🖼️ Image Classifier using ML5.js

An interactive web application that uses ML5.js and MobileNet to classify images. The application features a modern dark theme and provides real-time image classification with confidence scores.

🌟 Features

• Real-time image classification using MobileNet
• Drag and drop file upload support
• Modern dark theme interface
• Visual confidence scores
• Responsive design
• Support for multiple image formats
• Interactive loading states

🚀 Demo

Live Demo

Input Output

🛠️ Technologies Used

• HTML5
• CSS3
• JavaScript
• ML5.js
• MobileNet Model

📦 Installation

1. Clone the repository:

git clone https://github.com/your-username/Image-Classifier-ML5.git

2. Navigate to the project directory:

cd Image-Classifier-ML5

3. Open the project:
   • Open index.html in your web browser
   • Or use a local development server:

     python -m http.server 8000

     Then visit http://localhost:8000

💻 Usage

1. Wait for the MobileNet model to load
2. Upload an image by:
   • Clicking the upload button
   • Dragging and dropping an image
3. View the classification results with confidence scores
4. Use the "Try Another Image" button to classify more images

🤝 Contributing

Contributions, issues, and feature requests are welcome! Feel free to check the issues page.

📝 License

This project is MIT licensed.

👤 Author

Your Name

• GitHub: @smaranjitghose
• LinkedIn: Smaranjit Ghose