Dog Emotion Detection with Neural Networks explores the realm of understanding and interpreting emotions in dogs through advanced machine learning techniques. By training on a diverse dataset of canine behavior and facial expressions, the neural network can accurately identify and categorize emotions such as joy, fear, and aggression in dogs. This project holds implications for improving human-dog interactions, assisting in animal behavior studies, and contributing to the development of AI-driven tools for pet owners and veterinarians.
Software Requirements :-
1. Operating System: Win 7 or more
2. Programming Language: Python
Hardware Requirement :-
1. Processor-i3
2. Hard disk-5GB
3. Memory-2GB RAM