Authors - Sneha S. Biradar, Suvarna Kanakaraddi, Neha Tarannum Pendari Abstract - This personalized music therapy framework for children with Autism Spectrum Disorder (ASD) involves data collection (AQ scores, age, gender, and demographics), severity identification, and customized music creation. Using a publicly available dataset, children were classified by severity, allowing the design of therapeutic music with varying duration, tempo, and complexity. Compositions were set to 15 minutes for low severity, 30 minutes for moderate, and 50-60 minutes for high severity. Preliminary results suggest this approach boosts engagement and may improve cognitive, emotional, and social outcomes, demonstrating the potential of combining advanced analytics with personalized music therapy for ASD.
