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This book was made possible by our team's collaboration of many skills and knowledge as we explored the relationship between machine learning, women's health, and nutrition. With an emphasis on disorders including PCOS, fibroids, and dysmenorrhea, this book examines the substantial influence that dietary practices have on gynecological health. By providing insights into how dietary habits can affect the prevention and management of chronic health issues, it seeks to close the knowledge gap in the field. We aim to identify intricate health trends using machine learning and offer evidence-based remedies that have the potential to revolutionize women's healthcare.This initiative was primarily motivated by the increasing incidence of gynecological illnesses, many of which are not sufficiently treated in the medical community. With the use of technology and scientific knowledge, this book provides a thorough explanation of the crucial role that diet plays in regulating the health problems of women. For women, academics, and healthcare professionals, we also intend to provide useful, actionable findings, particularly in underserved areas where access to quality care may be limited.