Your period tracker doesn't need an ML model. It needs statistics.

Описание и применение

Мори – бесплатный Android‑приложение для отслеживания менструаций, использующее простую статистику (медиану последних циклов) для прогнозирования следующей даты, без облачных сервисов и аккаунтов.

Задача

Users want to predict their next menstrual cycle date, but existing apps rely on machine learning models that require cloud accounts and data upload.

Результат

Mori provides accurate, deterministic cycle predictions without cloud dependence, enhancing privacy and reliability.

Рабочий процесс

• 1. User logs up to six recent cycle lengths in Mori.
• 2. Mori calculates the median cycle length as the central estimate.
• 3. Mori outputs a date range for the next period and a confidence label based on data length and regularity.
• 4. If data is insufficient, Mori displays "not enough data" instead of a guess.

Доказательства

Cycle prediction, at its core, is: take your last N cycle lengths, compute a central estimate, add a window. A mean or median over your recent history, maybe weighted toward recent cycles. That's it.

Источник

I made Mori, a free Android period tracker that keeps everything on the phone. No account, no email, no cloud by default.

Источник

Take up to your 6 most recent cycles; Median cycle length as the central estimate; A date range, not a single fake-precise day; A confidence label that drops when your history is short or irregular.

Источник

When there's not enough data, it says "not enough data" instead of inventing a confident guess.

Источник