Abstract: A computer-implemented process for facilitating generation of a user interface design. The computer-implemented method provides for one or more processors to identify one or more elements added to a screen design by a first designer. The one or more processors predict one or more next elements of the screen design, based on the identified one or more elements added to the screen design and a learning model trained by machine learning techniques using a convolutional neural network. The one or more processors present the one or more next design elements as a recommendation to the first designer. The one or more processors determine a selection decision made by the first designer of the one or more next elements from the recommendation, and the one or more processors update learning model, based on selection decisions made by the first designer.

Abstract: An approach for optimizing the selection of team members on a project team. The approach retrieves data associated with prospective members of a project team. The approach generates team member personality scores based on a machine learning model. The approach generates a team compatibility score based on a portion of the prospective team member personality scores. The approach calculates a predicted project success score based on the team compatibility score. The approach assigns prospective team members to the team based on maximizing the predicted project success score.

Abstract: An approach for predicting team dynamics based on changing circumstances. The approach retrieves profiles associated with a group of first team members of a project team. The approach selects a virtual reality (VR) scenario to interact with the group of first team members. The approach executes the VR scenario based on the profiles. The approach receives VR input from an interacting team member interacting with the VR scenario. The approach predicts responses of the group of first team members to the VR input. The approach analyzes the responses and provides the interacting team member a ranked list of scenario outcomes.

Abstract: An approach for creating avatars of team members on a project team. The approach retrieves data associated with team members of a project team. The approach creates avatars of the team members based on the data. The approach displays the avatars to the team members, requesting permission to from the team members to use the avatars to represent the team members. With permission, the approach creates a plurality of avatars of different dimensions to use on different platforms. The approach displays the avatars during online team meetings as a representation of the respective team member.