import cv2

# Load Haar Cascade for face detection
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")


cap = cv2.VideoCapture(0)


while True:
    ret, frame =cap.read()
    
    if not ret:
        break
    
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    
    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.3, minNeighbors=5)
    
    for (x, y, w, h) in faces:
        face_roi = frame[y:y+h, x:x+w]
        blurred_face = cv2.GaussianBlur(face_roi, (99, 99), 30)
        frame[y:y+h, x:x+w] = blurred_face
        
    cv2.imshow("Live Face Blur - Privacy Filter", frame)
    
    if cv2.waitKey(1) & 0xFF == ord("q"):
        break
    
cap.release()
cv2.destroyAllWindows()