Image Recognition of E-Waste Products and Predicting Price

Abstract- This study focuses on the analysis and generation of relevant information from a vast amount of data, particularly in the area of image recognition of e-waste products. The main goal is to use the available dataset, which contains images of different types of e-waste products, and employ the MobileNet algorithm in convolutional neural networks to effectively analyse the data. The research aims to highlight the importance of this process and its potential impact.