{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/2b04bcdc7e954f4e830f4fa520db6697\" frameborder=\"0\" width=\"1440\" height=\"1080\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1080,"width":1440,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1080,"thumbnail_width":1440,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/2b04bcdc7e954f4e830f4fa520db6697-347d4018fc29cda9.gif","duration":248.214,"title":"Interpretable Lead Scoring ML System Demo 🚀","description":"Hi, I am Amitesh. In this Loom, I built a machine learning based lead scoring and action system for a SaaS funnel, where leads vary in intent and quality. I extract simple interpretable features like message length, presence of keywords like price, buy or demo, urgency indicators, and spam indicators like click, then feed them into a lightweight logistic regression model. The script reads a CSV from website form inputs and classifies leads in about 2 to 5 seconds, triggering actions based on the prediction. There is no specific action requested from viewers."}