Inspiration
PCOS is one of the most falsely diagnosed diseases which can be avoided easily.
What it does
Helps patients and doctors to give them a diagnosis of PCOS.
How we built it
Utilized the PCOS dataset from Kaggle and built an ensemble learning method using multiple classifiers stacked to build a machine learning model.
Challenges we ran into
Finding the significance of different features to predict the diagnosis.
Accomplishments that we're proud of
Solving a pretty commonly misdiagnosed disease that affects so many women disrupting their daily activities. Achieved an accuracy of 94.7%.
Built With
- gcp
- python
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