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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM68432

Comparative Analysis of AI Tools for Academic Research and Technical Report Writing

Stream/Area:

-

Subject:

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Paper ID:

IJSREM68432

Volume:

10 |

10 |

Oct 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

K.Abinaya

K.Abinaya

Department of computer science and engineering

Kings College of Engineering

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A.Sandhiya

A.Sandhiya

Department of computer science and engineering

Kings College of Engineering

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S.Shanmathi

S.Shanmathi

Department of computer science and engineering

Kings College of Engineering

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S.Ramakavi

S.Ramakavi

Department of computer science and engineering

Kings College of Engineering

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J.Sandhiya

J.Sandhiya

Department of computer science and engineering

Kings College of Engineering

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Abstract

Students and researchers now have access to a wide range of artificial intelligence (AI) tools that claim to help with finding literature, reading papers, drafting text, editing language and managing references. These tools differ greatly in how they work, how reliable they are and how safely they can be used in academic work. This paper presents a comparative analysis of AI tools used for academic research and technical report writing. It groups the tools into four categories (general-purpose chat assistants, AI research and literature tools, writing and editing assistants, and reference managers), proposes a set of seven evaluation criteria, compares the categories against these criteria, and recommends a responsible workflow for students. The paper is conceptual and based on a review of published literature and the publicly documented functions of the tools. It does not report experimental results, and the ratings given are qualitative and illustrative. It concludes that no single tool is best for all tasks, that tools which are grounded in real sources are safer for literature work than tools which only generate text, and that human verification and honest disclosure remain essential.

KEYWORDS

artificial intelligence large language models academic research technical report writing literature review research tools academic integrity comparative analysis

Cite This Article

K.Abinaya, A.Sandhiya, S.Shanmathi, S.Ramakavi, J.Sandhiya, "Comparative Analysis of AI Tools for Academic Research and Technical Report Writing," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-6, Oct 2026.

Full Article/Conclusion

AI tools can make research and report writing faster and can help students understand difficult material, but their value depends on choosing the right tool for each task and checking what it produces. General-purpose chat assistants are flexible but risky for facts and references; research tools are better grounded in real literature; writing assistants improve language but not correctness; and reference managers provide reliable citation handling. A combined workflow with clear human responsibility, verification and honest disclosure gives the best balance of benefit and risk. Future work should test these categories experimentally and update the comparison as the tools continue to develop.

References

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Publication Date

10/28/2026

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