<?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/26866623e6284619b53000cf4f1804f8&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/26866623e6284619b53000cf4f1804f8-76bc23fb376066c9.gif</thumbnail_url><duration>240.816</duration><title>Building a Powerful Local Educational Assistant with AI Tools 🚀</title><description>In this video, I demonstrate how I built a powerful local educational assistant using the EdiGN library and Claude&apos;s model context prototype. The assistant features multiple AI tools, including MCQ generation, multimedia-based questions, and image description capabilities. I walk you through the setup process, including cloning the repository, setting up a virtual environment, and adding an API key. I also showcase how the assistant interacts with the MCP server to generate responses based on prompts. I encourage you to explore these features and consider integrating them into your own projects.</description></oembed>