<?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/de0851da43ab44e3a4de0e5e1923a533&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/de0851da43ab44e3a4de0e5e1923a533-e317e1731c0ccf88.gif</thumbnail_url><duration>642.9142</duration><title>Building an HR Agent with Resume Parsing and Interview Scheduling Features 🚀</title><description>Hi everyone, in this video, I walk you through the HR agent I built using a Fast API for the backend and a simple frontend. I demonstrate how to upload job descriptions and resumes, rank candidates based on their qualifications, and schedule interviews through Google Calendar. I also explain the resume parsing process, which uses both regular expressions and a fallback to LLM for accuracy. I encourage you to check out the features and functionalities of the system, and I would appreciate any feedback you might have.</description></oembed>