Animal Care Application in Rehabilitation and Captivity using Machine Learning for Emotion Recognition

This paper states an animal care app that uses machine learning to recognize emotions and monitor animal welfare in real-time. The app aims to help pet owners, veterinarians, and animal shelter keepers ensure animals’ safety and comfort. The paper describes the methodology used for the development and implementation and the preliminary results of the application analysis. The challenges of analyzing the emotions of animals and the ethical implications of using technology in animal care are also discussed. Finally, the application is expected to help improve the quality of life of animals in captivity or rehabilitation in the future.