Automatically generate structured summaries of scientif

This automation helps researchers quickly analyze scientific papers by eliminating manual reading and summarization. It monitors a local folder, extracts text from new PDF files, and generates structured abstracts using GPT-4o.

## Who it´s for
- Researchers working with large volumes of academic articles
- Graduate and undergraduate students writing literature reviews
- Educators preparing course materials
- Journal editors needing fast paper assessments

## What the automation does
- Monitors a user-defined local folder for new PDF file additions
- Extracts text content using PDF parsing tools
- Sends the extracted text to a LangChain agent powered by OpenAI GPT-4o
- Generates structured summaries: introduction, methods, results, conclusions
- Saves the output as a .txt file in a specified directory

## What´s included
- Ready-to-use n8n workflow
- Trigger logic for file detection
- Integrations with OpenAI API and local file system
- Basic written instructions for deployment and adaptation

## Requirements for setup
- OpenAI API account with valid key
- Self-hosted or cloud-based n8n instance
- Access to local file system (monitoring and output folders)

## Benefits and outcomes
- Reduces paper analysis time to minutes per document
- Ensures consistent summary formatting across sources
- Accelerates systematic literature reviews
- Simplifies preparation of teaching and research materials
- Enables rapid evaluation of preprints and new publications

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.