Multi-messenger observations of gravitational waves and their associated electromagnetic emission from compact binary coalescences offer unique insights into physics, astrophysics and cosmology. However, the presence of detector noise transients makes real-time searches for gravitational waves challenging. We developed GWSkyNet, an LVK machine learning pipeline capable of evaluating, and determining the origin of, gravitational wave candidates in a matter of seconds. We describe the successful application of GWSkyNet and its potential future development.