Neha A. Kandalkar

An Integrated Hybrid Artificial Intelligence Framework For Early Autism Spectrum Disorder Screening Using Random Forest Classification And Resnet18 Transfer Learning

Experimental results demonstrate that the Random Forest model achieved an accuracy of 96.8%, while the ResNet18 model attained 94.2% accuracy, indicating the effectiveness of combining behavioral and facial information for preliminary ASD screening.