<?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/e2c98321cf0f48b69455ce2a091ebe58&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/e2c98321cf0f48b69455ce2a091ebe58-639c406bb50508b6.gif</thumbnail_url><duration>491.003</duration><title>Demo of Our Innovative Ride and Food Assistant 🤖</title><description>In this demo video, I walk you through our assistant designed for managing rides and food orders, highlighting its features like geolocation, ride history syncing, and food recommendations. I demonstrate how to connect accounts for Uber and Swiggy, handle two-factor authentication, and utilize predictive models based on user behavior. The assistant suggests rides and food options based on past activity, and I explain how feedback on suggestions improves accuracy over time. I encourage you to explore the assistant&apos;s capabilities and provide feedback on any suggestions that don&apos;t meet your needs. Thank you for watching!</description></oembed>