AUTISM_SPECTRUM_DISORDER

The Autism Spectrum Disorder Detection System is designed to assist in identifying autism-related behavioral patterns using machine learning. Patient data such as behavioral responses, questionnaires, or clinical datasets are processed by a Single Board Computer (SBC). ML algorithms analyze the data to predict the likelihood of autism spectrum disorder. This supports early screening and timely intervention. This project uses an SBC, ML algorithms, medical datasets, and data processing techniques, making it suitable for healthcare analytics and diagnostic support applications.