Supervisor

Dr Muhammad Iqbal

Programme

BSc (Hons) in Computing in IT

Subject

Computer Science

Abstract

This project is all about a deep learning-based “Dog Emotion System” that can figure out how dogs are feeling just by looking at their faces. We used a balanced set of 4,000 dog images with four different emotion categories and followed the CRISP-DM process to build it. The model was trained from scratch using a Convolutional Neural Network (CNN) without any pre-existing models. It is deployed using Steamlit, where people can upload pictures of their dogs and get their emotional state predicted in real time. The goal of this tech is to make it easier for pet owners to understand their dog's emotions using AI, which could really improve how we take care of them.

Date of Award

2025

Full Publication Date

2025

Access Rights

open access

Document Type

Poster

Resource Type

other

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