ABSTRACT
Over the past few decades, various kinds of disasters have been occurring all over the world each and every day among which they can be natural, technological and man-made. With the disastrous calamities striking all the more regularly as of late due to which there is a rise in emphasis on studying and putting forth strategies of disaster management and establishing the state-of-art advancements to minimize the losses.
In disaster planning, artificial intelligence can do what human brain may neglect or fail to do in the midst of emergencies. This research paper is divided into 3 parts: In the first part of the paper, the research background is established and it particularly examines different existing strategies of disaster management followed in our nation & its opportunities and challenges. An enormous sum is spent by our administration as well as aid agencies in relief and rehabilitation gauges each year. As the famous proverb says “better safe than sorry”. The authors in this part highlight how it has now become progressively apparent that an investment in a fiasco preparedness can spare a large number of lives, essential financial resources, occupations and lessen the expense of overall relief assistance, and the increasing need for inculcating the field of Artificial Intelligence (AI) into development of the existing mechanisms.
Furthermore, in the second part of this research paper, the authors further explore and discuss ways and methodology in which AI can be applied and adopted in the disaster management practices, and also find out the systems prevailing in the world involving use of basic AI mechanisms presenting an in- depth analysis of the same, thereby providing a theoretical analysis in addition to an empirical comparison of each country in order to promote a knowhow of their trends, mechanisms while also simultaneously highlighting the policies followed by these countries. In this part the authors also study and put forth the progress made until now in the field of artificial intelligence and how using AI in the data analysis can identify risk areas and determine future needs. Such software algorithms that imitate human intelligence can help in generating conclusions from natural phenomena presented by spatial data.
The last part of this paper presents the author’s recommendations and suggestions which shall aid in the development of a splendid model or mechanism inculcating the ideas utilized by the countries with best disaster management frameworks. This part of the research paper also recommends the changes that should be incorporated in order to address & alleviate the related technological and social challenges that may arise with the application of this modern-day technology. Furthermore, the authors in this part also present certain exhortations to the legislature relating to several other adjustments that could be made to existing laws in our nation or presenting new structure which shall aid easy and proper implementation, management, application and adoption of this new design which in turn shall help benefit masses.
