diff --git a/scripts/attendance_automation/attendance-automation.py b/scripts/attendance_automation/attendance-automation.py
new file mode 100644
index 0000000..da67def
--- /dev/null
+++ b/scripts/attendance_automation/attendance-automation.py
@@ -0,0 +1,80 @@
+import cv2
+import numpy as np
+import face_recognition
+import os
+from datetime import datetime
+
+path = 'images'
+images = []
+personName = []
+myList = os.listdir(path)
+
+print(myList)
+
+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)
+
+def faceEncodings(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
+
+encodeListKnown = (faceEncodings(images))
+print("All Encoding Complete!!!!!")
+
+def attendance(name):
+  with open('Attendance.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'{name}, {tStr}, {dStr}')
+
+
+cap = cv2.VideoCapture(0)
+
+while True:
+    ret, frame = cap.read()
+    faces = cv2.resize(frame, (0, 0), None, 0.25, 0.25)
+    faces = cv2.cvtColor(faces, cv2.COLOR_BGR2RGB)
+    facesCurrentFrame = face_recognition.face_locations(faces)
+    encodesCurrentFrame = face_recognition.face_encodings(faces, facesCurrentFrame)
+
+    for encodeFace, faceLoc in zip(encodesCurrentFrame, facesCurrentFrame):
+      matches = face_recognition.compare_faces(encodeListKnown, encodeFace)
+      faceDis = face_recognition.face_distance(encodeListKnown, encodeFace)
+      matchIndex = np.argmin(faceDis)
+
+      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), (0, 255, 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, 0, 0), 1)
+        attendance(name)
+    cv2.imshow("Camera", frame)
+
+    if cv2.waitKey(10) == 13:
+      break
+
+cap.release()
+
+cv2.destroyAllWindows()