PROJECT 07
DISASTERRES-NET
Deep learning model utilizing ResNet architecture for disaster detection and response.
Technologies
PythonDeep LearningResNetComputer Vision
Links
01 — The Problem
"During a natural disaster, every second counts. Manual review of satellite imagery is too slow, so we trained a ResNet model to automate it."
02 — Overview
DisasterRes-Net is an AI-driven project focused on disaster response and management. Utilizing advanced deep learning techniques, specifically the ResNet architecture, the system is designed to analyze imagery and data to detect and assess natural disasters in real-time, aiding emergency services in coordinating faster and more effective responses.
03 — Drawbacks & Future Scope
Future plans involve plugging into live drone feeds, taking disaster response times from a slow walk to a full sprint when every second counts.
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