ML-For-Beginners/4-Classification/4-Applied/README.md

# Build a Cuisine Recommender Web App

In this lesson, you will build a classification model using some of the techniques you have learned in previous lessons and with the delicious cuisine dataset used throughout this series. In addition, you will build a small web app to use a saved model, leveraging Onnx's web runtime.

One of the most useful practical uses of machine learning is building recommendation systems, and you can take the first step in that direction today!

[![Recommendation Systems Introduction](https://img.youtube.com/vi/giIXNoiqO_U/0.jpg)](https://youtu.be/giIXNoiqO_U "Recommendation Systems Introduction")

> 🎥 Click the image above for a video: Andrew Ng introduces recommendation system design
## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/23/)

In this lesson you will learn:
- 
### Introduction

Describe what will be covered

> Notes

### Prerequisite

What steps should have been covered before this lesson?

### Preparation

Preparatory steps to start this lesson

---

[Step through content in blocks]

## [Topic 1]

### Task:

Work together to progressively enhance your codebase to build the project with shared code:

```html
code blocks
```

✅ Knowledge Check - use this moment to stretch students' knowledge with open questions

## [Topic 2]

## [Topic 3]

## 🚀Challenge

Add a challenge for students to work on collaboratively in class to enhance the project

Optional: add a screenshot of the completed lesson's UI if appropriate

## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/24/)
## Review & Self Study

## Assignment 

[Assignment Name](assignment.md)