diff --git a/AI_Attendence_Program/Main.py b/AI_Attendence_Program/Main.py
index cd0f8960..a5cc5697 100644
--- a/AI_Attendence_Program/Main.py
+++ b/AI_Attendence_Program/Main.py
@@ -4,73 +4,55 @@
 import os
 from datetime import datetime
 
-path = 'Images'
-Images = []
-PersonName = []
-mylist = os.listdir(path)
-print(mylist)
-# for separating the name from their extensions
-for cu_img in mylist:
-    current_Img = cv2.imread(f'{path}/{cu_img}')
-    Images.append(current_Img)
-    PersonName.append(os.path.splitext(cu_img)[0])
-print(PersonName)
+IMAGE_DIR = 'Images'
+ATTENDANCE_FILE = 'Attendance.csv'
+SCALE_FACTOR = 0.25
 
+def load_images_and_names():
+    image_files = os.listdir(IMAGE_DIR)
+    images = [cv2.imread(f'{IMAGE_DIR}/{file}') for file in image_files]
+    names = [os.path.splitext(file)[0] for file in image_files]
+    return images, names
 
-def encodings(images):
-    encodelist = []
-    for img in images:
-        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
-        encode = face_recognition.face_encodings(img)[0]
-        encodelist.append(encode)
-    return encodelist
+def generate_face_encodings(images):
+    return [face_recognition.face_encodings(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))[0] for img in images]
 
+def record_attendance(name):
+    with open(ATTENDANCE_FILE, 'r+') as file:
+        existing_names = {line.split(',')[0] for line in file.readlines()}
+        if name not in existing_names:
+            timestamp = datetime.now().strftime('%H:%M:%S,%d/%m/%Y')
+            file.write(f'\n{name},{timestamp}')
 
-encode_list_Known = encodings(Images)
-print("ALL ENCODING FOUND!!!")
+known_images, known_names = load_images_and_names()
+known_encodings = generate_face_encodings(known_images)
 
-
-def attendance(name):
-    with open('Attendence.csv', 'r+') as f:
-        myDataList = f.readlines()
-        nameList = []
-        for line in myDataList:
-            entry = line.split(',')
-            nameList.append(entry[0])
-        if name not in nameList:
-            time_now = datetime.now()
-            tStr = time_now.strftime('%H:%M:%S')
-            dStr = time_now.strftime('%d/%m/%Y')
-            f.writelines(f'\n{name},{tStr},{dStr}')
-
-
-cap = cv2.VideoCapture(0)
+video_capture = cv2.VideoCapture(0)
 
 while True:
-    ret, frame = cap.read()
-    faces = cv2.resize(frame, (0, 0), None, 0.25, 0.25)
-    faces = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
-
-    faces_currentframe = face_recognition.face_locations(faces)
-    encode_currentframe = face_recognition.face_encodings(faces, faces_currentframe)
-
-    for encodeFace, faceLoc in zip(encode_currentframe, faces_currentframe):
-        matches = face_recognition.compare_faces(encode_list_Known, encodeFace)
-        faceDistance = face_recognition.face_distance(encode_list_Known, encodeFace)
-
-        matchIndex = np.argmin(faceDistance)
-
-        if matches[matchIndex]:
-            name = PersonName[matchIndex].upper()
-            y1, x2, y2, x1 = faceLoc
-            #y1, x2, y2, x1 = y1 * 4, x2 * 4, y2 * 4, x1 * 4
-            cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 0, 0), 2)
-            cv2.rectangle(frame, (x1, y2 - 35), (x2, y2), (0, 255, 0), cv2.FILLED)
-            cv2.putText(frame, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
-            attendance(name)
-
-    cv2.imshow("camera", frame)
+    ret, frame = video_capture.read()
+    scaled_frame = cv2.resize(frame, (0, 0), fx=SCALE_FACTOR, fy=SCALE_FACTOR)
+    rgb_frame = cv2.cvtColor(scaled_frame, cv2.COLOR_BGR2RGB)
+
+    face_locations = face_recognition.face_locations(rgb_frame)
+    face_encodings = face_recognition.face_encodings(rgb_frame, face_locations)
+
+    for encoding, location in zip(face_encodings, face_locations):
+        matches = face_recognition.compare_faces(known_encodings, encoding)
+        face_distances = face_recognition.face_distance(known_encodings, encoding)
+        best_match_index = np.argmin(face_distances)
+
+        if matches[best_match_index]:
+            name = known_names[best_match_index].upper()
+            top, right, bottom, left = [coord * int(1/SCALE_FACTOR) for coord in location]
+            cv2.rectangle(frame, (left, top), (right, bottom), (255, 0, 0), 2)
+            cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 255, 0), cv2.FILLED)
+            cv2.putText(frame, name, (left + 6, bottom - 6), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2)
+            record_attendance(name)
+
+    cv2.imshow('Video Feed', frame)
     if cv2.waitKey(10) == 13:
         break
-cap.release()
+
+video_capture.release()
 cv2.destroyAllWindows()