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https://github.com/prashantkumar7541/image-classifier

Implementation of ML model for image classification
https://github.com/prashantkumar7541/image-classifier

image-classification image-classifier jupyter-notebook python

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Implementation of ML model for image classification

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# Image Classifier

**Image Classifier** is a machine learning project that uses deep learning techniques to classify images into various categories. The model is built using **Convolutional Neural Networks (CNNs)**, a powerful architecture for image classification tasks. This project aims to predict the category of an image, such as distinguishing between different animals, objects, or scenes.

## Features

- **Image Classification**: Classify images into predefined categories.
- **Model Training**: Train a CNN model using labeled image datasets.
- **Data Augmentation**: Enhance the training dataset by augmenting images with transformations like rotation, flipping, and scaling.
- **Real-time Prediction**: Classify new images in real time using the trained model.
- **Model Evaluation**: Evaluate the performance of the model using metrics like accuracy, confusion matrix, and classification report.

## Installation

To run the Image Classifier system locally, follow these steps to set up the project on your machine.

### Prerequisites

Ensure you have the following installed:

- **Python 3.x**: A Python environment to run the project.
- **Git**: To clone the repository.

### Steps to Install

1. **Clone the repository**:

First, clone the repository to your local machine:

```bash
git clone https://github.com/prashantkumar7541/Image-Classifier.git