In the evolving landscape of higher education, integrating information technology into Wushu teaching management presents an opportunity to elevate teaching standards. This paper investigates the development of an innovative platform for Wushu instruction, utilizing cutting-edge video analysis techniques to enhance learning outcomes. By analyzing video data from Hikvision DS-2CD2051-1 webcams with advanced preprocessing methods, we demonstrate the effectiveness of the Single Shot MultiBox Detector (SSD) algorithm in improving action recognition over conventional CNN approaches. Our results reveal a notable enhancement in the quality of Wushu movement evaluation, evidenced by a 72.02% accuracy rate and a 0.3865 Mean Squared Error (MSE). The deployment of this technology in a university setting not only fosters a significant uplift in student performance but also boosts their engagement and satisfaction levels. This paper contributes to the discourse on educational technology by offering a successful model for the digital Transformation of Wushu teaching in academic institutions.