A specialized Regulatory Compliance AI designed to help financial analysts navigate and interpret the complex PRA Rulebook. The tool uses Retrieval-Augmented Generation (RAG) to provide accurate, source-cited guidance on COREP (Common Reporting) requirements, specifically focusing on capital adequacy and reporting templates.

LLM‑assisted PRA COREP reporting assistant

LLM-assisted PRA COREP reporting assistant (prototype)

LLM-assisted PRA COREP regulatory reporting assistant

Prototype for an LLM-assisted PRA COREP regulatory reporting assistant

LLM-assisted PRA COREP reporting assistant (C 01.00 – CET1)

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Built a fully functional LLM-assisted PRA COREP Reporting Assistant prototype. The application demonstrates end-to-end workflow from natural language question to RAG retrieval to LLM processing to populated COREP C01 template with validation and audit trail.

LLM-assisted PRA COREP reporting assistant with RAG, validation, and audit trail

LLM-assisted PRA COREP reporting assistant9prototype)

No description available

This is just a prototype for AKOIN as an assignment

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LLM-assisted PRA COREP Own Funds reporting assistant prototype with semantic retrieval, structured extraction, validation, and audit traceability.

This project is a prototype **LLM-assisted regulatory reporting assistant** designed to support banks preparing **PRA COREP regulatory returns**.

Streamlit prototype: LLM-assisted PRA COREP Regulatory Reporting Assistant with RAG citations, structured JSON outputs, validation, and exportable audit logs.