Research Assistant

Writing a literature review is often the most time‑consuming and intellectually demanding part of any research project. From scoping the field to synthesizing divergent findings, the process requires immense effort. The Literature Review Assistant is designed to be your smart research companion—a single, intuitive tool that helps you navigate the entire journey.

Whether you are a doctoral candidate refining your thesis, a postdoctoral researcher exploring a new domain, or an undergraduate working on your first major paper, this assistant adapts to your needs. It offers five distinct academic tasks:

• Full Literature Review – generate a structured synthesis with themes, key studies, and research gaps.
• Summarize by Sections – break your topic into Introduction, Methods, Results, and Discussion.
• Suggest Relevant Papers – fetch real, up‑to‑date scholarly articles from Semantic Scholar.
• Recommend Journals – discover high‑impact venues for your work, with field relevance.
• Extract Keywords – generate strong academic keywords, synonyms, and related terms.

Behind the scenes, the tool leverages OpenRouter’s GPT‑4o‑mini for nuanced, context‑aware academic writing, and the Semantic Scholar API for real‑time paper discovery. All outputs are formatted clearly, ready to be copied, downloaded, or adapted into your own writing.

Get started in seconds: choose a task, type your topic (e.g., “digital leadership and employee innovation”), and click Run Task. The AI will deliver a thoughtful, structured response. Save your results with the Download button for offline reference.

Whether you are at the beginning of your research journey or refining a final draft, this assistant is here to save you hours of effort and help you produce a more comprehensive, well‑organized literature review. Try it now—and transform the way you approach academic research.