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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM45436
Volume:
9 |
4 |
Apr 2025
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.
This paper investigate AI-driven felony administration, integrating machine intelligence for crime risk forecast, mechanized investigation foundations, and digital case records. By leveraging predicting analytics, actual-occasion data approach, and AI-assisted permissible interpretation, the study highlights the part of cloud-based depository, interoperability, and honest-time breach analysis in reinforcing police officers efficiency. The unification of AI tools streamlines case administration, betters response periods, and enables dossier-compelled policy-making. Additionally, the research stresses ethical AI arrangement, guaranteeing bias mitigation and solitude agreement. The proposed method empowers law enforcement accompanying litigable insights for full of enthusiasm crime stop and study.
KEYWORDS
Publication Date
4/22/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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