Abstract: The present disclosure belongs to the technical field of intelligent kin recognition, and relates to a new biological kin recognition method and system based on unsupervised clustering of mRNA bases, including the following steps: step S1, extracting base codons from an mRNA chain, and re-encoding the base codons according to encoding rules; step S2, converting a re-encoded base chain into a document capable of being identified by a model; step S3, inputting the document into the model to vectorize base texts, and clustering vectorized base texts; and step S4, visualizing clustering results to obtain a biological kin recognition result. The present disclosure does not need to artificially annotate the data, saves labor costs, and avoids effects of artificial factors on taxonomical results, featuring simple use, efficient program run, and fast speed.