AI-POWERED AUTOMATED RESEARCH PAPER GENERATOR USING RETRIEVAL-AUGMENTED GENERATION AND RESEARCH PUBLICATION FORMATING TEMPLATE
DOI:
https://doi.org/10.63458/ijerst.v4i1.152Keywords:
Research Paper Generation, Retrieval- Augmented Generation, SciBERT, Academic Writing Automation, LaTeX Formatting, Citation Management.Abstract
We have seen AI tools trialed in fields ranging from blockchain to healthcare analytics [7], [8]. The real gap, A strong grasp of existing studies often shapes how clearly a paper comes together. Yet, creating a long piece requires ideas to link logically, and slipping up on citations slows things down. Precision speeds progress more than most expect. This study presents a system run by artificial intelligence to build papers, mixing fact-based search with specialized scientific wording. A fresh approach starts with whatever title someone picks. That acts as a touch point for meaning. Documents pulled from free sources like arXiv or PubMed go through an embedding process into a vector database; SciBERT‘s representations sit here to set up semantic search. Based on what this pull delivers, the machine builds the write-up piece by piece. Visual formats and smart LaTeX tools help writers create papers ready for publishing. A single draft emerges faster. Time shrinks while structure sharpens, assuming ethics guide the choices made by people who care about right outcomes.
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Copyright (c) 2026 Venkata Naga Rani Bandaru, Chitturi Jyothika, Javvaji Charan Gupta, Sachin Guthala, Javvadi Charan Venkata Naidu
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