Volume 12, Number 11, June 2022

Brand Name: An Intelligent Mobile-based Environmental Protection Rating and Suggestion Platform using Artificial Intelligence and Text Recognition

  Authors

Ximeng Zhang¹ and Yu Sun², ¹USA, ²California State Polytechnic University, USA

  Abstract

Recycling is an essential measurement to change waste into reusable material. In the US, only about 30% of solid wastes are properly recycled, compared to other developed countries such as Northern Ireland (50.6%), Japan (50%), Schotland (46.9%), Wales (56.9%), it is much lower. However, in the US, the amount of solid waste disposal has increased in the past decade, which leads to air pollution, water pollution, soil pollution and solid waste is also a cause of many diseases. Specifically, it is noticed that many people have difficulty realizing how well they are doing in the process of recycling. Therefore, an app based on dart language is created to check how well people recycle through a scoring system and collect data from grocery receipts to see if the app can help make the consumers’ receipts full of more recyclable items. And it is hypothesized that this app can increase efficiency in recycling and promote people to encourage individuals to use more recyclable items. A clear trend in my data of scores gained from my family grocery receipt each week shows that the amount of recyclables increase as the weeks go by since the number from the app did increase. The number I get from recycling pops up in my head as I do the weekly grocery shopping with my family and reminds me to buy more recyclable items. The app is proven helpful and does increase recycling efficiency to 95%. The product, as an app, will be widely used by smartphones.

  Keywords

Environmental protection, Artificial Intelligence, NLP.