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  3. openInula前端框架生态与AI创新挑战赛
OpenAtomGeneral MLAdvancedRegistration unverified

openInula前端框架生态与AI创新挑战赛

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 JavaScript 前端开发经验、愿意基于 openInula 开发可运行组件或工具的个人或团队。生态方向尤其适合做 UI/图表组件、构建工具、服务端渲染或跨平台方案的人;AI 方向需要能将大语言模型接入前端开发辅助工具。

Read the original official blurb
openInula是一款用于构建用户界面的前端框架,旨在通过响应式能力、全场景支持与AI赋能,打造一款高性能、全场景、智能化的创新底座。本赛题旨在邀请广大前端开发者基于openInula框架设计并实现一款生态组件或AI辅助开发工具,参与到openInula社区建设。 Official category: 实战竞技赛. Organizers: openInula社区. Participants: 5.

Preparation

From registration to a first submission

  1. 01

    JavaScript 前端开发

  2. 02

    openInula 框架集成

  3. 03

    React 生态兼容

  4. 04

    大语言模型 API

  5. 05

    可运行项目部署

  6. 06

    开源许可证与依赖声明

Before you commit: 难点不只是提出创意,而是做出与 openInula 深度兼容、可实际演示和运行的完整作品,并提供清晰文档。作品还需能脱离原开发环境编译或运行;入围决赛后要准备介绍 PPT 与演示视频,并进行线下路演。

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
Nov 18, 2023

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
Nov 18, 2023
Source created
Nov 18, 2023
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.