<?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/f0501da8a36848ef9ff52107da7ab9d3&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/f0501da8a36848ef9ff52107da7ab9d3-00001.gif</thumbnail_url><duration>258.02699999999993</duration><title>Python Web Application Development</title><description>In this video, I demonstrate the integration of powerful libraries in Python to create a web application for optical character recognition. Using Flask, Google CloudVision, and PyMongo, we extract specific information from images and store it in a MongoDB database. Action requested: Watch the demo video for a detailed walkthrough.</description></oembed>