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diff --git a/Readme.txt b/Readme.txt
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+{\rtf1\ansi\ansicpg1252\cocoartf2576
+\cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
+{\colortbl;\red255\green255\blue255;}
+{\*\expandedcolortbl;;}
+\paperw11900\paperh16840\margl1440\margr1440\vieww11520\viewh8400\viewkind0
+\pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural\partightenfactor0
+
+\f0\fs24 \cf0 This repository represents the final year project Software Development Project.\
+\
+It has 2 directory:\
+1. face_recog_model :- folder for machine learning model\
+2. FaceRecogAttendance :- folder for client application code\
+\
+****face_recog_model*****\
+1. Demo2 :- the machine learning model code\
+2. Face_extraction :- the script to extract faces from images\
+3. convert_to_coreml :- a script to convert the tensorflow model to cormel format\
+\
+*****FaceRecogAttendance*****\
+1. To test the application, simply run FaceRecogAttendance.xcworkspace in Xcode. You might need to change the bundle identifier and signing capabilities in Xcode.\
+\
+2. The directory have 3 main folders:\
+	1. Model - the data model in the application is all stored here\
+	2. View - the user interfaces of the application - the storyboard \
+	3. Controllers - all the controllers in the application are stored here\
+\
+	4. Some important file:\
+	GoogleService-info.plist :- a configuration file to access Firebase Storage\
+	Info.plist :- the client application configuration file\
+	FaceClassifierV3.mlmodel :- the coreml machine model converted from the tensorflow model.\
+	Pods :- cocoa pods file that is used in this application
+}
\ No newline at end of file