iz

This research is based on predicting the earthquake using unusual animal behavior. Multiple researches have been carried out in predicting the quake using abnormality in animals but this research focuses on designing the mobile app “Early Alert Disaster Management System‟ that could predict earthquakes using crowdsourcing and ICT. ICT has evolved rapidly and it is still evolving, there are so many technological revolutions going on in this field. It has influenced the behavior of consumers, their daily lifestyle, marketing, and business activities. Besides smartphone technology which is growing exponentially, there is another concept known as “Crowdsourcing”, this concept has touched the sky in a very short time, and it is being adopted and used by almost all disciplines wherever there is a need to acquire data. Crowd-sourced enabled systems are modernizing the tactic for confronting hitches and allowing us to monitor and act upon almost anything, anywhere in real time. In EADMS, crowd-sourcing will be used in gathering the data. The gathered data will be analyzed and based on this analysis, certain statistics will be generated. Once the statistics meet the threshold level, different alerts will be sent to the registered users, and on the sending of the last alert, the shortest route to the safest location will also be sent to the registered user so that they can evacuate the place to be affected. Besides that, EADMS also allows its registered users to transmit messages to other people who are not registered with the system. We have used the Girls Gossip model to transmit the information so that our app can alert as many people as possible.

Keywords: Intelligent Systems, Crowd-Sourcing, ICT, Earthquake, Seismic Activity.