diff --git a/Laundry_Alert.py b/Laundry_Alert.py
index 512f42c..390d67c 100755
--- a/Laundry_Alert.py
+++ b/Laundry_Alert.py
@@ -7,6 +7,8 @@ import sys
 def main():
 	settings.configure()
 	
+	# Setting Variable Defaults
+    # Some of these should be available as cmd line options
 	webpage = "/var/www/python.html"
 	threshold = "30"
 	avgnoise = 0	
@@ -14,41 +16,61 @@ def main():
 	fromaddress = "laundry@rickelobe.com"
 	toaddress = "7173421272@message.ting.com"	
 
+	# Setting up Raspberry Pi GPIO pins
 	GPIO.setmode(GPIO.BCM)
 	GPIO.setup(23, GPIO.IN)	
 	
+	# Loop Forever!
 	while 1:
 	
+		# Setting variable defaults prior to gathering noise samples from Microphone
 		samples = 0
 		noise_sample = []
 		normalized_noise = 0				
 
+		# Gather 3 sets of 60 samples, 1 sample every 500ms from microphone
 		while int(samples) <= 2:
 		
+			# Setting variable defaults
 			noise = []
 			reset = 0
 		
+			# Get 60 samples of noise data (1/0 = yes/no)
 			while int(reset) <= 59:
+				# Append current noise sample value (either 1 or 0) to list from GPIO pin #23
 				noise.append(GPIO.input(23))
+				# Write out current value
 				sys.stdout.write(str(noise[reset]))
 				sys.stdout.flush()
+				# Increment the Counter
 				reset += 1
+				#Pause for 500 milliseconds
 				time.sleep(.5)			
 		
+			# Sum the list of sample values
 			avgnoise = (sum(noise))
 		
+			# Write out the SUM of the values
 			print ""
 			print "Noise level: %d/%d" % (avgnoise, reset)
 			
+			# Append the sum of values to the sample list
 			noise_sample.append(avgnoise)
 			
+			# Increment the sample counter
 			samples += 1
 		
+		# Get the average number or noisey samples (SUM of values divided by number of samples)
 		normalized_noise = (sum(noise_sample) /	len(noise_sample))
+		
+		# Write out the information gathered
 		print "Normalized Noise: %d" % normalized_noise
 		print "Current tooNoisey result: %s" % tooNoisey(normalized_noise, threshold)
 		print "Previous tooNoisey result: %s" % tooNoisey(prev_normalized_noise, threshold)
 		
+		# Determine whether the state has change from the last set of samples
+        # if the state change, we need to send alerts, update webpage, etc
+        # if not, do nothing
 		if (tooNoisey(normalized_noise, threshold) and (tooNoisey(prev_normalized_noise, threshold))):
 			skip = True
 		elif ((tooNoisey(normalized_noise, threshold) == False) and (tooNoisey(prev_normalized_noise, threshold) == False)):
@@ -69,14 +91,17 @@ def main():
 			publishWebpage(webpage, 'green', 'AVAILABLE')
 			sendEmail(fromaddress, toaddress, 'Laundry is AVAILABLE')		
 		
+		# The current normalized vaule is now the previous value
 		prev_normalized_noise = normalized_noise
 
+# This function determines if the current noise level is higher than the set threshold
 def tooNoisey(noise, threshold):
 	if int(noise) >= int(threshold):
 		return True
 	if int(noise) < int(threshold):
 		return False
 
+#This function sends an email to the address specified with the supplies message
 def sendEmail(me, to, msg):
 	import smtplib	
 	from email.mime.text import MIMEText