Regulation Lookup Assistant with Plain-Language Explanations

Added Nov 2025 3 design docs

Banking regulation governs everything from how accounts are opened to how suspicious transactions are reported, yet the primary texts are impenetrable to the students and junior staff who most need them. An assistant that retrieves the relevant rule and explains it simply makes compliance knowledge accessible instead of intimidating. The intern builds this assistant as a streamlit application in python. A corpus of banking regulations and guidance documents is embedded into a vector database, and when a user asks a question, such as what identification is required to open an account, a retrieval-augmented generation pipeline locates the most relevant regulatory passages. Generative AI then explains the rule in simple terms, stating what it requires, who it applies to, and why it exists, while the interface shows the retrieved source text alongside the explanation so users can check the answer against the actual rule. Grounding through RAG is essential here, since invented regulatory detail would be worse than no answer. The project teaches retrieval over authoritative texts, faithful plain-language explanation, and the transparency patterns that responsible AI tools use in legal and compliance settings.

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