Abstract: A method includes receiving fellow skill graphs and electronic calendar objects; processing the fellow skill graphs and the electronic calendar objects using a trained machine learning model to predict sessions; and displaying the sessions. A computing system includes a processor; and a memory having stored thereon executable instructions that, when executed by a processor, cause the computing system to: receive fellow skill graphs and electronic calendar objects; process the fellow skill graphs and the electronic calendar objects using a trained machine learning model to predict sessions; and display the sessions. A non-transitory computer-readable medium includes executable instructions that, when executed, cause a computer to: receive fellow skill graphs and electronic calendar objects; process the fellow skill graphs and the electronic calendar objects using a trained machine learning model to predict sessions; and display the sessions.

Abstract: A computing system for generating a dynamic path for a fellow, includes a processor and a memory storing instructions that when executed by the processor cause the computing system to receive the fellow's skill graph, receive a target skill, receive a calendar object and generate the dynamic path including a task and/or a session. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to receive the fellow's skill graph, receive a target skill, receive a calendar object and generate the dynamic path including a task and/or a session. A method for generating a dynamic path for a fellow includes receiving the fellow's skill graph, receiving a target skill, receiving a calendar object and generating the dynamic path including a task and/or a session.