diff --git a/ProjectWriteupReflection.pdf b/ProjectWriteupReflection.pdf
new file mode 100644
index 0000000..9a30b85
Binary files /dev/null and b/ProjectWriteupReflection.pdf differ
diff --git a/README.md b/README.md
index 61ec120..a806895 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,7 @@
 # InteractiveProgramming
 This is the base repo for the interactive programming project for Software Design, Spring 2016 at Olin College.
+
+To play tic tac toe, just run TicTacToeTest.py.  Moves update every three seconds.  Use a green object to track properly.
+
+Nathan
+John
diff --git a/TicTacToeTest.py b/TicTacToeTest.py
new file mode 100644
index 0000000..23f79c5
--- /dev/null
+++ b/TicTacToeTest.py
@@ -0,0 +1,216 @@
+import sys, pygame
+import cv2
+import numpy as np
+import random
+import time
+from time import time
+
+cap = cv2.VideoCapture(0)
+
+# take first frame of the video
+ret, frame = cap.read()
+
+# define range of green color in HSV
+lower_blue = np.array([50,75,50])
+upper_blue = np.array([75,150,200])
+
+# setup initial location of window
+r,h,c,w = 200,120,260,120  # simply hardcoded the values
+track_window = (c,r,w,h)
+
+# set up the ROI for tracking
+roi = frame[r:r+h, c:c+w]
+hsv_roi =  cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
+
+# Threshold the HSV image to get only blue colors
+mask = cv2.inRange(hsv_roi, lower_blue, upper_blue)
+
+roi_hist = cv2.calcHist([hsv_roi],[0],mask,[180],[0,180])
+cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX)
+
+# Setup the termination criteria, either 10 iteration or move by atleast 1 pt
+term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 )
+
+pygame.init()
+
+def print_game_state(i,j):
+    """ Prints game state as a matrix"""
+    for i in range(3):
+        for j in range(3):
+            print cell_states.get((i,j)),
+        print ""
+
+def find_third(pos):
+    """ Finds which box was clicked in """
+    #determine which third the click was in (veritcal rectangles)
+    if pos[0] < left_third:
+        j = 0
+    elif left_third <= pos[0] and pos[0]  <= right_third:
+        j = 1
+    elif right_third <= pos[0]:
+        j = 2
+
+    #determine which third the click was in (horizontal rectangles)
+    if pos[1] < top_third:
+        i = 0
+    elif top_third <= pos[1] and pos[1]  <= bottom_third:
+        i = 1
+    elif bottom_third <= pos[1]:
+        i = 2
+    return (i , j)
+
+def generate_random_cell():
+    """
+    generate_random_cell generates a random cell to be used by the computer player
+    """
+    i = random.randint(0,2)
+    j = random.randint(0,2)
+    # print i,j
+    return (i , j)
+
+def check_for_win(cell_states):
+    """
+    Takes the game state dictionary and checks to see if there is a winner.  Calls declare_winner if there is a winner.
