Abstract :

One of the most talked-about activities on social media is the dissemination of information about the latest natural or man made catastrophes. Key responsibilities in this domain include the immediate detection of critical needs, the rapid dissemination of relevant information, and the rapid reaction to those needs. Using social media as a central component, this study aims to create a solution for crisis administration and emergency reaction. This method employs text analysis techniques to refine the process by which officials respond to emergencies and sift information collected automatically to aid in rescue efforts. To facilitate a swift response in an emergency, we employed cutting-edge methods in the fields of Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP) based on supervised and unsupervised learning with social media datasets. The blockchain infrastructure is used in this process to verify the trustworthiness of t