video1.0<iframe src="https://www.loom.com/embed/861d222a5c6c42eebe974e151d40e96a" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/861d222a5c6c42eebe974e151d40e96a-dbb1230526bd9192.gif174.263In this Loom, I share my AI powered talent scouting and engagement agent built in Streamlit. The main problem I address is not only matching candidates to the job requirements but also identifying candidates who are actually interested, using two scores, match score and interest score. For a sample machine learning engineer role with Python, SQL, PyTorch, 2 to 4 years, and remote India, the system extracts the required skills and generates a ranked shortlist with explanations. I also personalize outreach subject and messages per candidate and combine final score as 0.65 times match score plus 0.3 times interest score. No action is specifically requested from viewers.