Autism Detection

Autism detection involves identifying signs of Autism Spectrum Disorder (ASD) early in a child's development to enable timely intervention and support. Early detection is crucial, as it can significantly improve the quality of life and developmental outcomes for children with ASD. Traditional methods rely on behavioral assessments and developmental screenings conducted by healthcare professionals. However, advancements in technology are enhancing these efforts; machine learning algorithms and computer vision are being used to analyze patterns in behavior, eye movement, and facial expressions to identify potential signs of autism earlier and more accurately. Early and precise detection facilitates access to specialized therapies and educational resources, promoting better long-term outcomes for individuals with ASD.