Computational biology projects built with AI
HerForecast
A daily readiness forecast across the menstrual cycle
What it does
Energy, mood and focus shift across the menstrual cycle, and wearables don't capture that. HerForecast turns body signals into a daily 'inner weather' reading. Models trained on PhysioNet data predict the cycle phase and mood state, and a web app presents it as a gentle daily forecast with weekly trends.
How it works
- Selects and cleans the relevant PhysioNet tables, guided by the literature
- Trains and validates XGBoost and LightGBM models
- Serves predictions through a Python API to a web app
Built with PhysioNet · XGBoost · LightGBM · FastAPI · Vite web app
A learner prototype built on public data, shared with the team's permission as part of their portfolio. It is not a clinical tool.
More projects
HER
Predicts menstrual phase and ovulation from wearable signals
Amatullah Rampurawala, Sahana P and Vidit Jain
See the project
Solace
Morning guidance for women in perimenopause and menopause
B. Melissa Judith, Bhavika Pawar and Rena Pawah
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FlashReady
A morning heat-sensitivity forecast for hot flashes
Rena Pawah
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Build your own in the PGP
Six months, live classes at the weekend, and a capstone project you can show employers.