Autism Spectrum Disorder Detection Using MobileNet

Autism Spectrum Illness (ASD), a evolution of the brain disorder, is commonly related with sensory difficulties, such as excessive or insufficient sensitivity to sounds, scents, touch. Disorder (ASD) evolving at faster rate than ever before. By screening tests autism detection very expensive and time consuming. With advancement Deep Learning (DL),autism can be predicted from young age.In this paper we are using Convolutional Neural Network (CNN) Transfer (TL) models classify disease will suggest precautions if it detected autism. Here consider Master Dataset (AMD) kaggle.com website, which contains two classes (Autism, Non_Autism). obtaining good accuracy