
# Image Based Classifier

A real-time image classification system that runs entirely in the browser using TensorFlow.js and MobileNet pre-trained model.

## Features

- Real-time image classification from webcam
- Support for image upload and classification
- Mobile-friendly interface
- No server-side processing required
- Custom model training capabilities
- Performance optimization for mobile devices

## Technologies Used

- TensorFlow.js
- React
- TypeScript
- WebGL acceleration
- Progressive Web App (PWA)

## Implementation Details

The application uses TensorFlow.js to load a pre-trained MobileNet model and perform real-time image classification. The model is optimized for mobile devices and can run efficiently in the browser.

### Key Components

- Model loading and initialization
- Real-time video processing
- Custom model training interface
- Results visualization
- Performance monitoring

## Live Demo

[View Live Demo](https://ml-image-classifier.example.com)

## GitHub Repository

[View Source Code](https://github.com/username/ml-image-classifier) 

<h1 id="image-based-classifier">Image Based Classifier</h1>
<p>A real-time image classification system that runs entirely in the browser using TensorFlow.js and MobileNet pre-trained model.</p>
<h2 id="features">Features</h2>
<ul>
<li>Real-time image classification from webcam</li>
<li>Support for image upload and classification</li>
<li>Mobile-friendly interface</li>
<li>No server-side processing required</li>
<li>Custom model training capabilities</li>
<li>Performance optimization for mobile devices</li>
</ul>
<h2 id="technologies-used">Technologies Used</h2>
<ul>
<li>TensorFlow.js</li>
<li>React</li>
<li>TypeScript</li>
<li>WebGL acceleration</li>
<li>Progressive Web App (PWA)</li>
</ul>
<h2 id="implementation-details">Implementation Details</h2>
<p>The application uses TensorFlow.js to load a pre-trained MobileNet model and perform real-time image classification. The model is optimized for mobile devices and can run efficiently in the browser.</p>
<h3 id="key-components">Key Components</h3>
<ul>
<li>Model loading and initialization</li>
<li>Real-time video processing</li>
<li>Custom model training interface</li>
<li>Results visualization</li>
<li>Performance monitoring</li>
</ul>
<h2 id="live-demo">Live Demo</h2>
<p><a href="https://ml-image-classifier.example.com">View Live Demo</a></p>
<h2 id="github-repository">GitHub Repository</h2>
<p><a href="https://github.com/username/ml-image-classifier">View Source Code</a></p>