Authors: T. Sandhiya, E. Anitha, k. Arunkumar
Abstract: Autism Detect AI is a multimodal deep learning-based computer-aided diagnosis system for Autism Spectrum Disorder (ASD). The system integrates audio and video data to analyze behavioral patterns and classify features associated with ASD. Video data is processed using Convolutional Neural Networks (CNNs), while audio data utilizes Mel-Frequency Cepstral Coefficients (MFCCs) combined with CNNs for classification. The proposed system achieves an accuracy of 95% in identifying ASD in children. This high accuracy demonstrates its potential as an objective and standardized tool for early ASD diagnosis, improving upon subjective clinical evaluation methods. The findings highlight its effectiveness in clinical applications, enabling early intervention and improved developmental outcomes.
International Journal of Science, Engineering and Technology