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korea-ai-contest-tracker

Sweet-Butters/korea-ai-contest-tracker · Homepage

Self-updating directory of South Korean AI contests, using Jev as classifier.

Data Labeling & Curation0.75Runner-up: Classification & RoutingQuestionnaireFunnel
Automated README summary

Automatically summarized from the README on 26 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A self-updating directory of AI competitions, hackathons, idea contests, startup pitch competitions, and government startup funding programmes in South Korea. It collects listings from 11 Korean sources daily and provides a static website with list, category, and calendar views.

How it uses Jev

For each listing (title, description, source site), Jev answers three typed questions: `ai` (noul) to determine if the contest is AI-related, `contest` (noul) to check if it's an open call, and `category` (choice + confidence) to classify the contest type. Jev's answers are used to override keyword rules when confident, drop non-contests, and rescue missed AI contests.

Primitives:noulchoice

Technique worth stealing

Using typed, calibrated decisions (probabilities and choice distributions) directly in if statements, avoiding text parsing and validation.

Try it

Visit the live site at https://sweet-butters.github.io/korea-ai-contest-tracker/

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectunclear0.60
  • Shows a System One patternFound in material0.64
  • Describes handling uncertaintynot found in the excerpt0.07
  • Reports measured numbersnot found in the excerpt0.06
  • Is a runnable toolnot found in the excerpt0.36
  • Top-10 learning shortlist signalunclear0.44
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale0.96 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.60Shows a System One pattern0.64Describes handling uncertainty0.07Reports measured numbers0.06Is a runnable tool0.36Top-10 learning shortlist signal0.44Is a replica of the model0.0300.51Solves a common problem (0–2)0.96 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.96Questionnaire0.86Traffic light0.21Viewfinder0.2000.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 26 Sept 2026.