Systems and methods for generation and traversal of a skill representation graph using machine learning
Abstract:
Systems and methods for generation and traversal of a skill representation graph using machine learning is provided. The system includes a computing device configured to receive a plurality of data of a plurality of individuals including individual skill levels corresponding to a common skill of a plurality of common skills. The computing device determines a relative skill level of the plurality of individuals from the plurality of data and generate a skill representation graph representing a plurality of skill interrelations. Generating the graph further includes generating a plurality of nodes representing a skill, generating a plurality of interconnections representing a process and/or path to master a subsequent skill of a first skill, generating the plurality of interrelations as a function of at least the plurality of data and a machine-learning model, and assembling the graph. The system finally includes a user device configured to display the skill representation graph.
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