Everyday Banking Scenario Explainer with Step-by-Step Output

Added Nov 2025 3 design docs

When something goes wrong with an account, such as a lost card, an unrecognized charge, or a bounced payment, most people do not know the correct sequence of actions, and panic makes bank help pages hard to follow. A tool that takes a described situation and returns calm, ordered instructions meets people at exactly that moment. The intern builds the explainer in python. A user selects or types a simple banking scenario, and a langgraph flow moves the request through interpretation, step planning, and explanation stages. Generative AI through openai models produces the final guidance: a numbered sequence covering immediate actions like blocking the card, follow-ups like requesting a replacement and monitoring the account, and prevention tips, each explained in reassuring plain language. An agentic-ai layer coordinates the stages so the output is complete and ordered rather than a loose paragraph of advice. As a first generative AI project, it teaches scenario interpretation, structured multi-step output design, and workflow automation, and gives the intern a relatable demo: software that turns a stressful banking moment into a clear checklist.

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