<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/b98860e5a4a049eca593f3704da6fe0d&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/b98860e5a4a049eca593f3704da6fe0d-full-1661103751055.jpg</thumbnail_url><duration>449</duration><title>Bookworm, capstone project at BrainStation Bootcamp </title><description>Bookworm is a web app for collecting and tracking the reading of NYT Best Seller books while allowing the user to create their own curated lists, as well as comment and review the titles. The app also allows the visualization of other user readings and lists suggestions, creating a sense of community and effectively organizing past, current and upcoming readings.
For creating the full-stack app I used React, Node Js, Express and MySQL, as well as Sass and flex-box for styling. It is completely responsive for mobile, tablet and desktop views. Some of the libraries I used were Axios, Knex and JWT . The app was connected also to the Best Seller API of the New York Time and it was deployed in Heroku. You can find it at thebookworm.club website.</description></oembed>