- Aims to detect PCOS using basic health stats in women and recommending suitable diet for their respective body type and diet habits
- Implemented Machine learning models like Random Forrest classifier, XGBoost and Light BGM
- Python and Jupyter Notebook have been used for the purpose
- Achieved the highest accuracy of 91.74% and designed the front end of website for the same
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Aims to detect PCOS using basic health stats in women and recommending suitable diet for their respective body type and diet habits. Contains the introduction, dataset, code and results for the project
ashna-verma/PCOS-Detection-System
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Aims to detect PCOS using basic health stats in women and recommending suitable diet for their respective body type and diet habits. Contains the introduction, dataset, code and results for the project
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