Abstract

ASD detection is quite important to both society and medicine. Nevertheless, the diagnostic process may be protracted, costly and highly reliant on clinical expertise. The rising prevalence of ASD coupled with the difficulties associated with its diagnosis underscore the urgent need for novel and efficient methods that identify autism among individuals. The problem will be solved through this study by designing an advanced autism detection system using cutting edge technologies such as artificial intelligence combined with machine learning strategies. Such a system can change how early identification is done, ensuring that people suffering from autism get relevant support as soon as possible Maybe most importantly, there is dramatic societal and economic effect of autism. As well, being a lifelong condition, managing it effectively can significantly reduce lifetime costs for persons affected by it as well as their families. Additionally, accurate and effective identification of AUTISM could facilitate timely interventions leading to positive long-term outcomes.