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🩺 Cardiac Compass

An Android application built using Kotlin, Python and Jetpack Compose and uses Machine Learning Algorithm, K-Nearest Neighbor(KNN) to predict heart disease with 97% accuracy.

🎯 Objectives

There are two main objectives of this project:

I. First objective of this project is to build an Android Application that can predict whether a person has a probability of heart disease or not based on the inputs provided by the user.
II. The Android Application should use a Machine Learning model to generate the outcome.

🛠️ Technologies

  • Python
  • Pandas
  • Matplotlib
  • Seaborn
  • Numpy
  • scikit-learn
  • Flask
  • Kotlin
  • Jetpack Compose
  • Google Cloud

🎨 UI/UX

🔍 About Application

🧑‍💻What I Learned

✨ Contribution

Contributions are welcome! If you’d like to add new feature or improve existing ones, feel free to submit a pull request. Drop a like and followe me on the github.

Happy coding! 🚀

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An Android application built using Kotlin, Python and Jetpack Compose that uses Machine Learning Algorithm to detect heart disease with 97% accuracy

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