Crimson Insights: The Menstrual Wellness

This paper introduces Crimson Insights, an AI-driven wellness platform designed to transform the menstrual health experience through intelligent recommendations and accessible tools. While menstruation-related discomfort affects nearly 80% of women at some point in their lives [2], it remains underserved in technological innovation. Our system bridges this gap by leveraging a supervised learning approach—specifically a Decision Tree Classifier—to recommend yoga poses tailored to users’ physical and emotional symptoms. The input parameters include pain severity, stress, hydration, mood, and activity level—features derived from domain knowledge and validated through synthetic data simulation [3]. The backend architecture integrates Java, JSP, and MySQL, while the frontend provides a simple interface for users to receive recommendations, take emotional health quizzes, and consult doctors securely. Synthetic data generation ensures privacy while modeling real-world symptom progression using weighted probability distributions and logical rules [1][3]. The system achieved 92.4% accuracy in multi-class classification across diverse simulated profiles. Crimson Insights stands as an intersection of empathy and engineering, addressing the growing need for digital menstrual wellness solutions [2][4].