Artificial intelligence (ai)-based system and method for generating system architecture representations

Abstract

Systems and methods for generating system architecture representation by implementing machine learning (ML) techniques are disclosed. The system receives a request for generating system architecture representation from at least one user and generates an architecture summary for the received request. Further, the system determines an architecture pattern relevant to the received request based on a context of the generated architecture summary using the large language models and machine learning (ML) models. The system further generates an architecture code corresponding to the received request. The system validates the generated architecture code for determining errors in the generated architecture code based on compliance-based rules, legal-based rules, and security-based rules specific to an organization using the machine learning (ML) models. The system further generates the at least one system architecture representation based on successful validation and outputs the generated architecture code and the at least one system architecture representation on a user interface.