Kindly Convert the pdf file MCQs into Code JSX MCQs file for practicing the MCQs Note: 1. Every thing remain same like give 4 same optionand give short information about the wrong MCQs 2. Create same sets and Also mention the same chapter names like Heterocyclic compounds, Reaction mechanisms. Note: from page no 1 to 23

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Running Command

cd /home/daytona/workspace && python3 -c " import pdfplumber pdf_path = '/home/daytona/workspace/attachments/ff16d002-cd6a-42fc-9184-1e84336caa68/Organic MCQS.pdf' with pdfplumber.open(pdf_path) as pdf: print(f'Total pages: {len(pdf.pages)}') # Extract pages 1-23 for i in range(min(23, len(pdf.pages))): page = pdf.pages[i] text = page.extract_text() print(f'\\n===PAGE {i+1}===') print(text) " 2>&1 | head -500

The PDF is scanned (image-based). I need to use OCR. Let me run OCR on pages 1-23.
Running Command

which tesseract && tesseract --version 2>&1 | head -3

Running Command

python3 -c " import pdf2image from PIL import Image import pytesseract import os pdf_path = '/home/daytona/workspace/attachments/ff16d002-cd6a-42fc-9184-1e84336caa68/Organic MCQS.pdf' out_dir = '/home/daytona/workspace/ocr_output' os.makedirs(out_dir, exist_ok=True) # Convert pages 1-23 to images images = pdf2image.convert_from_path(pdf_path, first_page=1, last_page=23, dpi=300) print(f'Converted {len(images)} pages') all_text = '' for i, img in enumerate(images): text = pytesseract.image_to_string(img, lang='eng') all_text += f'\\n===PAGE {i+1}===\\n' + text print(f'Page {i+1} done, chars: {len(text)}') with open(f'{out_dir}/pages_1_23.txt', 'w') as f: f.write(all_text) print('Done! Saved to', out_dir) " 2>&1

Memory killed at 300 DPI. Let me use lower DPI and process in smaller batches.
Running Command

python3 -c " import pdf2image import pytesseract import os pdf_path = '/home/daytona/workspace/attachments/ff16d002-cd6a-42fc-9184-1e84336caa68/Organic MCQS.pdf' out_dir = '/home/daytona/workspace/ocr_output' os.makedirs(out_dir, exist_ok=True) all_text = '' # Process 2 pages at a time at 200 DPI to reduce memory for start in range(1, 24, 2): end = min(start+1, 23) images = pdf2image.convert_from_path(pdf_path, first_page=start, last_page=end, dpi=200) for j, img in enumerate(images): page_num = start + j text = pytesseract.image_to_string(img, lang='eng') all_text += f'\\n===PAGE {page_num}===\\n' + text print(f'Page {page_num} done, chars: {len(text)}') del images with open(f'{out_dir}/pages_1_23.txt', 'w') as f: f.write(all_text) print('All done!') " 2>&1

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I now have enough data. I can see the structure clearly:
  • Set 1 (pages 1-3): General Organic Chemistry (30 questions, answers on page 4)
  • Set 2 (pages 5-8): General Organic Chemistry (30 questions, answers on page 8)
  • Set 3 (pages 9-12): Arndt-Eistert Reaction/Reaction Mechanisms
  • Set 4 (page 13+): Diels-Alder / Heterocyclic compounds
  • Set 5 (pages 17-23): Inductive/Mesomeric/Hyper-conjugation effects
Let me also check pages 300-600 range to capture sets I missed:
Reading File
I now have a comprehensive picture of all sets and chapters. Let me now build the complete JSX file with all MCQs properly structured.
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