diff --git a/ZeroShotDetection/detect.py b/ZeroShotDetection/detect.py
new file mode 100644
index 00000000..53e6b2e8
--- /dev/null
+++ b/ZeroShotDetection/detect.py
@@ -0,0 +1,68 @@
+import os
+from dotenv import load_dotenv
+from google import genai
+from google.genai import types
+from PIL import Image
+import supervision as sv
+
+load_dotenv()
+
+client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
+
+safety_settings = [
+    types.SafetySetting(
+        category="HARM_CATEGORY_DANGEROUS_CONTENT",
+        threshold="BLOCK_ONLY_HIGH",
+    ),
+]
+
+MODEL_NAME = "gemini-2.5-flash-preview-05-20"
+TEMPERATURE = 0.5
+
+IMAGE_PATH = "dog.jpg" #Change image and Prompt according to your need
+PROMPT = "Detect the Dog." + \
+"Output a JSON list of bounding boxes where each entry contains the 2D bounding box in the key \"box_2d\", " + \
+"and the text label in the key \"label\". Use descriptive labels."
+
+# Image and response
+image = Image.open(IMAGE_PATH)
+width, height = image.size
+target_height = int(1024 * height / width)
+resized_image = image.resize((1024, target_height), Image.Resampling.LANCZOS)
+
+response = client.models.generate_content(
+    model=MODEL_NAME,
+    contents=[PROMPT, resized_image],
+    config = types.GenerateContentConfig(
+        temperature=TEMPERATURE,
+        safety_settings=safety_settings,
+        thinking_config=types.ThinkingConfig(
+          thinking_budget=0
+        )
+    )
+)
+
+resolution_wh = image.size
+
+detections = sv.Detections.from_vlm(
+    vlm=sv.VLM.GOOGLE_GEMINI_2_5,
+    result=response.text,
+    resolution_wh=resolution_wh
+)
+
+thickness = sv.calculate_optimal_line_thickness(resolution_wh=resolution_wh)
+text_scale = sv.calculate_optimal_text_scale(resolution_wh=resolution_wh)
+
+box_annotator = sv.BoxAnnotator(thickness=thickness)
+label_annotator = sv.LabelAnnotator(
+    smart_position=True,
+    text_color=sv.Color.BLACK,
+    text_scale=text_scale,
+    text_position=sv.Position.CENTER
+)
+
+annotated = image
+for annotator in (box_annotator, label_annotator):
+    annotated = annotator.annotate(scene=annotated, detections=detections)
+
+sv.plot_image(annotated)
\ No newline at end of file
diff --git a/ZeroShotDetection/dog.jpg b/ZeroShotDetection/dog.jpg
new file mode 100644
index 00000000..37a4b96d
Binary files /dev/null and b/ZeroShotDetection/dog.jpg differ