A Unified Big Data and AI-Driven Predictive Framework for Multi-Risk Climate Pattern Modeling and Environmental Hazard Forecasting

E. Raghavendrakumar, V. Kamalakar, C. Selvakumar, P. Vignesh, V. Divya, Keerthana R.

2025

Abstract

More frequent and severe climate-related events require forward-looking systems that can simulate complex environmental interactions. In this paper, we present a one-spot big data and AI-enabled prediction framework that is comprehensively developed for simulating the climate change and predicting wide range of its associated environmental hazards such as floods, heatwaves, and droughts. Using diverse datasets including satellite images, weather data and sensors from the IoT networks, the system applies machine learning and deep neural networks to detect trends, predict the future and send alerts on risks early. The method is in contrast with current practices, which are often limited by specific climate zone or cover only a limited extent of the variables, making it scalable and applicable for different climatic zones. We validate the performance of the system using real-time data and show that the predictions are more accurate, comprehensible and contain more policy information that can be integrated into climate resilience policies than previous methods.

Paper Citation

in Harvard Style

Raghavendrakumar E., Kamalakar V., Selvakumar C., Vignesh P., Divya V. and R. K. (2025). A Unified Big Data and AI-Driven Predictive Framework for Multi-Risk Climate Pattern Modeling and Environmental Hazard Forecasting. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 363-370. DOI: 10.5220/0013866000004919

in Bibtex Style

@conference{icrdicct`2525,
author={E. Raghavendrakumar and V. Kamalakar and C. Selvakumar and P. Vignesh and V. Divya and Keerthana R.},
title={A Unified Big Data and AI-Driven Predictive Framework for Multi-Risk Climate Pattern Modeling and Environmental Hazard Forecasting},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={363-370},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013866000004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - A Unified Big Data and AI-Driven Predictive Framework for Multi-Risk Climate Pattern Modeling and Environmental Hazard Forecasting
SN - 978-989-758-777-1
AU - Raghavendrakumar E.
AU - Kamalakar V.
AU - Selvakumar C.
AU - Vignesh P.
AU - Divya V.
AU - R. K.
PY - 2025
SP - 363
EP - 370
DO - 10.5220/0013866000004919
PB - SciTePress