Detection of Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder Using Deep Learning Approach
DOI:
https://doi.org/10.47392/IRJAEM.2025.0376Keywords:
Convolutional Neural Network (CNN), Tomato Leaf Disease, Flask, Deep Learning, Ngrok, Image Classification, Agricultural TechnologyAbstract
ASD and ADHD are neurodevelopmental disorders, it is diagnosed especially in toddlers and young children. Finding these problems early can help people get the right care on time. This project uses a computer method called Convolutional Neural Networks (CNN) to find signs of ASD and ADHD from videos and MRI images. A simple web app is also made where users can upload files and get quick results. The model works well and gives correct answers in most cases. This tool can help doctors and health workers check people easily and faster using AI.
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Published
2025-07-07
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Research Articles
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Copyright (c) 2025 International Research Journal on Advanced Engineering and Management (IRJAEM)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.