Auralie: Women’s Health & Wellness Technology

Renuka Raut; Khushi Samudre; Suhani Warhekar; Gunjan Sonar; Rashi Rahate

doi:10.71097/IJSAT.v16.i4.9286

Auralie: Women’s Health & Wellness Technology

Author(s)	Prof. Renuka Raut, Ms. Khushi Samudre, Ms. Suhani Warhekar, Ms. Gunjan Sonar, Ms. Rashi Rahate
Country	India
Abstract	Menstrual health remains one of the most underrepresented areas in modern healthcare, particularly in developing regions where stigma, misinformation, and finite access to medical guidance hinder women’s well-being. To address these challenges, Auralie presents an AI-powered, integrative platform designed to support women’s holistic menstrual and reproductive wellness. The system fuses intelligent prediction algorithms with accessible educational content, creating a comprehensive ecosystem for proactive health management. The proposed framework incorporates four interlinked modules namely, Next month menstrual (Period) Cycle Prediction, Symptom Detection such as detecting PCOS, PCOD, uterine swelling, Fertility Analysis and Score detection, and Educational Awareness. The predictive model leverages time-series analysis and supervised machine learning algorithms to forecast menstrual cycles with highest-possible accuracy, while the symptom detection engine makes use of a decision tree classifier and rule-based logic to identify potential disorders such as PMS, PCOD, PCOS, etc. The fertility module applies probabilistic modeling and logistic regression to estimate ovulation windows, providing users mainly cover young girls and women with overall personalized reproductive insights. Complementing these technical components, the educational module implements gamified and multimedia-based learning (such as videos, stories, and interactive quizzes) to enhance menstrual literacy and awareness among young girls and mothers. Through user-centered design, Auralie bridges the gap between medical accuracy and social empowerment. Initial assessment demonstrates major user engagement, more possible accurate cycle prediction rates, and positive feedback in usability and awareness improvement. By integrating predictive intelligence with inclusive education, Auralie transforms menstrual management from a reactive process to an informed, empowering experience for women worldwide.
Keywords	AI in Healthcare; Menstrual Health; Predictive Analytics; Educational Technology; Women Empowerment; Auralie
Field	Medical / Pharmacy
Published In	Volume 16, Issue 4, October-December 2025
Published On	2025-11-07
DOI	https://doi.org/10.71097/IJSAT.v16.i4.9286
Short DOI	https://doi.org/g99qkh

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Auralie: Women’s Health & Wellness Technology

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