diff --git a/mcu/hands_on_feature_vectors/uart-reader.py b/mcu/hands_on_feature_vectors/uart-reader.py
index f1f1b9c4a434d199fafd9a671b0d4f9e495cb0da..c61428245b9938ed5ec4e399f3390c36abf6093d 100644
--- a/mcu/hands_on_feature_vectors/uart-reader.py
+++ b/mcu/hands_on_feature_vectors/uart-reader.py
@@ -3,12 +3,11 @@ uart-reader.py
 ELEC PROJECT - 210x
 """
 import argparse
-from pathlib import Path
+
 import matplotlib.pyplot as plt
 import numpy as np
 import serial
 from serial.tools import list_ports
-from sklearn.preprocessing import StandardScaler,MinMaxScaler, RobustScaler, PowerTransformer, Normalizer, QuantileTransformer
 
 
 import os
@@ -63,13 +62,6 @@ if __name__ == "__main__":
     args = argParser.parse_args()
     print("uart-reader launched...\n")
 
-    filename = 'modelLDA.pickle'
-    model_dir = Path(__file__).parent.parent.parent/"classification" / "data" /"models" / filename
-    with open(model_dir, "rb") as file:
-        model = pickle.load(file)
-
-    
-
     if args.port is None:
         print(
             "No port specified, here is a list of serial communication port available"
@@ -83,24 +75,17 @@ if __name__ == "__main__":
 
     else:
         input_stream = reader(port=args.port)
-        msg_counter = 0
+        msg_counter = 351
         classname = ""
         
         for melvec in input_stream:
         
             msg_counter += 1
-
-            melvec= melvec/np.abs(np.max(melvec))
-            melvec = StandardScaler().fit_transform(melvec.reshape(-1,1)).reshape(-1)
-            melvec = RobustScaler().fit_transform(melvec.reshape(-1,1)).reshape(-1)
-            melvec = Normalizer().fit_transform(melvec.reshape(-1,1)).reshape(-1)
-            
-            prediction_lda = model.predict(melvec)
-            print(prediction_lda)
+            if (msg_counter <= 1500):
+                np.save("../../classification/data_mcu/{}_{}".format(classname,msg_counter),melvec)
             #print(msg_counter)
 
             #plt.figure()
             #plot_specgram(melvec.reshape((N_MELVECS, MELVEC_LENGTH)).T, ax=plt.gca(), is_mel=True, title="MEL Spectrogram #{}".format(msg_counter), xlabel="Mel vector")
             #plt.show()
-            
-            
+            
\ No newline at end of file