diff --git a/EXTRACT_DATA.py b/EXTRACT_DATA.py
new file mode 100644
index 000000000..0bfc027ac
--- /dev/null
+++ b/EXTRACT_DATA.py
@@ -0,0 +1,102 @@
+import cv2
+import mediapipe as mp
+import pandas as pd  
+import os
+import numpy as np 
+
+def image_processed(file_path):
+    
+    # reading the static image
+    hand_img = cv2.imread(file_path)
+
+    # Image processing
+    # 1. Convert BGR to RGB
+    img_rgb = cv2.cvtColor(hand_img, cv2.COLOR_BGR2RGB)
+
+    # 2. Flip the img in Y-axis
+    img_flip = cv2.flip(img_rgb, 1)
+
+    # accessing MediaPipe solutions
+    mp_hands = mp.solutions.hands
+
+    # Initialize Hands
+    hands = mp_hands.Hands(static_image_mode=True,
+    max_num_hands=2, min_detection_confidence=0.7)
+
+    # Results
+    output = hands.process(img_flip)
+
+    hands.close()
+
+    try:
+        data = output.multi_hand_landmarks[0]
+        #print(data)
+
+        data = str(data)
+
+        data = data.strip().split('\n')
+
+        garbage = ['landmark {', '  visibility: 0.0', '  presence: 0.0', '}']
+
+        without_garbage = []
+
+        for i in data:
+            if i not in garbage:
+                without_garbage.append(i)
+
+        clean = []
+
+        for i in without_garbage:
+            i = i.strip()
+            clean.append(i[2:])
+
+        for i in range(0, len(clean)):
+            clean[i] = float(clean[i])
+
+        
+        return([clean])
+
+    except:
+        return(np.zeros([1,63], dtype=int)[0])
+
+def make_csv():
+    
+    mypath = 'RESIZED_DATASET'
+    file_name = open('final_datasetBSL.csv', 'a')
+
+    for each_folder in os.listdir(mypath):
+        if '._' in each_folder:
+            pass
+
+        else:
+            for each_number in os.listdir(mypath + '/' + each_folder):
+                if '._' in each_number:
+                    pass
+                
+                else:
+                    label = each_folder
+
+                    file_loc = mypath + '/' + each_folder + '/' + each_number
+
+                    data = image_processed(file_loc)
+                    
+                    try:
+                        for i in data:
+                            file_name.write(str(i))
+                            file_name.write(',')
+
+                        file_name.write(label)
+                        file_name.write('\n')
+                    
+                    except:
+                        file_name.write('0')
+                        file_name.write(',')
+
+                        file_name.write('None')
+                        file_name.write('\n')
+       
+    file_name.close()
+    print('Data Created !!!')
+
+if __name__ == "__main__":
+    make_csv()
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