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FloodGuard AI: Building a Smarter Flood Risk Awareness Platform for India

FloodGuard AI: Building a Smarter Flood Risk Awareness Platform for India

FloodGuard AI is a flood awareness platform designed to help people across India understand weather conditions and potential flood risks. Users can search for locations to view weather information, rainfall forecasts, estimated risk levels, and available official alerts in one dashboard. It supports citizens, farmers, commuters, and local communities with accessible information and safety guidance to improve flood preparedness. Risk estimates do not replace official government warnings.

FloodGuard AI: Building a Smarter Flood Risk Awareness Platform for India

Flooding can affect lives, homes, agriculture, and transportation. Access to understandable weather information and timely warnings can help communities prepare for potential risks.

The Problem

People often need to check multiple sources to understand local weather conditions and potential flood risks. This can make flood awareness and preparedness more difficult.

Our Solution: FloodGuard AI

FloodGuard AI is a web-based platform designed to help people across India explore location-based weather information and understand potential flood risks through a single dashboard.
Key features include:
  • Location search across India
  • Weather and rainfall information
  • Forecast visualization
  • Estimated flood-risk analysis
  • Available official warnings and safety guidance

Technology and AWS

The project uses a React-based web application and weather data integration to present information through an accessible dashboard.
AWS services can support future deployment and scaling. AWS integration should be described according to the services actually implemented in the project.

Our Vision

Our goal is to make flood-related information easier to understand and help citizens, farmers, commuters, and communities improve their preparedness.
FloodGuard AI is a developing project. Its estimated risk levels are informational and do not replace official warnings or instructions from disaster-management authorities.

What's Next?

We aim to improve risk analysis, validate estimates against historical flood events, and explore reliable integrations with official warning sources.
Building FloodGuard AI has reinforced an important lesson: technology for disaster awareness must prioritize trustworthy data, transparency, and user safety.
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