Advanced Emergency Service Locator: IoT and Machine Learning for Efficient Emergency Response

The Emergency Service Locator (ESL) project describes a reformed system of emergency response that uses advanced localization technology. This paper presents some essential features of ESL such as exact identification of incident location, user-friendly interface, tracking incidents in real-time and co-ordination between different agencies. In addition, ESL incorporates two additional algorithms: one for detecting false emergency calls and another for identifying hit-and-run accidents. While greatly improving time management during emergencies as well as cooperation among responding organizations, ESL also poses privacy concerns and exposes the system to cyber-attacks due to its reliance on reliable networks. The adaptability to wearable devices is another aspect that makes this system more responsive. Therefore, it can be stated without any doubt that public safety will be improved significantly through implementation of such like systems but still there are challenges which need continuous improvement so that all people can benefit from them regardless of their abilities or locations.