Hypertension and cardiovascular disorders, including stroke and atherosclerosis, have emerged as formidable global health issues. Timely identification and appropriate action are essential in averting the progression of many illnesses into more serious consequences. An examination of retinal blood vessels provides a noninvasive and economical approach to detect hypertension and forecast cardiovascular disorders. Hypertension is found by the utilization of the DRIVE dataset and the analysis of retinal vessels. Indeed, the detection of exudates yielded valuable information on cardiovascular disorders. Using the acquired parameters, machine learning models are developed and trained to showcase their capacity in predicting cardiovascular illnesses. The examination of retinal blood vessels can greatly improve the prevention and management of certain health disorders.