The reconstruction of turbulent data is a crucial task in fluid dynamics. The gappy POD method is a novel approach that has gained significant attention in recent years. This method involves the use of Proper Orthogonal Decomposition (POD) to reconstruct the missing data in turbulent flows. The gappy POD method has been shown to be effective in reconstructing turbulent data, especially in cases where the missing data is sparse. However, the method requires careful selection of the POD modes and the reconstruction parameters to achieve optimal results. In this research activity, we aim to investigate the performance of the gappy POD method in reconstructing turbulent data and to explore its potential applications in various fields such as aerospace and mechanical engineering.