Abstract: Systems and methods of the present invention provide for a server computer to receive, from a client GUI a request for a recommendation, the request including a designation of available time. The server then queries activity data for the user to identify an objective category associated with the user activity and an assessment score for the user below a defined threshold. The server then queries a recommended activity data, tagged with the identified category and a time requirement equal to or less than the designation of available time. The server then generates a GUI including a report of the assessment score below the threshold and the recommended activity.

Abstract: Systems and methods of the present invention provide for a server computer to receive, from a client GUI a request for a recommendation, the request including a designation of a desired assessment score. The server then queries activity data for the user to identify an objective category associated with the user activity and an assessment score for the user below a defined threshold. The server then queries a recommended activity data, tagged with the identified category and a score weighting defining an increase to the assessment score. The server then generates a GUI including a report of the assessment score below the threshold and the recommended activity.

Abstract: Systems and methods of the present invention provide for a server computer to receive, from a client GUI a request for a recommendation, the request including a designation of a desired assessment score. The server then queries activity data for the user to identify an objective category associated with the user activity and an assessment score for the user below a defined threshold. The server then queries a recommended activity data, tagged with the identified category and a score weighting defining an increase to the assessment score. The server then generates a GUI including a report of the assessment score below the threshold and the recommended activity.

Abstract: Systems and methods of the present invention provide for a server computer to receive, from a client GUI a request for a recommendation, the request including a designation of a desired assessment score. The server then queries activity data for the user to identify an objective category associated with the user activity and an assessment score for the user below a defined threshold. The server then queries a recommended activity data, tagged with the identified category and a score weighting defining an increase to the assessment score. The server then generates a GUI including a report of the assessment score below the threshold and the recommended activity.

Abstract: Systems and methods of the present invention provide for a server computer to receive, from a client GUI a request for a recommendation, the request including a designation of a desired assessment score. The server then queries activity data for the user to identify an objective category associated with the user activity and an assessment score for the user below a defined threshold. The server then queries a recommended activity data, tagged with the identified category and a score weighting defining an increase to the assessment score. The server then generates a GUI including a report of the assessment score below the threshold and the recommended activity.

Abstract: Systems and methods of the present invention provide for a server computer to receive, from a client GUI a request for a recommendation, the request including a designation of available time. The server then queries activity data for the user to identify an objective category associated with the user activity and an assessment score for the user below a defined threshold. The server then queries a recommended activity data, tagged with the identified category and a time requirement equal to or less than the designation of available time. The server then generates a GUI including a report of the assessment score below the threshold and the recommended activity.

Abstract: Systems and methods of the present invention provide for a server computer to receive, from a client GUI a request for a recommendation, the request including an identification of multiple users. For each of these users, the server then queries activity data to identify an objective category associated with each user activity and an assessment score for the user below a defined threshold. The server then executes a predictive analytics algorithm predicting the assessment score at a future date, and queries a recommended activity data, tagged with the identified category. The server then associates each user with a group identified according to the assessment score and a recommendation, then generates a GUI including a report displaying each group.