diff --git a/Face_Detection.py b/Face_Detection.py
new file mode 100644
index 0000000..15b3d65
--- /dev/null
+++ b/Face_Detection.py
@@ -0,0 +1,31 @@
+import cv2
+import os
+alg = "haarcascade_frontalface_default.xml"
+haar = cv2.CascadeClassifier(alg)
+cam = cv2.VideoCapture(0)
+dataset = "datasets"
+name = "champ"
+path = os.path.join(dataset,name)
+if not os.path.isdir(path):
+    os.mkdir(path)
+(width,height) = (130,100)
+count = 1   
+while count<30:
+    _,img = cam.read()
+    grayImg = cv2.cvtColor(img,cv2.COLOR_BG2GRAY)
+    faces = haar.detectMultiScale(grayImg,1.3,4)
+    for (x,y,w,h) in faces:
+        cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
+        onlyface = grayImg[y:y+h,x:x+w]
+        resizeImg = cv2.resize(grayImg,(width,height)) #complete frame
+        perfectImg = cv2.resize(perfectImg,(width,height)) #only face
+        cv2.imwrite("%s/%s.jpg"%(path,count),perfectImg)
+        cv2.imwrite("%s/%s.jpg"%(path,count),resizeImg)
+        count+=1
+    cv2.imshow("FaceDetection",img)
+    key = cv2.waitKey(10)
+    if key == 27:
+        break
+print("Face captured Successfully")
+cam.release()
+cv2.destroyAllWindows()