NihonKen is an AI-driven prefecture exploration platform that transforms how users discover Japan’s 47 regions. It blends curated geographical and cultural data with a conversational AI interface, enabling users to ask real-time, context-aware questions about destinations — from local cuisine and festivals to hidden travel experiences. The application leverages a retrieval-augmented approach to deliver accurate, personalized insights, offering a modern, user-centric alternative to static travel resources.

NihonKen addresses this by providing an AI-assisted discovery platform that allows users to explore Japan’s 47 prefectures through an interactive interface and ask natural-language questions to receive contextual insights on destinations, experiences, and travel planning.

A shared design system and component library built inside an Nx monorepo, serving three separate Angular and React applications. Includes automated visual regression testing, Storybook documentation, and a custom token pipeline from Figma to CSS.

Three teams, three codebases, three diverging UI implementations. This system consolidated shared components, established token governance, and reduced cross-team inconsistency by 80%.