video1.0<iframe src="https://www.loom.com/embed/b6aff3dd163a4f5292f33cd744231ebd" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/b6aff3dd163a4f5292f33cd744231ebd-4f04333ba615c460.gif196.198In this presentation, I discuss our project focused on predicting BMI using basic health metrics like weight, age, and lifestyle indicators. Our goal is to categorize individuals into underweight, normal weight, overweight, or obese, which is crucial for early health assessment and preventive care. We believe that our predictive models can help organizations like health providers and insurance companies identify risks and make informed decisions. I emphasize that a small number of simple health metrics can effectively predict BMI categories, supporting early health monitoring. I invite you to consider how these insights could be applied in your work to enhance health awareness and risk management.