Relevium - Disaster Management using Twitter
Ayesha Gulrajani, Jay Bendre, Vignesh Pillai, Asha Bharambe · 2021 International Conference on Intelligent Technologies (CONIT) · 2021
History is resolute with the platitude of uncertainty. Humanity as a race has metamorphosized itself to be prepared for any contingency, and adapt while evolving. This paper is an outcome of the will of humanity to combat any contingency and thereby deploy effective solutions for the same. With the efflux of free-flowing algorithmic digitization, humanity has optimally utilized data for progress in diverse spheres. This is the facet we aim to optimally utilize for efficacious disaster management. Our project, Relevium is a one-stop disaster management system with an interface for various companies, nonprofits, and government agencies with platforms to collaborate and provide immediate relief to victims first hand. The collection and analysis of tweets is a viable source of live data for the job of disaster management. Relevium can identify the presence of disasters and associated needs of victims via Twitter data (tweets). An analysis is carried out by classifying live, incoming tweets accurately. Once all the required information is gathered regarding the disaster, analysis and predictions assist in directing required officials to the affected areas and victims to provide relief.