Various neurological disorders (NDs) across the globe are prevalent among children, affecting their quality of life. Among them are Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), and comorbid conditions, which are defined by the proximity of symptoms of inattention, hyperactivity, and impulsivity that are accompanied by impairment in several functional domains. The overall aim of this research is to improve attentional learning in children with NDs using brainwave entrainment techniques with cutting-edge technology like virtual reality and artificial intelligence. For photic stimulation, pulses of light (virtual reality device) were used. For audio stimulation, binaural beats (noise-cancellation headphones) were used. We identified 40 children in the age group of 6 to 12 years, diagnosed by clinicians as ADHD or ASD, or comorbid conditions. Among 40, Audio Visual Entrainment (AVE) at 10 Hz frequency was administered to 23 subjects for 20 days, with 15 minutes daily. Electroencephalogram (EEG) signals were recorded before and after stimulation using the Emotiv Epoc X device. Initially, the data was pre-processed using the Welch method and independent component analysis (programming done in Python and MATLAB). The power spectral density and the relative band power ratios were calculated. The data was analyzed using quantitative analysis, which included comparative and statistical analysis. This analysis revealed a reduction in distraction and an improvement in cognition and attention among subjects with ADHD and comorbid conditions. No improvement was observed in ASD subjects. A positive result is observed in 72% of the ADHD subjects and 66% of the comorbidity subjects, with only 16% of ASD subjects.

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