A system for generating a vibrant compatibility plan using artificial intelligence, comprising a server configured to receive at least a composition datum from a user client device wherein the at least a composition datum includes at least an element of user body data and at least an element of desired dietary state data, select at least a correlated dataset, create at least an unsupervised machine-learning model including at least a hierarchical clustering model to output at least a compatible food element, generate at least a vibrant compatibility plan wherein the at least a vibrant compatibility plan further comprises a plurality of compatible food elements each containing at least a food element compatibility index value score as a function of the at least a hierarchical clustering model.