AI-Driven Predictive Models for Climate-Induced Displacement in Tamil Nadu

P. S. Theksidha; Danish Gulzar

doi:10.2991/978-94-6239-768-2_21

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AI-Driven Predictive Models for Climate-Induced Displacement in Tamil Nadu

Authors

P. S. Theksidha¹, Danish Gulzar²^{, *}

¹Student of Department of Government and Public Administration, Lovely Professional University, Punjab, India

²Assistant Professor, School of Social Sciences, Lovely Professional University, Punjab, India

^*Corresponding author. Email: danish.30425@lpu.co.in

Corresponding Author

Danish Gulzar

Available Online 7 September 2026.

DOI: 10.2991/978-94-6239-768-2_21 How to use a DOI?
Keywords: Artificial Intelligence; AI Forecasting; Predictive Modeling
Abstract: Coastal regions are facing severe risks, with projections indicating that by 2100, we can expect a 77.88 cm sea-level rise. Though the state of Tamil Nadu has implemented several housing initiatives, there are still challenges like inadequate infrastructure and livelihood disruptions. Here, artificial intelligence can be used in climate adaptation strategies for prediction and forecasting of environmental displacement. This study explores the AI-driven models that can assist in improving future policy formulation. Findings reveals that AI has significant role to play in optimizing resource allocation, simulating adaptive strategies, and improving policy formulation.
Copyright: © 2026 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits any noncommercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this chapter or parts of it.

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Volume Title: Proceedings of the Third International Conference on Recent Advances in Computing Sciences (RACS 2025)
Series: Advances in Intelligent Systems Research
Publication Date: 7 September 2026
ISBN: 978-94-6239-768-2
ISSN: 1951-6851
DOI: 10.2991/978-94-6239-768-2_21 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits any noncommercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this chapter or parts of it.

Cite this article

ris enw bib

TY  - CONF
AU  - P. S. Theksidha
AU  - Danish Gulzar
PY  - 2026
DA  - 2026/09/07
TI  - AI-Driven Predictive Models for Climate-Induced Displacement in Tamil Nadu
BT  - Proceedings of the Third International Conference on Recent Advances in Computing Sciences (RACS 2025)
PB  - Atlantis Press
SP  - 198
EP  - 203
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-768-2_21
DO  - 10.2991/978-94-6239-768-2_21
ID  - Theksidha2026
ER  -

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