Implementing an AI-Driven Alert System for Crime Detection

Madhana Shanmugam P , Mathan S , Sreevarsha S , Swetha J , Dharani krishnan M

This report encapsulates the development and implementation of an AI-Driven Alert System for Crime Detection, presenting a cutting-edge solution to enhance law enforcement capabilities. The project's primary objective is to address the shortcomings of conventional crime detection methods by leveraging the power of artificial intelligence (AI). The chosen model is tailored to effectively identify patterns associated with criminal activities, ensuring a proactive approach to law enforcement. Ethical considerations play a pivotal role in the project, emphasizing the responsible deployment of AI technologies in sensitive domains. The report outlines the intricate integration of the AIdriven model with existing surveillance systems, detailing the mechanisms for real-time alert generation upon the detection of suspicious activities. This innovative approach not only streamlines the crime detection process but also significantly reduces response times, thereby contributing to improved public safety. The report concludes with insights into the challenges faced during implementation, offering valuable reflections on overcoming obstacles and optimizing the system for practical deployment. Overall, this report serves as a comprehensive guide to the development and implementation of an AI-Driven Alert System poised to revolutionize crime detection strategies.

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"Implementing an AI-Driven Alert System for Crime Detection", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 8, page no.163 - 165, August-2024, Available :https://ijsdr.org/papers/IJSDR2408019.pdf

Volume 9 Issue 8, August-2024

Pages : 163 - 165

Paper Reg. ID: IJSDR_211161

Published Paper Id: IJSDR2408019

Downloads: 000347337

Research Area: Engineering

Country: VIRUDHUNAGAR, TAMIL NADU, INDIA

Published Paper PDF: https://ijsdr.org/papers/IJSDR2408019

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2408019

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition