The human body is composed of energy that vibrates at various rates. Vibrant energy generates this magnetic field. All of our bodily functions, such as respiration, digestion, neurological and circulatory systems, and so on, are comprised of a series of electrochemical reactions. A combination of magnetic and electrical energy fields produces the "Bio-Energetic Field." The research in this area serves to bring to light a variety of intriguing concerns and traits which may be utilised to further the research work in this area on individuals based on human bio-field. The research in this area offers to learn more about the individual's mental state, health concerns, and other associated aspects. In order to better comprehend and interpret the human bio-field and highlight human existence, several improvements in this regard have been made. In the suggested process, we use AURA images to identify the changes. The Gas Discharge Visualisation (GDV) images is first preprocessed, then features are extracted, trained, and classified using machine learning techniques including Support Vector Machine, Random Forest (RF), and Ensembled AdaBoost (Eada). With the Ensembled AdaBoost technique, classification accuracy is increased on average