<?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/c322926d4fff4ba684481389b3af9d2a&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/c322926d4fff4ba684481389b3af9d2a-f9679b1980286160.gif</thumbnail_url><duration>325.676</duration><title>Delight_Kraus_ProjectPitch_SE_Project_React.</title><description>In this video, I provide an overview of my ongoing project, SE Project React, which focuses on building a weather application designed to help users choose appropriate clothing based on current weather conditions. The app features real-time data from the OpenWeather API, allowing users to toggle between Fahrenheit and Celsius, and filter clothing items based on temperature ranges. I&apos;ve faced challenges, such as formatting issues and visibility of buttons, and I&apos;ve utilized AI for debugging and learning. I believe the app has great potential, especially for users with intellectual challenges, and I plan to add more features like profile editing and additional weather conditions. I welcome any feedback and suggestions to enhance the app&apos;s functionality.</description></oembed>