LLM-Assisted Crisis Management: Building Advanced LLM Platforms for Effective Emergency Response and Public Collaboration

Emergencies and critical incidents often unfold rapidly, necessitating a\nswift and effective response. In this research, we introduce a novel approach\nto identify and classify emergency situations from social media posts and\ndirect emergency messages using an open source Large Language Model, LLAMA2.\nThe goal is to harness the power of natural language processing and machine\nlearning to assist public safety telecommunicators and huge crowds during\ncountrywide emergencies. Our research focuses on developing a language model\nthat can understand users describe their situation in the 911 call, enabling\nLLAMA2 to analyze the content and offer relevant instructions to the\ntelecommunicator, while also creating workflows to notify government agencies\nwith the caller's information when necessary. Another benefit this language\nmodel provides is its ability to assist people during a significant emergency\nincident when the 911 system is overwhelmed, by assisting the users with simple\ninstructions and informing authorities with their location and emergency\ninformation.\n