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Mark Daniel Edillor
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Case study · 2024 – May 2025

Emergency Response and Disaster Management System

An AI-assisted progressive web app that helps local government units receive emergency reports, coordinate rescues and alert residents.

Role
Lead developer and presenter
Timeline
2024 – May 2025
Stack
React, Node.js, Express, MongoDB, Firebase, Tailwind CSS
The RESPO citizen app on a phone, open to its emergency help button

RESPO, the app citizens use to report emergencies

01 / 11
Recognition

Named Champion, then presented in Kuala Lumpur

Champion · May 2025Named Champion out of 1,355 research papers at the 9th SIMP-AAIRI-BCP Multidisciplinary Research Festival.
Presenter · May 2025Presented the system on stage as the official delegate of Bestlink College of the Philippines.
Delegate · Kuala Lumpur, July 2025One of six delegates who presented at the 24th Joint Multidisciplinary Research Conference.
Researcher Spotlight · AAIRI · July 2025

System Builder to Research Changemaker

Ascendens Asia International Research Institute featured Mark and the system, which LGU personnel and first responders validated before it went to Kuala Lumpur.

“Research is not only about finding something new, but finding solutions that make a genuine impact.”
Read the feature on aairi.org

Problem

During emergencies, local government units need one place to receive reports with exact locations, coordinate rescuers and warn residents quickly.

Approach

A mobile-first progressive web app lets citizens send real-time emergency reports with live location, while an AI assistant guides them through what to do next.

An admin dashboard gives responders real-time GIS tracking, rescue coordination tools and a dedicated portal for rescuers.

Disaster alerts and voice calls keep residents and responders in contact throughout an incident.

My role

I led the research, design and development, and I was chosen to present the system at the 9th SIMP-AAIRI-BCP Multidisciplinary Research Festival and, as one of six delegates, at the 24th Joint Multidisciplinary Research Conference in Kuala Lumpur.

Results

  • 1stChampion out of 1,355 research papers
  • 25%Higher public engagement during pilot testing
  • DelegatePresented at an international conference in Kuala Lumpur, July 2025
ReactNode.jsExpressMongoDBFirebaseTailwind CSS

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