Disaster Evaluation Devpost Takes the data from disasters datasets, and creates a visualization for you to evaluate if you are in a high or low risk of a natural disaster depending on your country. Our solution processes pre and post disaster images and generates a comprehensive damage assessment report. the report categorizes affected areas into high and low priority zones, helping government agencies and emergency responders make informed decisions.
Aws Disaster Response Hackathon Improve Disaster Response With Machine Crisis net is a real time disaster response dashboard that utilizes ai agents to detect threats, record severity, map impact, locate shelter, and send targeted alerts when minutes matter. Inspired by communities affected by wildfires, floods, and emergencies, our goal is to empower everyday people—citizens, volunteers, first responders—to share and receive rapid, validated disaster information. Disaster dashboard provides a real time global view of natural disasters and crisis events through an interactive map and live data feeds. the platform aggregates disaster data from multiple trusted sources and presents it in a single unified interface. Data doomsday a data driven platform to analyze global disaster risks, predict future impacts, and guide smarter aid and policy decisions.
Disaster Mapper Datascience For Humanity On244 Devpost Disaster dashboard provides a real time global view of natural disasters and crisis events through an interactive map and live data feeds. the platform aggregates disaster data from multiple trusted sources and presents it in a single unified interface. Data doomsday a data driven platform to analyze global disaster risks, predict future impacts, and guide smarter aid and policy decisions. Whether it’s firefighting, medical aid, or disaster coordination, your solution will be self reliant, collaborative, and capable of operating in even the most challenging environments. We built disaster scenarios (fire, earthquake, and medical emergencies) using unity. this included particle effects, shaking environments, interactable items like fire extinguishers, and simple physics. Through this hackathon, we hope to stimulate ways to apply machine learning to solve pressing challenges in natural disaster preparedness and response. the scope of this hackathon is broad, but we have provided some parameters to guide participants’ work:. Five specialized ai agents coordinate in real time to scout threats, triage severity, match resources, and dispatch multilingual alerts — all triggered by a single zip code. built for hackusf 2026, focused on tampa area developed by knight hacks & hack@ucf members uploaded onto devpost, live at crisis net.tech 🏆 hackusf 2026 winner for best use of .tech domain.
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