Space Apps Challenge 2018

The problem:

The effects of natural disasters around the world are diverse, considerably as broad as their causes. Among them, we selected hurricanes,

earthquakes, tsunamis and floods to propose a solution based on available technology in mobile devices to assist decision making in three different

moments: Before (Prevention), During (Adaptation) and After the "Event ".

Tucci (2005) warns that flooding is intensifying due to the increase in the disorderly urbanization process, without urban planning

accompanied by drainage infrastructure and adequate rainwater management.

The World Migration Report 2015 indicates that population migration to urban areas will increase from 3.9 billion people in 2015 to

6.4 billion in 2050. In view of this increase of about 64 % of the world population in urban areas, prevention in cases of natural disasters

for the preservation of human life becomes essential.

Between 1991 and 2010, $ 846 billion ($ 2.3 trillion) in catastrophes were lost. That means about $ 22 billion per semester. Only in the first

half of 2018 were lost $ 36 billion. And about 10 million people are exposed to possible risksto be predicted.

To reduce these impacts brought about by a natural disaster, we proposed a cause-and-effect analysis focusing on each of the disasters analyzed.

In this analysis we observed that about 75% of people do not know how to behave during a catastrophe. In addition, about 10% of people take actions that

increase the level of stress and consequently chaos. These data point to a lack of individual preparation and lack of knowledge. Situation as cars driven

by a flood - being parked in a place of risk given the driver's lack of knowledge about the risk, could be avoided. The financial damage in these cases

is extreme, and is increasing with increasing migration to the urban area.

Our solution:

We face the problem of natural disasters on three different fronts, Prevention (Pre-event), Adaptation (Event) and Response (Post-event). Our goal

is to assist in these phases by avoiding the loss of more lives.

Prevention:

Our solution to prevention is to keep a meteorological database using machine learn to identify areas what have more risks. And than inform and help

the people how to go through these problems.

When we detect that some tremor, storm or tornado, is about to happen, we warn the people sending a message, and we will tell them what is about to

happen, and how to prepair.

Event:

During the event, the app will tell the people when the event is gonna happen, how its gonna happen, where to go to try to avoid it how to go,

and what to take.

Post-event:

After he event, we will use the information from people who used the app when a disaster happened, and then we will update our database.