christopherotim/ai-paper-analyzer

View on GitHub by @christopherotim

🤖 Analyze AI papers effortlessly. Automatically gather, analyze, and classify research, providing clear reports to help you stay informed.

What's novel

🤖 Analyze AI papers effortlessly. Automatically gather, analyze, and classify research, providing clear reports to help you stay informed.

Code Analysis

9 files read · 3 rounds

Fetches daily AI papers from HuggingFace's API, uses LLM APIs (Zhipu/Doubao) to generate Chinese translations, summaries, and topic classifications, then outputs structured JSON and Markdown reports.

Strengths

Clean pipeline architecture with well-separated concerns (download → clean → analyze → classify → report), good use of dataclasses with backward compatibility, and a practical AI client abstraction with retry/exponential backoff and multi-provider support.

Weaknesses

The AI cleaning path in the cleaner is a non-functional stub (_parse_ai_response returns empty list), there are zero tests, the parser relies on fragile regex patterns to extract structured data from free-form LLM output, and the concurrent 'rage mode' has thread-safety concerns with shared mutable state.

Score Breakdown

Innovation

4 (25%)

Craft

46 (35%)

Traction

11 (15%)

Scope

74 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+1

Concept Novelty+1

Craft

Ci-3

Tests-5

Polish+1

Releases+0

Has License+0

Code Quality+17

Readme Quality+15

Recent Activity+7

Structure Quality+5

Commit Consistency+4

Has Dependency Mgmt+5

Traction

Forks+0

Stars+6

Hn Points+0

Watchers+3

Early Traction+0

Devto Reactions+0

Community Contribs+2

Scope

Commits+7

Languages+5

Subsystems+13

Bloat Penalty+0

Completeness+6

Contributors+6

Authored Files+15

Readme Code Match+3

Architecture Depth+7

Implementation Depth+8

Evidence

Commits

Contributors

Files

268

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

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