physicians work in practices with 10 or fewer providers, yet face the same regulatory maze as massive health systems. HHS published 3,506 regulatory documents in 2024. That's $39 billion in compliance costs hitting everyone equally.

Big organizations have compliance teams. Small practices google regulations at midnight. Perplexity's real-time search could level this playing field.

What it does

RegImpact AI transforms dense federal regulations into clear action plans in seconds. Drop in any regulation URL, upload PDFs or screenshots, and get personalized guidance based on your practice type.

You'll receive structured reports with priority levels, deadlines, and official source citations, all stored for future reference.

How I built it

Next.js 15 frontend with TypeScript and Tailwind CSS. Perplexity's r1-1776 model handles AI analysis with structured JSON responses. Mistral AI OCR processes documents, while PostgreSQL + Prisma stores data. Clerk manages authentication on Vercel's infrastructure.

Practice profiling captures organization type, specialty, and tech stack to contextualize every analysis.

Challenges I ran into

Government PDFs are formatting nightmares. Getting consistent AI responses required extensive prompt engineering. Balancing detailed practice contextualization without overwhelming users. Ensuring sub-10-second performance while processing large documents.

Accomplishments that I'm proud of

✅ Perplexity integration with domain filtering
✅ Multi-format document processing pipeline
✅ Practice-specific recommendations
✅ Sub-60-second analysis times
✅ Scalable data architecture