WasteWizard vs BinBud

The amount of trash, whether in the oceans, forests, or urban areas, has grown significantly. In several states in the U.S., such as California, recycling efforts have proven inefficient due to the scarcity of recycling centers, exacerbated by the ending of shipments of recycling material from the United States to other countries. As a result, a surplus of waste has accumulated, worsening the environmental crisis. WasteWizard aims to decrease environmental pollution as well as waste mismanagement and save wildlife both on land and in water (by decreasing ocean and land pollution). The app classifies various different types of trash, including plastics, electronic waste, batteries, metals, and biological waste, from the iPhone camera or photo library. It leverages computer vision and machine learning to inform users how to dispose of a specific piece of trash. In addition to this, WasteWizard also gives users a map of nearby waste disposal facilities.

BinBud is an app designed to help users quickly and accurately identify different types of waste using a local VGG16 Keras model. The app classifies 14 distinct categories of trash based on a photo and provides a confidence score alongside the predicted type of waste. This allows users to make informed decisions about whether to recycle, compost, or dispose of items in the trash. We actively seek feedback to enhance the app, and we welcome all users to join our Discord community for suggestions, criticism, or general discussion about future updates.