Meet the team

Piyatida Luangon — the founder behind EcoBin.

A builder who turned a familiar market-day problem — where does the used oil go? — into an AI-powered recycling system, now a global category winner at the MIT Global Appathon 2026.

Piyatida (Nan) Luangon

Piyatida "Nan" Luangon

Founder

Piyatida Luangon is the founder of EcoBin, an AI-powered smart recycling bin that collects used cooking oil to be recycled into biodiesel. Here's her story:

My interest in oil pollution started in seventh-grade science, when I first learned about oil spills and their effects on the environment. In ninth grade, I explored the topic further for my Biology I research project where I studied oil spills and the microorganisms that can help break them down.

Through my research, I learned that there are services in Thailand that collect used cooking oil and recycle it into biodiesel and other fuels. That made me think about 18 Court Market, a market next to my house that I have been visiting with my mom since I was little.

Growing up, I often saw vendors pour their used cooking oil down the drain or onto the soil. I had seen it so many times that I never really questioned it. But once I learned that used cooking oil could actually be recycled, I started wondering: Why wasn't that happening at the market?

I began talking to the vendors and learned that many of them produced small amounts of used oil, making it difficult or inconvenient to use existing collection services. I realized that the problem wasn't that people didn't care. There simply wasn't an easy and accessible way for them to recycle their oil.

That was what led me to start EcoBin in ninth grade. I wanted to create a system that made collecting and recycling used cooking oil easier for local markets and communities.

AI & Machine Learning Hardware Product
EcoBin logo

"We kept hearing the same story at market after market — vendors pouring small amounts of used oil down the drain because there was nowhere convenient to take it. EcoBin exists to make the right choice the easy choice, one bin at a time."

Our journey

From market research to an MIT global winner.

Research

Talking to the people who'd actually use it

Interviewed local food vendors, small restaurants, and households at markets across Bangkok and Nonthaburi to understand how used cooking oil is really being handled.

Build

Training the AI and building the kiosk

Curated a 1,162-image dataset, trained a YOLOv11-cls classification model to 99.64% accuracy, and built a working prototype around a Raspberry Pi 5, camera, and water pump.

Aug 2025

National Software Competition — Semi-Finalist

Advanced through three rounds with NSTDA, Thailand's national science and technology agency, and received a $300 development grant to keep building.

Nov 2025

AI Innovator Award 2025 — Finalist

Presented EcoBin at CMKL University's AI Innovation Summit and Sustainability Expo, alongside a working app and LINE Official Account, and received a scholarship offer through mentor recognition.

May 2026

MIT Global Appathon — Youth Team Category Winner

Won the Youth Team Category against 2,146 teams from 141 countries and presented EcoBin at the MIT App Inventor Global Education Summit.

What's next

Pilot, retrain, and scale

Deploying pilot bins to collect real-world data, retraining the model with active learning, then rolling out EcoBin v2 more broadly.

Want to get involved?

We'd love to hear from you.

Whether you're a market, a recycling partner, or just curious about EcoBin — try the app or reach out to the team.