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AI for Good Innovate for Impact
Use Case 23: AI-Powered Chatbot for Disaster Response Change 4.2-Climate
Organization: Ethiopian Red Cross, Ethiopian Meteorological Institute
Country: Ethiopia
Contact Person(s):
Primary: Thomas Birhanu Aklilu
1 Use Case Summary Table
Item Details
Category Climate Change/Natural Disaster
Problem Addressed In disaster scenarios, communication systems often break down,
limiting access to life-saving information and support.
Key Aspects of Solution - AI-powered multilingual chatbot
- Real-time geospatial routing
- NLP for crisis reporting and mental health support
- Integration with emergency response systems
Technology Keywords NLP, Geospatial AI, Emergency Response, Crisis Chatbot, Multilin-
gual AI
Data Availability Yes – combination of private and public data
Metadata (Type of Data) Location data, Shelter info, Psychological support resources, Missing
persons reports
Model Training and Localized NLP model training, fine-tuning with domain experts, real-
Fine-Tuning time routing optimization
Testbeds or Pilot Deploy- Planned pilot with Ethiopian Red Cross and NGOs
ments
2 Use Case Description
2�1 Description
Disasters such as floods and earthquakes can lead to widespread chaos and collapse of
traditional communication infrastructures. To address this, the AI-powered disaster response
chatbot provides real-time, multilingual, and location-based assistance to individuals and
emergency personnel.
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