Pet Disease Detection is a deep learning project using PyTorch and MobileNetV2 to classify pet diseases from images. It includes a Streamlit web app for real-time predictions. Users can upload pet images and receive instant disease classification, making it useful for veterinary assistance and AI-based healthcare solutions.

Multi-agent AI system for veterinary text analysis using synthetic data. Fine-tuned VetBERT classifies pet owner notes, Qdrant retrieves relevant cases, and T5 explains clinical terms and assists with appointment scheduling. Built with Flask API and managed on Hugging Face.

AI Pet Classifier: Instantly identify cats vs. dogs using deep learning. Upload any image for accurate classification with confidence scores. Built with Streamlit and TensorFlow, featuring a modern UI and detailed prediction insights.

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The **AI Image Classifier** is a robust machine learning tool designed to automate the classification of pet images using state-of-the-art Convolutional Neural Networks (CNNs)

A deep learning project that classifies pet faces (cats and dogs) using convolutional neural networks (CNNs) in Python, demonstrating image recognition and AI model deployment.

AI-powered email automation prototype that classifies customer intent, extracts booking details, and generates human-in-the-loop draft replies for a pet resort using n8n, OpenAI, and Gmail.

Welcome to the Cat vs Dog Image Classifier project! This project utilizes Support Vector Machines (SVMs) to distinguish between images of cats and dogs. Whether you're a machine learning enthusiast or just a pet lover, this project showcases the magic behind AI-driven image classification.

This project is part of the Udacity Nano degree on AI programming with Python. The purpose is to demonstrate using python to classify pet images on a retrained model. Chosen models are resnet, vgg and alexnet

A powerful deep learning model that classifies 120 dog breeds using the Stanford Dogs Dataset. This project combines image processing, transfer learning, and optimized architectures, making it a perfect tool for researchers, pet enthusiasts, and AI developers.

This small project includes a binary classification(classifying photos of my dog and my cat) and labeling them-Kobe(dog) vs Chilli(cat). I've developed an interest in computer vision while participating on a 6 months course of programming AI. I wanted to make a small application for my project so I've actually been learning Flask, Jinja and Werkzeug throughout this project. Firstly, I've made a small neural network myself but since I didn't get good results, I've used a pretrained network. Here, I've worked with: Tensorflow, Matplotlib, Numpy, Open CV. I've tried pretrained networks such as: ResNet50, Inceptionv3, VGG16, but I've had best results with VGG19 with weights from ImageNet. Optimizers I've tried: Adam, SGD with Momentum, RMSProp, but I've chosen Adadelta due to the best results after training. Loss function is Categorical CrossEntropy. Test accuracy: 78.18182110786438 This project would've worked better if I had had more photos of my pets, therefore there is a place for improvement since my cat is not recognized as cat all the time.

Pet Classifier using Fast AI for Oxford Pets Dataset

Udacty AI project Pet Image Classifier

classify pets using ai

🐶🐱 Cats vs Dogs - El Clasificador Definitivo 🧠 ¿Gato elegante o perro travieso? ¡Esta IA lo descubre! 🧐 Con TensorFlow y Flask, entrena un modelo, usa la API y clasifica imágenes. 📌 🐱 – “Me sirven comida, soy un dios.” 📌 🐶 – “Me dan comida, ellos son dioses.” 🔥 ¡Pruébalo y únete a la guerra felina-canina! 🚀🐾

Pet Breed Classifier using Fast.ai and Gradio

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This repo has followed the FastAI 2022 course delivered by Jeremy Howard.

A machine learning-based pet image classification system that processes images, extracts labels, and applies deep learning classifiers to identify pet breeds and species.

Use of a Pre-trained Image Classifier to Identify Dog Breed (Using ResNet, AlexNet and VGG)

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AI model trained to predict dog and cat breeds from pictures

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AI-powered pet breed classifier with intelligent recommendations and compatibility quiz

AI-powered Cat vs Dog image classifier using TensorFlow (CNN) and Streamlit. Upload JPG, PNG, or WEBP images to get real-time predictions with confidence scores on a sleek, dark-themed dashboard. Perfect for demos, LinkedIn, and portfolio projects.

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AI model that can classify different images of pets.

AI Programming with Python - Pet Image Classifier using CNN models (VGG, ResNet, AlexNet)

Pets Classifier with 46 different classes