Build shape
Civic-data service plus OCR research
PK
Civic data and OCR research tool
Politics King and OCR R&D
A project that combined civic-data product work with Korean OCR research, backed by APIs and internal tooling.
Civic DataOCRDashboard
Product brief
It mattered to build one research environment where data collection automation and OCR evaluation could keep moving together inside a small team.
Politics King and OCR R&D comes from a period where civic-data product work and Korean OCR research were being carried in parallel. The product side needed crawlers, APIs, and dashboard views, while the research side needed repeatable test-bed tooling and evaluation loops.
In the implemented scope, a Node.js API layer, Python-based crawlers, a statistics dashboard, Korean OCR benchmarking tools, and internal utilities were built together. It is an early project that shows service data work and research tooling in the same environment.
Scope
Problem
Problem
Political and bill data kept changing, and OCR research needed repeated evaluation, so collection and verification both had to be automated.
Implementation
I built the Node.js API layer, crawlers, a stats dashboard, a Korean OCR testbed, and internal tools directly.
Best fit
This fits data products and research environments that need crawling, internal analytics, and repeatable evaluation tooling together.
Technical structure
Product evidence
Primary stack
Node.js · Python · crawler · dashboard
Data & sync
Automated politician/bill collection · stats visualization
Operational surface
OCR testbed · internal tooling · API operations
Stack
Data collection
Node.jsPythoncrawlersschedule-based ingestion
Service and visualization
API serverdashboard UIstats aggregationrecommendation logic
Research tooling
Korean OCR evaluationtestbed utilitiesbenchmark datasetsinternal admin tools
Integrations
Crawler jobsAPI serverdashboard analyticsOCR testbed
Screens
Product evidence
Web
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