Building an AI Cooking Helper with Flask & Codex

Overview

Build an AI-powered cooking assistant with Flask, guided by Codex as the coding assistant throughout. Use Codex to help design the backend, SQLAlchemy models, REST APIs, recipe generation, HTML extraction, TTS, reviews, and automation.

What you'll learn

Structure a modular Flask application with factories and Blueprints
Model and manage recipe data with SQLAlchemy and SQLite
Build REST APIs for recipe retrieval, search, filtering, and ranking
Integrate language models for recipe generation and extraction
Parse recipe content from HTML into structured data
Add text-to-speech, reviews, ingredient lists, and CSV export
Prompt, test, debug, and refine AI-generated code

Advantages and disadvantages

Advantages

University courses you can audit for free, with lectures, readings and practice quizzes.
A verified certificate from the university if you pay for it.
Self-paced: start any time.

Disadvantages

Graded assignments and the certificate need the paid track.
Audit access can expire a few weeks after the course ends.
Learning is free, but the certificate costs money.
Some parts (graded work, certificate) are paid.

Some points apply to every course of this kind; see how we rank.

Free to audit

Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
Paid: Graded assignments and the verified certificate (Certificate $55). Audit access may end after the course closes.

Before you start

Beginner: API Integration, Design, & Development (Codex, Flask, Python) Beginner: Data Management and Database Querying (Codex, Flask, Python) Beginner: Programming, Algorithms, and Data Structures (Codex, Flask, Python)

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