Hackathon Pitch
RescueMesh AI
From chaos to coordinated rescue — an AI-powered disaster response platform that helps emergency teams prioritize SOS reports, assign responders, and coordinate resources faster.
The Problem
During floods, earthquakes, wildfires, hurricanes, and other emergencies, response teams receive many scattered SOS messages. Important details are buried in calls, texts, forms, and social posts. Without fast triage, the most critical cases can be delayed.
Our Solution
RescueMesh AI collects emergency reports, analyzes urgency, recommends resources, identifies duplicate reports, maps affected zones, and generates an operational rescue plan for coordinators.
Core Features
AI Triage
Classifies SOS reports by urgency using emergency keywords, affected population, and incident type.
Crisis Map
Visualizes active emergencies with priority-colored markers and responder information.
Command Center
Turns scattered emergency reports into a prioritized operational action plan.
Resource Matching
Suggests rescue boats, medical responders, ambulances, fire units, shelters, and relief supplies.
Offline SOS Mode
Stores reports locally when connectivity is unavailable, supporting disaster conditions.
Duplicate Detection
Flags similar reports so responders avoid dispatching duplicate teams to the same incident.
Tech Stack
Demo Flow
- 1. Launch the disaster simulator.
- 2. View AI triaged SOS reports in the dashboard.
- 3. Assign responders and ETA.
- 4. Open the crisis map to see affected zones.
- 5. Open AI Action Plan to explain recommended response sequence.
Real-World Impact
RescueMesh AI can support local governments, NGOs, campus safety teams, volunteer networks, and emergency response organizations by reducing coordination time and helping teams focus on the most life-threatening cases first.