Volume 2 - Issue 3, May - June 2026

This study introduces a novel and comprehensive framework for predicting the likelihood of AutismSpectrum Disorder (ASD) in children, encompassing a multifaceted approach that incorporates personalized gaming, quizzing, and MRI analysis. The process initiates with participants inputting their details and engaging in specially designed puzzle games aimed at evaluating cognitive abilities and discerning behavioral patterns. Following successful completion, participants progress to a quiz round that specifically targets social interaction and communication skills, providing a more holistic behavioral assessment. Subsequently, the system employs brain MRI images, utilizing the VGG16 algorithm for analysis, to extract features indicative of ASD pathology. By amalgamating the outcomes of behavioral assessments with neuroimaging data, the framework aspires to offer a more nuanced and comprehensive prediction of the likelihood of ASD, providing valuable insights for early detection and intervention. This integrated approach not only enhances the accuracy of prediction but also underscores the significance of considering both behavioral and neurological factors in understanding and identifying ASD in children.

B Kiruthiga, Sharmila J, Desheendar M V, Sagar M, Fardeen Khan, Danie Deril D K,"Game-Autismvision: Enhancing Autism Spectrum Disorder Detection With Game-Based Assessment" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(3): Page(1145-1150) May-June 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.