cr-bh

cr-bh / PaperFlow

Public

AI-powered academic paper management system

36
5
100% credibility
Found Mar 10, 2026 at 25 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

PaperBrain is an intelligent notebook app that automatically fetches, scores, summarizes, and lets you chat with academic papers to build your research knowledge base.

How It Works

1
🚀 Launch PaperBrain

Open the friendly app on your computer and see your personal research dashboard waiting for you.

2
⚙️ Share your research interests

Pick simple keywords like 'reinforcement learning' or 'optimization' so the assistant knows what papers excite you.

3
🤖 Let it hunt for new papers

Click to automatically grab fresh papers from research sites, scored smartly from 1-10 to highlight the gems.

4
⭐ Spot and save favorites

Browse the ranked list, star the top scorers that perfectly match your work, and watch your collection grow.

5
📥 Explore a paper deeply

Open any paper to get instant summaries, visual mindmaps, key images, and tags that make sense of it all.

6
💬 Chat with your papers

Ask questions about one paper or many, and get clear, insightful answers drawn straight from the content.

📚 Master your field effortlessly

Build a tagged library of top research, stay ahead without the hassle, and turn reading into discovery.

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Star Growth

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AI-Generated Review

What is PaperFlow?

PaperFlow is an AI-powered academic paper management system built in Python with Streamlit for a web dashboard. It lets you upload PDFs for AI-generated summaries, mindmaps, tags, and image extraction, plus chat-based Q&A over your library using RAG. The standout Auto-Scholar mode fetches fresh arXiv papers daily in fields like AI, ML, and operations research, scores them 1-10 via LLMs, filters by keywords/venues/institutions, and ranks for relevance.

Why is it gaining traction?

It automates the drudgery of academic paper hunting with AI-powered academic search and scoring, surfacing top papers from noisy arXiv feeds without manual sifting. Features like venue/institution badges, quality tiers (S/A/B), and exportable reports give quick insights, beating basic RSS tools or Zotero plugins. Developers appreciate the configurable LLM backends (Gemini, DeepSeek) and keyword-driven fetching for niche tracking.

Who should use this?

AI researchers monitoring reinforcement learning or combinatorial optimization papers daily. Academics building reading lists who want AI-powered academic guidance based on profiles/interests. PhD students overwhelmed by arXiv needing smart filtering before diving into PDFs.

Verdict

Worth forking for personal use if you're in AI/OR research—early traction at 18 stars shows niche appeal, but 1.0% credibility flags immaturity like sparse docs and test reliance on scripts. Polish the UI and add export APIs to scale.

(198 words)

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