This allows for preserving the object-oriented structure during the conversion. Object-Oriented Paradigm Mapping: AI models recognize the object-oriented nature of both C++ and Python and can translate C++ classes and objects into their Python counterparts.This ensures that the converted code utilizes the appropriate libraries and maintains the desired functionality. Library and Module Mapping: AI models identify common libraries and modules used in C++ and suggest their equivalents in Python.This analysis helps generate Python code that achieves the same functionality, ensuring a correct translation. Semantic Analysis: AI models analyze the semantics of the C++ code to understand its purpose and behavior.This involves mapping data types, control structures, and function calls between the two languages. Syntax Translation: AI models learn the syntax and language rules of both C++ and Python and utilize that knowledge to convert C++ code to equivalent Python code.Primary Features of Conversion from C++ to Python using AI
