PaperAI

PaperAI contains scripts and Jupyter notebooks for extracting, processing and summarizing information from academic papers (PDFs). The workspace includes tools for prompting large language models, extracting figures, and generating document outputs.

LLMs used are ChatGPT, Deepseek and Monica.

Contents

• pdf_prompt_processor.ipynb - Notebook to run prompts against PDFs and save responses as Word documents.
• ArticlesAI/ - data and prompt spreadsheets used by the notebooks.
• PaperAI/, new/ - project subfolders

Quickstart

1. Create a Python virtual environment and activate it:

   python -m venv .venv
   .\.venv\Scripts\Activate.ps1
   python -m pip install --upgrade pip

2. Install dependencies used by the notebooks (example):

   pip install -r requirements.txt

3. Open the notebooks in VS Code or Jupyter and run the cells.

Contributing

• Feel free to open issues or pull requests.