International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 03 | Mar 2025
p-ISSN: 2395-0072
www.irjet.net
PET BREED AND HEALTH IDENTIFIER K Aravindh Reddy, P Kranthi Kiran, P. Koushik, Dr. G. Ganapathi Rao 1B-Tech 4th year, Dept. of CSE(DS), Institute of Aeronautical Engineering 2B-Tech 4th year, Dept. of CSE(DS), Institute of Aeronautical Engineering 3B-Tech 4th year, Dept. of CSE(DS), Institute of Aeronautical Engineering
4 Assistant Professor, Dept. of CSE(DS), Institute of Aeronautical Engineering, Telangana, India
---------------------------------------------------------------------***--------------------------------------------------------------------breed animals. By examining specific visual traits such Abstract - Deep learning, a key aspect of machine learning as coat color, size, shape, and facial features, the application provides precise breed identification within seconds.
and artificial intelligence, has become an essential technology in the era of the Fourth Industrial Revolution. Built upon artificial neural networks, deep learning finds application across multiple fields including healthcare, image recognition, natural language processing, and cybersecurity. Despite its power, building effective deep learning models is often challenging due to the evolving nature of real-world problems and data. Furthermore, the lack of transparency in some models causes them to be perceived as "black boxes," which can impede their broader adoption. One area of particular interest is the effect of occlusions, such as those caused by hands, pillows, blankets, or shadows, on pet classification accuracy. Previous research has primarily focused on aspects like pose, breed identification, and scene variations but has largely overlooked occlusion challenges in pet classification. This project seeks to enhance deep learning models for pet classification by leveraging data augmentation, transfer learning, and fine-tuning. Using two independent datasets containing both occluded and non-occluded images of cats and dogs, the project aims to evaluate the proposed models. The study investigates the impact of transfer learning on the classification performance of cats and dogs using a finetuned Convolutional Neural Network (CNN).
Health Assessment:: In addition to breed recognition, the application also focuses on detecting physical abnormalities and common health concerns linked to certain breeds. For example, it may identify skin issues, irregular weight, or posture that could signal underlying health conditions. This feature gives pet owners the ability to detect possible health issues early, enabling timely visits to the veterinarian
Personalized Care Recommendations: Based on the identified breed and any potential health issues detected, the application provides tailored care suggestions. These recommendations can include dietary guidance, exercise routines, grooming advice, and preventive healthcare measures, all customized to suit the pet’s specific needs.
1.INTRODUCTION The Pet Breed and Health Identifier is an advanced application that aims to transform the way pet owners and veterinarians manage pet care. As pet ownership becomes increasingly popular and the diversity of breeds expands, correctly identifying a pet’s breed, particularly in mixedbreed animals, can be a difficult task Moreover, early detection of potential health issues is critical to maintaining a pet’s overall well-being deep learning algorithms in combination with a user-friendly interface to deliver a complete solution for both breed identification and health assessment.
Fig. 1. Deep Learning: To build a dog detector and breed classifier using CNN
Data Privacy and Security: The application takes data privacy seriously, ensuring that all uploaded images and associated information are securely processed and stored. Users can be confident that their data is handled with the utmost confidentiality.
User-Friendly Interface: Designed for ease of use, the application features a straightforward, intuitive interface that allows users to upload images, obtain results, and receive care recommendations without
Understanding the Magnitude of Insider Threats
Breed Identification: The application's main function is its ability to accurately determine the breed of a pet through image analysis. The deep learning model is trained on a comprehensive dataset of pet images, covering a wide variety of both purebred and mixed-
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