Building an AI Cooking Helper with Django

Implement the first set of read-focused API endpoints for your recipe database. You’ll add consistent JSON serialization, pagination, and robust validation/error handling, then expand into recipe discovery features like filtering by ingredients, returning steps as an array, and selecting random or top-rated recipes.

Add an LLM layer to generate and extract structured recipes. You’ll create a lightweight prompt templating system, integrate OpenAI calls behind a small wrapper, and expose an endpoint that generates recipes from ingredients. You’ll also build a CLI workflow to extract a clean recipe from messy HTML and store it into your Django database.

Round out the backend with interactive features and utilities: generate Text-to-Speech audio for recipe playback, let users submit ratings, list available ingredients, and export stored recipes to CSV for portability. You’ll focus on practical API finishing touches and simple scripts that improve usability and maintainability.