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  3. 基于开源鸿蒙操作系统的原生AI应用开发大赛
OpenAtomGeneral MLAdvancedRegistration unverified

基于开源鸿蒙操作系统的原生AI应用开发大赛

A advanced general ml competition requiring roughly 24–80 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
24–80 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

适合已有 OpenHarmony 应用开发基础、能使用 ArkTS 或相关原生接口的开发者与团队。参赛者还需要能将至少一种原生 AI 能力(如语音、视觉、自然语言处理或神经网络推理)落地到实际场景;若选择智能终端方向,开发板和软硬件联调经验会更匹配。

Read the original official blurb
为激发高校学生的创新潜能,培养具备操作系统与AI交叉能力的复合型人才,特举办本次开源大赛。大赛旨在鼓励青年学子基于OpenHarmony平台,探索原生AI技术的应用边界,打造具有实用价值和前瞻性的软硬件解决方案。通过赛事,我们期待推动开源文化与校园科技的深度融合,为未来科技产业发展储备优秀力量,共同构建万物智联的新生态。 Official category: 实战竞技赛. Organizers: 中北大学&江苏润开鸿数字科技有限公司. Competition code: 2025OAC061. Participants: 5.

Preparation

From registration to a first submission

  1. 01

    OpenHarmony 5.0 开发

  2. 02

    ArkTS

  3. 03

    HiAI 引擎或神经网络推理框架

  4. 04

    AI 模型训练与推理代码

  5. 05

    分布式设备协同

  6. 06

    软件架构与技术文档编写

Before you commit: 难点不只是做出 AI 演示,而是要在 OpenHarmony 开源版本上深度集成原生 AI,并交付可正常运行、可复现的完整作品。评审还会看系统服务层的算法/模型移植、Native 封装到 ArkTS 的调用接口,以及现场演示的稳定性;获奖作品还需按要求开源。

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
Oct 9, 2025

Entry assessment

est.
30

Prepare before joining

Overall fit estimate

Beginner fit30/100
Learning value60/100

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
Oct 9, 2025
Source created
Oct 9, 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.