+    """
+    #check verticals
+    for j in range(3):
+        if ( cell_states.get((0,j)) == cell_states.get((1,j)) 
+            == cell_states.get((2,j)) != 0) : 
+            declare_winner(cell_states.get((0,j)))
+    #check horizontals
+    for i in range(3):
+        if ( cell_states.get((i, 0)) == cell_states.get((i, 1)) 
+            == cell_states.get((i ,2)) != 0) : 
+            declare_winner(cell_states.get((i, 0)))
+    #check diagonals
+    if (cell_states.get((0, 0)) == cell_states.get((1, 1)) 
+            == cell_states.get((2,2)) != 0) :
+            declare_winner(cell_states.get((1, 1))) 
+    elif (cell_states.get((2, 0)) == cell_states.get((1, 1)) 
+            == cell_states.get((0, 2)) != 0) :
+            declare_winner(cell_states.get((1, 1)))
+
+def declare_winner(int):
+    """
+    declare_winner determines which player wins the game and prints to the console
+    """
+    if int == 1:
+        print "Player 1 wins"
+    elif int == -1:
+        print "Player 2 wins"
+
+
+size = width, height = 1280, 920
+black = 0, 0, 0
+red = 200, 0, 0
+blue = 0, 0, 200
+
+screen = pygame.display.set_mode(size)
+
+# Initializing the game state
+cell_states = dict()
+for i in range(3):
+    for j in range(3):
+        cell_states[(i,j)] = 0
+
+#Find the screen's "thirds"
+left_third = width/3.0
+right_third = 2.0 * (left_third)
+top_third = height/3.0
+bottom_third = 2.0 * (top_third)
+
+#Creating borders
+left = pygame.Rect((left_third-5.0), 0, 10, height)
+pygame.draw.rect(screen, (200,200,200) , left)
+right = pygame.Rect((right_third-5.0), 0, 10, height)
+pygame.draw.rect(screen, (200,200,200) , right)
+top = pygame.Rect(0, (top_third-5.0), width, 10)
+pygame.draw.rect(screen, (200,200,200) , top)
+bottom = pygame.Rect(0, (bottom_third-5.0), width, 10)
+pygame.draw.rect(screen, (200,200,200) , bottom)
+
+rect_widths = (width-20)/3.0
+rect_heights = (height-20)/3.0
+rect_x_pos = [0, left_third+5, right_third+5]
+rect_y_pos = [0, top_third+5, bottom_third+5]
+
+#creates a dictionary of rectangles
+rect_dict = dict()
+for i in range(len(rect_x_pos)):
+    for j in range(len(rect_y_pos)):
+        rect_dict[(j,i)] = pygame.Rect(rect_x_pos[i], rect_y_pos[j], rect_widths, rect_heights)
+
+turn = 0 #initialize the turn
+
+t = time() #capture the current time.  Will update gamestate when the time is at least three seconds later
+
+
+while True: #main control loop
+    # Take each frame
+    ret, frame = cap.read()
+    frame = cv2.flip(frame,1)
+
+    # Convert BGR to HSV
+    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
+    dst = cv2.calcBackProject([hsv],[0],roi_hist,[0,180],1)
+
+    # Threshold the HSV image to get only blue colors
+
+    mask = cv2.inRange(hsv, lower_blue, upper_blue)
+
+    # Bitwise-AND mask and original image
+    # res = cv2.bitwise_and(frame,frame, mask= mask)
+
+    ret, track_window = cv2.meanShift(dst, track_window, term_crit)
+
+    # #draw it on frame
+    x,y,w,h = track_window
+
+    img2 = cv2.rectangle(frame, (x,y), (x+w,y+h), 255,2)
+
+    cv2.imshow('frame',frame)
+    cv2.imshow('mask',mask)
+    # cv2.imshow('res',res)
+    k = cv2.waitKey(5) & 0xFF
+    if k == 27:
+        break
+
+
+    for event in pygame.event.get():
+
+        if event.type == pygame.QUIT: sys.exit()
+
+        #control loop
+
+    if time() > t + 3: 
+        t = time()
+        pos = (2*(x+(w/2)), 2*(y+(h/2))) #green ball location
+        # print pos
+
+        #update clicked cell
+        if cell_states[find_third(pos)] == 0 and (turn % 2 == 0) :
+            #user input
+            cell_states[find_third(pos)] = 1
+            update_rectangle = rect_dict.get(find_third(pos))
+            pygame.draw.rect(screen, blue, update_rectangle)
+            turn +=1
+            check_for_win (cell_states)
