The ongoing transition of electric grids has posed significant operational challenges for System Operators (SOs), which has led to the implementation of new data-based techniques and analysis. Various system operators and research projects have started to share different datasets, especially frequency data. This work proposes the development of a system based on LSTM networks for the detection of contingencies and the identification of characteristic patterns in frequency signals, while only storing relevant information. Therefore, it showcases a new tool that contains actual classified frequency events obtained from phasor measurement unit (PMU) recordings in the Chilean electric system.