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4 courses
83 practices
10 hours
Design and build a smart, AI-powered cooking API with Node.js by modeling a scalable database, creating rich retrieval and search endpoints, generating structured recipes with AI, and adding features like reviews, text-to-speech, and data export for a polished backend experience.
Cooking App Structure & Database Modeling with Node.js
4 lessons
19 practices
Build a solid foundation for your AI cooking assistant with a modular Express + TypeScript app. Learn route modules, a clean config, and Prisma models for recipes, ingredients, and reviews. Set up SQLite, add CLI tools for DB management, and create a clean, scalable, production-ready backend.
Building the API: Retrieval, Search, and Filter with Node.js
4 lessons
22 practices
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.
Recipe Generation & Extraction with AI and Node.js
5 lessons
25 practices
Add intelligence to your app using OpenAI’s SDK. Generate structured recipes from ingredients with prompt templates, call the API, and process outputs. Build a script to extract recipes from messy HTML and store them cleanly.
Final Additions to our Smart Cooking API with Node.js
3 lessons
17 practices
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.
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