Garbage Sort | Devpost

Inspiration

Inspired by SwampHacks VI, theme is sustainability. Before, we didn't know how to distinguish different types of waste. Through this hackathon we were inspired to make a web app to categorize waste.

What it does

The web app takes in an image from the user, and uses Google's vision API to distinguish what type of trash the image is.

How I built it

Nodejs was used to implement the Vision API, then used HTML5 and CSS for frontend. Google Cloud was used to deploy the app to the web.

Challenges I ran into

Using express to combine frontend and backend.

Accomplishments that I'm proud of

first time using Google Cloud and developing a web app.

What I learned

How to combine both frontend and backend and utilize Google's APIs.

What's next for Garbage Sort

Using machine learning to train custom image models to diversify classification of waste.

Built With

Submitted to

SwampHacks VI

Created by

I worked on the back-end using Nodejs. It was my first time using Google Cloud and the vision API.

Jaeyong Sin
I worked mostly on the front end, designing the HTML page using Javascript and CSS to create it.

Eddie Gibbons
I worked on the designing the user interface on the front end and I also worked on back end with node.js using Google Cloud Vision API.

Munish Tanwar
I helped design the back-end. It was my first time using Node.js and building off the Google Vision API, so it was a bit challenging.

Jackson Wu

Updates

Jaeyong Sin started this project — Feb 02, 2020 05:36 AM EST

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