Jack Sparrow Publishers Jack Sparrow Publishers Digital Library

International Journal of Computational Science and Engineering Research
Volume 3, Issue 1 (January - March)
Article type: Original Article
Published: 23 September 2026 |Pages: 86 - 90 |ISSN: 3107 - 8605
https://doi.org/10.63328/IJCSER-V3RI1P10
Copyright © 2026 D. Aruna Kumari et al.
International Journal of Computational Science and Engineering Research
Open Access publication.

CIVIC EYE : AI - Powered Public Safety Assistant

D. Aruna KumariiD1, and Mohd AkbariD2

Abstract

No ways rapidly rising crime rates due to digital fraud and which is limited access to real-time environmental updates, group of users struggle to stay informed and get quick assistance through various emergencies situations. This paper mainly focus on develops an intelligent, secure interactive chatbot to support strengthen for public safety for safely livelihood and digital crime , fraud awareness. This awareness acting as a digital link up between users and law enforcement securely, the chatbot identifies to provides local crime statistics with auto updates, practical safety guidelines, and access to essential support customer support services. It majorly queries a controlled crime dataset to assist user requests and helps users understand nearby current crime patterns and trends. Using NLP and ML methods, the proposed system identifies user intent and key challenging entities to generate exact accurate, conversational replies based on situational demands. The designed chatbot is wisely neural network model for query deep classification and NLTK for text cleaning, image and preprocessing. It also supports additionally online complaint registration, confirmations nearby police stations through an interactive map connecting platforms, and includes an SOS alert feature for urgent situations using Traffic Management System to it improves user accessibility, awareness, and communication for safer communities.

Keywords: Public Safety Chatbot, Crime Awareness System, NLP, Neural Network–Based Query Classification

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How to cite this article

D Aruna Kumari, Mohd Akbar, CIVIC EYE : AI - Powered Public Safety Assistant ,International Journal of Computational Science and Engineering Research, Volume. 3, Issue. 1, pp. 86-90, January 2026. CrossRef DOI: https://doi.org/10.63328/IJCSER-V3RI1P10