video1.0<iframe src="https://www.loom.com/embed/e3af3c3f36574fe1b4d6e36c0e87f584" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/e3af3c3f36574fe1b4d6e36c0e87f584-e828ab6ad75acb14.gif258.022In 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.