Abstract: A method for dynamically allocating transaction-bound attributes associated with at least one member account by generating a personalized waiting period of the transaction-bound attributes using a machine learning model is provided.

Abstract: A method of implementing rules on visual language using a user selectable visual programming blocks is provided. The method includes providing a visual programming window for receiving a user selection on the visual interface of the user device, wherein the user selection includes a category of visual programming blocks out of a plurality of categories and a selection of a plurality of sub-categories of the visual programming blocks from a plurality of selectable sub-categories of the visual programming blocks, parsing the user selection of (i) the category of visual programming block and (ii) the sub-category of the visual programming blocks, generating a rules program at the rules database comprising the category and the sub-categories of rules from the rules database based on the one or more domain specific language code, wherein the rules program is based on the user selected sequence arrangement of the visual programming blocks at the visual programming window.