Beginner score
30/100
Competition workspace
适合希望用大模型或多模态 AI 做公益应用的开发者、创作者和学生，可个人参赛或组队。更适合已有教育、孤独症儿童支持、老年生活或无障碍场景观察，并能将方案做成可部署、可演示产品的人；赛题二尤其适合会基于 Qwen-Image 训练 LoRA 并生成多图绘本的参与者。
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…
适合希望用大模型或多模态 AI 做公益应用的开发者、创作者和学生，可个人参赛或组队。更适合已有教育、孤独症儿童支持、老年生活或无障碍场景观察，并能将方案做成可部署、可演示产品的人；赛题二尤其适合会基于 Qwen-Image 训练 LoRA 并生成多图绘本的参与者。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
开源项目发布
AI 应用部署
多模态模型调用
用户需求调研
产品演示视频制作
路演答辩
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不只是做出原型，而是要证明方案来自真实需求、能在普通手机或常见设备等现实条件中使用，并完成部署、教程和演示。若进入决赛，还需线下路演，现场展示产品、创作过程、技术亮点与结果；获奖作品还必须按要求开源。
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.
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Rules, files, submission details, and the live deadline still come from the official page.
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LLMSeparate 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.