diff --git a/app.yaml b/app.yaml
index e5fe6e9..fe4f111 100644
--- a/app.yaml
+++ b/app.yaml
@@ -5,4 +5,5 @@ ports:
 bricks:
   - arduino:web_ui
   - arduino:object_detection
+  - arduino:image_classification
 icon: 🐱
diff --git a/python/main.py b/python/main.py
index 59513c8..f032f58 100644
--- a/python/main.py
+++ b/python/main.py
@@ -1,10 +1,12 @@
 from arduino.app_utils import App, Bridge
 from arduino.app_bricks.web_ui import WebUI
 from arduino.app_bricks.object_detection import ObjectDetection
+from arduino.app_bricks.image_classification import ImageClassification
 import time
 import base64
 
 object_detection = ObjectDetection()
+image_classification = ImageClassification()
 
 
 def on_matrix_draw(_, data):
@@ -46,6 +48,28 @@ def on_set_led_rgb(_, data):
     Bridge.call("set_led_rgb", led, r_digital, g_digital, b_digital)
 
 
+def on_classify_image(client_id, data):
+    """Callback function to handle image classification requests."""
+    image_data = data.get("image")
+    if not image_data:
+        ui.send_message("classification_error", {"error": "No image data"})
+        return
+    start_time = time.time() * 1000
+    # TODO: define confidence
+    results = image_classification.classify(base64.b64decode(image_data))
+    diff = time.time() * 1000 - start_time
+
+    if results is None:
+        ui.send_message("classification_error", {"error": "No results returned"})
+        return
+
+    response = {
+        "classification": results.get("classification", []),
+        "processing_time": f"{diff:.2f} ms",
+    }
+    ui.send_message("classification_result", response)
+
+
 def on_detect_objects(client_id, data):
     """Callback function to handle object detection requests."""
     try:
@@ -80,6 +104,7 @@ def on_detect_objects(client_id, data):
 ui.on_message("matrix_draw", on_matrix_draw)
 ui.on_message("set_led_rgb", on_set_led_rgb)
 ui.on_message("detect_objects", on_detect_objects)
+ui.on_message("classify_image", on_classify_image)
 
 
 def on_modulino_button_pressed(btn):
diff --git a/scratch-arduino-extensions/packages/scratch-vm/src/extensions/arduino_image_classification/index.js b/scratch-arduino-extensions/packages/scratch-vm/src/extensions/arduino_image_classification/index.js
new file mode 100644
index 0000000..6c60ddf
--- /dev/null
+++ b/scratch-arduino-extensions/packages/scratch-vm/src/extensions/arduino_image_classification/index.js
@@ -0,0 +1,82 @@
+const BlockType = require("../../../../../../scratch-editor/packages/scratch-vm/src/extension-support/block-type");
+const ArgumentType = require(
+  "../../../../../../scratch-editor/packages/scratch-vm/src/extension-support/argument-type",
+);
+const Video = require("../../../../../../scratch-editor/packages/scratch-vm/src/io/video");
+const ArduinoUnoQ = require("../ArduinoUnoQ");
+
+// TODO add icons
+const iconURI = "";
+const menuIconURI = "";
+
+
+class ArduinoImageClassification {
+  constructor(runtime) {
+    this.runtime = runtime;
+
+    this.unoq = new ArduinoUnoQ();
+    this.unoq.connect();
+
+    this.runtime.on("PROJECT_LOADED", () => {
+      if (!this.runtime.renderer) {
+        console.log("Renderer is NOT available in runtime.");
+        return;
+      }
+    });
+
+    this.unoq.on("classification_result", (data) => {
+        if (!data || !data.classification) {
+            console.log("No classification classification received.");
+            return;
+        }
+        if (data.classification.length === 0) {
+            console.log("No objects classified.");
+            return;
+        }
+        // {'classification': [{'class_name': 'neutral', 'confidence': '45.82'}, {'class_name': 'stop', 'confidence': '54.16'}]}
+        console.log(data.classification);
+
+    });
+  }
+}
+
+ArduinoImageClassification.prototype.getInfo = function() {
+  return {
+    id: "ArduinoImageClassification",
+    name: "Arduino Image Classification",
+    menuIconURI: menuIconURI,
+    blockIconURI: iconURI,
+    blocks: [
+      {
+        opcode: "classifyImage",
+        blockType: BlockType.COMMAND,
+        text: "classify image",
+        func: "classifyImage",
+        arguments: {},
+      },
+    ],
+  };
+};
+
+ArduinoImageClassification.prototype.classifyImage = function(args) {
+  if (!this.runtime.ioDevices) {
+    console.log("No ioDevices available.");
+    return;
+  }
+this.runtime.ioDevices.video.enableVideo();
+
+  const canvas = this.runtime.ioDevices.video.getFrame({
+    format: Video.FORMAT_CANVAS,
+    dimensions: [480, 360], // the same as the stage resolution
+  });
+  if (canvas) {
+    const dataUrl = canvas.toDataURL("image/png");
+    const base64Frame = dataUrl.split(",")[1];
+    this.unoq.classifyImage(base64Frame);
+  } else {
+    console.log("No video frame available for classification.");
+  }
+}
+
+
+module.exports = ArduinoImageClassification;
diff --git a/scratch-arduino-extensions/scripts/patch-gui.js b/scratch-arduino-extensions/scripts/patch-gui.js
index 5487a7b..5cb793b 100644
--- a/scratch-arduino-extensions/scripts/patch-gui.js
+++ b/scratch-arduino-extensions/scripts/patch-gui.js
@@ -5,6 +5,7 @@ const extensions = [
   { name: "ArduinoBasics", directory: "arduino_basics" },
   { name: "ArduinoModulino", directory: "arduino_modulino" },
   { name: "ArduinoObjectDetection", directory: "arduino_object_detection" },
+  { name: "ArduinoImageClassification", directory: "arduino_image_classification" },
 ];
 
 // base dir is the 'scratch-arduino-extensions' folder