Building an AI Cooking Helper with Flask

Build essential API endpoints to make your app interactive and data-driven. Retrieve single, random, or popular recipes, browse with pagination, and filter by ingredients. Add serialization, error handling, and a script to remove duplicates, turning your backend into a dynamic, queryable service.

Add intelligence to your app using OpenAI’s LLMs. Learn to generate structured recipes from ingredients with prompt engineering, render dynamic prompts, call the API, and process outputs. Build a script to extract recipes from messy HTML and store them cleanly. Your app will now auto-generate and parse recipes.

Add final touches to your app for better interactivity. Use gTTS for Text-to-Speech recipe playback, let users submit reviews and ratings, and list all ingredients. Build a script to export recipes to CSV. These features make your assistant ready for real users seeking culinary inspiration.