ASD, or autism spectrum disorder, may be one of the most popular health issues of our day due to the high number of humans it impacts. Autism spectrum illnesses are the most prevalent the recent years, the issue has been the focus of increasing investigation from the general population, the industry, and healthcare professionals. The most indicative realization is that ASD does not occur in a detachment. A neurological abnormality called autism spectrum disorder affects how individuals think and interact with each other, which can lead to issues with social relation and cooperation. Limited and repeated behavioral patterns are another feature of the illness. Since there is no specific medical test, such as a blood sample test, to detect autism spectrum disorder, diagnosis can be challenging. It has been identified as a behavioral state. In order to determine a diagnosis, doctors consider the patient’s condition and life stages. Obviously, the majority of kids don’t get an actual diagnosis until it’s far too slowly. A child’s capacity to receive the support they require to constantly upgrade is hampered by this delayed diagnosis. To ensure that children with ASD pick up the treatments and backing they require to attain their best extent, it is crucial to follow, analyze, evaluate, and diagnose them as early as possible. Hence, we are creating a technology that will be able to diagnose Autism and reach a trustworthy decision with or without the aid of a specialist. In order to create this system, CNN performed as our primary algorithm. With the help of this CNN model, we get 99% accuracy. Which is too good. For this reason, we think that this method will be quite helpful for anxious parents, worrying about their child’s development and activities, but it will also be very helpful to the expert.