Privacy focused period tracking!

Period tracking app - Free, offline, and open source.

PERIOD CYCLE PREDICTION©: Predictive Modeling of Menstrual Cycle Length: A Time Series Forecasting Approach ♀ https://arxiv.org/pdf/2308.07927.pdf

Health Record & Period Tracker App

Sakhi, a mobile-first app tailored for women, encompasses daily journals, safety features, community, and holistic health tools. Elevate your well-being with Sakhi, your dedicated companion for empowerment, connection, and growth.

A web app to track mentrual cycles, health, and hygiene - work in progress

MensturalMate is a simple menu driven period calculator build in C language as part of my mini-project in MCA Semester 1

Menstruated is a place where women share their first-period stories, feelings, emotions through blogs. Can track your periods and get notified early through the mail. They should know that you are not alone in the fight against PCOS by-polls which shown in the graph and many other questions. Can know the myths/facts, self-care during periods.

A simple menstrual cycle and pregnancy tracker built with Python, GTK 4, and Libadwaita.

✅ Better cycle predictions for your app. Accurate, private, and easy to integrate.

Uma aplicação para cálculo de dados menstruais pessoais do usuário, visando acompanhar, guardar, e mostrar as informações ao usuário.

The backend to my project [ https://github.com/eshabaweja/medusa ].

FlowSync is a privacy-focused menstrual health tracking web app built with React and Firebase. It helps users monitor their cycles, track ovulation, and store personal health data securely on their own Google Drive.

Command line tool to plot a graph of cycles exported from Apple Health or Withings Health Mate.

Menstrual Cycle Tracker made during CBIT Hacktoberfest'24

CycleSense - Free and Private Period and Symptom Tracker

【⭐️ Star this repo to support workplace wellness innovation!】A comprehensive women's health platform designed for workplace wellness. This Next.js application offers personalized health tracking for female employees while providing HR departments with anonymized data insights for better workforce planning and employee support.

🌟 LunaBloom: Empower your menstrual health journey with personalized tracking, predictions, and AI assistance.

Heart Attack Risk Predictor uses data collected from Apple Health and user's input to predict risk of a heart attack in women. Project idea by Selina Vicino and Tatiana Patton for ASU BMI. Faculty mentor: Dr. Dongwen Wang. Beta version can be installed by following the link below.