Dog vs Cat Classifier

This project is a deep learning-based classifier that predicts whether an uploaded image contains a cat or a dog. Built with TensorFlow, Flask, and React, it allows users to upload an image and get predictions via a user-friendly interface.

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Features

• Deep Learning Model: Uses a CNN model trained on cat vs. dog images.
• Web Interface: A React-based front-end for easy interaction.
• API Integration: Flask REST API for backend prediction.
• Heroku Deployment: Deployed with CI/CD pipelines.

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Technologies Used

• Backend: Flask, TensorFlow
• Frontend: React, HTML, CSS
• Deployment: Heroku, Docker
• Version Control: GitHub Actions for CI/CD

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Installation

Prerequisites

• Python >= 3.8
• Node.js and npm
• Docker (optional for containerized deployment)
• Heroku CLI

Steps

1. Clone this repository:

   git clone https://github.com/your-username/Dog_vs_Cat_Classifier.git
   cd Dog_vs_Cat_Classifier