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ML Application · Python

Aurora-SDG-Publication-Classifier

Explore, enrich, classify, and visualize institutional publications from OpenAlex and DSpace with Aurora SDG models, caching, charts, and CSV/XLSX export.

What it is

The Aurora-SDG-Publication-Classifier is a Streamlit-based machine learning application that classifies academic publications according to the United Nations Sustainable Development Goals (SDGs). It integrates data from multiple sources (OpenAlex, DSpace, OAI-PMH), enriches missing abstracts, caches results, and provides interactive visualizations and export capabilities.

  • data-visualization
  • open-access-monitoring
  • openalex
  • publication-data
  • research-metrics
  • scholarly-communication
  • sustainability
  • sustainable-development-goals
  • text-classification

Scored from the code at its last scan, 19 Oct 2026. How merit is scored

Where it counts

  • Machine Learning70%
  • Data Science60%
  • NLP & LLMs50%
  • MLOps20%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the Machine Learning board

Whole board
  1. 14kernel-workArchitecture Modification / Research · Python60.5/100AdvancedRick
  2. 154cast-livive-netEducational Implementation · Rust60.3/100AdvancedJarad Peckenpaugh
  3. 16, shared rankrag-pocEducational Implementation · TypeScript58.9/100AdvancedJarad Peckenpaugh
  4. 16, shared rankAurora-SDG-Publication-ClassifierML Application · Python58.9/100AdvancedJens Mittelbach
  5. 18, shared rankandrej-karpathy-full-courseEducational Implementation · Jupyter Notebook58.6/100AdvancedPop Alexandru

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