🖼️ Image Classification using CNN

This project demonstrates how to build and train a Convolutional Neural Network (CNN) for image classification using TensorFlow/Keras. The model is designed to classify images into different categories based on their visual features.

📌 Project Overview

• Goal: Automatically classify images from a dataset (e.g., MNIST, CIFAR-10, or a custom dataset).
• Approach: Use deep learning (CNN) to learn patterns and features in images.
• Model: A custom CNN built using Keras with multiple convolutional, pooling, and dense layers.

🧰 Tech Stack

• Python 3.x
• TensorFlow / Keras
• NumPy
• Matplotlib
• Pandas (optional)
• Jupyter Notebook