Cat Dog Classification CNN Project

A developer deployed a Cat vs Dog image classification web application on Vercel. The app uses a custom PyTorch CNN for predictions and displays confidence scores, evaluation metrics, and a confusion matrix. The tech stack includes React.js for the frontend and FastAPI for the backend.

🚀 Deployed: Cat vs Dog Image Classification App on Vercel 🐶🐱 Excited to share my latest Machine Learning project—a complete end-to-end Cat vs Dog Image Classification web application Live Demo: https://cat-and-dog-classification.vercel.app https://cat-and-dog-classification.vercel.app Features -- 📤 Upload an image of a cat or dog 🧠 Deep learning prediction using a custom PyTorch CNN 📊 Displays prediction confidence 📈 Model evaluation metrics: Accuracy Precision Recall F1-Score 🔲 Confusion Matrix visualization 🎯 Responsive React frontend ⚡ FastAPI backend for inference 🛠️ Tech Stack Frontend: React.js Backend: FastAPI Machine Learning: PyTorch Deployment: Vercel Frontend This project helped me understand the complete ML deployment workflow—from training a CNN model to building an API and integrating it with a modern frontend. I'd love to hear your feedback Feel free to try it out and let me know what you think.