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Case Study

MyEcoReporter

AI-powered environmental monitoring and disaster response — built with Texas A&M, published in peer-reviewed research.

📋 Overview

MyEcoReporter is an AI-powered tool for disaster response and environmental hazard monitoring. It helps communities report environmental incidents and helps researchers analyze exposure data in real-time. Built in collaboration with Texas A&M University's Superfund Research Center, the project bridges the gap between affected communities and the researchers trying to help them.


💡 Context

Environmental disasters — chemical spills, industrial accidents, flooding — require rapid information gathering. Affected communities often lack tools to report what they're experiencing, and researchers struggle to get ground-truth data quickly. MyEcoReporter was designed to solve both problems: give communities an easy way to report hazards and give researchers structured, analyzable data in real-time.


🛠 Tech Stack

AI / Machine Learning GIS / Geospatial Web Application Data Analytics Environmental Science Mobile-First Design

🎯 Role

Built as a proof of concept for TAMU. Managed two of their grad students who helped build and test it. Work contributed to published research in the Journal of Exposure Science & Environmental Epidemiology (Chiu et al., 2025).


Key Highlights


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