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Community Flood Warning System

Innovative solutions for real-time flood risk management and community safety.

Innovative Flood Warning Solutions

We develop community-level flood warning systems using advanced data analysis and AI to enhance safety and preparedness against flooding events.

A river flows through an urban area, with trees and residential houses on the banks. The water level appears high, suggesting possible flooding. In the background, there are several multi-story apartment buildings and a partially cloudy sky.
A river flows through an urban area, with trees and residential houses on the banks. The water level appears high, suggesting possible flooding. In the background, there are several multi-story apartment buildings and a partially cloudy sky.
A road submerged under floodwater with a warning sign indicating 'Water Over Road' in the center. Surrounding the road are utility poles and trees, with a line of fencing and greenery extending into the distance.
A road submerged under floodwater with a warning sign indicating 'Water Over Road' in the center. Surrounding the road are utility poles and trees, with a line of fencing and greenery extending into the distance.

Our Mission Statement

Our mission is to create effective flood warning systems that integrate real-time data and AI predictions for community resilience and safety.

A large, industrial-looking flood barrier stretches across the water with overcast skies looming above. The barrier features substantial yellow metal beams with a weathered appearance. Numerous streetlights line the barrier, and calm water extends into the distance with a green landscape visible on the horizon.
A large, industrial-looking flood barrier stretches across the water with overcast skies looming above. The barrier features substantial yellow metal beams with a weathered appearance. Numerous streetlights line the barrier, and calm water extends into the distance with a green landscape visible on the horizon.

Model Development

Utilize GPT-4 to analyze data, simulate flood scenarios, and predict community-level flood risks.

A flooded residential area with water covering the street and reaching up to the garages of brick-faced houses. Sandbags are placed in front of the doors to block water entry. Trees and shrubs are visible drenched in water, and the sky appears overcast, indicating ongoing or recent heavy rainfall.
A flooded residential area with water covering the street and reaching up to the garages of brick-faced houses. Sandbags are placed in front of the doors to block water entry. Trees and shrubs are visible drenched in water, and the sky appears overcast, indicating ongoing or recent heavy rainfall.

Data Collection

Gathering historical and real-time data on rainfall patterns and flood incidents.

A person stands in floodwater in front of dilapidated houses with clothes hanging to dry. The water reaches up to the doorsteps, and there is a collection of household items visible. Another person is sitting inside the doorway of one of the houses.
A person stands in floodwater in front of dilapidated houses with clothes hanging to dry. The water reaches up to the doorsteps, and there is a collection of household items visible. Another person is sitting inside the doorway of one of the houses.

Model Development

Utilizing GPT-4 to analyze data and predict community-level flood risks.

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ThisresearchwilladvanceourunderstandingofhowAIcanbeappliedtodisaster

managementandurbanplanning,particularlyinmitigatingfloodrisks.Bydeveloping

arobustcommunity-levelearlywarningsystem,thestudywillcontributetoreducing

flood-relateddamages,enhancingpublicsafety,andfosteringresilienturban

development.Additionally,itwilldemonstratethepotentialoffine-tunedAImodels

likeGPT-4toaddressreal-worldchallenges,highlightingtheirsocietalimpactin

promotingsustainableanddisaster-resilientcommunities.Thefindingswillalso

provideinsightsintothelimitationsandfuturedirectionsofAIindisasterprediction

andmanagement.