PRIME is a Marie Sklodowska-Curie Individual Fellowship project (H2020-MSCA-IF-EF-ST), funded under the grant agreement number 101032925, that aspires to enable predictive diagnostics concerning the reliability aspects of RF MEMS instigated during their high power operation. This will be achieved by combining the outcomes of conventional reliability testing with the strength of machine learning techniques towards failure predictions. The project relies on an interdisciplinary workplan that will be further reinforced by two secondment placements, one focusing on RF design (RF Microtech, Italy) and a second one putting emphasis on machine learning techniques (Imperial College London, UK). Overall PRIME envisions to present a smart reliability approach that will directly benefit the development of next generation reconfigurable power RF transceivers.