Design and verification of an AI-based interactive tool for early screening of autism in children

With the increasing prevalence of autism spectrum disorder (ASD) among children, early screening has become an important tool for improving autism intervention outcomes. This paper proposes and designs an interactive tool for early screening of autism in children based on artificial intelligence (AI) technology. This tool uses an AI model to analyze children's behavioral data, such as facial expressions, body movements, and eye movements, to automatically identify potential features of autism. Through the design, development, and validation of this tool, this paper demonstrates its advantages in improving screening accuracy, reducing human error, and enhancing screening efficiency. Experimental results demonstrate that the tool has high accuracy and good user adaptability, providing effective early screening support for parents and physicians. Finally, this paper analyzes the limitations of the tool and proposes future optimization directions to provide more precise technical support for the early diagnosis of autism.