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07 / 07 · Cloud Nine Solutions · 2023 — 2024

Verifying certificates with OCR and a public ledger

WorkCV/AI · Full-stackShippedPython · EasyOCR · Django · MySQL · Hedera Hashgraph

01Problem

[Problem]

02Design & tradeoffs

[Design and tradeoffs]
[Image — certificate OCR]
Fig. 1 — [Caption]
[Screenshot — Django web app]
Fig. 2 — [Caption]

03Results / benchmarks

[Chart or table]
Fig. 3 — [Caption]

04What I did

  • As an intern, researched OCR and blockchain options, prototyped both, and wrote the technical proposal approved by Cloud Nine leadership and the client, leading to a full-time offer to build it.
  • Delivered the system to a food-certification client on a 3-person team, combining OCR extraction with blockchain-backed tamper detection.
  • Developed the OCR pipeline extracting structured data from certificates, fine-tuning EasyOCR for the client's layouts.
  • Built the tamper-detection module, anchoring certificate hashes on Hedera to flag altered or revoked documents.
  • Implemented the Django APIs and MySQL database behind the system's extraction and verification workflows.

05What I learned

[What I learned]
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