Abstract

Today's autistic children find it difficult to deal with people's emotions socially and tend to isolate themselves. VideoHarmony is an innovative approach designed to help children with Autism Spectrum Disorder (ASD) maintain their emotional health. Using convolutional neural networks and Haar Cascade to power advanced facial emotion recognition, the system can accurately understand facial expressions in real time. The video recommendation feature creates playlists that dynamically adjust based on the child's detected emotions through collaborative and content-based filtering algorithms. The user interface offers customizable options and an easy-to-use emotion panel for caregivers or parents. With the help of studies, user comments and observations, the positive effects of the system on the emotional states and activities of children are shown. The secret to VideoHarmony's success is its ability to provide personalized and responsive emotional support by combining cutting-edge technology with an intuitive user experience.