Beginner score
30/100
Competition workspace
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。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
30/100
Learning value
60/100
Estimated effort
24-80 hours
Metric
Official scoring is published on the Op…
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。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
OpenHarmony 5.0 开发
ArkTS
HiAI 引擎或神经网络推理框架
AI 模型训练与推理代码
分布式设备协同
软件架构与技术文档编写
The real friction is usually not library usage. It is validation, time allocation, and task framing.
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。
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.
No GPU? Pick Competitions That Still Teach You Good HabitsUse these fields to make a quick decision before you dive deeper.
Registration is unverified; confirm availability on the official page before investing.
Sign in to save competitions and build your own shortlist.
Rules, files, submission details, and the live deadline still come from the official page.
These competitions share a similar domain or difficulty level.
ModelScope
General MLModelScope
General MLKaggle
General MLKaggle
General MLSeparate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.
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.