<?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/77024a6cbd94427289a1f5dee7cb867a&quot; frameborder=&quot;0&quot; width=&quot;1108&quot; height=&quot;831&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>831</height><width>1108</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>831</thumbnail_height><thumbnail_width>1108</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/77024a6cbd94427289a1f5dee7cb867a-4767901f0a123e1b.gif</thumbnail_url><duration>310.83</duration><title>Demonstrating a Concurrent Machine Learning Project Implementation 🚀</title><description>Hi everyone, I&apos;m Muhammad Manip, a Senior Machine Learning Engineer with six years of experience. In this video, I present a demo project assigned to me by Cambio Amal, showcasing a machine learning application with a backend and frontend structure. I demonstrate the concurrent execution of two user sessions where each session can perform tasks simultaneously, such as searching for weather information. I also highlight additional functionalities like creating and deleting user sessions for a seamless experience. Please take a look at the project repository on my GitHub for more details.</description></oembed>