Build a ML Model in Python to check many product titles and check similarity to classify same products

I am looking for a python developer to build a Machine Leaning Model to check product titles (I will provide the product titles manually) and classify similar products by checking the title by using machine learning or any existed python libs such as fuzz, ntlk, rake-ntlk, etc... or combination of all of them to realizing the same products which may have different titles.
The ideal output format for the function results would be a simple Boolean to tell us product either is the same as others or not.

The developer should have experience in python programming and machine learning.
We need to have accuracy close to 100%.
If you want to use ML for this job, you need to implement learning part for ML Model to improve accuracy of ML model too.

1st title: Logitech MX Master 3 Advanced Wireless Mouse
2nd title: Logitech MX Master 3S - Wireless Performance Mouse with Ultra-Fast Scrolling, Ergo, 8K DPI, Track on Glass, Quiet Clicks, USB-C, Bluetooth, Windows, Linux, Chrome (Black)
3rd title: Logitech MX Master 3 Advanced Wireless Mouse and Knox 4-Port USB Hub Bundle (2 Items)
4th title: Logitech - MX Master 3 Advanced Wireless USB/Bluetooth Laser Mouse with Ultrafast Scrolling - Mid Gray
5th title: Logitech - MX Master 3S for Mac Bluetooth Laser Mouse with Ultrafast Scrolling - Space Gray
6th title: Logitech MX Master 3s Mouse (Space Gray)

in this case:
title 1, 3, 4, 6 should return as a same products.
title 2nd and 5th should return as same products too.