Detection of Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder Using Deep Learning Approach

Authors

  • Anuradha T Professor, Dept of CSE, PDA College of Engg, Kalaburagi, Karnataka, India. Author
  • Venkatesh.L. K UG Scholar, Dept. of CSE, PDA College of of Engg, Kalaburagi, Karnataka, India. Author
  • Yasser.Hussain UG Scholar, Dept. of CSE, PDA College of of Engg, Kalaburagi, Karnataka, India. Author
  • Syed Imtiyaz UG Scholar, Dept. of CSE, PDA College of of Engg, Kalaburagi, Karnataka, India. Author

DOI:

https://doi.org/10.47392/IRJAEM.2025.0376

Keywords:

Convolutional Neural Network (CNN), Tomato Leaf Disease, Flask, Deep Learning, Ngrok, Image Classification, Agricultural Technology

Abstract

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