Orris

..I have given you this pdf from our book I want you to create me a pdf like you did before and this time, include every point given remove any unnecessary info and include the pics and charts in between, give me a in-depth pdf so that I never have to rely on any other sources and this is pediatrics book I have taken reference from ......highlight the important points taking reference from online pyqs that have come in INICET and NEET PG

Reading File
Let me first extract the full content from the uploaded PDF to understand what topic it covers.
Running Command

cd /home/daytona/workspace/attachments/c6e1f4aa-22fd-4790-be32-7d1e155dba88/ && python3 -c " import pdfplumber with pdfplumber.open('DOC-20260713-WA0001..pdf') as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages[:3]): print(f'\n=== PAGE {i+1} ===') print(page.extract_text()) "

The PDF appears to be image-based (scanned). Let me use OCR to extract text and also extract the images.
Running Command

cd /home/daytona/workspace/attachments/c6e1f4aa-22fd-4790-be32-7d1e155dba88/ && python3 -c " from pypdf import PdfReader import fitz # pymupdf doc = fitz.open('DOC-20260713-WA0001..pdf') print(f'Pages: {doc.page_count}') # Try to get text from first few pages for i in range(min(3, doc.page_count)): page = doc[i] text = page.get_text() print(f'\n=== PAGE {i+1} ===') print(repr(text[:500])) # Check for images img_list = page.get_images() print(f'Images on page {i+1}: {len(img_list)}') "

Running Command

pip install --user pymupdf --quiet && python3 -c "import fitz; print('fitz OK')"

Running Command

cd /home/daytona/workspace/attachments/c6e1f4aa-22fd-4790-be32-7d1e155dba88/ && python3 -c " import fitz doc = fitz.open('DOC-20260713-WA0001..pdf') print(f'Pages: {doc.page_count}') for i in range(min(4, doc.page_count)): page = doc[i] text = page.get_text() print(f'\n=== PAGE {i+1} ===') print(repr(text[:300])) img_list = page.get_images(full=True) print(f'Images: {len(img_list)}') "

The pages have no extractable text but are image-heavy - it's a fully scanned book. I need to convert pages to images and use OCR, then also analyse the content with vision AI. Let me convert all pages to images first, then analyse them.
Running Command

mkdir -p /home/daytona/workspace/pediatrics-pdf/pages && cd /home/daytona/workspace/attachments/c6e1f4aa-22fd-4790-be32-7d1e155dba88/ && python3 -c " import fitz doc = fitz.open('DOC-20260713-WA0001..pdf') print(f'Total pages: {doc.page_count}') for i in range(doc.page_count): page = doc[i] # Render at 2x resolution for better OCR mat = fitz.Matrix(2, 2) pix = page.get_pixmap(matrix=mat) pix.save(f'/home/daytona/workspace/pediatrics-pdf/pages/page_{i+1:02d}.png') print(f'Saved page {i+1}') print('All pages saved.') "

Good, all 19 pages are saved. Now let me analyse the first few pages to understand the topic, then I'll use OCR to extract all text. Let me analyse pages 1-2 to understand what topic this is about:
analyse_media
I need to use OCR (tesseract) to extract the text from these images. Let me do that for all pages:
Running Command

which tesseract && tesseract --version

Running Command

cd /home/daytona/workspace/pediatrics-pdf/pages && for i in $(seq -w 1 19); do tesseract page_${i}.png /home/daytona/workspace/pediatrics-pdf/ocr_page_${i} --oem 3 --psm 3 2>/dev/null; done && echo "OCR done" && ls /home/daytona/workspace/pediatrics-pdf/ocr_page_*.txt | wc -l

Running Command

cat /home/daytona/workspace/pediatrics-pdf/ocr_page_01.txt

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