Detection of Autism Spectrum Disorder Using Deep Learning Model

Autism, also referred to as autism spectrum disorder (ASD), affects behaviour, social interaction, and communication. While autism is not curable, early intervention and therapy can improve the social and communication abilities of individuals affected by it, leading to a better quality of life. Traditional methods for diagnosing ASD depend on professional clinical judgement, which is subjective and labor-intensive. Therefore, dependable and unbiased methods for the early identification of ASD are necessary. This work aims to develop a web application for detecting Autism Spectrum Disorder (ASD) by utilising deep learning and machine learning models that analyse several behavioural aspects associated with ASD.