OneLife

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  Published Results

Inspiration

I've always wanted to design something that can help improve and change lifestyles. I looked through a bunch of random medical datasets, not knowing which one to pick, and then got the idea to combine a bunch of them.

What it does

Shows users personal risks of getting different chronic illnesses through lifestyle surveys

How we built it

Used Kaggle for datasets, Jupyter notebook for analysis and model training, and pandas/streamlit in vscode for app building.

Challenges we ran into

Data collection, package dependency issues, a lot of time spent on scrapped features that ended up being too unrealistic

Accomplishments that we're proud of

The web interface itself looks nice, the data parsing and filtering works really well

What we learned

Streamlit development, Python development, and medical knowledge on how illnesses are isolated for diagnosis

What's next for OneLife

SHAP explainer, support for more chronic illnesses

Built With

• jupyter
• pandas
• python
• streamlit