Biopin
Bversity School of Bioscience

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Computational biology projects built with AI

Solace

Morning guidance for women in perimenopause and menopause

Built by B. Melissa Judith, Bhavika Pawar and Rena Pawah

What it does

Wearables treat heart rate variability as a generic stress number. Solace reads it in the context of perimenopause and menopause. It compares last night's HRV with the woman's own 21 to 30 day baseline, turns that into a 0 to 100 sensitivity score, and gives a short, practical plan for the day.

How it works

  1. Extracts overnight HRV measures (RMSSD, SD1, SD2) from a low-movement sleep window
  2. Normalises them against a personal baseline and combines them into one score
  3. Classifies the day and gives morning guidance alongside a short self check-in

Built with HRV · RMSSD / SD1 / SD2 · Python · Streamlit

Open the demo on Google Drive

A learner prototype built on public data, shared with the team's permission as part of their portfolio. It is not a clinical tool.

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