Case study · AI product and API

Clear insights, honest system boundaries.

An interactive sentiment dashboard paired with a Flask architecture where validation, database constraints, security behavior, and tests are part of the product.

Product experience

The public demo turns sample comments into visual sentiment, confidence, distribution, and trend views. Example states are interactive and responsive, while their origin remains explicit.

Responsible AI boundary

OpenAI tokens are intentionally disabled in the public deployment. It uses clearly labeled illustrative data and does not claim to perform live AI classification. The complete Flask application supports a privately configured OpenAI analyzer and a deterministic local fallback through the same contract.

Engineering focus

Input validation, explicit API behavior, persistence constraints, CSRF protection, typing, coverage gates, and dependency checks protect the boundaries around each result.