This paper looks at detecting sitting and standing of a human subject in real time using completely contactless radio frequency. The human sits or stands while Channel State information is uploaded to the cloud. A web interface then downloads the data from the cloud and applies a machine learning model to identify if the Channel State Information contains Sitting or Standing movements. The output is then shown on the web interface.