This project is a machine learning classifier designed to help parents assess their child's digital habits. By inputting key information—such as age, educational vs. recreational screen hours, and observed health impacts—the model instantly predicts whether the child's screen time is within a healthy range. The user-friendly web interface provides a clear, color-coded result, empowering parents to make informed decisions about their children's digital well-being.