Abstract: Varicose veins is amongst the typical type of vascular condition which can turn in such chronic health issues without proper treatment. Existing diagnostic techniques include manual examination and doppler ultrasound these methods are very efficient but need considerable resources. The paper introduces an automated method for identifying varicose veins by utilizing the YOLO (You Only Look Once) deep learning algorithm. With real-time object detection of YOLO, the system is trained on a prepared set of labeled images wherein it learns to detect varicose veins accurately in several formats of images and video streams. It further enables the loading of images so that patients can be continuously monitored in an economical and accessible manner for healthcare professionals. This development is supposed to allow earlier detection and prompt medical action so as to improve the patients' health results and reduce the incidence of serious complications with varicose veins.

Keywords: Varicose Veins (V2), YOLO (You Only Look Once), Deep Learning, Object Detection, Image Analysis, Medical Imaging, Health Monitoring, Disease Detection, AI in Healthcare, Vein Identification, Image Classification, Medical Intervention.

| DOI: 10.17148/IARJSET.2024.111012