CycleSense
Link to open source: https://github.com/JHANKARBANSAL/CycleSense_Repo.git
Here's a concise, professional description of around 180–200 words:
CycleSense is an AI-powered women's health application designed to provide personalized menstrual health support through intelligent cycle tracking, adaptive predictions, and engaging wellness experiences. Instead of relying on fixed calendar calculations, the application continuously learns from each user's cycle history, symptoms, moods, and daily wellness logs to deliver more relevant and personalized insights.
The project focuses on solving three key challenges in women's healthcare applications. First, it introduces personalized healthcare intelligence, using AI to generate recommendations tailored to an individual's unique health patterns rather than offering generic advice. Second, it addresses the common issue of low user retention and engagement by incorporating habit-building features such as daily streaks, wellness milestones, and consistent progress tracking that encourage long-term usage. Finally, CycleSense provides an adaptive and predictive menstrual calendar that continuously refines cycle forecasts based on historical data, helping users better understand upcoming menstrual, follicular, ovulatory, and luteal phases.
By combining AI-driven health intelligence, adaptive cycle prediction, and user-centric engagement features, CycleSense aims to make menstrual health management more personalized, accessible, and proactive. The platform empowers users with meaningful insights, helping them better understand their bodies and make informed decisions about their daily health and well-being.
This build was uploaded as a hackathon project