+
+            #AI turn
+            random_cell = generate_random_cell()
+            cell_states[random_cell] = -1
+            update_rectangle = rect_dict.get(random_cell)
+            pygame.draw.rect(screen, red, update_rectangle)
+
+            turn +=1
+
+        # print_game_state(i,j)
+
+        check_for_win (cell_states)
+
+    pygame.display.flip()
+
+#close opencv windows
+cv2.destroyAllWindows()
+
+
diff --git a/sandbox/.TicTacToeTest.py.swp b/sandbox/.TicTacToeTest.py.swp
new file mode 100644
index 0000000..6795c91
Binary files /dev/null and b/sandbox/.TicTacToeTest.py.swp differ
diff --git a/sandbox/avgMask.py b/sandbox/avgMask.py
new file mode 100644
index 0000000..87c5fa0
--- /dev/null
+++ b/sandbox/avgMask.py
@@ -0,0 +1,85 @@
+import numpy as np
+import cv2
+
+# # set full length numpy arrays
+# np.set_printoptions(threshold=np.nan)
+
+
+
+#make color filter function
+def rbgcvt(image):
+    lower = [0, 0, 100]
+    upper = [100, 100, 255]
+    lower = np.array(lower, dtype = "uint8")
+    upper = np.array(upper, dtype = "uint8")
+
+    # find the colors within the specified boundaries and apply
+    # the mask
+    mask = cv2.inRange(image, lower, upper)
+    #output = cv2.bitwise_and(image, image, mask = mask)
+
+    return mask
+
+def vertical(image):
+    #find average vertical location
+    #first find number of successes in each line
+    numberLine = []
+    for line in image:
+        counter = 0
+        for value in line:
+            if value == 255:
+                counter += 1
+        numberLine.append(counter)
+    #next compute the average vertical distance using distance and weight
+    numerator = 0
+    for i in range(len(numberLine)):
+        numerator += (i+1) *  numberLine[i]
+        denominator = np.sum(numberLine)
+        vertPos = int(numerator / denominator)
+    return vertPos
+
+#next find horizontal positon
+def horizontal(image):
+    #first find number of success for vertical line
+    numberVertLine = []
+    total = 0
+    for i in range(len(image[0])):
+        counter = 0
+        for line in image:
+            if line[i] == 255:
+                counter += 1
+                total += 1
+        numberVertLine.append(counter*(i+1))
+
+
+    return np.sum(numberVertLine)/total
+
+#create capture object
+cap = cv2.VideoCapture(0)
+
+while(True):
+    # Capture frame-by-frame
+    ret, frame = cap.read()
+    detection = rbgcvt(frame)
+
+    # Our operations on the frame come here
+    # gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+
+    # Display the resulting frame
+    cv2.imshow('frame',detection)
+    print (horizontal(detection)/640., vertical(detection)/480.)
+
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+print (horizontal(detection)/640., vertical(detection)/480.)
+
+# cv2.imshow("image", detection)
+# cv2.waitKey(0)
+# # Our operations on the frame come here
+# # gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+
+# # Display the resulting frame
+
+# # When everything done, release the capture
+cap.release()
diff --git a/sandbox/maskOpenCV.py b/sandbox/maskOpenCV.py
new file mode 100644
index 0000000..e417742
--- /dev/null
+++ b/sandbox/maskOpenCV.py
@@ -0,0 +1,31 @@
+import cv2
+import numpy as np
+
+cap = cv2.VideoCapture(0)
+
+while(1):
+
+    # Take each frame
+    _, frame = cap.read()
+
+    # Convert BGR to HSV
+    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
+
+    # define range of blue color in HSV
+    lower_blue = np.array([110,50,50])
+    upper_blue = np.array([130,255,255])
+
+    # Threshold the HSV image to get only blue colors
+    mask = cv2.inRange(hsv, lower_blue, upper_blue)
+
+    # Bitwise-AND mask and original image
+    res = cv2.bitwise_and(frame,frame, mask= mask)
+
+    cv2.imshow('frame',frame)
