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Ecosnap

Ecosnap is a web app that predicts a plastic item’s resin code from a photo and provides recycling advice tailored to the user’s location. It also offers item search and a recycled-item tracker.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Ecosnap — OpenViST project profile in Image & Video AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Ecosnap when you have a plastic code to photograph, need disposal guidance for an item, or want to consult advice for a chosen location.

Who it is for

  • People seeking disposal guidance for plastic items.
  • Developers exploring or deploying an image-based plastic-code recycling app.

Documented uses

  • Identify a plastic resin code from a photo.
  • Find disposal guidance for a specific item.
  • Adjust the location setting to receive tailored recycling advice.
  • Keep track of plastic items recycled.
Before you choose

Requirements & limits

The project README describes the hosted app as free to use without signing in. It also documents a Vercel deployment option.

  • The image model is trained to recognize seven plastic resin codes, not arbitrary objects.
  • Predictions run client-side using TensorFlow.js and a Web Worker, according to the project documentation.
  • A self-hosted deployment requires an absolute NEXT_PUBLIC_MODEL_URL and the model’s shard files alongside model.json.
  • The documentation says the feedback interface was not connected to a backend.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Prepare a model URL for a Vercel deployment

Configure a hosted model location for an Ecosnap deployment.

Before you start

  • The Ecosnap public repository
  • A hosted model.json file and its associated shard files
  • An absolute URL for the hosted model.json

Steps

  1. Deploy the repository to Vercel using its documented deployment option.

  2. Host model.json and its shard files together at an accessible location.

  3. Set NEXT_PUBLIC_MODEL_URL in the .env file to the absolute model.json URL.

Expected outcome

The deployment configuration points Ecosnap to the hosted model files.

Guide limitations

  • The instructions cover deployment configuration, not verification that a deployment or prediction succeeds.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
15 October 2026
Original website title
alyssaxuu/ecosnap · Official homepage title · retained in its source language
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