kaymungai/AI-Research-Radar

View on GitHub by @kaymungai

Automate the tracking, downloading, and analysis of AI papers from HuggingFace. Stay updated with cutting-edge research effortlessly! 🐙📄

What's novel

Automate the tracking, downloading, and analysis of AI papers from HuggingFace. Stay updated with cutting-edge research effortlessly! 🐙📄

Code Analysis

10 files read · 3 rounds

A collection of flat Python scripts that download daily Hugging Face paper metadata, use LLM APIs (ZhipuAI/Volcengine Ark) to extract titles, generate Chinese summaries, and classify papers into categories, then split results into markdown files.

Strengths

The pipeline concept of automating daily paper tracking and generating structured Chinese summaries is practically useful. The split_hf_glms_json_to_md.py script has reasonable defensive parsing with fallback filename generation.

Weaknesses

Massive code duplication (classify_and_generate_md.py vs classify_and_generate_mdDouBao.py are 95% identical), no package structure, brittle regex-based parsing of LLM output, no real tests, and the README describes features (dashboard, REST API, customization) that don't exist in the code.

Score Breakdown

Innovation

3 (25%)

Craft

30 (35%)

Traction

6 (15%)

Scope

25 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+0

Concept Novelty+1

Craft

Ci-2

Tests-3

Polish+0

Releases+0

Has License+5

Code Quality+7

Readme Quality+15

Recent Activity+7

Structure Quality+5

Commit Consistency+0

Has Dependency Mgmt+5

Traction

Forks+0

Stars+6

Hn Points+0

Watchers+0

Early Traction+0

Devto Reactions+0

Community Contribs+2

Scope

Commits+3

Languages+3

Subsystems+5

Bloat Penalty+0

Completeness+7

Contributors+6

Authored Files+8

Readme Code Match+3

Architecture Depth+3

Implementation Depth+8

Evidence

Commits

Contributors

Files

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

Apache-2.0