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Web Scraping & NLP on PDFs

Topic‑Specific CorporaOCR + NLP

Context: Academic research at IIM Indore requiring extraction and analysis of text from PDF‑based research papers for topic‑specific corpora.

Challenge: Research papers were locked in PDF format with inconsistent layouts, embedded images, and varying quality. Needed to extract clean text and identify dominant terms within specific research domains.

Solution: Built an end‑to‑end pipeline:

Outcome: Delivered structured, searchable corpora for academic analysis, enabling researchers to quickly identify key themes, trends, and patterns across large document collections.

Tech Stack:

PythonOCRNLPTF‑IDFBeautifulSoupPyPDF2Tesseract