ASHBoost PyData Community Analysis : Connected Projects with Contributors

[Bohamad95q8]

Project Name

ASHBoost PyData Community Analysis

Description

This project demonstrates a proof-of-concept for matching contributors to AI projects using synthetic datasets. The results are analyzed and visualized as directed graphs, providing actionable insights and showcasing relationships between projects and contributors.

Build

No

Train

No

Analyze

Yes

Challenge Topic / Topic Category

• Customized Information Extraction
• Education
• Enhancing Accessibility in Healthcare Through AI
• Mitigating Natural Disasters in a Changing Climate
• Reducing Food Waste Through AI-Powered Innovation
• other - World Issues
• other - Open-Source
• other - Scientific Computing
• other

Project Repository URL

https://github.com/Bohamad95q8/AshBoost_NumHackhackathon

Deployed Endpoint URL

https://colab.research.google.com/drive/1AvOwKIHHORKKLl_w3bhTwHoIBBW0maKo?usp=sharing

Project Video File (not folder) Link (ensure viewer access)

https://drive.google.com/file/d/18rIZULC7qYos-j3F_3rH2-qQSNgK6mHq/view?usp=sharing

Team Members

Bohamad95q8,SaudSMS,DesertDemons

[naumnaum]

Hey there!
Great project!
By the way i think you can include your Colab Notebook to "Deployed Endpoint URL" section!

Additionally, there seems to be a natural synergy with Numhack's Good First Issue Recommender. Collaborating with them could create exciting opportunities to further enrich both projects by leveraging each other's strengths.

Great work, and all the best to your team!

[Prasad-JB]

Hello,
This project sounds exciting! I have experience with Python and data visualization (Matplotlib, Pandas). I’d like to help with the network analysis or contributor mapping. Do you already have raw data for contributors and projects, or should I begin by fetching it from GitHub APIs?