EcoScore

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Inspiration

I realized that people waste money and make the world dirtier everyday, by just buying non-eco-friendly products from Amazon, and other online services. This is why I build EcoScore

What it does

EcoScore is a website that uses machine learning and web scraping to give the user and EcoScore of a product. The user inputs a amazon product link, and the program scrapes through all reviews of the product, and provides an EcoScore for how EcoFriendly the product is to the user.

The user also receives info on every review and their score of the product.

How I built it

This website was built with the Vite React build tool, which is a javascript framework.

The web scraping was done with a javascript client, and is run on a build javascript server.

The Machine Learning Model was the roberta-base-sentiment model from Hugging Face, trained by 50mil+ twitter tweets, which reviews every review from the product and outputs the score.

The front end was done with React, TailwindCSS, and the shadcn ui library. The components allowed a visually appealing app, and the react javascript terminology allowed collaboration with Web scraping, Machine learning, and Website front end UI.

Future steps

In the future, EcoScore can be much bigger, with custom data sets and machine learning models, previous products menus, improved visual appeal, and much more.

Together, we can make EcoScore something big, and it all starts here.

Built With

• apify
• hugging-face
• javascript
• machine-learning
• react
• roberta
• shadcn
• tailwindcss
• vite