<?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/602fcd96bca4429492afd39d6b67f86a&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/602fcd96bca4429492afd39d6b67f86a-e23459f2f84ba225.gif</thumbnail_url><duration>427.209</duration><title>sankshep</title><description>In this video, I showcase a prototype for an MVP audio transcript summarizer. The tool allows selection of the company and quarter for summarization. It demonstrates waveform visualization, named entity recognition, and simple/detailed summaries. No action requested.</description></oembed>