Review Paper on Online Crime Reporting System

Online Crime Reporting System aims to revolutionize the conventional crime reporting process by offering a safe, simple, and easy-to-use digital interface for citizens and law enforcement agencies. The project incorporates cutting-edge face recognition technologies—Haar Cascade classifiers and frontal face detection—to support criminal identification and missing persons. Through the use of web-based and image processing technologies, the system supports efficient and real-time reporting, enhances data accuracy, and speeds up investigative response time. The platform consists of modules for branch user registration, incident reporting, database management, and administrative control. It provides secure login interfaces for both police stations and branch users, has image and document upload capabilities, and has data encryption and privacy compliance features such as GDPR and CCPA. Additionally, the system integrates with a centralized PostgreSQL database and RESTful APIs for compatibility with third-party services like GIS and national crime databases. This solution mitigates the problems of underreporting, tardy investigations, and manual data management, providing an extensible platform that enhances transparency, accountability, and public safety. The system is scalable to future expansion via AI-powered analytics, multilingual interfaces, and blockchain-based data integrity solutions.