PRAKRUTHI PRALAYAM: AN INTELLIGENT DISASTER PREDICTION AND EMERGENCY MANAGEMENT SYSTEM FOR INDIA
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| Format: | Recurso digital |
| Language: | English |
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Zenodo
2026
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| _version_ | 1866901268564279296 |
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| author | Andhra University |
| author_facet | Andhra University |
| contents | <p>Project Title: Prakruthi Pralayam: A Data-Driven Framework for Disaster Response and Risk Mitigation<br>This project presents a comprehensive disaster management system tailored for the Indian geographical context. Titled "Prakruthi Pralayam" (Nature's Catastrophe), the study focuses on integrating real-time data analytics with emergency response protocols. The framework utilizes Python-based data pipelines to aggregate multi-source disaster data, providing a centralized dashboard for situational awareness. By analyzing historical disaster patterns and current environmental metrics, the project aims to minimize response latency and optimize resource allocation during floods, cyclones, and other natural calamities. Key features include automated risk assessment, spatial data visualization, and an integrated communication module for disaster relief coordination.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19940682 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | PRAKRUTHI PRALAYAM: AN INTELLIGENT DISASTER PREDICTION AND EMERGENCY MANAGEMENT SYSTEM FOR INDIA Andhra University Disaster Planning/methods Machine Learning <p>Project Title: Prakruthi Pralayam: A Data-Driven Framework for Disaster Response and Risk Mitigation<br>This project presents a comprehensive disaster management system tailored for the Indian geographical context. Titled "Prakruthi Pralayam" (Nature's Catastrophe), the study focuses on integrating real-time data analytics with emergency response protocols. The framework utilizes Python-based data pipelines to aggregate multi-source disaster data, providing a centralized dashboard for situational awareness. By analyzing historical disaster patterns and current environmental metrics, the project aims to minimize response latency and optimize resource allocation during floods, cyclones, and other natural calamities. Key features include automated risk assessment, spatial data visualization, and an integrated communication module for disaster relief coordination.</p> |
| title | PRAKRUTHI PRALAYAM: AN INTELLIGENT DISASTER PREDICTION AND EMERGENCY MANAGEMENT SYSTEM FOR INDIA |
| topic | Disaster Planning/methods Machine Learning |
| url | https://doi.org/10.5281/zenodo.19940682 |