- Renamed project from AGI/ASI Papers Analysis to AI Papers Intelligence Classifier
- Added ANI (Artificial Narrow Intelligence) classification level with keywords
- Added Other AI classification level for general AI topics
- Added ML (Machine Learning) classification level with keywords
- Added DS (Data Science) classification level with keywords
- Updated classification hierarchy: ASI → AGI → ACI → ANI → Other AI → ML → DS → Not Related
- Updated classifier.py with new keyword categories and scoring weights
- Updated ranker.py with new classification hierarchy and impact scores
- Enhanced UI with new classification columns and color coding
- Updated visualizations to include all 8 classification levels
- Updated all tests to match new classification system
- Updated documentation (CONCEPT.md, README.md) with new name and classification system
- Renamed classifier class from AGIASIClassifier to AIPapersIntelligenceClassifier
Generated with [Devin](https://cli.devin.ai/docs)
Co-Autho…
Add ACI support and reasoning-based classification system
- Added DeepSeek-R1 reasoning classifier with Chain of Thought
- Implemented three classification modes: Keyword, Reasoning, Hybrid
- Updated classification hierarchy: ASI → AGI → ACI → Narrow AI → Not Related
- Added ACI keywords to classifier
- Updated ranking system to support new classification levels
- Enhanced UI with ACI Score column and classification mode selector
- Updated visualizations to include ACI in charts and statistics
- Updated tests to match new classification system
- Updated documentation (CONCEPT.md, README.md) with ACI information
- Added scikit-learn dependency for future ML features
Generated with [Devin](https://cli.devin.ai/docs)
Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Add multiple AI model support, enhanced visualizations, and comprehensive documentation
Features added:
- Multiple AI model support (OpenAI, Anthropic, Ollama, Hugging Face)
- Enhanced visualizations (pie chart, bar chart, scatter plot)
- Model comparison tab with recommendations
- Comprehensive documentation (Installation, Deployment, Concept, How It Works)
- Feature ideas and roadmap document
- Updated README with new features and documentation links
Technical changes:
- Added model_manager.py for multi-model support
- Enhanced classifier with semantic analysis integration
- Updated app.py with model selection UI
- Added three new visualization charts
- Updated requirements.txt with OpenAI and Anthropic SDKs
Educational purpose: Demonstrate AGI/ASI research tracking with modern AI techniques.
