Published on: May 2026
AI BASED ENVIRONMENTAL MONITORING SYSTEM FOR DISASTER PREDICTION.
Siddharth Hukire Aditya Kalbande Prasad Gite
Dr.C.A.Manjare
Article Status
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Abstract
The system employs a network of IoT sensors to collect environmental parameters such as temperature, humidity, air pressure, soil moisture, vibration, and gas levels from different locations. The gathered data is transmitted to a cloud-based platform, where it undergoes preprocessing and feature extraction. Machine learning models then analyze the data to detect unusual patterns and predict the probability of upcoming disasters. By comparing current readings with historical datasets, the AI engine provides accurate early warnings with minimal false alarms.
How to Cite this Paper
Hukire, S., Kalbande, A. & Gite, P. (2026). AI Based Environmental Monitoring System for Disaster Prediction.. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.805
Hukire, Siddharth, et al.. "AI Based Environmental Monitoring System for Disaster Prediction.." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.805.
Hukire, Siddharth,Aditya Kalbande, and Prasad Gite. "AI Based Environmental Monitoring System for Disaster Prediction.." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.805.
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References
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- •Published on: May 28 2026
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