Abstract: Systems and methods include receiving visual representations of components in network elements in a network; responsive to training a machine learning model to evaluate the visual representations, analyzing the visual representations using the machine learning model to determine a status of the components; and providing the status of the components to an inventory application for any of updating the inventory application and reconciling existing data in the inventory application.

Abstract: Systems and methods include receiving visual representations of components in network elements in a network; responsive to training a machine learning model to evaluate the visual representations, analyzing the visual representations using the machine learning model to determine a status of the components; and providing the status of the components to an inventory application for any of updating the inventory application and reconciling existing data in the inventory application.

Abstract: Methods for evaluating a system to determine the status of the system are provided in the present disclosure. In one implementation, a method may be configured to include a step of obtaining one or more visual representations of one or more components of a network system. Responsive to training a Machine Learning (ML) model to evaluate the one or more components of the network system, the method may also include a step of analyzing the one or more visual representations using the ML model for evaluating a status of the one or more components of the network system.