Since the 1980s, various art and cultural activities from the West have been widely disseminated in our country, and sports dance is one of the most popular projects among them. However, the training for sports dance mostly stays in the traditional classroom, and is not combined with deep-learning techniques. We focus on the video analysis and intelligent diagnosis system of sports dance training projects. During the research process, we developed an intelligent platform dedicated to training projects and combined it with the signal processing diagnostic system. The effect of training will ultimately lead to better competition results. From the experimental data, in this test of ten dance styles, the highest comprehensive score is Waltz’s 8.93 points, and the lowest comprehensive score is Samba’s 8.312 points. Moreover, the system designed is superior to the traditional multimedia system in performance comparison, which can provide better help for sports dance training. On the whole, the application of the intelligent diagnosis system developed in sports dance training projects meets the expected demand.