OvaCare : PCOS Management App

Abstract

Polycystic Ovary Syndrome (PCOS) is a prevalent 
hormonal disorder affecting millions of women 
globally, often leading to irregular menstrual cycles, 
weight fluctuations, acne, and emotional stress. 
Traditional PCOS management approaches are 
limited to basic period tracking and generic health 
suggestions, lacking the personalization and 
predictive insights required for effective long-term 
care. 
To address this gap, this project presents OvaCare, 
an AI-powered PCOS management system designed 
to offer a holistic, personalized, and data-driven 
approach to women’s reproductive health. OvaCare 
allows users to log their symptoms, track their 
menstrual cycles, and receive AI-generated insights 
into their hormonal health. The system uses a Long 
Short-Term Memory (LSTM) model to predict 
upcoming menstrual cycle dates based on past data, 
enabling 
proactive 
planning 
understanding of cycle irregularities.Beyond physical symptom tracking, OvaCare also 
focuses on emotional wellness by providing 
meditation resources and stress-relief exercises, 
promoting a balanced lifestyle. The application 
incorporates Google authentication for secure 
access, and leverages Flask and MongoDB for a responsive,scalable, 
and 
cloud-hosted 
infrastructure. Its intuitive interface ensures 
usability across web and mobile platforms. By combining AI with practical health tools, 
OvaCare 
aims 
to 
revolutionize 
PCOS 
management—offering users not just insights, but actionable recommendations tailored to their 
personal health data. The result is an empowering, 
user-centric healthcare solution that enhances self
awareness, reduces anxiety around unpredictable 
symptoms, and improves overall quality of life for 
individuals managing PCOS.