<?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/bf221aa72fd34954914330847753d244&quot; frameborder=&quot;0&quot; width=&quot;1668&quot; height=&quot;1251&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1251</height><width>1668</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1251</thumbnail_height><thumbnail_width>1668</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/bf221aa72fd34954914330847753d244-54822b257425dcfd.gif</thumbnail_url><duration>279.723</duration><title>Weather-Based Clothing Recommendation App Overview 🌦️</title><description>In this video, I introduce my project from Print 11, where I built a website that recommends clothing based on current weather conditions using API functionality, JavaScript, HTML, and CSS. The site features a toggle for Celsius and Fahrenheit, displays the current location and temperature, and allows users to add personalized clothing items. I learned how to set up a mock server and create multiple components for the app, which was a new challenge for me. One improvement I would suggest is to add constraints on image sizes when users upload their clothing items. I encourage you to check out the website and provide any feedback!</description></oembed>