CLUSTER DISASTER-IMAGERY-RESPONSE · 7 ENTRIES · EARLIEST ENTRY 2026-08-15

AI disaster damage assessment

This cluster comprises AI-driven platforms that ingest satellite, drone, or street imagery to detect emergency events, classify infrastructure damage, and prioritize response efforts for rescue teams. The cluster's dated history is too thin to read a shape from—its pre-index entry count is zero, so it predates the index or its members are undated. Among the members with traction signals, disha-disaster-intelligence leads with 4 stars, while the other two have none.

Entry timeline

ENTRY TIMELINE

AUG 2026: 2SEP 2026: 1OCT 2026: 4
AUG 2026OCT 2026

Members by activity

Activity signals, not revenue.

Build origin · 7 unlabelled

Operator · 1 hobby · 6 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 7 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01disha-disaster-intelligence4★1 mo—An AI-powered disaster-response platform that analyzes satellite, drone, and street imagery to detect damage and prioritize response.
  2. 02swarmtwin0★2 days—AI-driven drone control room that assesses disaster scenes and triages victims for emergency response.
  3. 03hacktober_hackathon0★4 days—hobbySatellite-powered disaster intelligence platform that ingests live alerts and imagery, classifies infrastructure damage with AI, and surfaces dashboards for emergency responders.
  4. 04ResQ-Drone-AI0★6 days—Disaster-response platform that uses drone imagery and AI to detect emergencies and generate incident summaries for rescue teams.
  5. 05AEROVER0★7 days—Emergency search-and-rescue command platform for mission planning, sector clearance, aerial camera monitoring, and computer vision detection.
  6. 06SIH0★1 mo—Government disaster-management dashboard that analyzes drone imagery to assess flood impact, detect people, and generate official reports for authorities.
  7. 07Segmentation of Damaged Object Materials0★unknownliveAI-powered system that analyzes drone footage of war-damaged buildings to identify and map reusable materials to local stakeholders.