Heartguard Ai: Ai Next Gen Adaptive Cardiac Risk Chatbot

Abstract

Cardio Vascular Diseases (CVDs) remain the leading cause of mortality across age groups. This paper presents HeartGuard AI, a next-generation adaptive cardiac risk chatbot integrating machine learning and deep learning to forecast and prevent heart-related diseases. The prevalence of serious cardiac events can be prevented greatly by early identification of hereditary and lifestyle-associated risk factors. The paper presents HeartGuard AI, a state-of-the-art adaptive cardiac risk chatbot, which is capable of forecasting and preventing heart- related diseases with the help of the machine learning algorithms, including K-Nearest Neighbor (KNN), logistic regression, and deep learning models. The system combines the medical records provided by the user and lifestyle data and family history to provide age-specific risk profiling and prevention measures. As opposed to the traditional fixed-point screening systems, HeartGuard AI develops together with the user in the various stages of life allowing continuous monitoring and customized recommendations. HeartGuard AI offers an interactive, accessible, and scalable solution to the development of cardiovascular health management by integrating adaptive questioning, real-time data analysis, and easy-to-use interfaces. The experimental evaluation achieved 93.2% accuracy for clinical risk classification and 95.8 % accuracy for ECG-based arrhythmia detection, demonstrating adaptability and robustness across datasets. The proposed architecture aligns directly with the objectives stated in the title by providing an adaptive AI-driven cardiac risk chatbot capable of real-time prevention and monitoring.

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