Messaging Application with Image Recognition and Classification Using Machine Learning

Abstract

This study applies machine learning to messaging applications by using convolutional neural networks (CNNs) for image recognition and classification. With more and more photographs being exchanged in communications, efficient image processing has become crucial. To improve content management and user experience, also provides an automated technique for categorizing and evaluating photos that are received in messages. The study provides a detailed description of the architecture, implementation, and evaluation of the proposedsystem, highlighting its efficacious ability to detect photographs and enhance messaging applications in the era of visual communication.