diff --git a/main.py b/main.py
index a74422e..07467f8 100644
--- a/main.py
+++ b/main.py
@@ -2,6 +2,12 @@ from picamera2 import Picamera2
 import cv2
 import numpy as np
 import time
+import requests
+from datetime import datetime
+
+# ntfy.sh topic (choose your unique topic name)
+ntfy_topic = "K3R3wHq4w9mwcwNd"  # Replace with your ntfy.sh topic
+ntfy_url = f"https://ntfy.sh/{ntfy_topic}"
 
 # Initialize the camera
 picam2 = Picamera2()
@@ -14,6 +20,8 @@ time.sleep(2)  # Give the camera some time to initialize
 frame1 = picam2.capture_array()
 frame2 = picam2.capture_array()
 
+motion_detected = False
+
 while True:
     # Calculate the absolute difference between the two frames
     diff = cv2.absdiff(frame1, frame2)
@@ -33,13 +41,36 @@ while True:
     # Find contours (motion areas) in the dilated image
     contours, _ = cv2.findContours(dilated, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
 
-    # Draw bounding boxes around the contours
     for contour in contours:
         if cv2.contourArea(contour) < 500:
             continue
         x, y, w, h = cv2.boundingRect(contour)
         cv2.rectangle(frame1, (x, y), (x + w, y + h), (0, 255, 0), 2)
 
+        # If motion is detected and not already notified, send a notification
+        if not motion_detected:
+            current_time = datetime.now().strftime("%H:%M:%S")  # Get current time
+            message = f"Motion detected in room at {current_time}"  # Format message
+
+            print("Motion detected! Sending notification...")
+            try:
+                response = requests.post(
+                    ntfy_url,
+                    json={"message": message}  # Send only the message
+                )
+                if response.status_code == 200:
+                    print("Notification sent successfully!")
+                else:
+                    print(f"Failed to send notification. Status code: {response.status_code}")
+            except Exception as e:
+                print(f"Error sending notification: {e}")
+            
+            motion_detected = True
+
+    # If no contours are found, reset the motion_detected flag
+    if len(contours) == 0:
+        motion_detected = False
+
     # Display the result
     cv2.imshow("Motion Detection", frame1)