Nadi-parikshan, is an important Wrist Pulse based method of diagnosis in the traditional and effective medical system of Ayurveda. Wrist Pulse signals contain some crucial information about the health of a person and hence diagnosis based on Pulse signals has importance. According to the Ayurvedic science, our mind-body constitution or dosha is determined at the time of conception. Thus, we are each born with a distinct combination of the Vatta, Pitta, and Kapha doshas that remains as it is throughout your life. This is known as Prakruti. The balance of all these doshas and the Prakruti play a vital role in the social life. The paper proposes a framework to predict the Pulse after performing Surya Namaskar for people of different Prakruti at different Prahars (Morning, Afternoon or Evening). The identification of Prakruti of a person will be done using a questionnaire. Recording of the Wrist Pulse signals before and after performing Surya Namaskar at different times of the day or Prahar (Morning, Afternoon and Evening) form the dataset. The variations occurring in the Pulse signals shall be determined by processing the signals and these changes will be used as knowledge for our Machine Learning algorithm. This will be further used to predict the Pulse after performing Surya Namaskar and determining its effect on our daily life cycle. © 2017 IEEE.