Academorphic -- automated literature reviews

Academorphic -- automated literature reviews

Academorphic, a tool for university students working on their dissertation, is designed to simplify the process of writing literature reviews. It's a fork of Morphic (GitHub). Academorphic gathers, summarises, and answers questions about academic papers, then generates a PDF literature review for you.

I built it as part of the Bath Hack 2024 with my two teammates: Arnau Ayerbe and Varniethan Ketheeswaran.

Features

Title-Based Search on ArXiv: Academorphic starts by asking for the title of your dissertation or research paper. Using this title, it searches the ArXiv database, a repository of pre-print papers, to find relevant literature.

Summarization and Analysis: Once the relevant papers are found, Academorphic summarizes the key points of each paper. It then uses Retrieval-Augmented Generation (RAG) to answer specific questions about the literature.

Interactive Follow-Up Queries: If the title you provide is too vague or broad, Academorphic prompts you with follow-up questions to narrow down the search.

PDF Generation: After compiling and analyzing the relevant literature, Academorphic allows you to generate a PDF of your literature review with a click.

We used a new React library made by Vercel to build the UI. It lets you directly connect streamed LLM responses to React components, so you get snappy responses. Here's a link:

Introducing AI SDK 3.0 with Generative UI support – Vercel
Stream React Components from LLMs to deliver richer user experiences

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