AIGC Classroom Quality Diagnosis leverages advanced AI audio-video analysis, natural language processing, and large model technologies to deeply mine multi-dimensional classroom teaching data. It provides detailed analysis of two key subjects—teachers and students—across three dimensions: teaching performance, learning engagement, and teacher-student interaction. This helps teachers identify instructional issues, reflect on their teaching process, and improve their practice. It also empowers schools to comprehensively monitor classroom teaching quality, efficiently detect problems, and continuously enhance overall educational quality.