Figure 1a: Main page of mobile app where parent can view current likelihood for the child to have a language disorder, disable/enable the receiver, or view history of percentage predictions

Figure 1b: Second page of mobile app where parent can set the difficulty of the vocabulary the infant is exposed to.

Description: The procedure begins with the receiver.  The receiver will be placed near the infant and once turned on will record the infants babbling.  The data will then be sent to the server which will use the trained machine learning model to evaluate the babbling and present a percentage chance of the infant having a disorder. The probability history will be the graph that represents each instance of recording. Additionally, the mobile app will expose children to more vocabulary as a way to prevent language disorders and the parent can select the difficulty level on a second page. Lastly, there will be a separate initial phase where we would collect data about the babbling patterns of children who later developed a language disorder. This data will be used to train the machine learning model.