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visualization in Power BI, while the prediction module focuses on developing
a machine learning model for stroke risk assessment. This involves data
cleaning, feature selection, and model training.
The chapter also discusses the web design, describing the layout and
functionality of various application pages, and concludes by highlighting the
prototype development using Flask. This comprehensive summary
encapsulates the project's aim to create a user-friendly and informative
platform for stroke risk assessment and awareness.
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