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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65477
Volume:
10 |
6 |
Jun 2026
Pages:
1-5
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.
Artificial Intelligence and Data Science
Anjuman-I-Islam Abdul Razzak Kalsekar Polytechnic College of Engineering
Artificial Intelligence and Data Science
Anjuman-I-Islam Abdul Razzak Kalsekar Polytechnic College of Engineering
The exponential surge in digital connectivity has inadvertently escalated the incidence of both conventional real-world infractions and complex cyber crimes, such as UPI fraud, identity theft, and online extortion. In the immediate aftermath of an incident, victims frequently experience severe psychological stress compounded by a critical deficit in actionable, structured legal guidance. Traditional avenues of information, including general-purpose AI conversational agents and scattered government portals, often yield long-form, ambiguous, or highly delayed responses that fail to mitigate urgency. This paper presents CrimeShield AI, an intelligent, deterministic emergency guidance platform engineered to bridge the critical gap between crime occurrence and formal legal reporting. Utilizing an AI-assisted classification engine coupled with a granular, rule-based decision logic mechanism and keyword matching, the system instantly transforms unstructured natural language incident descriptions into categorical insights. Upon evaluating an incident, CrimeShield AI bypasses long narrative responses to output a single, high-density, standardized response card containing explicit emergency actions, evidentiary prerequisites, jurisdictional reporting procedures, severity levels, and an automated, ready-to-use First Information Report (FIR) or formal complaint draft. Implementation evaluations demonstrate a text-to-crime classification accuracy of 96.2% with a sub-second system response latency of 0.24 seconds. The system establishes a novel paradigm for immediate, deterministic victim-response infrastructure, ensuring proper digital evidence preservation and escalating public security literacy.
KEYWORDS
The development and evaluation of CrimeShield AI proves that front-end emergency guidance software can transform how the public handles cyber and physical crimes. By combining token matching and client-side decision trees, the system addresses the critical gap of delayed response during high-stress windows. The system avoids long narrative explanations, delivering instead a structured, high-density Response Card that equips victims with immediate actions, clear evidence checklists, and automatically formulated complaint text. With an average classification accuracy of 96.2% and an execution speed of 0.24 seconds, CrimeShield AI demonstrates outstanding functional efficiency. Ultimately, this platform serves as an accessible, secure legal tech solution that protects evidence, supports victims, and strengthens community digital resilience.
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Publication Date
6/25/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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