The ASD smart screening solution platform represents an innovative computational approach to early autism detection in toddlers, utilizing advanced classification methodologies to analyze developmental patterns. This intelligent support system employs decision tree and Naive Bayes algorithms to process multiple indicators including behavioral responses, social interaction markers, and developmental milestones. By transforming traditional assessment techniques into a streamlined digital framework, the platform offers healthcare providers a supplementary tool for efficient screening that reduces diagnostic delays while maintaining clinical relevance. Early intervention remains crucial for children with autism spectrum disorder, as timely therapeutic support significantly improves developmental trajectories and quality of life outcomes. ASD NeuroCare addresses this need by creating an accessible screening mechanism that combines machine learning precision with intuitive interfaces suitable for various healthcare settings. Through systematic data processing and interpretable prediction models, the system maintains transparency while providing valuable insights that complement professional clinical judgment, potentially expanding autism screening capabilities in underserved communitieswhere specialist access remains limited.