Systematic Literature Review (SLR) using AI involves leveraging artificial intelligence techniques to automate and expedite the process of reviewing and synthesizing large volumes of scholarly literature.
LitStudy: Using the power of Python to automate scientific literature analysis from the comfort of a Jupyter notebook
The aim of auto-paper is to give you tips, tricks, and tools to accelerate your publication rate and improve publication quality.
Turbocharge a PubMed literature rather than clicking and clicking and clicking on Google Scholar
Semi-automatic Literature Survey (SaLS)
Literature Review Made Easy with Visualization
Retrieve PubMed articles, text-mining annotations, or molecular data from >35 Entrez databases via easy to use Python package - built on top of Entrez E-utilities API.
Reference and citation map for literature review and discovery
Citation-based literature search
PaperGPT is an AI powered research assistant to keep track of latest publications given a set of keywords.
HBM Literature
Automated search across multiple databases and preprint servers to save your time during structured literature search and review.
API wrapper - deprecated; see backend
Simple tool created with Microsoft Excel (365) to cluster subtopics in references in a literature survey for a paper, thesis or any other academic work,
Node.js Electron GUI for Scraping the Google Play Store.
The frontend of the DaWeSearch project
ChatResearch is a desktop app for young researchers to build research libraries, chat with AI, and discover insights. Features ChatGPT integration, paper management, and research assistance.
Final year project website to review papers used for research.
A search query generator using ChatGPT and Bard for testing purposes. Uses PyQt5 to add a UI.
Add a description, image, and links to the literature-search topic page so that developers can more easily learn about it.
To associate your repository with the literature-search topic, visit your repo's landing page and select "manage topics."