Safe-Zone Disaster Management System
1Shaheem K S, 2Shijin S, 3Sooraj Sankar, 4Sooraj K Suresh,5Ms.Minu Augustine
1Student, 2Student, 3Student,4Student,5Guide
Computer Science and Engineering Department,
Nehru College of Engineering and Research Centre (NCERC), Thrissur, India
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Abstract - A web-based disaster management application, which has utilized the ability of implementing algorithms for machine learning, thereby being able to predict the predic- tion level of floods, forest fires, and droughts, which bases its analyses from data inputted by weather admin who are the part of the site . Such an ability allows for an earlier warning to users and emergency services to prevent the ac- tual occurrence. It is also a social media platform with func- tions of social media and real-time reporting. The applica- tion allows the users to register and login for reporting of disaster incidents district-wise. Once the post about the dis- aster is done, the entire user who resides in that district gets an instant notification with the news of the happening of the disaster, thus enabling them to quickly disseminate aware- ness and quicken response. The app integrates real-time re- porting, district-specific notification, and disaster prediction features. Thus, it turns out to be a collective resource to build preparedness in natural disasters, thereby increasing com- munity resilience and improving the response efforts in ad- verse or prone disaster areas.
Key Terms:
1. Web-based disaster management application
2. Machine learning algorithms
3. Flood prediction
4. Forest fire prediction
5. Drought prediction
6. Weather data analysis
7. Early warning system
8. Emergency services notification
9. Social media integration
10. Real-time reporting
11. User registration and login
12. District-wise disaster reporting
13. Instant notifications
14. Community awareness
15. Disaster preparedness
16. Resilience building
17. Quick response efforts
18. Disaster-prone areas
