<?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/f69f5c5d31104c6190ac8b52b5f98612&quot; frameborder=&quot;0&quot; width=&quot;1440&quot; height=&quot;1080&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1080</height><width>1440</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1080</thumbnail_height><thumbnail_width>1440</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/f69f5c5d31104c6190ac8b52b5f98612-91a46a66ce013e0b.gif</thumbnail_url><duration>179.736</duration><title>AI-Driven Call Handling System Demo 🤖</title><description>Hi there! In this video, I showcase an AI-driven call handling system I developed that can process real-time human conversational voice queries and store data. I demonstrate the &quot;Ear Receptionist,&quot; a system for voice recording and customer information management, particularly for a pizza ordering system. I also discuss shared GPT analysis, voice services, a shared word application, and a custom knowledge base. If interested, I&apos;m ready to collaborate on your project with my experience and team.</description></oembed>