diff --git a/fps_detector b/fps_detector
new file mode 100644
index 0000000..9928a4a
--- /dev/null
+++ b/fps_detector
@@ -0,0 +1,38 @@
+import cv2
+import mediapipe as mp 
+import time #this is for fps
+
+cap = cv2.VideoCapture(0)
+
+mpHands = mp.solutions.hands
+hands = mpHands.Hands()
+mpDraw = mp.solutions.drawing_utils 
+
+
+pTime = 0 #previous time 
+cTime = 0 #current time 
+
+while True :
+   
+    success, img = cap.read()
+    imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+    results = hands.process(imgRGB)
+
+
+    if results.multi_hand_landmarks:
+        for handlmks in results.multi_hand_landmarks:
+            mpDraw.draw_landmarks(img, handlmks,mpHands.HAND_CONNECTIONS)
+
+    cTime = time.time() #this gets time 
+    fps = (1/(cTime-pTime))  #this calculates fps 
+    pTime = cTime #this updates fps 
+
+    cv2.putText(img, str(int(fps)), (10,70), cv2.FONT_HERSHEY_COMPLEX, 3, (255, 0,255), 3) #this displays fps @ img as str which has int values at position 10,70 aat some font with scale 3 color purple and thickness 3 
+
+   
+   
+    cv2.imshow("image", img)
+    
+    key = cv2.waitKey(1)
+    if key == ord('q'):
+        break 
diff --git a/zoom.py b/zoom.py
new file mode 100644
index 0000000..c1d9df1
--- /dev/null
+++ b/zoom.py
@@ -0,0 +1,50 @@
+import cv2
+from cvzone.HandTrackingModule import HandDetector
+
+cap = cv2.VideoCapture(0)
+cap.set(3, 1280)
+cap.set(4, 720)
+
+detector = HandDetector(detectionCon=1)
+startDist = None
+scale = 0
+cx, cy = 500,500
+while True:
+    success, img = cap.read()
+    hands, img = detector.findHands(img)
+    img1 = cv2.imread("download.jpg")
+
+    if len(hands) == 2:
+        # print(detector.fingersUp(hands[0]), detector.fingersUp(hands[1]))
+        if detector.fingersUp(hands[0]) == [1, 1, 0, 0, 0] and \
+                detector.fingersUp(hands[1]) == [1, 1, 0, 0, 0]:
+            # print("Zoom Gesture")
+            lmList1 = hands[0]["lmList"]
+            lmList2 = hands[1]["lmList"]
+            # point 8 is the tip of the index finger
+            if startDist is None:
+                #length, info, img = detector.findDistance(lmList1[8], lmList2[8], img)
+                length, info, img = detector.findDistance(hands[0]["center"], hands[1]["center"], img)
+
+                startDist = length
+
+            #length, info, img = detector.findDistance(lmList1[8], lmList2[8], img)
+            length, info, img = detector.findDistance(hands[0]["center"], hands[1]["center"], img)
+
+            scale = int((length - startDist) // 2)
+            cx, cy = info[4:]
+            print(scale)
+    else:
+        startDist = None
+
+    try:
+        h1, w1, _= img1.shape
+        newH, newW = ((h1+scale)//2)*2, ((w1+scale)//2)*2
+        img1 = cv2.resize(img1, (newW,newH))
+
+        img[cy-newH//2:cy+ newH//2, cx-newW//2:cx+ newW//2] = img1
+    except:
+        pass
+
+    cv2.imshow("Image", img)
+    cv2.waitKey(1)
diff --git a/zoom_func.py b/zoom_func.py
new file mode 100644
index 0000000..c1d9df1
--- /dev/null
+++ b/zoom_func.py
@@ -0,0 +1,50 @@
+import cv2
+from cvzone.HandTrackingModule import HandDetector
+
+cap = cv2.VideoCapture(0)
+cap.set(3, 1280)
+cap.set(4, 720)
+
+detector = HandDetector(detectionCon=1)
+startDist = None
+scale = 0
+cx, cy = 500,500
+while True:
+    success, img = cap.read()
+    hands, img = detector.findHands(img)
+    img1 = cv2.imread("download.jpg")
+
+    if len(hands) == 2:
+        # print(detector.fingersUp(hands[0]), detector.fingersUp(hands[1]))
+        if detector.fingersUp(hands[0]) == [1, 1, 0, 0, 0] and \
+                detector.fingersUp(hands[1]) == [1, 1, 0, 0, 0]:
+            # print("Zoom Gesture")
+            lmList1 = hands[0]["lmList"]
+            lmList2 = hands[1]["lmList"]
+            # point 8 is the tip of the index finger
+            if startDist is None:
+                #length, info, img = detector.findDistance(lmList1[8], lmList2[8], img)
+                length, info, img = detector.findDistance(hands[0]["center"], hands[1]["center"], img)
+
+                startDist = length
+
+            #length, info, img = detector.findDistance(lmList1[8], lmList2[8], img)
+            length, info, img = detector.findDistance(hands[0]["center"], hands[1]["center"], img)
+
+            scale = int((length - startDist) // 2)
+            cx, cy = info[4:]
+            print(scale)
+    else:
+        startDist = None
+
+    try:
+        h1, w1, _= img1.shape
+        newH, newW = ((h1+scale)//2)*2, ((w1+scale)//2)*2
+        img1 = cv2.resize(img1, (newW,newH))
+
+        img[cy-newH//2:cy+ newH//2, cx-newW//2:cx+ newW//2] = img1
+    except:
+        pass
+
+    cv2.imshow("Image", img)
+    cv2.waitKey(1)