Bilingual Competitive Exam Question Bank Digitization and Structuring
Pain Points (Public)
EdTech platforms and test-prep institutions struggle to convert public exam past papers into usable question databases because official tests are distributed as multi-column bilingual PDFs (such as Hindi and English). Manually transcribing questions, four-choice options, and answer keys into spreadsheets frequently results in language misalignment, missing question options, and formatting errors.
Suggested Approach (Public)
Implement a standardized extraction and formatting pipeline to parse past examination papers into structured Excel spreadsheets, organizing each record with aligned bilingual text, separated multiple-choice fields, subject metadata, and verified answer keys.
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Opportunity assessment PRO
Development brief PRO
- Position as a specialized Python and OCR extraction pipeline specifically built to ingest multi-column Hindi-English bilingual PDF past papers (such as SSC and RRB) and output structured tabular schemas.
- Build a core Python OCR parser using Pandas to extract text and bounding boxes from dual-column English and Hindi PDF exam papers.
Competitor evidence PRO
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