<?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/e4cdc5b60a3949c2bf5c32bf5caca297&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/e4cdc5b60a3949c2bf5c32bf5caca297-d75606aa306ed98f.gif</thumbnail_url><duration>136.5675</duration><title>AI-Driven Driving Theory Assistant</title><description>In this video, I present our Hackathon project where we developed an AI personalized assistant to make learning driving theory more engaging. By using geospatial images from the user&apos;s city, we generate tailored questions that enhance interaction and relevance. Currently, we have implemented this for Paris, but it works well for other countries too. I would love your feedback on the concept and any suggestions for improvement.</description></oembed>