diff --git a/Volume_hand_controller/Controller.py b/Volume_hand_controller/Controller.py
new file mode 100644
index 0000000..5511214
--- /dev/null
+++ b/Volume_hand_controller/Controller.py
@@ -0,0 +1,59 @@
+""" I have used pycaw by Andre Miras at https://github.com/AndreMiras/pycaw 
+    To control audio. It is an open-source module which can be installed by --> pip install pycaw  
+"""
+import math
+import cv2
+import time
+import numpy as np
+import HTrack as ht
+from comtypes import CLSCTX_ALL
+from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume
+
+height = 720 # height of webwindow
+width = 1080 # width of webwindow
+cap = cv2.VideoCapture(0) # using default system web cam 0
+cap.set(3, width) # 3 is a index specifying width
+cap.set(4, height) # 4 is a index specifying height
+prevTime = 0
+detector = ht.handDetector(detectionCon=0.7) # we need to detect hand more precisely
+devices = AudioUtilities.GetSpeakers() # instantiating system speakers as objects
+interface = devices.Activate(IAudioEndpointVolume._iid_, CLSCTX_ALL, None) # activating the interface to control volume
+volume = interface.QueryInterface(IAudioEndpointVolume)
+rangeVol=volume.GetVolumeRange() # volume range for my system is found to be -96 to 0
+volLeast=rangeVol[0]
+volHigh=rangeVol[1] 
+vol=volLeast #initialising volume to least volume
+volBar=400 #initialising volume bar
+while True:
+    success, img = cap.read() # reading the image
+    img=detector.drawHands(img) # detecting the hands
+    lmList=detector.getPositions(img) # finding landmarks of detected hands
+    if len(lmList)!=0:
+        # print(lmList[8],lmList[12])
+        x1,y1=lmList[8][1],lmList[8][2]
+        x2,y2=lmList[12][1],lmList[12][2]
+        cx,cy=(x1+x2)//2,(y1+y2)//2
+        cv2.circle(img,(x1,y1),10,(170,153,255),cv2.FILLED) # drawing circle around index finger
+        cv2.circle(img,(x2,y2),10,(170,153,255),cv2.FILLED) # drawing circle around middle finger
+        cv2.circle(img,(cx,cy),10,(170,153,255),cv2.FILLED) # drawing circle around center point of both fingers
+        cv2.line(img,(x1,y1),(x2,y2),(25,102,180),2)
+        distance=math.dist([x1,y1],[x2,y2])
+        # print(distance) # range of distance found to be 25 and 150
+        vol=np.interp(distance,[25,150],[volLeast,volHigh]) # To interpolate distance between index and middle fingers to the volume of system
+        volBar=np.interp(distance,[25,150],[400,100]) # To interpolate distance between index and middle fingers to the volume bar length
+        volume.SetMasterVolumeLevel(vol, None)
+        print(int(distance),vol)
+        if distance<25:
+            cv2.circle(img,(cx,cy),10,(0,0,120),cv2.FILLED) # indicating volume is 0 bby changing color of center circle
+    #drawing volume bar
+    cv2.rectangle(img,(80,100),(60,400),(230,153,0),2) # outer rectangle
+    cv2.rectangle(img,(80,int(volBar)),(60,400),(150,153,0),cv2.FILLED) # actual volume 
+    cv2.putText(img,"Volume",(40,420),cv2.FONT_HERSHEY_SIMPLEX,0.5,(149,100,149),2) 
+
+    currTime = time.time()
+    fps = 1/(currTime - prevTime) # using time to get timestamp of previous iteration and current iteration to know the frames per second
+    prevTime = currTime
+    cv2.putText(img, str(int(fps)), (30, 40), cv2.FONT_HERSHEY_PLAIN, 2, (255, 255, 0), 3) # writing FPS on screen
+    cv2.imshow("Image", img)
+    cv2.waitKey(1)
+