Crime reporting plays a vital role in maintaining public safety and effective law enforcement. However, traditional crime reporting mechanisms are often time-consuming, location-dependent, and inaccessible during emergencies. With the rapid growth of mobile technologies, location-aware applications have emerged as a promising solution to bridge the gap between citizens and law enforcement agencies. This review paper presents a comprehensive analysis of location-aware crime reporting systems that enable users to report incidents directly through mobile or web-based applications. The focus of this review is on systems that integrate real-time crime reporting, location awareness using GPS services, crime data analysis and visualization, emergency contact access, and the use of dummy datasets for demonstration and evaluation purposes. The paper surveys existing literature related to online crime reporting platforms, cyber crime reporting systems, and intelligent crime analysis systems. A comparative discussion is provided to highlight the strengths, limitations, and research gaps in current solutions. The proposed conceptual framework emphasizes five core objectives: enabling direct crime reporting with location and description, identifying nearby police stations and crime hotspots, visualizing crime trends using charts and graphs, providing emergency contact facilities, and utilizing synthetic datasets for analysis and demonstration. The methodology section outlines the system workflow, block diagram, hardware and software requirements, and algorithmic flow for crime reporting and visualization modules. The review further discusses observed results from dummy datasets, demonstrating how crime trends and hotspot patterns can be effectively visualized to improve public awareness. Applications, advantages, limitations, and real-world applicability of such systems are also examined. This paper concludes by emphasizing the importance of location-aware crime reporting systems in smart city initiatives and highlights future research directions toward scalable, secure, and citizen-centric crime management platforms.