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

说明与用途

Mori 是一款免费的 Android 月经追踪应用，使用最近六个周期的中位数进行本地统计预测，避免云端数据上传，保障隐私。

问题

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

结果

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

工作流

• 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.

证据

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.

来源

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

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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.

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

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