Building an AI Cooking Helper with Flask | CodeSignal Learn

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intermediate

Building an AI Cooking Helper with Flask

Software Engineering

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4 courses

85 practices

11 hours

Build an AI-powered cooking assistant with Flask. Learn backend design, SQLAlchemy, and RESTful APIs for recipes and reviews. Use OpenAI to generate recipes, extract from HTML with prompt engineering, add Text-to-Speech, and automate workflows with Python.

Earn a shareable

Certificate of Achievement

Verified skills you'll gain

INTERMEDIATE

API Integration, Design, & Development

INTERMEDIATE

Data Management and Database Querying

INTERMEDIATE

Server-Side Programming

Tools you'll use

Flask

Python

Course 1

Cooking App Structure & Database Modeling

4 lessons

21 practices

Build a solid foundation for your AI cooking assistant with a modular Flask app. Learn the app factory pattern, Blueprints, and SQLAlchemy models for recipes, ingredients, and reviews. Set up SQLite, add CLI tools for DB management, and create a clean, scalable, production-ready backend.

Course 2

Building the Recipe API: Retrieval, Search, and Filter

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, turning your backend into a dynamic, queryable service.

Course 3

Recipe Generation & Extraction with AI

5 lessons

25 practices

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.

Course 4

Final Additions to our Smart Cooking API

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. These features make your assistant ready for real users seeking culinary inspiration.

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