Enhance Python Amazon Automation Bot

I have an Amazon automation bot written entirely in Python, but its speed and reliability have recently declined, and I need a strong, flexible update for it. Some of the data it returns is inaccurate, and the two-step verification process — including the OTP sending mechanism, which is the bot’s core and final task — doesn’t function properly or with a high success rate, causing the entire operation to fail.

My goal is to restore the script to peak performance — faster execution, higher data accuracy, and a verification process that succeeds every single time.

To achieve this, the code needs performance profiling, refactoring, and improvements in how it handles Amazon’s constantly changing front end.
If you’re comfortable optimizing Python performance using tools like Selenium, Requests, BeautifulSoup, or similar, you’ll be a perfect fit for this project.
All the libraries currently used in the project and the bot that needs optimization are shown in the attached image within the project details.

Deliverables:

Optimized and well-documented Python code

Performance report showing measurable improvements in speed and accuracy

Reliable, fast, and robust OTP sending mechanism (≥95% success rate)

Acceptance Criteria:

The updated bot must be able to:

Complete a full run on a headless mode in less than half the current runtime

Return 100% accurate results on a test set of 50 messages for up to fifty numbers (or fewer, depending on startup configuration)

I’ll share the current project and bot once we agree on the work plan.
Let’s bring this bot back to life.