AquaAlert

The aim of our app is to notify users about upcoming flash floods near them (focusing on Italy), providing resources such as the danger level, safest routes to nearest shelters with location tracking.

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Categories

  • Challenge #2: Space-enabled crisis response and civil resilience

Description

💎 Idea

AquaAlert is a smart flash flood warning and safety system. Designed to predict, monitor, and provide early warnings about possible flash flood risk across Italy. Its main purpose is to help the users stay informed, prepared by providing information about nearest shelter, route to safety and possible danger zone locations.

Furthermore, flash floods are very rapid and dangerous disaster the data will be provided to user in a simple form and as fast as possible. Since during the emergencies there might occur network interruption in a form of: lack of signal or wi-fi, the app is designed to support user even then thanks to navigation-based system using connection to GNSS and all accessible technologies.

Main goals and features:

  • alerting users about possible danger,
  • showing best route to safety based on current location,
  • work in any circumstances that might occur during a disaster,
  • nearest shelter information,
  • danger zone notifications,
  • day-to-day analysis of possible flash flood risks.

🛰️ EU space technologies

We intend to use data and information that will highlight areas with a history of flooding, high rates of precipitation, and proximity to bodies of water to help use identify locations with higher chances of flooding.

We will use the Copernicus Emergency Management System for Flood Monitoring and Forecasting to aquire useful images to help us determine places most vulnerable to flooding and determine safe areas.

We will also use Galileo, Europe's GNSS, to track user positioning in order to give customised safety routes and alert them of possible dangers.


  EU Space for Water

We choose challenge 2.


🤼 Team

We are a team of 3 Computer Science and Software Engineering 2nd year students with interest in GNSS and how it possibly could benefit early alert system as well as long term data analysis.


Our team:

Zofia-Kro -> team leader, coder

ZofiaK123 -> data analysist, coder

Ilaria333-> designer, coder