Scope of Work: 1. PDF Processing Extract structured content from PDFs Detect and separate: Headings Paragraphs Equations (must remain unchanged) Figures/diagrams 2. AI Rewriting Integration Integrate with ChatGPT API (or equivalent) Rewrite content: Without plagiarism Maintain same word count (+/- 5%) Preserve technical accuracy 3. Equation Protection System Restore them accurately after processing 4. Figure & Diagram Handling Detect figures from text Recreate graphs using Python (matplotlib or similar) Save figures as images and insert in output 5. Automation Workflow (n8n) Build workflow using n8n Steps: Input (PDF upload / folder monitoring) Processing Rewriting Output generation 6. Output Generation Generate final files in: DOCX (preferred) PDF (optional) Proper formatting: Title pages Preface About Author Table of Contents 7. Bulk Processing Handle batch processing (50–100 books per batch) Logging and error handling required Technical Requirements: Strong Python skills Experience with: PDF parsing (PyMuPDF / pdfplumber) AI API integration (OpenAI) Text processing (regex, NLP) matplotlib (for graphs) Experience with automation tools (preferred): n8n / Zapier / custom pipelines Deliverables: Fully working automation system Source code (well documented) n8n workflow setup Instructions for running system Bonus (Preferred but Optional): Experience with large-scale automation Experience in publishing / ebook formatting Ability to optimize API cost Budget: (Open to proposals – fixed or milestone-based) To Apply: Please include: Relevant past work/projects Experience with similar automation Your approach to this project Estimated timeline