Disasters are becoming more and more common around the world, making technology important to guarantee people's lives as much as possible.
One of the most modern advances of recent years is how AI is used in disaster relief. Researchers propose works based on new technologies (IoT, Cloud Computing, Blockchain, etc.) and AI concepts (Machine Learning, Natural Language Processing, etc). But these concepts are difficult to exploit in low and middle socio-demographic index (SDI) countries, especially as most disasters happen in.
We propose project called: S2S intelligent system, based on voice recognition to life-saving in disaster relief. Generally, a disaster victim is enable to access to his Smartphone and ask help, with this system, saying "help" will be enough to send automatically alerts to the nearest Emergency Operation Services (EOS).
S2S is composed of two parts: Intelligent application embedded on citizens and victims Smartphones, and S2S System for the Emergency Operation Services.

http://www.centre-univ-mila.dz/fr/index.php

• International

• People with disabilities
• The poor
• disasters victims

S2S system is designed for victims in case of disasters relief in poor and developing countries. The system is replicable in case of the disaster appears.

S2S system is designed for victims in case of disasters relief in poor and developing countries. So the system is sustainable in case of the disaster appears.

Among WISIS values, helping the others. The S2S system is designed to help victims in disasters relief. It especially concerns poor and developing countries, having limited and poor ressources and poor infrastructures.