For this challenge we are looking to implement a quick-search functionality that mimics the macOS Spotlight feature. In case you are not familiar with this feature; it is a neat little UI component that allows you to quickly search for relevant content based on a search term you input.
Here is a screenshot of it in action.
For our challenge we are looking to replicate a similar functionality but in the browser with React that searches against a predetermined list of objects.
You will need to ensure you have node installed. If you need to install you can visit
https://nodejs.org/en/ and just download the LTS version.
You can then run npm install to install all dependencies required to run the app.
Once all dependencies are installed, you can start your dev process using
npm start
This should have taken you to the landing page with requirements/instructions required to complete the challenge.
To simulate API responses that you would receive from a server, there is an included
API.js file. This file includes a search(<term>) function that will return an array
of results given a term.
The dataset is just a simple collection of popular ML models. For your implementation you can aim to represent the data in your implementation in something similar to this:
.-----------------------------------------------.
| <id> - by: <author> <type> |
| Updated: <modified date> |
`-----------------------------------------------`
This challenge is meant to be somewhat open-ended. Feel free to make assumptions and unblock yourself. Just make sure to make a note of all the assumptions as code comments.