Community Crime Reporting and Alert System

The Community Crime Reporting and Alert System is a web-based application designed to facilitate real-time crime reporting and awareness through modern web technologies. Built using HTML, CSS, JavaScript (React.js or Vue.js for frontend), and Node.js with Express.js for backend, the system ensures a seamless user experience. It employs MongoDB or MySQL as the database to store user reports, authentication details, and crime statistics securely. The system supports user authentication (JWT or OAuth 2.0), allowing registered users to report crimes while also providing an option for anonymous submissions. Reported incidents include key details such as crime type, description, date, time, and location, which are stored in the database and visualized on an interactive Google Maps API integration.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-12
DOI
https://doi.org/10.55041/ijsrem44332
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Community Crime Reporting and Alert System

Arockia Mary P, Abhinav Sharma
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Network Security and Intrusion Detection
article

Community Crime Reporting and Alert System

Arockia Mary P, Abhinav Sharma
article en

Abstract

The Community Crime Reporting and Alert System is a web-based application designed to facilitate real-time crime reporting and awareness through modern web technologies. Built using HTML, CSS, JavaScript (React.js or Vue.js for frontend), and Node.js with Express.js for backend, the system ensures a seamless user experience. It employs MongoDB or MySQL as the database to store user reports, authentication details, and crime statistics securely. The system supports user authentication (JWT or OAuth 2.0), allowing registered users to report crimes while also providing an option for anonymous submissions. Reported incidents include key details such as crime type, description, date, time, and location, which are stored in the database and visualized on an interactive Google Maps API integration.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Openalex Percentile: Top 93%
Network Security and Intrusion Detection
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