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CardioPulse ❤️🩺 is an Android app using machine learning to predict cardiovascular (heart) diseases. Created as a final year project by University of Sialkot students, it combines predictive modeling with Firebase cloud storage. The app offers personalized health assessments and intuitive tracking for early detection and better health outcomes.

  • Updated Sep 24, 2024
  • Java

A machine learning project focused on predicting heart attacks using models like Logistic Regression, Random Forest, and XGBoost, achieving an 83.61% test accuracy. Includes comprehensive EDA, feature engineering, and hyperparameter tuning.

  • Updated Aug 30, 2024
  • Jupyter Notebook

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