Publication Type : Conference Paper
Publisher : ACM
Source : Proceedings of the 24th International Conference on Distributed Computing and Networking, 2023
Url : https://dl.acm.org/doi/abs/10.1145/3571306.3571437
Campus : Amritapuri
School : School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Mechanical Engineering
Verified : No
Year : 2023
Abstract : Disasters are inevitable for the coastal community due to their geographical closeness to the vast ocean. Sea-level rise, coastal floods, cyclones, hurricanes, tsunamis, and even high tides affect coastal communities across the globe. It leads to substantial economic loss and loss of human lives and properties, affecting the coastal communities’ livelihood and sustainability. Often the warning time and the preparation time to take action are relatively short. The community needs to be prepared to move to a safer location in this short duration. This work addresses the disaster risk reduction methods that need to be adopted by the coastal communities in India to reduce the impact of natural disasters and climate change risks they are susceptible. We propose an AI-based chatbot to provide accurate and up-to-date information about the spatiotemporally varying disaster scenarios and the vulnerability and resilience indexes. The AI-based chatbot will enhance the user experience and user safety by providing accurate information about disaster alerts through their smartphones.
Cite this Research Publication : Sruthy Anand, Dhanesh Raj, AM Abhishek Sai, Sethuraman N Rao, Maneesha Vinodini Ramesh "Techno-Social Synergy for Disaster Resilience in Coastal Communities: A Sustainable Approach", Proceedings of the 24th International Conference on Distributed Computing and Networking, 2023