pvhuwung/AIRST-research-paper-summarization

This AI tool app built on Streamlit library provides a powerful and user-friendly tool through web interface for accessing key information from healthcare-related academic literature. Its natural language processing capabilities and intuitive user interface make it an essential AI tool for anyone working in the healthcare industry.

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Emerging

Leverages retrieval-augmented generation (RAG) to extract and answer questions directly from uploaded PDFs, moving beyond basic summarization to enable contextual querying of paper content. Outputs include both text summaries and auto-generated PowerPoint presentations of key findings, with a feedback loop for continuous model refinement across multi-disciplinary research papers.

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 18 / 25

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33

Forks

12

Language

Jupyter Notebook

License

MIT

Last pushed

May 04, 2025

Commits (30d)

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