IngemoAlert: Meteorological Risk Intelligence

Description: An automated cross-platform system that monitors 22 strategic zones across 7 regions. By processing real-time NOAA/GFS predictive models, IngemoAlert translates complex weather variables into binary operational alerts (Safe/Critical), allowing grid operators to anticipate service disruptions.

The Challenge Electrical distribution networks are highly vulnerable to rapid climate changes. Operators needed a centralized, real-time mechanism to anticipate risks across 22 communes in 7 different regions, replacing manual forecasts with a unified source of truth.

The Solution We engineered a cross-platform ecosystem (Web & Mobile) that acts as a predictive radar for grid operations.

Versión movil

• Predictive Modeling: The system integrates the Open-Meteo API, leveraging NOAA data and the GFS (Global Forecast System) model to analyze critical variables: temperature, humidity, precipitation, and wind speeds.

• Automated Decision Logic: Instead of showing raw data, the app processes inputs daily to generate actionable status signals—Alert (Red) or Normal (Green)—based on custom thresholds for electrical infrastructure.

• Intuitive Interface: Designed for rapid decision-making, the UI offers a streamlined hierarchy: Secure Login → Regional Overview → Granular Detail View.

Tech Stack & Velocity Built for speed and reliability using our agile methodology:

• Frontend/Backend: FlutterFlow (for rapid cross-platform deployment).

• Data Engine: Open-Meteo API (NOAA/GFS integration).

• Infrastructure: Firebase (Real-time database & Authentication