+    cv2.imshow('mask',mask)
+    cv2.imshow('res',res)
+    k = cv2.waitKey(5) & 0xFF
+    if k == 27:
+        break
+
+cv2.destroyAllWindows()
diff --git a/sandbox/pygameTest1 b/sandbox/pygameTest1
new file mode 100644
index 0000000..2699237
--- /dev/null
+++ b/sandbox/pygameTest1
@@ -0,0 +1,2 @@
+import sys, pygame
+pygame.init()
\ No newline at end of file
diff --git a/sandbox/pygameTest1.py b/sandbox/pygameTest1.py
new file mode 100644
index 0000000..9cd8700
--- /dev/null
+++ b/sandbox/pygameTest1.py
@@ -0,0 +1,48 @@
+import sys, pygame
+pygame.init()
+
+size = width, height = 1280, 920
+speed = [1, 2]
+black = 0, 0, 0
+
+screen = pygame.display.set_mode(size)
+
+ball = pygame.image.load("ball.png")
+ballrect = ball.get_rect()
+
+while 1:
+    for event in pygame.event.get():
+        if event.type == pygame.QUIT: sys.exit()
+        if event.type == pygame.MOUSEBUTTONUP:
+            pos = pygame.mouse.get_pos()
+            print pos [0]
+            # print ballrect.left, pos[0], ballrect.right
+            # print ballrect.bottom, pos[1], ballrect.top
+            if ballrect.left < pos[0] and pos[0] <  ballrect.right: 
+                print "true"
+                if ballrect.bottom > pos[1] and pos[1] > ballrect.top:
+                    print "true"
+                    speed = [0,0]
+
+
+    ballrect = ballrect.move(speed)
+    if ballrect.left < 0:
+        speed[0] = -speed[0]*.99
+        if abs(speed[0]) < 2:
+            speed[0] += 2
+    if ballrect.right > width:
+        speed[0] = -speed[0]*.99
+        if abs(speed[0]) < 2:
+            speed[0] -= 2
+    if ballrect.top < 0:
+        speed[1] = -speed[1]*.99
+        if abs(speed[0]) < 2:
+            speed[0] += 2
+    if ballrect.bottom > height:
+        speed[1] = -speed[1]*.99
+        if abs(speed[0]) < 2:
+            speed[0] -= 2
+
+    screen.fill(black)
+    screen.blit(ball, ballrect)
+    pygame.display.flip()
\ No newline at end of file
diff --git a/sandbox/trackOpenCV.py b/sandbox/trackOpenCV.py
new file mode 100644
index 0000000..6f67394
--- /dev/null
+++ b/sandbox/trackOpenCV.py
@@ -0,0 +1,47 @@
+import numpy as np
+import cv2
+
+cap = cv2.VideoCapture(0)
+
+# take first frame of the video
+ret,frame = cap.read()
+
+# setup initial location of window
+r,h,c,w = 0,200,0,200  # simply hardcoded the values
+track_window = (c,r,w,h)
+
+# set up the ROI for tracking
+roi = frame[r:r+h, c:c+w]
+hsv_roi =  cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
+mask = cv2.inRange(hsv_roi, np.array((100., 50.,50.)), np.array((130.,100.,100.)))
+roi_hist = cv2.calcHist([hsv_roi],[0],mask,[180],[0,180])
+cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX)
+
+# Setup the termination criteria, either 10 iteration or move by atleast 1 pt
+term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 )
+
+while(1):
+    ret ,frame = cap.read()
+    frame = cv2.flip(frame,1)
+    if ret == True:
+        hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
+        dst = cv2.calcBackProject([hsv],[0],roi_hist,[0,180],1)
+
+        # apply meanshift to get the new location
+        ret, track_window = cv2.meanShift(dst, track_window, term_crit)
+
+        # Draw it on image
+        x,y,w,h = track_window
+        img2 = cv2.rectangle(frame, (x,y), (x+w,y+h), 255,2)
+        cv2.imshow('img2',frame)
+
+        k = cv2.waitKey(60) & 0xff
+        if k == 27:
+            break
+        else:
+            cv2.imwrite(chr(k)+".jpg",img2)
+    else:
+        break
+
+cv2.destroyAllWindows()
+cap.release()
diff --git a/sandbox/trackingOpencv.py b/sandbox/trackingOpencv.py
new file mode 100644
index 0000000..c24ba39
--- /dev/null
+++ b/sandbox/trackingOpencv.py
@@ -0,0 +1,83 @@
+import cv2
+import numpy as np
+
+def grid(x,y):
+    x = x/640.
+    y = y/480.
