Attention Deficit Hyperactivity Disorder Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Attention Deficit Hyperactivity Disorder projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

Attention Deficit Hyperactivity Disorder Final Year Projects

A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders

This project focuses on detecting Autism Spectrum Disorder (ASD) early using machine learning. It compares different ways of preparing data and several simple machine learning methods to see which works best. The study tests these methods on datasets for toddlers, children, adolescents, and adults. The results show high accuracy and identify the most important factors for predicting ASD, helping doctors make better decisions.
Identifying ADHD for Children With Coexisting ASD From fNIRs Signals Using Deep Learning Approach

This project focuses on detecting ADHD in children who also have autism. Researchers collected brain signals while children drew simple patterns. They used a deep learning method that combines CNN and Bi-LSTM to analyze these signals. The system could accurately identify children with ADHD and autism with over 90% accuracy.

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Attention Deficit Hyperactivity Disorder Project Synopsis & Presentation

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Attention Deficit Hyperactivity Disorder Final Year Projects with Source Code