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  3. OpenHarmony创新赛-金融行业赛题
OpenAtomGeneral MLAdvancedRegistration unverified

OpenHarmony创新赛-金融行业赛题

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 应用开发经验、能使用开发板或终端设备完成原型的个人或团队,尤其是想围绕银行网点、支付、供应链金融、风控等金融业务场景做软硬件结合方案的人。参赛者需要能将多设备、传感器、收银机等终端与金融业务流程结合起来。

Read the original official blurb
本赛题致力于实现金融业务场景的解决方案开发,包括但不限于银行、证券、保险等领域,如:银行等金融机构的客户开卡、营销活动精准投放、金融业务办理、信贷授信、贷后管理、代收代缴业务、风险管控等。 参赛者可基于OpenHarmony技术栈及硬件终端,结合多种设备,实现数据采集、金融业务办理、风险控制、精准营销投放等金融领域的创新型应用,作品包含但不限于硬件设备端、应用APP端、软件系统等。 Official category: 实战竞技赛. Organizers: OpenHarmony工委会. Participants: 199.

Preparation

From registration to a first submission

  1. 01

    OpenHarmony 应用开发

  2. 02

    HarmonyOS 开发套件

  3. 03

    多设备分布式能力

  4. 04

    HAP 包构建

  5. 05

    硬件终端与传感器集成

  6. 06

    技术文档与演示视频制作

Before you commit: 最大工作量在于做出可实际演示、主要功能无 BUG 的完整应用,而不只是提出金融创意;作品还要以 AtomGit 仓库提交开源源码、HAP 包、包含演示链接的说明文档和演示视频。原则上获奖作品需要开源。

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
Apr 13, 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
Apr 13, 2023
Source created
Apr 13, 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.