Computational biology projects built with AI
FlashReady
A morning heat-sensitivity forecast for hot flashes
Built by Rena Pawah
What it does
Hot flashes are usually handled after they start. FlashReady looks at overnight signals to estimate how heat-sensitive the day is likely to be, on a 0 to 100 scale. It then gives a simple read on the day and a few practical tips, such as lighter layers or having a cooling pack ready.
How it works
- Preprocesses overnight HRV features into a heat-sensitivity score
- Labels each day as low, moderate or high sensitivity
- Shows the forecast and tips in a Streamlit app, with the contributing features one click away
Built with HRV · Python · pandas · Streamlit
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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