VQAutism: Using Visual Question Answering to Analyze Autism Spectrum Disorder

A machine learning model trained on facial action units from video data to assist in ASD diagnosis by predicting answers to diagnostic questions. The model achieved high accuracy (98.62% AUC-ROC) compared to baseline approaches, potentially reducing time and cost of current diagnostic procedures.