Data Compliance agent
Link to open source: https://github.com/ManishKudtarkar/Data-Policy-Agent.git
This project is built around the concept of Automated Regulatory Intelligence. It solves a major pain point for businesses: the gap between "what the rules say" (legal PDFs) and "what the data shows" (company databases).
In a traditional company, compliance officers have to manually read 100-page policy documents and then manually check spreadsheets or databases to see if any rules were broken. This project replaces that manual process with an AI Agent that can read, think, and execute audits.
🌟 Core Value Proposition
The project essentially builds a "Digital Compliance Officer" that performs three main tasks:
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Semantic Translation: It uses an LLM (Gemini) to "read" legal prose and translate it into logic (SQL queries).
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Continuous Enforcement: It doesn't just check once; it monitors the database continuously for new violations.
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Explainable Auditing: For every flagged record, it doesn't just say "Violation"; it provides a human-readable justification based on the specific section of the policy it read.
📊 The "Fusion" Strategy
To make this project robust and "production-ready," you are combining three high-value datasets to cover multiple compliance domains:
This build was uploaded as a hackathon project
