With the development of Internet technology, the application of big data and artificial intelligence (AI) can be seen more and more. Therefore, in modern society, people are no longer satisfied with simple learning and research, but are increasingly pursuing a more in-depth and comprehensive exploration. The talent competency model prediction platform is an important tool in current talent selection and management. However, current research has shortcomings in terms of prediction accuracy and efficiency. This article introduced a talent competency model prediction platform based on intelligent interactive personality testing software and intelligent clustering analysis. This platform utilized advanced technological means to analyze individual personality traits and perform intelligent clustering to predict their competence in the workplace. Research has shown that this method can significantly improve the efficiency and accuracy of talent selection and development, providing decision-making support for enterprises. The average efficiency was 93.92%, and the average accuracy reached 93.4%. In addition, it can significantly reduce costs.