International Journal of Scientific Research and Engineering Development

In this paper we will suggest an AI based heart disease prediction system which will combine both machine learning and deep learning techniques to enhance the use and accuracy of prediction. The system uses a hybrid model that exploits the benefits of a random forest classifier and a neural network. The Random Forest model is efficient to work with structured medical data and to discover significant features whereas the Neural Network learns all the complicated nonlinear associations within the data. The system can make more reliable and robust predictions of the system by averaging the results of the two models than when compared to the single models. The proposed system will be a full-fledged system with a user-friendly interface. It enables users to enter such vital health parameters as age, blood pressure, and cholesterol levels to determine the risk of heart disease in real time. Along with the prediction of structured data, the system also uses image-based analysis based on the AI techniques that allow for expanding the diagnostic capabilities further. Moreover, the system has an intelligent chatbot, which gives the user simple health tips, offers suggestions on necessary lifestyle changes, and answers questions about the user. To enhance accessibility, there is the inclusion of multilingual assistance where the user can deal with the system using other languages. The important aspect of the system is that professional medical-style reports in PDF format are generated automatically, hence can be useful to both patients and professionals. The experimental findings suggest that the hybrid model is better in terms of prediction and gives more consistent output. Overall, the current project proves the effectiveness of AI implementation in the creation of smart, convenient, and trustworthy healthcare solutions. In the future, incorporation of real-time health monitoring equipment and enhancement of model accuracy via bigger sets of data will be implemented.

Shifa Bilal Tamboli, Simeen Phiroj Mulani, Arman Tajuddin Shiakh,"AI-Based Heart Disease Prediction System Using Hybrid Machine Learning and Deep Learning" International Journal of Scientific Research and Engineering Development, V9(2): Page(2468-2475) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.