Emotion Detection In Animal Vocalization Using Machine Learning Techniques

Authors: Ms. Vaishnavi Tandel, Ms. Malvika Thakur, Ms. Payal Nirmal, Mrs. Akanksha Patil

Abstract: An innovative AI powered web application which offers pet owners valuable insights into their animals’ emotional well-being and decodes pet emotions through audio analysis. The system processes audio recordings to classify emotions into categories such as happy, sad, anxious and fearful using advanced machine learning models, and also tracks behavioral patterns over time. An intelligent health agent identifies possible health problems or behavioral issues, offering personalized advice. This is based on a pet's breed, age, and gender. It works for both dogs and cats, and includes secure user management and profiles specific to each breed.This enhances pet- owner bonding and enables early intervention for medical or behavioral problems, thus reducing the gap between human understanding and animal communication.