Design of a User Friendly IOT Based Interface for the Collection of Multimodal Data from Autistic Children

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition marked by challenges in social communication and the presence of restricted interests and repetitive behaviors. Early diagnosis is crucial for providing necessary support to children with ASD. This paper discusses the role of artificial intelligence (AI) in expediting and enhancing the accuracy of ASD diagnosis. Unlike a single definitive test, diagnosis involves a multidisciplinary approach considering developmental history, behavior, and social interaction skills. AI algorithms offer a promising solution by analyzing diverse data sources, such as medical records and genetic information, to identify patterns associated with ASD. The combined analysis of questionnaire responses and video data allows doctor to predict the diagnosis of ASD. The application serves as a preliminary screening tool, encouraging parents to seek further evaluation from healthcare professionals. To address this issue, this paper proposes an application which holds the potential to make ASD diagnosis more accurate, efficient, and accessible, ultimately contributing to improved outcomes for children with ASD.