if results.multi_hand_landmarks and results.multi_handedness:
        for idx, hand_landmarks in enumerate(results.multi_hand_landmarks):
            hand_label = results.multi_handedness[idx].classification[0].label
            gesture = detect_gesture(hand_landmarks)
            mp_draw.draw_landmarks(frame, hand_landmarks, mp_hands.HAND_CONNECTIONS)
            
            fingertip_ids = [4, 8, 12, 16, 20]
            for tip_id in fingertip_ids:
                lm = hand_landmarks.landmark[tip_id]
                x, y = int(lm.x * w), int(lm.y * h)
                cv2.circle(frame, (x, y), 10, (255, 0, 255), cv2.FILLED)
                cv2.putText(frame, str(tip_id), (x - 5, y - 15), 
                           cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 0), 2)
            
            wrist = hand_landmarks.landmark[0]
            wrist_x, wrist_y = int(wrist.x * w), int(wrist.y * h)
            cv2.putText(frame, f"{hand_label} Hand", (wrist_x - 40, wrist_y + 30),
                       cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2)
    
    status_color = (0, 255, 0) if gesture in ["Open", "Closed Fist"] else (0, 165, 255)
    cv2.putText(frame, f"Gesture: {gesture}", (10, 30),
               cv2.FONT_HERSHEY_SIMPLEX, 1, status_color, 2)
 
    cv2.imshow("Hand Gesture Detection", frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
 
cap.release()
cv2.destroyAllWindows()