At HootIQ, we developed a predictive model using the Diabetes Prediction Dataset from Kaggle to estimate an individual’s risk of developing diabetes based on medical attributes like age, BMI, glucose levels, and blood pressure. By applying logistic regression, we identified the factors that most strongly influence diabetes risk. We provided data-driven insights to help healthcare providers take early, preventive action and optimize patient care.