Autism spectrum Disorder Recognition with AI-Powered models

Author(s)	Ms. KAVYA K, Mr. S Manjunatha
Country	India
Abstract	Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that affects communication, behavior, and social interaction. Early diagnosis plays a critical role in improving the quality of life of individuals affected by ASD. This study explores the application of machine learning algorithms to effectively analyze and detect autism spectrum disorder. By utilizing a publicly available dataset and applying algorithms such as Support Vector Machine (SVM), Random Forest, and Decision Tree, the model aims to achieve high accuracy in prediction. The results demonstrate that machine learning can be a valuable tool in assisting healthcare professionals in the early and efficient detection of ASD.
Keywords	Autism spectrum disorder,machine learning,SVM,Random forest,linear regression,neurodevelopment
Field	Engineering
Published In	Volume 6, Issue 5, September-October 2025
Published On	2025-09-19
DOI	https://doi.org/10.63363/aijfr.2025.v06i05.1372
Short DOI	https://doi.org/g938mh

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Advanced International Journal for Research