--- a
+++ b/Projects/NCS1/Client.py
@@ -0,0 +1,72 @@
+############################################################################################
+#
+# Project:       Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project
+# Repository:    ALL Detection System 2019
+# Project:       Facial Authentication Server
+#
+# Author:        Adam Milton-Barker (AdamMiltonBarker.com)
+# Contributors:
+# Title:         Client Class
+# Description:   Sends single or multiple images to the ALL Detection System 2019 Classifier.
+# License:       MIT License
+# Last Modified: 2020-07-21
+#
+############################################################################################
+
+import cv2, json, os, requests, sys, time
+
+from Classes.Helpers import Helpers
+
+
+class Client():
+    """ ALL Detection System 2019 Client Class
+
+    Sends single or multiple images to the ALL Detection System 2019 Classifier.
+    """
+
+    def __init__(self):
+        """ Initializes the Client Class. """
+
+        self.Helpers = Helpers("Client")
+        self.confs = self.Helpers.confs
+
+        self.addr = "http://"+self.confs["Classifier"]["IP"] + \
+            ':'+str(self.confs["Classifier"]["Port"]) + '/Inference'
+        self.headers = {'content-type': 'image/jpeg'}
+
+        self.Helpers.logger.info("Classifier class initialization complete.")
+
+    def send(self, imagePath):
+        """ Sends image to the inference API endpoint. """
+
+        _, img_encoded = cv2.imencode('.png', cv2.imread(imagePath))
+        response = requests.post(
+            self.addr, data=img_encoded.tostring(), headers=self.headers)
+        response = json.loads(response.text)
+
+        self.Helpers.logger.info(imagePath + ": " + response["Message"])
+
+    def test(self):
+        """ Loops through all images in the testing directory and sends
+        them to the inference API endpoint. """
+
+        testingDir = self.confs["Classifier"]["NetworkPath"] + \
+            self.confs["Classifier"]["TestImagePath"] + "/"
+
+        for test in os.listdir(testingDir):
+            if os.path.splitext(test)[1] in self.confs["Classifier"]["ValidIType"]:
+                self.send(testingDir+test)
+                time.sleep(7)
+
+
+if __name__ == "__main__":
+
+    Client = Client()
+
+    if sys.argv[1] == "Send":
+
+        Client.send(sys.argv[2])
+
+    elif sys.argv[1] == "Test":
+
+        Client.test()