Method and system for generating work items for project management system (pms)

A system for generating work items for PMS, the system comprising:

• a processor;
• and
• a memory communicatively coupled to the processor, wherein the memory stores processor executable instructions, which, on execution, cause the processor to:
• receive, via a user interface, input data corresponding to a user selected project from a user device, wherein the input data comprises a user selected work item type and a project identifier (ID) corresponding to the user selected project;
• iteratively generate one or more work items corresponding to the user selected work item type based on a final breakdown prompt using a Large Language Model (LLM), wherein the final breakdown prompt comprises the input data and a work item-specific breakdown prompt template;
• validate each of the one or more work items based on a set of work item validation parameters;
• for each work item of the one or more work items,
• upon successful validation, generate definition details corresponding to the work item based on a final definition prompt using the LLM, wherein the final definition prompt comprises the input data, the one or more work items, and a work item-specific definition prompt template;
• validate the definition details of the work item based on a set of definition validation parameters;
• and
• upon successful validation, render, via the user interface, the one or more work items on the user device.

A non-transitory computer-readable medium storing computer-executable instructions for generating work items for PMS, the computer-executable instructions configured for:

• receiving, via a user interface, input data corresponding to a user selected project from a user device, wherein the input data comprises a user selected work item type and a project identifier (ID) corresponding to the user selected project;
• iteratively generating one or more work items corresponding to the user selected work item type based on a final breakdown prompt using a Large Language Model (LLM), wherein the final breakdown prompt comprises the input data and a work item-specific breakdown prompt template;
• validating each of the one or more work items based on a set of work item validation parameters;
• for each work item of the one or more work items,
• upon successful validation, generating definition details corresponding to the work item based on a final definition prompt using the LLM, wherein the final definition prompt comprises the input data, the one or more work items, and a work item-specific definition prompt template;
• validating the definition details of the work item based on a set of definition validation parameters;
• and
• upon successful validation, rendering, via the user interface, the one or more work items on the user device.