How to effectively combine modern digital technology and the results of the experience accumulated in the traditional party building work, effectively solve the problems existing in the traditional party building work, so that the party building work carried out transparently and efficiently has become a new issue and challenge. In this paper, the overall framework of an intelligent party building system is designed based on the necessity of digital transformation of building activities and performance requirements. The system is divided into four modules: party building management, service management, statistical analysis, and system management, and the functions of each module have been designed and integrated. Based on the principles of database design, a conceptual structure design is proposed, and the association rules and FP-growth algorithm are utilized to perform association mining on party-building activity data. The results of the association rule mining test show that the fluctuation range of confidence and support is between [0.9148, 0.9587] and [0.9048, 0.9348], respectively, and the system passed the association rule mining test. The majority of people believe that using the party building information platform is beneficial for conducting party-building activities. 80% of the users think that the party building system platform is better and meets their needs for use.