Population density, natural and man-made disasters make public safety a problem of growing importance. In this project we aim to enable the vision of smart and safe cities, by exploiting mobile and social networking and internet technologies to securely and privately extract, model and embed real-time public safety information into quotidian user experiences. We first propose approaches to define location and user based safety metrics. We evaluate the ability of existing forecasting techniques to predict future safety values. In this project we connect the all integrate parts in smart phone to communicate each other in this project that capture the user’s location data periodically after sending to Hospitals or other relatives. This database can only be accessed by authorized third parties, e.g., such as insurance companies or in hospitals. Similarly, describes a system that notifies the status of a moving object – in terms of location of accident an d its positioning to third parties.