Cython, Numba, etc.
If the objective is performance, there are already multiple solutions for converting Python source code to C or C++. Some are domain specific and intended to just convert a few functions, but some like Cython will do the entire program (to C in this case). Cython has been around for years and is widely used.
The thing is that there is little or no real demand for converting Python to C or C++ and then throwing away the Python and using the C or C++ as the new code base. Things like Cython are used by people who want to write code in Python and compile to machine code. The C or C++ are just used as a form of intermediate code in the compilation step, and the user doesn't normally look at it.
In certain particular applications, the resulting binary is faster than the Python version. However, in other applications, the C or C++ actually runs slower than the Python version. This is why the technique has specific applications (such as numerical algorithms) instead of everyone using it on everything.
The subject of converting Python to C or C++ has been very thoroughly researched by multiple people, and the conclusion that everyone seems to reach is that while it can work in some cases, in order for a static language such as C or C++ to be able to do everything that a dynamic language such as Python can do, it would have to incorporate the equivalent of a Python interpreter inside it.
And indeed this is what Cython actually does. It does what it can in C, but it also calls back into the Python interpreter to do many things. The overhead involved in this means that the translated C program can be slower than the interpreted Python program.
The way these tend to get used in practice is that people benchmark their Python programs, identify bottlenecks, and if they are a good candidate for using Cython, write just those parts in Cython and call them as a function. It's basically used by people who want the equivalent of C extension (many Python libraries are actually written in C) but don't want to write it in C. You can gradually add code hints for the Cython compiler to help it generate better C code.
So, while this may be an interesting research project, it's not introducing anything revolutionary.