Pulse diagnosis, also known as Nadi Pariksha, is one of the various diagnostic modalities used in Ayurveda. Nadi Pariksha is a way of determining the underlying cause of a sickness that needs extensive knowledge of the Tridosha signals (i.e. Vata, Pitta and Kapha), as well as the peculiarities of each pulse signal and their relationship to each dominant signal. A Nadi expert can gain a sense of the patient's health status by using this approach and then provide treatment based on that information. In the present day, the health monitoring of people has become an essential requirement. A system which keeps track of the patient's health and continuously captures pulse signals will be helpful. In this work a healthcare monitoring system that uses sensors was developed, and the analysis of Vata, Pitta and Kapha for various patients is discussed, as well as the uploading of the same data to a self-made IoT cloud. The mean values of Vata, Pita and Kapha were compared for different age groups; we found that it is more significant for the age group of 41‒50.