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Power Hacks

The Hackathon will focus on leveraging AI to create impactful solutions across agriculture, finance, and healthcare. PLP

黑客松狀態

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Power Hacks
Ended
general

主辦

Power Learn Project

黑客松狀態

ONLINE

生態

全部

技術堆疊

All

參與者

BDA
34+

1,000 USD

用作獎勳

Top Three1,000 USD

描述


Power Hacks 2025: AI-Driven Agents & Blockchain — Shaping the Future of Decentralized Intelligence is a Pan-African hackathon by the Power Learn Project, bringing together innovators, developers, and creators to explore the intersection of AI and Blockchain. Running from 7th to 28th November 2025, the hackathon will empower participants to design and build impactful solutions in areas like decentralized finance, smart healthcare, agriculture, and sustainable cities. Alongside innovation challenges, participants will engage in venture bootcamps, mentorship sessions, and recruitment circles connecting them to real-world opportunities. With a focus on practical skills, collaboration, and creativity, Power Hacks 2025 aims to inspire the next generation of African tech leaders shaping the future of decentralized intelligence. 🚀

Top Three

1,000 USD

Top Three

First Place500 USD
Second Place300 USD
Third Place200 USD

Top Three

評委標準

I. Innovation Evaluation Criteria

Criteria

Description

Weight (%)

Unique Value Proposition

Demonstrates an in-depth understanding of the problem being solved, highlighting a unique use of emerging technologies.

20%

Market

Shows clear understanding of the potential available market and target audience.

20%

Impact

Highlights positive direct and/or indirect impact on users or beneficiaries.

16%

Competition

Identifies and analyzes potential competitors to the innovation.

14%

Revenue Model

Expounds on potential opportunities to scale the innovation through the proposed business or revenue model.

12%

Ask

Demonstrates a clear and strategic “ask” to the target audience (e.g., funding, partnerships).

10%

Team

Presents a well-defined and capable team structure.

8%

Subtotal (Innovation): 100%


II. Technical Evaluation Criteria

Criteria

Description

Weight (%)

Code Quality

Measures code readability, organization, and correctness.

20%

Algorithm Efficiency

Evaluates speed and resource efficiency of the code.

20%

Performance

Measures system speed, responsiveness, and resource usage.

16%

Utilization of Technology Stack

Assesses appropriate use of new technologies and cross-platform compatibility.

14%

Security & Fault Tolerance

Checks for data protection measures and robust error handling.

12%

Development Process

Evaluates project management practices and teamwork.

10%

Documentation & Testing

Assesses clarity of documentation and thoroughness of testing.

8%

Subtotal (Technical): 100%


III. Combined Evaluation Overview

Category

Description

Total Weight (%)

Innovation Criteria

Assesses the conceptual and business aspects of the project, including market understanding, problem-solving, and scalability.

50%

Technical Criteria

Evaluates the technical execution, performance, and quality of development and implementation.

50%

Total

Combined evaluation weight for overall project assessment.

100%

免責聲明:
HackQuest 作為黑客松平台提供商,除非另行說明,否則不參與任何黑客松的最終評審和獎勳分配。如果沒有或少數提交符合主辦方的質量標準,獎品可能會有所變動。

時間安排

結束
註冊
Nov 7,2025 05:31 - Nov 22,2025 09:00
結束
提交
Nov 7,2025 05:31 - Nov 22,2025 09:00
結束
獎勳公告
Nov 23,2025 15:00