This project explores the concept of biorhythms, a pseudoscientific model that attempts to predict an individual's physical, intellectual, and emotional states using mathematical sine waves. The code, written in Python, calculates and visualizes these cycles based on user-defined dates. The resulting graph provides a visual representation of the predicted highs and lows in each cycle, offering a unique perspective on personal energy levels and potential fluctuations. While biorhythms lack scientific validation, they provide an interesting framework for exploring the cyclical nature of human experience.