I’m running my app inside a Windows-based Python virtual environment. The software itself already retrieves data from our mobile application flawlessly; I simply want to modernise the toolchain. The key goal is to move PaddleOCR from 2.8.1 to 3.2 so I can use the new features introduced in that release. While you’re in there, OpenCV—and any other libraries that must change to keep everything compatible—need to be bumped to matching, stable versions. Scope of work • Audit the current pip-freeze or requirements.txt, noting version constraints. • Upgrade PaddleOCR to 3.2 within the existing venv (no fresh rebuild preferred). • Update OpenCV and resolve any dependency conflicts that emerge. • Run my end-to-end data-collection workflow to confirm nothing breaks and the new OCR features work as expected. • Deliver a concise change log plus an updated requirements file so I can recreate the environment later. You’ll have remote access to the Windows machine or a zipped copy of the virtualenv—whichever you prefer. Please be comfortable compiling or installing wheels on Windows and troubleshooting OpenCV bindings. If you’ve handled PaddleOCR upgrades before, let me know; I’d like to get this wrapped up quickly. NOTE: The budget is fixed at $10, and the deadline is 1 day. Please do not submit an offer unless you can fully meet both conditions, as proposals outside these terms will be disqualified.