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Donggyun Kim

PROFILE

Donggyun Kim

Donggyun Kim developed a Korean OCR system in the kgkorchamhrd/intel-03 repository, focusing on automated extraction of Korean text from images. He implemented an end-to-end workflow using Python and Hugging Face Transformers, specifically leveraging TROCR for accurate OCR processing. The system included both a Flask-based server for handling image processing and a client for sending requests, with basic authentication securing access to the service. This approach enabled scalable, automated image-to-text extraction, reducing manual transcription effort and accelerating data capture. Kim’s work established a robust foundation for future language expansion and integration into broader document-processing pipelines, demonstrating solid engineering depth.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
172
Activity Months1

Work History

March 2025

1 Commits • 1 Features

Mar 1, 2025

Month: 2025-03 — Delivered a Korean OCR capability using TROCR with a server for processing and a client for sending requests, secured by basic authentication. This enables automated extraction of Korean text from images, accelerating data capture and enabling scalable OCR workflows.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage100.0%

Skills & Technologies

Programming Languages

MarkdownPython

Technical Skills

Basic AuthenticationFlaskHugging Face TransformersOCRPythonREST API

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

kgkorchamhrd/intel-03

Mar 2025 Mar 2025
1 Month active

Languages Used

MarkdownPython

Technical Skills

Basic AuthenticationFlaskHugging Face TransformersOCRPythonREST API

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