haku07210/AutoJudge-Project
🤖 Predict programming problem difficulty with AI using text analysis and machine learning for accurate complexity scoring.
What's novel
🤖 Predict programming problem difficulty with AI using text analysis and machine learning for accurate complexity scoring.
Code Analysis
7 files read · 3 roundsA Streamlit web application that predicts programming problem difficulty using Random Forest models trained on entirely synthetic, randomly generated data.
Strengths
Clean and readable code structure with proper use of caching and error handling in the main application. The scraper implementation follows standard patterns for web scraping.
Weaknesses
The project relies on fabricated training data with no real-world correlation between features and targets, making predictions meaningless. Documentation is heavily misleading about installation methods and actual capabilities.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
51
Contributors
2
Files
19
Active weeks
5
Repository
Language
Python
Stars
1
Forks
0
License
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