The Neuro-developmental disorder ASD (Autism Spectrum Disorder) encompasses high risk in the activities of the individual affected by ASD, including socialization and communication. Autism symptoms usually appear in early childhood and exist for the remaining part of life. Symptoms include aversion of physical contact and a wish to go it alone, and also fault finding with others. The activities are monitored for the people having symptoms of this disease and it is recorded, identified, and labelled using a framework. In this investigation, various sorts of supervised learning for Depressive symptoms were used on a dataset of participants of ages with different ranges. LDA (Linear Discriminant Analysis), Logistic Regression, and KNN (K Nearest Neighbor) are the categorization techniques applied to conduct the experiment at the end of the investigation , Logistic regression has proved as the optimal method by producing accuracy around 94% in identifying the disorder among the people who have been tested