ProjectLIGTAS - Flood Risk Prediction & Disaster Intelligence Platform

Flood risk prediction and disaster intelligence platform for Filipino communities with AI-powered risk scoring.

Client
DevWithZach (Self-Initiated)
Completed
Feb 2025
Duration
2 months

Project Overview

ProjectLIGTAS is a self-initiated civic technology platform providing hyperlocal flood risk visibility, barangay-level disaster intelligence, route-aware commute monitoring, and AI-assisted predictive scoring for Filipino communities.

The platform features the AGOS Flood Risk Dashboard which aggregates weather data, terrain analysis, and historical flood patterns to generate predictive alerts at the barangay level. Citizens can submit real-time emergency and flood reports with geolocation and photos, building a live picture of conditions on the ground.

The system includes real-time monitoring dashboards, train status tracking for commuters affected by weather events, and an AI Risk Assistant powered by OpenAI that provides conversational risk assessment and personalized disaster preparedness guidance.

ProjectLIGTAS covers 7,000+ barangays nationwide and is designed to help local government units, disaster risk reduction offices, and Filipino communities make data-driven decisions during weather emergencies.

Technologies Used

PHP CodeIgniter MySQL JavaScript jQuery Bootstrap OpenAI API Weather API Geolocation API HTML5/CSS3 AJAX Responsive Design

Key Features

  • AGOS hyperlocal flood risk dashboard with AI-powered risk scoring Emergency report submission with geolocation and photo uploads Crowdsourced flood reporting with water level estimates Real-time monitoring dashboard aggregating multiple data sources Train status tracking for weather-affected commute routes AI Risk Assistant with conversational risk assessment Barangay-level disaster intelligence for 7
  • 000+ areas Weather API integration for predictive alerts

Results Achieved

  • Delivered a nationwide flood risk prediction platform covering 7
  • 000+ barangays Enabled real-time crowdsourced emergency and flood reporting Provided AI-powered disaster preparedness guidance to communities Integrated train status tracking for weather-affected commuters Established a civic tech model for disaster risk reduction in the Philippines