AI For Climate Vulnerability Assessment

Year : 2025 | Volume : 03 | Issue : 01 | Page : 18 33
    By

    K. Anupriya,

  • Haripriya.I,

  • Jeferina Mary Catchirayar,

  • Lakshmi. R,

  1. Student, Department of AIML, Manakula Vinayagar Institute of Technology, Puducherry, India
  2. Student, Department of AIML, Manakula Vinayagar Institute of Technology, Puducherry, India
  3. Student, Department of AIML, Manakula Vinayagar Institute of Technology, Puducherry, India
  4. Student, Department of AIML, Manakula Vinayagar Institute of Technology, Puducherry, India

Abstract

Climate change is one of the biggest problems we face every day. The main problems are high temperatures, rising sea levels, and changes in weather, which will be worse in the upcoming years. To predict and adapt to these impacts, we need to create data-driven solutions. The main tool for predicting climate change was artificial intelligence, which can also be utilised to predict the weather and alert people of impending dangers. Massive information detection from imagery from satellites, various climate models, and other AI may provide useful responses that help in decision-making and frequently help us in becoming ready for climate change. Given the potential outcomes, the use of AI to climate change adaptation presents major moral problems. whereas the model remains to be built. Regarding this, this article examines the most recent developments and potential routes of Ai enabled climate change adaptation remedies, emphasizing both the potential benefits and ethical concerns that need must be given consideration. Using AI to adapt for the future use.

Keywords: Artificial Intelligence, AI-powered models, Climate change adaptation, Early warning systems, Climate modeling and projections

[This article belongs to International Journal of Radio Frequency Innovations ]

How to cite this article:
K. Anupriya, Haripriya.I, Jeferina Mary Catchirayar, Lakshmi. R. AI For Climate Vulnerability Assessment. International Journal of Radio Frequency Innovations. 2025; 03(01):18-33.
How to cite this URL:
K. Anupriya, Haripriya.I, Jeferina Mary Catchirayar, Lakshmi. R. AI For Climate Vulnerability Assessment. International Journal of Radio Frequency Innovations. 2025; 03(01):18-33. Available from: https://journals.stmjournals.com/ijrfi/article=2025/view=206645


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Regular Issue Subscription Review Article
Volume 03
Issue 01
Received 05/03/2025
Accepted 29/03/2025
Published 08/04/2025
Publication Time 34 Days
238

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