The aim of the project is to develop a GIS module based on the methods of intelligent anomaly detection for deep predictive and prospecting modeling of deposits, to build a complex predictive and mineragenic model consisting of geochemical and geophysical parts and digital modeling by methods of inverse problems of geochemistry and geophysics, to apply algorithms for implementing gradient methods for solving discrete analogs of inverse problems and testing the developed GIS module on real multi-scale geological objects.