d Recycling</h2>
      <pre><code>
    # Load new sample image for classification
    from tensorflow.keras.preprocessing import image
    
    img = image.load_img('new_plastic_sample.jpg', target_size=(150, 150))
    img_array = image.img_to_array(img)
    img_array = np.expand_dims(img_array, axis=0) / 255.0
    
    # Predict the type of plastic waste
    predicted_class = model.predict(img_array)
    predicted_label = label_encoder.inverse_transform([np.argmax(predicted_class)])
    print(f"Identified 