Automate AI Lecture Notes Rewriting

I have a collection of lecture notes saved as PDFs and I need a hands-off way to turn them into freshly rewritten versions with the help of an AI engine. The ideal outcome is a repeatable workflow—script, notebook, or lightweight app—that ingests each PDF, extracts the text cleanly (including tables, bullet points, and equations where possible), feeds it to the chosen large-language-model API, and delivers a polished, reformatted document ready for students.

Here’s what matters most to me:

• End-to-end automation: once I drop a new PDF into a folder, the pipeline should run without manual prompts.
• Accuracy in text extraction: no missing paragraphs or garbled symbols.
• Configurable rewriting parameters: I want to tweak tone, depth, or length later without changing the codebase.
• Output in an editable format—DOCX or Markdown preferred—so I can make quick last-minute adjustments.
• Clear documentation and a brief video or README showing how to install, set environment variables (API keys, model choice), and run the tool.

Please leverage whichever stack feels natural—Python with PyPDF2 or java+ LangChain + OpenAI API is fine, but I’m open to alternatives such as Node, JavaScript, or even a low-code setup if it stays fully automated.

Acceptance criteria: I’ll supply a sample PDF; your solution should rewrite it in one pass, retain structure, and run locally on macOS without errors.

If there’s anything you need clarified before starting, just let me know.