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System Architecture

Frontend = Librarian
Backend = Curator

graph TD
    A[Frontend UI] -->|Mood Query| B[Flask Backend]
    B -->|Prompt Engineering| C[LLM / AI Service]
    C -->|Generated Insight| B
    B -->|JSON Response| A
    A -->|Book Data| D[Google Books API]
    A -->|Persistence| E[LocalStorage]
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This architecture demonstrates the separation of concerns:

  • Frontend UI: Client-side mood queries and book interactions
  • Flask Backend: Request handling, validation, and orchestration
  • LLM/AI Service: Intelligent note and recommendation generation
  • Google Books API: Book metadata and availability
  • LocalStorage: Persistent client-side caching

See the API docs for endpoint details: api.md