EventsThe 9th International Electronic Conference on Water Sciences
Published
This submission belongs to the session S7. Remote Sensing, Artificial Intelligence and New Technologies in Water Sciences of the event The 9th International Electronic Conference on Water Sciences
Published date
06 Nov, 2025
Academic Editor
author-avatarNikiforos Samarinas
Citation
Ioan Florin Voicu, Daniel Constantin Diaconu, A Romanian-language local AI voice alert system for flood preparedness and mitigation, in Proceedings of The 9th International Electronic Conference on Water Sciences, 11 November–14 November 2025, MDPI: Basel, Switzerland
Share
Email
Facebook
Twitter
LinkedIn

A Romanian-language local AI voice alert system for flood preparedness and mitigation

image
1. Interdisciplinary School of Doctoral Studies (ISDS), University of Bucharest, Bucharest, 031216, Romania, Romania
2. Interdisciplinary Center for Advanced Studies (CISA), Research Institute of University of Bucharest, Bucharest 031216, Romania, Romania
Abstract

AI allows technological systems to perceive the environment in which they operate, process those perceptions and resolve issues, acting in order to reach a preset objective.

This research aims to show that a non-cloud AI voice assistant in a non-major language can fulfill more customizable functions than typical Big Tech AI solutions, such as enabling a context-sensitive voice alert system in case of a disaster, such as a flood.

The system receives data (already prepared or collected through its own sensor network), processes them and reacts.

A case study was conducted, in which a local instance of a Home Assistant server was connected to flood sensors, presence sensors, cameras and two-way voice systems with a local AI backend, which could work together to identify whether people were present in a certain area, deliver a warning to them in Romanian and notify relevant authorities of their presence.

The system of presence sensors and cameras correctly identified that movement in an area was due to the presence of people, counted them, warned them of an impending flood and sent its findings to a notification system that could be accessed by authorities.

Using affordable, off-the-shelf hardware and open-source software, it is now possible to create a customized disaster alerting system for essentially any language, which can automatically function both as a warning for potentially affected people and a notification for authorities of the scale of the problem.

Keywords
AI
voice assistant
IoT
flood mitigation
Poster
Florin Poster.pdf
Monitoring Glacier Elevation Change in Central Asia Using TanDEM-X DEMs
LiDAR-Based Gully Detection and Bare-Earth Modelling in Australian Rangelands