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@article{197165,
        author = {Dr. MK Jayanthi Kannan and Anubhavi and Shashank Pandey and Akshat Bhavsar and Sanyam Bhavsar and Divyani Singh},
        title = {DisasterScope: Disaster Management and Budget Analytics Dashboard},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {6422-6431},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197165},
        abstract = {Natural disasters are infrequent in today's world; the number of these events and how they impact the lives of millions continues to grow. As a result, there is an increasing need to use sophisticated data analytics in order to allocate resources efficiently and manage budgets for public safety. The Disaster Management and Budget Analytics Dashboard provides an integrated, data-driven analytical platform for analyzing both historical and real-time data about disasters. The data analysis produced by this platform allows for meaningful insights that can be used to support decision-making regarding the management of disasters. The Dashboard provides the ability to perform trend analysis of disasters, compare disasters by state, track budgets allocated for disaster management, and use interactive visualization to create a user- friendly environment for the users of the system. The use of predictive analytics, risk assessment methods and real-time data monitoring helps to enhance the ability of authorities and organizations to understand disaster patterns and therefore better allocate their resources. The system is built with the capacity to allow for data uploading and reporting, which also enhances the flexibility and usability of the system. The overall purpose of the system is to enable local authorities and organizations to improve their ability to prepare for, respond to, and plan for disasters through the use of a better-supported process for developing effective and informed management strategies related to disasters.},
        keywords = {Disaster Management, Data Analytics, Budget Analysis, Predictive Analytics, Risk Assessment, Real-Time Monitoring, Data Visualization, Decision Support System},
        month = {April},
        }