Autism is a complex, lifelong developmental disability that typically appears during early childhood and can impact a person’s social skills, communication, relationships, and self-regulation. Autism is defined by a certain set of behaviors and is a “spectrum condition” that affects people differently and to varying degrees. Several factors may influence the development of autism, and it is often accompanied by sensory sensitivities and medical issues such as gastrointestinal (GI) disorders, seizures or sleep disorders, as well as mental health challenges such as anxiety, depression and attention issues. Machine learning (ML) is incorporate with many application areas and human health sectors also. In this research, we used Convolution Neural Networks for analyze the history of autism patients and their activities for extracting the features. CNN is one of the powerful machine learning algorithm for image application process. We used both video and image input dataset from autism patients and processed with our CNN framework. Finally, we can get the probability of disease and remedies with the guidelines of medical experts. We proudly present that research to the society for human community because autism is the critical and psychological decease and 2 % children are affected by autism across the world.