Disaster Management with Sentiment and Earthquake/Tsunami Prediction System | Machine Learning [Video]

Disaster Management with Sentiment and Earthquake/Tsunami Prediction System | Machine Learning

To get This Project 👉- https://www.ieeexpert.com/?p=2654

🔥 Our Proposed Project Title: DisasterGuard: AI-Powered Disaster Management System

🔍Implementation: Python.
🧠Algorithm / Model Used: Random Forest + LSTM
🎯Web Framework: Flask.
💻Frontend: HTML, CSS, JavaScript.
Accuracy : 97%

ABSTRACT
This project focuses on developing a disaster management system that leverages sentiment analysis for real-time disaster response and prediction of earthquakes, floods, and tsunamis.
By analyzing social media data using natural language processing, the system assesses public sentiment during disasters.
Additionally, predictive models are built using Random Forest (RF) and Long Short-Term Memory (LSTM) algorithms to forecast disaster events, enabling timely responses and mitigating potential impacts.
The integration of sentiment analysis and predictive modeling offers a comprehensive approach to disaster management.

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Including Packages
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* Base Paper
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Online Execution Support
* Addons
* Video Tutorials
* Supporting Softwares

In this insightful video, we delve into the innovative world of disaster management, focusing on a cutting-edge system that integrates sentiment analysis with earthquake and flood prediction technologies. Discover how this comprehensive approach not only enhances preparedness but also improves community response during critical times. We will explore the mechanisms behind sentiment prediction and its role in assessing public emotions and reactions before, during, and after disasters. Learn how combining this data with advanced predictive models for earthquakes and floods can significantly mitigate risks and save lives. Join us as we discuss real-world applications, challenges, and the future of disaster management systems. Whether you’re a student, a professional in emergency management, or simply interested in technology’s role in safeguarding communities, this video is packed with valuable insights and information. Don’t forget to like, share, and subscribe for more content on technology and disaster management solutions!

00:00 Introduction
03:09 Reference paper
04:29 PPT Explanation
06:41 Proposed Solution
07:18 Overall Architecture
11:03 Dataset Collection
11:40 Project Demo
17:43 Conclusion

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