+
+    if x < .33:
+        x_return = 0
+    elif x < .66:
+        x_return = 1
+    else:
+        x_return = 2
+
+    if y < .33:
+        y_return = 0
+    elif y < .66:
+        y_return = 1
+    else:
+        y_return = 2
+
+    return x_return, y_return
+
+cap = cv2.VideoCapture(0)
+
+# take first frame of the video
+ret, frame = cap.read()
+
+# define range of green color in HSV
+lower_blue = np.array([50,75,50])
+upper_blue = np.array([75,150,200])
+
+# setup initial location of window
+r,h,c,w = 200,120,260,120  # simply hardcoded the values
+track_window = (c,r,w,h)
+
+# set up the ROI for tracking
+roi = frame[r:r+h, c:c+w]
+hsv_roi =  cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
+
+# Threshold the HSV image to get only blue colors
+mask = cv2.inRange(hsv_roi, lower_blue, upper_blue)
+
+roi_hist = cv2.calcHist([hsv_roi],[0],mask,[180],[0,180])
+cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX)
+
+# Setup the termination criteria, either 10 iteration or move by atleast 1 pt
+term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 )
+
+while(1):
+
+    # Take each frame
+    ret, frame = cap.read()
+    frame = cv2.flip(frame,1)
+
+    # Convert BGR to HSV
+    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
+    dst = cv2.calcBackProject([hsv],[0],roi_hist,[0,180],1)
+
+    # Threshold the HSV image to get only blue colors
+
+    mask = cv2.inRange(hsv, lower_blue, upper_blue)
+
+    # Bitwise-AND mask and original image
+    res = cv2.bitwise_and(frame,frame, mask= mask)
+
+    ret, track_window = cv2.meanShift(dst, track_window, term_crit)
+
+    #draw it on frame
+    x,y,w,h = track_window
+
+    print (x+(w/2), y+(h/2))
+
+    img2 = cv2.rectangle(frame, (x,y), (x+w,y+h), 255,2)
+
+    cv2.imshow('frame',frame)
+    cv2.imshow('mask',mask)
+    cv2.imshow('res',res)
+    k = cv2.waitKey(5) & 0xFF
+    if k == 27:
+        break
+
+cv2.destroyAllWindows()
diff --git a/sandbox/webcamCaptureTest.py b/sandbox/webcamCaptureTest.py
new file mode 100644
index 0000000..2dfcb04
--- /dev/null
+++ b/sandbox/webcamCaptureTest.py
@@ -0,0 +1,36 @@
+import numpy as np
+import cv2
+
+#make color filter function
+def rbgcvt(image):
+    boundaries = [([0, 0, 50], [100, 100, 255])]
+    for (lower, upper) in boundaries:
+        # create NumPy arrays from the boundaries
+        lower = np.array(lower, dtype = "uint8")
+        upper = np.array(upper, dtype = "uint8")
+
+        # find the colors within the specified boundaries and apply
+        # the mask
+        mask = cv2.inRange(image, lower, upper)
+        output = cv2.bitwise_and(image, image, mask = mask)
+
+    return mask 
+
+cap = cv2.VideoCapture(0)
+
+while(True):
+    # Capture frame-by-frame
+    ret, frame = cap.read()
+    detection = rbgcvt(frame)
+
+    # Our operations on the frame come here
+    # gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+
+    # Display the resulting frame
+    cv2.imshow('frame',detection)
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+# When everything done, release the capture
+cap.release()
+cv2.destroyAllWindows()
diff --git a/sandbox/webcamFaceTrackingTest.py b/sandbox/webcamFaceTrackingTest.py
new file mode 100644
index 0000000..0df8985
--- /dev/null
+++ b/sandbox/webcamFaceTrackingTest.py
@@ -0,0 +1,31 @@
+import numpy as np
+import cv2
+
+face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+
+def face_track(img):
+
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
+    for (x,y,w,h) in faces:
+        cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)
+        
+    return img
+
+
+cap = cv2.VideoCapture(0)
+
+while(True):
+    # Capture frame-by-frame
+    ret, frame = cap.read()
+    detection = face_track(frame)
+
+    # Display the resulting frame
+    cv2.imshow('frame',detection)
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+# When everything done, release the capture
+cap.release()
+cv2.destroyAllWindows()
\ No newline at end of file