AI-Driven Integrated Platform for Comprehensive Flood and Cyclone Disaster Management

Authors

  • Abhendra Pratap Singh Department of Mechanical Engineering, HMRITM, Hamidpur, New Delhi, 110036, Delhi, India Author
  • Nandini Sharma Department of Computer Science and Engineering, HMRITM, Hamidpur, New Delhi, 110036, Delhi, India Author
  • Arpit Dwivedi Department of Computer Science and Engineering, HMRITM, Hamidpur, New Delhi, 110036, Delhi, India Author
  • Aakriti Sharma Department of Artificial Intelligence & Machine Learning, HMRITM, Hamidpur, New Delhi, 110036, Delhi, India Author
  • Dhruv Popli Department of Computer Science and Engineering, HMRITM, Hamidpur, New Delhi, 110036, Delhi, India Author
  • Vansh Garg Department of Computer Science and Engineering, HMRITM, Hamidpur, New Delhi, 110036, Delhi, India Author
  • Saksham Aggarwal Department of Computer Science and Engineering, HMRITM, Hamidpur, New Delhi, 110036, Delhi, India Author

DOI:

https://doi.org/10.21467/proceedings.7.6.4

Keywords:

Disaster management, Artificial Intelligence, Application Programming Interface

Abstract

Disaster Management, a strategy or an activity that involves risk reduction planning and effective preparations for all stages of a crisis cycle, faces challenges in synchronization of the flow of information resulting in constant communication problems. This coordination imbalance leads to vulnerabilities in communities and makes them unprepared to respond and recover effectively. To fill these gaps, a new integrated inclusive, and accessible AI-driven platform, Surakshit Bharat has been introduced to mitigate the existing gap as mentioned above. It would integrate government agencies, NGOs, volunteers, and citizens, ensuring those who are most at risk can receive assistance and aid relief as fast as possible. Equipped with multiple technologies, the platform would be capable of sending out alerts in real time, remote assistance, a voice interface, and gamified educational training to improve self-efficacy and efficiency during preparation and rescue efforts. Elders and people with low literacy levels can easily access the platform through a simple navigated interface and multilingual guides. Utilizing cutting-edge technologies with a focus on inclusivity, the platform portrays itself as a comprehensive, integrated, and innovative solution in the crisis management system.

References

1. D. Thattai, S. Rangarajan, R. Dinesh, and L. Kumar, “Natural disaster management in India with focus on floods and cyclones,” IOP Conference Series: Earth and Environmental Science, vol. 80, p. 012054, 2017, doi: 10.1088/1755-1315/80/1/012054.

2. T. Tingsanchali, “Urban flood disaster management,” Procedia Engineering, vol. 32, pp. 25–37, 2012

3. M. Rahman, L. Di, E. G. Yu, J. Tang, M. S. Rahman, and M. M. Rahman, “Flood forecasting by using machine learning: A study leveraging historic climatic records of Bangladesh,” Water, vol. 15, no. 22, p. 3970, 2023, doi: 10.3390/w15223970.

4. A. Trekin, G. Novikov, G. Potapov, V. Ignatiev, and E. Burnaev, “Satellite imagery analysis for operational damage assessment in emergency situations,” arXiv preprint arXiv:1803.00397, 2018.

5. P. Emami and K. Javanmardi, “The synergy of artificial intelligence (AI) and geographic information systems (GIS) for enhanced disaster management: Opportunities and challenges,” Disaster Medicine and Public Health Preparedness, vol. 17, pp. 1–3, 2023, doi: 10.1017/dmp.2023.123.

6. P. Palttala, C. Boano, R. Lund, and M. Vos, “Communication gaps in disaster management: Perceptions by experts from governmental and non-governmental organizations,” Journal of Contingencies and Crisis Management, vol. 20, no. 1, pp. 2–12, 2012, doi: 10.1111/j.1468-5973.2011.00656.x.

7. IBM, “What is an API (Application Programming Interface)?,” IBM, [Online]. Available: https://www.ibm.com/think/topics/api. [Accessed: Feb. 12, 2025].

8. M. A. Hoque, S. Phinn, and C. Roelfsema, “A systematic review of tropical cyclone disaster management research using remote sensing and spatial analysis,” Ocean & Coastal Management, vol. 146, pp. 109–120, 2017.

9. D. Alexander, “Managing disasters: The role of the public sector,” Disaster Prevention and Management, vol. 17, no. 1, pp. 6–17, 2008, doi: 10.1108/09653560810855928.

10. H. E. Miller, K. J. Engemann, and R. R. Yager, “Disaster planning and management,” Communications of the IIMA, vol. 6, no. 2, Article 4, 2006, doi: 10.58729/1941-6687.1308.

11. M. Matracia, N. Saeed, M. A. Kishk, and M. S. Alouini, “Post-disaster communications: Enabling technologies, architectures, and open challenges,” arXiv preprint arXiv:2203.13621, 2022. [Online]. Available: https://arxiv.org/abs/2203.13621. [Accessed: Feb. 15, 2025].

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Published

2025-11-21

How to Cite

[1]
A. P. Singh, “AI-Driven Integrated Platform for Comprehensive Flood and Cyclone Disaster Management”, AIJR Proc., vol. 7, no. 6, pp. 26–32, Nov. 2025, doi: 10.21467/proceedings.7.6.4.