diff --git a/NNClassifier/Main.java b/NNClassifier/Main.java
new file mode 100644
index 0000000..ced1749
--- /dev/null
+++ b/NNClassifier/Main.java
@@ -0,0 +1,203 @@
+/**
+	@author Akshay Mattoo
+*/
+
+package NNClassifier;
+
+import NNClassifier.*;
+import NNClassifier.Classifier.*;
+import NNClassifier.Distance.*;
+import NNClassifier.VPTree.*;
+
+import java.util.*;
+import java.io.*;
+
+public class Main
+{
+	public static void main(String[] args)
+	{
+		//Set Path to Train and Test dataset
+		String trainImagesFile = "NNClassifier/Data/train_images";
+		String trainLabelsFile = "NNClassifier/Data/train_labels";
+		String testImagesFile = "NNClassifier/Data/test_images";
+		String testLabelsFile = "NNClassifier/Data/test_labels";
+
+
+		// Read Train Images
+		System.out.print("Reading train images...");
+		FileInputStream fin = null;
+		ArrayList <Image> trainImages = null;
+		try
+        {
+			fin = new FileInputStream (trainImagesFile);
+			trainImages = readImages (fin);
+			System.out.print("\tRead!\n");
+		}
+        catch (FileNotFoundException e)
+        {
+			System.out.print("\tERROR! File not found\n");
+		}
+
+		// Read Train Labels
+		System.out.print("Reading train labels...");
+		fin = null;
+		ArrayList <Integer> trainLabels = null;
+		try
+        {
+			fin = new FileInputStream (trainLabelsFile);
+			trainLabels = readLabels (fin);
+			System.out.print("\tRead!\n");
+		}
+        catch (FileNotFoundException e)
+        {
+			System.out.print("\tERROR! File not found\n");
+		}
+
+
+		OneNNClassifier classifier = null;
+		System.out.print("Setting distance metric as...");
+		if (args.length==0 || ((String)args[0]).equals("l2"))
+		{
+			l2Distance dist = new l2Distance ();
+			classifier = new OneNNClassifier (dist);
+			System.out.print("\tEuclidean distance\n");
+		}
+		else if (((String)(args[0])).equals("l1"))
+		{
+			l1Distance dist = new l1Distance ();
+			classifier = new OneNNClassifier (dist);
+			System.out.print("\tManhattan distance\n");
+		}
+		else if (((String)(args[0])).equals("linf"))
+		{
+			linfDistance dist = new linfDistance ();
+			classifier = new OneNNClassifier (dist);
+			System.out.print("\tChebyshev distance\n");
+		}
+		else
+		{
+			System.out.print("\tInput not recognized! Using Euclidean distance by default\n");
+			l2Distance dist = new l2Distance ();
+			classifier = new OneNNClassifier (dist);
+		}
+
+
+		// Train Classifier
+		System.out.print("Training classifier...");
+		classifier.train(trainImages, trainLabels);
+		System.out.print("\tDone!\n");
+
+
+		// Read Test Images
+		System.out.print("Reading test images...");
+		fin = null;
+		ArrayList <Image> testImages = null;
+		try
+        {
+			fin = new FileInputStream (testImagesFile);
+			testImages = readImages (fin);
+			System.out.print("\tRead!\n");
+		}
+        catch (FileNotFoundException e)
+        {
+			System.out.print("\tERROR! File not found\n");
+		}
+
+		// Read Test Labels
+		System.out.print("Reading test labels...");
+		fin = null;
+		ArrayList <Integer> testLabels = null;
+		try
+        {
+			fin = new FileInputStream (testLabelsFile);
+			testLabels = readLabels (fin);
+			System.out.print("\tRead!\n");
+		}
+        catch (FileNotFoundException e)
+        {
+			System.out.print("\tERROR! File not found\n");
+		}
+
+
+		System.out.print("Running classifier over test data...");
+		classifier.test (testImages);
+		System.out.print("\tPredictions stored!\n");
+
+
+		System.out.println("Calculating Accuracy...");
+		double acc = classifier.getAccuracy(testLabels);
+		System.out.println("Accuracy = " + acc);
+	}
+
+	private static ArrayList <Image> readImages (FileInputStream fin)
+	{
+        DataInputStream din = new DataInputStream (fin);
+
+        int magicNum = readInt(din);
+		int numItems = readInt(din);
+		int row = readInt(din);
+        int col = readInt(din);
+
+		ArrayList <Image> data = new ArrayList <Image> ();
+		for (int i=0; i<numItems; ++i)
+		{
+			ArrayList <Integer> pixels = new ArrayList <Integer> ();
+			for (int j=0; j<row*col; ++j)
+			{
+				int p = 0;
+                try
+                {
+					p = fin.read();
+				}
+                catch (IOException e)
+                {
+					System.out.println("ERROR! Could not read images");
+				}
+
+				pixels.add(p);
+			}
+
+            Image img = new Image (pixels);
+			data.add(img);
+		}
+		return data;
+	}
+
+	private static ArrayList <Integer> readLabels (FileInputStream fin)
+	{
+        DataInputStream din = new DataInputStream (fin);
+
+        int magicNum = readInt(din);
+		int numItems = readInt(din);
+
+		ArrayList <Integer> labels = new ArrayList <Integer> ();
+		for (int i=0; i<numItems; ++i)
+		{
+            int label = 0;
+            try
+            {
+				label = fin.read();
+			}
+            catch (IOException e)
+            {
+				System.out.println("ERROR! Could not read labels");
+			}
+
+			labels.add(label);
+		}
+		return labels;
+	}
+
+	private static int readInt (DataInputStream din)
+    {
+        try
+        {
+			return din.readInt();
+		}
+        catch (IOException e)
+        {   }
+
+        return 0;
+    }
+
+}