Safe-Zone Disaster Management System

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