A multiclass classifier built to distinguish different breeds of cats
using deep neural networks and convolutional neural networks.
Ever wondered what breed your cat is? CatBreedz uses advanced deep learning to identify cat breeds from images with remarkable accuracy.
Built with convolutional neural networks (CNNs) and deep neural networks (DNNs), this classifier can distinguish between multiple cat breeds using sophisticated image recognition algorithms.
The system leverages softmax regression for multiclass classification, ensuring accurate breed identification across a diverse dataset of cat images.
Whether you have a Persian, Siamese, Maine Coon, or any other breed, CatBreedz can help you identify your feline friend with confidence.
The project demonstrates the power of machine learning in real-world applications, combining computer vision techniques with deep learning to solve practical problems.
Built with modern web technologies including TypeScript, Astro, and CSS, CatBreedz provides an intuitive interface for cat breed classification.
Perfect for cat owners, veterinarians, breeders, or anyone curious about feline genetics and breed characteristics.