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  3. 基于OpenHarmony的多功能医疗检测仪挑战赛
OpenAtomGeneral MLAdvancedRegistration unverified

基于OpenHarmony的多功能医疗检测仪挑战赛

A advanced general ml competition requiring roughly 25–70 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
25–70 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

Advanced practitioners with experience in general machine learning. Requires strong technical foundations and comfort with complex ML pipelines.

Read the original official blurb
本赛题利用OpenHarmony技术特性,结合物联网、大数据、云计算等技术,开发一款更高效、更智能、更互联的多功能医疗检测仪,为医疗领域创造出更加先进、智能、多功能的检测仪器。 Official category: 实战竞技赛. Organizers: 北京软通动力教育科技有限公司. Participants: 10.

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    scikit-learn or similar ML library

  3. 03

    data analysis with pandas

Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
OpenAtom
Last checked
Feb 20, 2024

Entry assessment

est.
18

Prepare before joining

Overall fit estimate

Beginner fit18/100
Learning value66/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Feb 20, 2024
Source created
Feb 20, 2024
Published on this site
Aug 1, 2026

Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.

reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.