https://github.com/jcaperella29/jcap_ai_paper_summarizer

A Flask-based web app that extracts text, summarizes scientific PDFs using Ollama, and retrieves figures from research papers. Supports batch processing via ZIP uploads and provides downloadable summaries.
https://github.com/jcaperella29/jcap_ai_paper_summarizer

ai-summarizer batch-processing flask nlp ollama-api pdf-summarizer research-tool scientific-papers

Last synced: 3 months ago
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A Flask-based web app that extracts text, summarizes scientific PDFs using Ollama, and retrieves figures from research papers. Supports batch processing via ZIP uploads and provides downloadable summaries.

• Host: GitHub
• URL: https://github.com/jcaperella29/jcap_ai_paper_summarizer
• Owner: jcaperella29
• Created: 2025-02-24T22:44:33.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2025-02-26T21:08:49.000Z (3 months ago)
• Last Synced: 2025-02-26T22:20:27.525Z (3 months ago)
• Topics: ai-summarizer, batch-processing, flask, nlp, ollama-api, pdf-summarizer, research-tool, scientific-papers
• Language: Python
• Homepage:
• Size: 18.6 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 🧠 JCAP AI Paper Summarizer  

A Flask-based AI-powered web application that extracts text from **scientific PDFs**, generates **summaries** using **Ollama**, and **extracts figures** (plots & images) from research papers. It supports **batch processing** via ZIP file uploads and allows users to **download individual summaries** as PDFs.

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## 🚀 Features  

✅ **Multi-PDF Summarization** - Upload multiple PDFs in a ZIP file and get separate summaries for each paper.  

✅ **Figure Extraction** - Automatically detects and extracts figures (plots) from research papers.  

✅ **Dynamic UI** - Each PDF gets its **own tab** for summaries & figures.  

✅ **Downloadable Summaries** - Saves each summary as a **PDF** for easy access.  

✅ **Batch Processing** - Handles multiple PDFs in one go.  

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## 📸 Screenshots  

### 📝 Summarization Output  

![Summary Screenshot](static/screenshots/summary_screenshot.png)  

### 📊 Extracted Figures  

![Figures Screenshot](static/screenshots/figures_screenshot.png)  

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## 📦 Installation  

### 1️⃣ Clone the Repository  

```sh

git clone https://github.com/YOUR_USERNAME/JCAP_AI_PAPER_SUMMARIZER.git

cd JCAP_AI_PAPER_SUMMARIZER

2️⃣ Install Dependencies

Ensure you have Python 3.10+ and run:

sh

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pip install -r requirements.txt

3️⃣ Start the Flask App

sh

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python app.py

The app will be available at:

👉 http://127.0.0.1:5000/

🖥️ Usage

Step 1 - Upload PDFs

You can upload individual PDFs or batch process multiple PDFs in a ZIP file.

Click Upload and the app will begin extracting & summarizing content.

Step 2 - View Summaries

Each PDF gets its own summary tab dynamically labeled based on the file name.

You can download individual summaries as PDFs.

Step 3 - View Extracted Figures

The app extracts plots/figures from the PDFs and displays them under the Figures tab.