SafeRoute: Analysing Online Websites To Indicate Crime Zones Using Machine Learning And Suggest Safe Route
Shreya Shetty, Shruti Shetty, Prathamesh Bhoi, Swapnali Kurhade · 2023
The safety and security of citizens is a fundamental concern for any society, and the rising crime rate in India is a cause for serious concern. This has led to a growing demand for tools and technologies that can help citizens stay informed and protected from crime. Various news outlets frequently report on criminal incidents, providing information about the nature of crime, location, details about the suspects involved and information on the investigation process. In this paper, we propose a system to extract crime-related information from online news articles focusing on Delhi and Mumbai to provide citizens with valuable information on crime-prone areas and enhance their safety. The proposed system utilizes K-Means clustering algorithm to calculate the danger index. The end product is an application to provide valuable insights on crime-prone areas, advise safety precautions and provide emergency contact options to ensure the safety of the user. With this system, users can be aware of the areas that are more susceptible to crime and take necessary precautions to stay safe. We believe that the proposed system can play a crucial role in promoting a safer environment for citizens in India.