PET FACIAL EMOTION RECOGNITION USING CONVOLUTIONAL NEURAL NETWORKS TABLE OF CONTENTS Introduction Problem Statement Existing Proposed Result User Interface Conclusion References INTRODUCTION Pet facial emotion recognition, also known as pet facial expression analysis, resides at the convergence of computer vision and artificial intelligence, aiming to automatically identify and interpret the emotional states of animals based on their facial expressions. Recent strides in pet facial emotion classification have departed from traditional methods reliant on manual feature creation and machine learning algorithms. Instead, deep learning, particularly through neural networks, has revolutionized the field, significantly improving accuracy and efficiency. . Additionally, transfer learning, involving the adaptation and refinement of pretrained models like VGG, Res Net, Dense Net, and Mobile Net, lev...