Autism Disorder represents a lifelong neurological condition marked by difficulties in social interaction and communication for affected individuals. It is diagnosed at any stage in life. It is called “behavioral disease.” The challenges associated with ASD typically begin in childhood and persist into adolescence and adulthood, creating ongoing impacts throughout an individual's life which cannot be cured but can be improved and have implemented the models of Convolutional Neural Network (CNN) to predict and analyze ASD-related issues in individuals across different stages of life, including childhood, adolescence, and adulthood. Dataset consists of Autistic and Non-Autistic face images of children. The models of Convolutional Neural Network (CNN) for prediction are VGG16 and VGG19. It is giving accuracy of almost 86.333 and 86.0%.