WORK

HACKATHON

THE
HACKATHON®

AI Hackathon service offers the development and planning of an AI model and service that are practically applicable.

DEVELOPMENT OF AI MODEL AND SERVICE WITH THE ESTABLISHED DATA SET

  • Seoul National University Hospital
    Developed an arrhythmia diagnosis AI model by utilizing ECG dataset
  • Korea University Hospital
    Developed a laryngendoscope image algorithm
  • Yonsei University Hospital
    Developed a left ventricle segmentation AI model from A2C and A4C VIEW
  • Kyunghee University Hospital
    Developed a diabetes onset prediction model
  • Gachon University Hospital
    Developed a PET video (Parkinson's disease) and MRI/CT video (metastatis brain tumor) AI model
  • Catholic University Hospital
    Developed an infant behavior video data AI model
  • Promedius & CNAI
    Developed a disease presence and type reading model using chest X-Ray and CT data
  • CUBOX Consortium
    Developed a compact object AI and an AI model for formulas, figures, scribbles, symbols, and printing among OCR data
  • MISO Info Tech
    Developed a model for real-life transparent object 3D data & large-scale 3D object data
  • Human & Forest of MediaGroup Co., Ltd.
    Service idea development challenge utilizing object tracking and estimation data
  • WISWYG
    AI Hackathon utilizing Korean full body shape & dimension measurement data
  • Airpass
    Developed Taekwondo motion data AI model
  • Human & Forest of MediaGroup Co., Ltd.
    Service planning or AI model development methodology utilizing analysis data of motion and game in badminton and tennis
  • MISO Info Tech
    Developed an AI model for eye and skin disease data of companion animals
  • Korea Transportation Safety Authority
    Developed an AI algorithm for safe autonomous driving
  • D-TEG
    AI Hackathon utilizing traffic lane violation video data

URBAN THE HACKATHON

Hackathon for AI model development and optimizaiton

Develop an AI model to predict and determine diseases from the collected images, audio, and biodata Improve model performance through contests to optimize and advance the existing AI model

  • Improve AI Model Performance
  • Use 11 Types of Evaluation Indexes
  • Check Ranking in Real Time
Idea contest for service development

Discover ideas on new services and businesses by utilizing various data Draw methods for AI utilization and modeling to solve specific data-based problems

  • Specific Problem-Solving
  • Idea Digging
  • Concurrent Events
Next

HACKATHON HOSTED BY URBAN

[Task 1]
Determination of disease presence by using chest X-ray data

2022
Korean Language AI Contest Track 02 Voice recognition of in-vehicle conversation and commands

[Racket Sports Data] AI Learning Data Utilization Contest

2022
2022 Korean Language AI Contest Track 02 Voice recognition of meetings in each key area

2022
Korean Language AI Contest Track 01 Performance Improvement of Korean Language Voice Recognition

[Task 2]
Determination of disease presence by using chest CT data

Hackathon provides
a chance to build
a network with
other experts and
sets up an environment.

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