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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM56370

Smart Legal Advisor: An AI-Powered System for Indian Penal Code Interpretation

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM56370

Volume:

10 |

2 |

Feb 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM56370

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

DG

DR.S. Gnanapriya1

PP

Prasya P2

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Abstract

Legal information in India is often complex and inaccessible to the general public due to technical language and limited legal awareness. This paper presents Legal Advisor Pro, an AI-powered legal assistance system designed to simplify and democratize access to provisions of the Indian Penal Code (IPC 1860) and the Bharatiya Nyaya Sanhita (BNS 2023). The system leverages Natural Language Processing (NLP) and machine learning techniques, including semantic search and text classification, to interpret user queries expressed in natural language and map them to relevant legal sections, offenses, and procedural guidance. Developed using Python and deployed through a Streamlit-based web interface, the application ensures usability, scalability, and minimal hardware requirements. The system supports multilingual input, enabling wider adoption across diverse user groups. Emphasis is placed on ethical compliance by providing informational assistance without offering definitive legal advice. Experimental evaluation demonstrates that the proposed system improves legal information retrieval accuracy and user understanding when compared to traditional

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based search methods

Cite This Article

DR.S. Gnanapriya1, Prasya P2, "Smart Legal Advisor: An AI-Powered System for Indian Penal Code Interpretation," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 2, Feb 2026. https://doi.org/10.55041/IJSREM56370

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Publication Date

5/1/2026

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Review Rounds: 2

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