Abstract: Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by challenges in interaction, communication, and repetitive behaviors. Early and accurate diagnosis is crucial for effective intervention. This paper presents a novel ASD Detection System using deep learning techniques, specifically CNNs, to analyze brain MR images and classify them as either ASD or typical control. The system achieves high accuracy, providing a reliable tool for early ASD diagnosis. Comprehensive testing ensures robustness, performance, and security, making it suitable for clinical use. The system's deployment on a local server enhances data privacy and accessibility for healthcare professionals.

Keywords: Autism Spectrum Disorder, Deep Learning, Convolutional Neural Networks, Medical Imaging, Early Diagnosis, Neurodevelopmental Disorders, Machine Learning, Brain MR Images.

| DOI: 10.17148/IARJSET.2024.11740