<?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/73ba4d3e56324cc698a91f7c3c2affcc&quot; frameborder=&quot;0&quot; width=&quot;1660&quot; height=&quot;1245&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1245</height><width>1660</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1245</thumbnail_height><thumbnail_width>1660</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/73ba4d3e56324cc698a91f7c3c2affcc-d1298b96681155fe.gif</thumbnail_url><duration>118.699</duration><title>Building a Video Intelligence Pipeline with AI Tools 🚀</title><description>Hey, I&apos;m Anish from Austin, and I wanted to share my video intelligence pipeline that I built using Next.js and FastAPI. It allows users to input TikTok or YouTube short links, and it processes the videos to extract views and transcriptions using YTDLP and Whisper. I also implemented a vector database to search for specific content, like videos of a blue Razer, which you can see in action. I think this approach could be really effective for handling large datasets, similar to what ShofoAI is doing. I&apos;d love to hear your thoughts on this idea!</description></oembed>