AutiDetect: An Autism Detector

DOI

10.2991/978-94-6463-852-3_17How to use a DOI?

Keywords

ASD; Random Forest; VGG16; SVM; ResNet50; Autism

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental condition that requires early intervention. However, current diagnostic methods are often subjective and time-consuming. This project aims to develop an automated model that detects ASD by integrating image features using machine learning and deep learning techniques and dataset of 2540 images. The aim is to develop a helpful, user-friendly tool for identifying early signs of autism, which is crucial for early intervention. To achieve this, we applied several hybrid models: VGG16 + Random Forest, Resnet50 + Random Forest, Resnet50 + SVM and SVM + VGG16.These combinations were chosen for their complementary strengths in classification accuracy, processing speed, and feature extraction. The research focused on data preprocessing, feature selection, and model training for high detection accuracy while minimizing false positives. The results show that these hybrid models significantly improve detection performance considerably, with evidence of the effectiveness of integrating traditional and deep learning methodologies for ASD detection [2][3][8][9]. This is a strong and easy-to-implement solution that can improve clinical screening and facilitate early diagnosis of ASD.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Ankita Deshmukh
AU  - Ishwari Mundake
AU  - Preet Chandan Kaur
AU  - Trupti Agarkar
PY  - 2025
DA  - 2025/10/07
TI  - AutiDetect: An Autism Detector
BT  - Proceedings of the MULTINOVA: First International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS- 2025)
PB  - Atlantis Press
SP  - 259
EP  - 275
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-852-3_17
DO  - 10.2991/978-94-6463-852-3_17
ID  - Deshmukh2025
ER  -