{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/e3af3c3f36574fe1b4d6e36c0e87f584\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/e3af3c3f36574fe1b4d6e36c0e87f584-e828ab6ad75acb14.gif","duration":258.022,"title":"AI Talent Scouting Agent for Candidate Screening","description":"In this Loom, I walk through my AI Talent Scouting Agent and Intelligent System that automates recruiter-style candidate screening, engagement, and ranking. I enter a job description and required skills like SQL, Excel, Data Visualization, and Python, and the system converts unstructured text into structured role, skills, and experience, then runs a multi step pipeline to match candidates, simulate conversations, and rank them with match score and interest score. I also show explainable candidate profiles with missing skills and decision rationale. I demonstrate adaptability by switching roles to a software engineer needing Python or Java, REST APIs, and Docker, and the ranking updates dynamically. No viewer action was requested."}