Aggregating and processing heterogeneous data from public institutions

The system designed as a web application. Its task is to aggregate data from the financial sector - both national and international. The system uses AI algorithms - e.g. for detecting anomalies in data, collected by public institutions. The next stage of implementation includes automation of power supply from public institution systems and presentation of Metaverse resources in 2D and 3D. The solution will be integrated with AI modules for predicting and detecting correlations between variables.