AI powered heart disease cardiovascular prediction using ML Algorithms

Authors

  • Zain ul Abedeen Department of Computer science, University of Sialkot, Sialkot, Pakistan
  • Waqar Azeem Khan Department of Computer science, Abbottabad university of science and technology, Pakistan
  • Huma Sarfaraz
  • Shahmeen Zahid
  • Amna Bibi
  • Eman Anwar

Abstract

This paper presents an AI-powered heart disease prediction system using machine learning algorithms. The system is implemented in an Android application that collects user health data and predicts the presence of heart disease in real-time. The model uses Naive Bayes classification and is connected to the app through a Flask API. The app is equipped with functionalities like user login/signup, chat-bot assistance, dietary recommendations, and a history of past predictions. The goal is to provide a user-friendly tool that enables early risk detection and promotes heart health awareness. Considering the rapid growth in AI-driven healthcare solutions, this project has the potential to make a significant impact in Pakistan, addressing a critical need in preventive cardiology. We achieved different accuracy using different models Naïve Bayes is 95%, Decision tree is 84%, CNN is 92% and ANN is 94%.   

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Published

2025-08-31

How to Cite

Abedeen, Z. ul, Khan, W. A., Sarfaraz, H., Zahid, S., Bibi, A., & Anwar, E. (2025). AI powered heart disease cardiovascular prediction using ML Algorithms. Grand Asian Journal of Computing and Emerging Technologies , 1(1), 1–11. Retrieved from https://gajcet.com/index.php/gajcet/article/view/10

Issue

Vol. 1 No. 1 (2025): First Issue

Section

Articles