Deep Analysis of Autism Spectrum Disorder Detection Technique

Author(s)	Kaviya.T, Spandana
Country	India
Abstract	The project aims to improve early detection of Autism Spectrum Disorder (ASD) using deep learning techniques, specifically the Mobile Net algorithm. This algorithm, known for its efficiency and accuracy, can handle complex patterns with reduced computational resources, potentially enhancing early diagnosis and intervention strategies for this neurodevelopmental disorder. Traditional screening methods are costly and time-consuming.
Keywords	Autism Spectrum Disorder (ASD), Machine Learning, Deep Learning, MobileNet, Svm, CNN,
Field	Engineering
Published In	Volume 7, Issue 1, January-February 2025
Published On	2025-01-23
Cite This	Deep Analysis of Autism Spectrum Disorder Detection Technique - Kaviya.T, Spandana - IJFMR Volume 7, Issue 1, January-February 2025. DOI 10.36948/ijfmr.2025.v07i01.28473
DOI	https://doi.org/10.36948/ijfmr.2025.v07i01.28473
Short DOI	https://doi.org/g829s5

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International Journal For Multidisciplinary Research