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Machine Learning in Period, Fertility and Ovulation Tracking Application.pdf (708.67 kB)

Machine Learning in Period, Fertility and Ovulation Tracking Application

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posted on 2023-02-13, 17:05 authored by Tanmay ThakurTanmay Thakur, Saurabh Kadam, Nikita Patil, Chinmayee Achrekar

Machine learning has the potential to improve the accuracy of period tracking applications by analyzing patterns in menstrual cycle data. The ability to predict the timing of menstrual cycles is important for women's health, and can be used to provide personalized reminders and notifications, as well as to better understand and manage menstrual cycles.

History

Email Address of Submitting Author

tanmayrc.thakur@gmail.com

ORCID of Submitting Author

0000-0002-7401-1453

Submitting Author's Institution

Vasantdada Patil Prathisthan's College of Engineering and Visual Arts

Submitting Author's Country

  • India