Autism Detection From Image Using Generative AI

Abstract

There is a growing demand for early identification and treatment strategies due to the rise in autism spectrum disorder (ASD) diagnoses. The majority of current diagnoses rely on behavior observation, which can be time-consuming and not necessarily reliable. In order to identify early indicators of autism, this study examines the use of generative artificial intelligence (AI) to analyze facial photographs. We developed a model that can recognize subtle face characteristics and patterns associated with ASD using cutting-edge machine learning techniques. A sizable collection of facial photos of individuals with and without autism is used in our approach. This aids in the model's learning of the distinctive characteristics that could be connected to autism traits. The generative AI system also creates extra training data, which makes the model