Paper Key : IRJ************269
Author: Mayuri Pandurang Ravan,Harshada Sarjerao Pawar,Manasi Narasgonda Sangale,Benzeer Jahur Vathare,Farheen A. Patel
Date Published: 21 Nov 2024
Abstract
Autism Spectrum is a neuro-developmental disorder, The ASD (Autism Spectrum Disorder) Screening Tool project is developed to help screen individuals for potential ASD traits. This tool asks a series of questions based on the user's age group and uses a pre-trained model to predict ASD traits. It also provides resources and recommendations based on the screening results. We gathered early-detected ASD datasets relating to toddlers, children, adolescents, and adults, and applied several feature transformation methods, to these datasets. Various classification techniques were then implemented with these transformed ASD datasets and assessed for their performance. Here Random Forest Classifier predicts output and suggests recovery strategies including videos, and yoga to improve brain health. The results show that when machine learning methods are carefully improved, they can accurately predict whether someone has autism spectrum disorder (ASD). This means we might be able to use these models effectively in real-life situations.