Real-Time Disaster Alert & Forecasting Apps for Emergency Preparedness
The Provincial Disaster Management Authority (PDMA) of Khyber Pakhtunkhwa partnered with AI Nova Apps to develop a suite of real-time disaster alert and forecasting applications.
- Client
- PDMA Khyber Pakhtunkhwa
- Industry
- Disaster Management
- Duration
- 9 Months
- Category
- Government
- Technologies
- 6 used
Impact at a Glance
- Alert delivery (was hours)
- Seconds
- Flood prediction accuracy
- 87%
- Better response coordination
- 60%
- Citizens registered for alerts
- 500K+
Technologies Used
- React Native
- Python
- TensorFlow
- PostgreSQL
- WebSocket
- GIS
The Challenge
KPK is highly vulnerable to natural disasters including floods, earthquakes, and landslides. The existing alert systems were slow, fragmented, and couldn't provide predictive insights. Emergency responders lacked real-time situational awareness during crisis events.
Our Solution
We developed a comprehensive disaster management suite featuring real-time weather monitoring with IoT sensor integration, AI-powered flood and landslide prediction models, multi-channel alert distribution (SMS, push notifications, sirens), interactive GIS dashboards for emergency operations centers, resource allocation and evacuation planning tools, and citizen reporting apps for damage assessment.
Key Results
Alert delivery time reduced from hours to seconds
Prediction accuracy of 87% for flood events
Emergency response coordination improved by 60%
500,000+ citizens registered for alerts