Data Policy Agent
Link to open source: https://github.com/shubhhjhaa/project/tree/main
Link to Live Project: https://project-vmkn.vercel.app/
Data Policy Agent — Turning Compliance from a Headache into Auto-Pilot
Every company today sits on mountains of data — customer records, transactions, employee info. And with regulations like GDPR, HIPAA, CCPA breathing down your neck, one slip-up can mean million-dollar fines and broken trust.
Here's the problem: compliance teams are drowning. They're manually reading 50-page policy documents, trying to remember which database column violates what rule, and hoping nothing falls through the cracks. It's exhausting, error-prone, and frankly... not scalable.
That's where Data Policy Agent comes in.
We built an AI-powered system that does what a team of compliance analysts would take weeks to do — in minutes:
-
Upload your policy PDF (GDPR guidelines, internal data retention policy, whatever) — our system reads it, understands it, and automatically extracts the actual rules hiding in all that legal jargon.
-
Connect your database — SQL, Postgres, MongoDB, doesn't matter. We plug in and scan your real data against those rules.
-
Get actionable violations — not just "something's wrong" but exactly what's wrong, where, why it matters, and how to fix it. We even tell you which compliance frameworks (GDPR, HIPAA, PCI-DSS) are affected.
-
Human-in-the-loop review — because AI shouldn't make final calls on sensitive decisions. Critical violations get routed to the right people for approval.
-
Continuous monitoring — set it and forget it. We keep watching your data 24/7 and alert you the moment something goes out of compliance.
Why is this different?
Most compliance tools are just fancy checklists. They tell you what you should do but can't actually check if you're doing it.
We bridge the gap between policy documents sitting in a folder and the live data flowing through your systems. It's the difference between reading a fire safety manual and having an alarm that actually detects smoke.
This build was uploaded as a hackathon project








