---
title: AI Systematic Literature Review
emoji: 🧪
colorFrom: blue
colorTo: green
sdk: docker
pinned: false
license: mit
app_port: 5000
---

# AI Systematic Literature Review

An intelligent tool for conducting systematic literature reviews using OpenAlex API and AI-powered paper filtering.

## Features

- **🔍 Search Papers**: Find academic papers by title using OpenAlex API
- **📚 Collect Papers**: Gather related papers (cited, citing, and related) from a seed paper
- **🔬 Filter Papers**: Use AI to filter collected papers based on your research question
- **📁 Database Management**: View and manage your collections and filters
- **📊 Export Data**: Export results to Excel and BibTeX format
- **🔄 Merge Collections**: Combine multiple collections with overlap analysis
- **📈 Progress Tracking**: Real-time progress bars for long-running operations

## How to Use

1. **Search Papers**: Enter a paper title to find papers in OpenAlex
2. **Collect Papers**: Use a Work ID to collect related papers (cited, citing, and related)
3. **Filter Papers**: Use AI to filter collected papers based on your research question
4. **Database Files**: View all your collections and filters in the side panels
5. **Export Data**: Export your results to Excel or BibTeX format
6. **Merge Collections**: Drag and drop collections to merge them

## Setup

To use AI filtering, you need to set your OpenAI API key as a secret in the Space settings.

## Technical Details

- Built with Flask for the backend and vanilla HTML/CSS/JS for the frontend
- Brutalist, minimalist design with all-in-one-page interface
- Uses OpenAlex API for paper discovery and collection
- Integrates with OpenAI API for intelligent paper filtering
- Automatically saves collections and filters for reuse
- Respects OpenAlex rate limits
- Real-time progress tracking for long operations