<?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/dbbd2466828e4576aea28ac5d5ef2a76&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/dbbd2466828e4576aea28ac5d5ef2a76-0957e4f85052183d.gif</thumbnail_url><duration>444.685</duration><title>Building a Secure NLF Mock Draft Simulator with AI Integration 🚀</title><description>In this video, I walk you through my assignment for the NLF mock draft simulator, which I built using TechStack, Nexus, and React for both front-end and back-end development. I integrated Google Gemini for AI decision-making while ensuring secure LLM integration with Next.js. The UI is designed for clarity, featuring a three-column layout that helps users track their picks and team strategies effectively. I also discuss the architectural aspects and the fallback logic implemented to ensure smooth draft simulations. If you want to view the completed draft or start a new one, you can do so at the end of the video.</description></oembed>