Capture
The user takes or uploads a clear photograph of one waste item.
STUDENT ENVIRONMENT PROJECT
Where should this waste go?
Take a photo. EcoSort will suggest a waste category and explain the safest next step.
5main categories
5quiz questions
1cleaner planet
Before you bin it: Empty liquids, remove food residue and keep hazardous items separate.
Loading AI model…
ON-DEVICE AI
Place one item in view
Use a clear, well-lit background for the best result.
Recognition runs on this device. The first AI model load needs internet access.
QUICK DEMO
Try a sample item
Useful when camera access is unavailable during a presentation.
♻️
AI suggestion · 91% match
SCAN RESULT
Plastic bottle
Plastic
USE THE YELLOW BINPlasticYellow — Plastic bin
What to do
Prototype result: Always follow your local council's waste collection rules.
WASTE GUIDE
Sort smarter, waste less.
Tap a category to learn what belongs there and what to do before disposal.
5-QUESTION CHALLENGE
How well can you sort?
Score 0/5
Question 1 of 5
🍌
Where should a banana peel go?
THE SCHOOL PROJECT
Technology for a cleaner community.
EcoSort AI is an educational prototype that explores how image recognition can help people separate waste correctly.
Classify
An image recognition system predicts the material and waste category.
Guide
The app gives a simple disposal instruction and a learning fact.
PROJECT BY
Poornimah Anuraj
Gateway College · Colombo
About this first version
The camera, image upload, on-device image recognition, five-colour waste guide and quiz are functional. The model identifies common objects without uploading the photograph. A future public version can use a waste-specific trained model, local recycling rules and nearby collection points.