Building an AI Cooking Helper with Node.js

Overview

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.

Syllabus

Course 1: Cooking App Structure & Database Modeling with Node.js
Course 2: Building the API: Retrieval, Search, and Filter with Node.js
Course 3: Recipe Generation & Extraction with AI and Node.js
Course 4: Final Additions to our Smart Cooking API with Node.js

Courses

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2 hours
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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.
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3 hours
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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.
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3 hours
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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.
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2 hours
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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.