Autistic Child

Research on autistic children currently focuses on improving diagnosis and therapeutic interventions, leveraging advancements in artificial intelligence. Key areas include analyzing gaze patterns and body language using machine learning models like Xception and ResNet50V2 for earlier and more accurate diagnosis, and developing AI-powered communication tools to facilitate interaction and improve social skills. These technological advancements aim to enhance the effectiveness of existing therapeutic approaches and provide more personalized support for autistic children and their families, ultimately improving their quality of life.