System and method for determining one or more defects in one or more components

A system for determining one or more defects in one or more components, the system comprising:

• a memory;
• a processor communicatively coupled to the memory, the processor is configured to:
• receive a first user input indicating a selection of a pre-stored application domain, wherein the first user input is received via a graphical-user-interface (GUI);
• receive a second user input via the GUI, the second user input indicates a threshold value associated with an attribute for each of the one or more components;
• receive a third user input via the GUI, the third user indicates one or more external variables associated with an environment at an application site;
• determine a machine learning (ML) model among a plurality of pre-stored ML models based on the first user input, the second user input, and the third user input;
• generate component characteristics, using the determined ML model, wherein the component characteristics indicate physical and chemical features of the one or more components present in the application site;
• and
• determine the one or more defects in the one or more components based on correlating the component characteristics with the threshold value, the one or more defects indicate deviation or anomaly in the attribute of each of the one or more components.