Automated employee self-service and payroll processing for charitable contributions

An automated machine learning predictive modeling system for matching donors and charitable projects, comprising:

• a computer system;
• a processor unit;
• and
• a corporate social responsibility system in communication with the processor unit,
• wherein the corporate social responsibility system comprises:
• a user interface generator configured to generate a self-service user interface for display on a display device, wherein the self-service user interface is configured to prompt an operator to identify preferences for charitable projects and includes a display of project information for suggested charitable projects for the operator;
• an input receiver configured to receive the preferences for charitable projects identified by the operator via the self-service user interface;
• a charitable giving profile generator configured to generate a charitable giving profile for the operator from the preferences for charitable projects identified by the operator;
• a suggested charitable projects identifier configured to identify using a machine learning model the suggested charitable projects for the operator using the charitable giving profile for the operator;
• a distribution indicator configured to identify suggested charitable projects and donation amounts approved by the operator for distribution via the self-service user interface;
• training of the machine learning model in the suggested charitable projects identifier in response to receiving from the operator via the self-service interface selections of approved and rejected charitable projects and donation amounts from the suggested charitable projects;
• and
• a payroll processing system for processing pay for the operator including a donation of funds from the pay for the operator to the suggested charitable projects selected by the operator.