<?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/d41200b45128489193e3bc342a1cf77e&quot; frameborder=&quot;0&quot; width=&quot;1110&quot; height=&quot;832&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>832</height><width>1110</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>832</thumbnail_height><thumbnail_width>1110</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/d41200b45128489193e3bc342a1cf77e-0e33f9211f3d24ba.gif</thumbnail_url><duration>286.643</duration><title>Developing an AI-Powered Speech Coaching Application</title><description>In this video, I walk through my midterm demo for the AI Maker Space, where I&apos;m developing a speech coach application aimed at helping users practice public speaking. Currently, we have a basic chatbot that utilizes a knowledge base and can answer specific questions, but we plan to enhance it with tailored feedback and progress tracking in the future. The architecture involves using Next.js for the front-end and Fast API for the back-end, with a single agent connected to multiple tools for information retrieval. I encourage viewers to think about how this application can evolve and to provide any feedback or ideas they might have as we move towards incorporating more advanced features.</description></oembed>