video1.0<iframe src="https://www.loom.com/embed/5f24ca2c2968414dbf19da850bfef033" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/5f24ca2c2968414dbf19da850bfef033-f890cbe65335c71d.gif264.96In this video, I present my insurance premium prediction project, where I utilize machine learning to forecast premiums based on customer health data, including factors like age, height, weight, and health conditions. I built interactive dashboards to visualize insights and deployed a Streamlit app for live predictions, making it accessible for both insurance analysts and customers. I trained various models, with the random forest model achieving the best accuracy. I invite you to explore the app by inputting details, such as a 40-year-old person weighing 80 kilograms, to see the estimated premium. Your feedback and engagement with the app would be greatly appreciated.