Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM56370
Volume:
10 |
2 |
Feb 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
KEYWORDS
Publication Date
5/1/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
4
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...