Advanced Hypertension and Heart Attack Prediction using Retinal and speech Analysis

Cardiovascular diseases, including hypertension and heart attacks, are among the leading causes of mortality worldwide. Early detection and continuous monitoring play a crucial role in reducing health risks and improving patient outcomes. This project, titled “Advanced Hypertension and Heart Attack Prediction using Retinal and Speech Analysis,” presents an intelligent system that utilizes artificial intelligence and machine learning techniques to predict cardiovascular risks at an early stage. The proposed system analyzes retinal images to examine blood vessel patterns and structural changes associated with high blood pressure and heart-related disorders. In addition, speech signals are processed to extract acoustic features that reflect stress levels, respiratory patterns, and physiological conditions linked to hypertension. Advanced preprocessing and feature extraction methods are applied to enhance data quality and improve prediction accuracy.