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  3. 基于AI与开源鸿蒙的智能分布式场景化创新应用

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OpenAtomGeneral MLAdvancedRegistration unverifiedRegistration unverified

基于AI与开源鸿蒙的智能分布式场景化创新应用

适合本科或高职相关专业的在校学生团队,且已有 OpenHarmony 开发、分布式多设备协同和 AI 应用集成基础。尤其适合能围绕具体行业场景做出完整应用,并准备进行现场演示和答辩的人。

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Suggested next step

Decide whether this contest fits your current stage before you sink time into the leaderboard.

Beginner score

30/100

Higher means a safer real starting point for your current stage.

Learning value

60/100

Measures whether the competition teaches habits you can transfer elsewhere.

Estimated effort

24-80 hours

Use this to check whether the task fits your current time budget.

Metric

Official scoring is published on the Op…

If you cannot explain this metric clearly yet, you probably still need a bit of prep.

Who this competition fits

适合本科或高职相关专业的在校学生团队,且已有 OpenHarmony 开发、分布式多设备协同和 AI 应用集成基础。尤其适合能围绕具体行业场景做出完整应用,并准备进行现场演示和答辩的人。

Official blurb (unedited)
当前,兼具“AI”与“分布式”特性的应用仍处于探索阶段,是产业与学术界的关注焦点。本赛项设立旨在推动AI技术与OpenHarmony分布式特性的深度融合,培养掌握分布式AI应用开发能力的创新人才,产出可落地的场景化解决方案。 Official category: 训练学习赛. Organizers: 北京中软国际教育科技股份有限公司. Competition code: 2025OAC063. Participants: 5.

Prep before joining

If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.

OpenHarmony 应用开发

分布式系统架构

多设备协同开发

AI 模型集成

软件测试与自动化部署

技术方案与路演表达

Where the real difficulty shows up

The real friction is usually not library usage. It is validation, time allocation, and task framing.

难点不只是接入 AI,而是把它与 OpenHarmony 的分布式能力做成可用、流畅的跨设备系统:作品需覆盖多设备类型、动态组网或多模态交互等深化要求,并体现测试、自动部署和技术白皮书等工程化能力。进入全国决赛后还需线下路演,提交代码、技术方案和演示视频的一致性会被复核。

Read this first

This guide is the best pre-read if you want a cleaner start instead of trial-and-error.

How to learn feature engineering, validation, and competition workflow without heavy hardware.

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Your decision

Use these fields to make a quick decision before you dive deeper.

Status
Registration unverified
Registration
Registration unverified
Eligibility
Needs official confirmation
Reward
¥20万
Compute
CPU only
Official metric
Official scoring is published on the OpenAtom competition page.
Verification
Source page verified

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Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.

Source page verifiedMetric confirmedReviewed
Source published
Oct 3, 2025
Source created
Oct 3, 2025
Published on this site
Jul 21, 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.