diff --git a/README.md b/README.md
deleted file mode 100644
index ea0f99a..0000000
--- a/README.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# Face-detection-using-MTCNN
-face detection using mtcnn complete implementation step by step
diff --git a/hello.txt b/hello.txt
deleted file mode 100644
index 95d09f2..0000000
--- a/hello.txt
+++ /dev/null
@@ -1 +0,0 @@
-hello world
\ No newline at end of file
diff --git a/input & output images/Outputfile.jpg b/input & output/Outputfile.jpg
similarity index 100%
rename from input & output images/Outputfile.jpg
rename to input & output/Outputfile.jpg
diff --git a/input & output images/file.mp4 b/input & output/file.mp4
similarity index 100%
rename from input & output images/file.mp4
rename to input & output/file.mp4
diff --git a/input & output images/file2.mp4 b/input & output/file2.mp4
similarity index 100%
rename from input & output images/file2.mp4
rename to input & output/file2.mp4
diff --git a/input & output images/filename.avi b/input & output/filename.avi
similarity index 100%
rename from input & output images/filename.avi
rename to input & output/filename.avi
diff --git a/input & output images/people.jpg b/input & output/people.jpg
similarity index 100%
rename from input & output images/people.jpg
rename to input & output/people.jpg
diff --git a/mtcnn_image.py b/mtcnn_image.py
index be7e2cc..5b77de9 100644
--- a/mtcnn_image.py
+++ b/mtcnn_image.py
@@ -2,7 +2,7 @@
 from mtcnn.mtcnn import MTCNN
 detector = MTCNN()
 
-img=cv2.imread("input & output images/people.jpg")
+img=cv2.imread("input & output/people.jpg")
 location = detector.detect_faces(img)
 if len(location) > 0:
     for face in location:
@@ -10,5 +10,5 @@
         x2, y2 = x + width, y + height
         cv2.rectangle(img, (x, y), (x2, y2), (0, 0, 255), 4)
 
-cv2.imwrite("input & output images/Outputfile.jpg",img)
-print("The Image was successfully saved")
\ No newline at end of file
+cv2.imwrite("input & output/Outputfile.jpg",img)
+print("The Image was successfully saved")
diff --git a/mtcnn_live_cam.py b/mtcnn_live_cam.py
index 6aaddda..1756426 100644
--- a/mtcnn_live_cam.py
+++ b/mtcnn_live_cam.py
@@ -2,7 +2,7 @@
 from mtcnn.mtcnn import MTCNN
 detector = MTCNN()
 
-video = cv2.VideoCapture(0)
+video = cv2.VideoCapture(0) #Read from computer or external camera 
 
 if (video.isOpened() == False):
     print("Web Camera not detected")
@@ -22,4 +22,4 @@
         break
 
 video.release()
-cv2.destroyAllWindows()
\ No newline at end of file
+cv2.destroyAllWindows()
diff --git a/mtcnn_video.py b/mtcnn_video.py
index 4572c47..9f1b39a 100644
--- a/mtcnn_video.py
+++ b/mtcnn_video.py
@@ -1,13 +1,10 @@
 import cv2
 from mtcnn.mtcnn import MTCNN
 detector = MTCNN()
+video = cv2.VideoCapture("input & output/file2.mp4")
 
-video = cv2.VideoCapture("input & output images/file2.mp4")
-
-# We need to check if camera
-# is opened previously or not
 if (video.isOpened() == False):
-    print("Error reading video file")
+    print("Video Not Founds")
 
 # We need to set resolutions.
 # so, convert them from float to integer.
@@ -16,10 +13,7 @@
 
 size = (frame_width, frame_height)
 
-# Below VideoWriter object will create
-# a frame of above defined The output
-# is stored in 'filename.avi' file.
-result = cv2.VideoWriter('filename.avi',cv2.VideoWriter_fourcc(*'MJPG'),29, size)
+result = cv2.VideoWriter('input & output/filename.avi',cv2.VideoWriter_fourcc(*'MJPG'),29, size)
 frame_num=0
 while (True):
     ret, frame = video.read()
@@ -33,11 +27,9 @@
                 x, y, width, height = face['box']
                 x2, y2 = x + width, y + height
                 cv2.rectangle(frame, (x, y), (x2, y2), (0, 0, 255), 4)
-        result.write(frame)
+        result.write(frame) #Write an image
         if cv2.waitKey(1) & 0xFF == ord('q'):
             break
-
-    # Break the loop
     else:
         break
 
diff --git a/~$README.md b/~$README.md
deleted file mode 100644
index 6ac0f6f..0000000
Binary files a/~$README.md and /dev/null differ