diff --git a/Levenshtein_Edit_Distance.py b/Levenshtein_Edit_Distance.py
index b076a99..014c64b 100644
--- a/Levenshtein_Edit_Distance.py
+++ b/Levenshtein_Edit_Distance.py
@@ -20,5 +20,4 @@ def edit_distance(str1, str2): #input is 2 strings that we will be comparing
         cost = 1  #no match: substitution
       D[i][j] = min(D[i-1][j] + 1, D[i][j-1] + 1,D[i-1][j-1] + cost)
 
-    return D[len(str1)][len(str2)] #last cell of matrix contains optimal solution
-
+  return D[len(str1)][len(str2)] #last cell of matrix contains optimal solution
\ No newline at end of file
diff --git a/README.md b/README.md
index 726c095..4db4fe7 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,20 @@
-# CSE-3500-Group-6-Project-Spring-2025
+# CSE-3500-SEC001-Group-6-Project-Spring-2025
 Repository to Implement Sec 001 Group 6 Algorithm Code
+
+# Group Members
+Sean Gannon sjg21010  
+Jennifer Chen jhc18015  
+Kieren Ghidela kag22034  
+Rikki Vetcha riv23005  
+
+# The files here as follows:
+Levenshtein_Edit_Distance.py:
+Our actual implementation of the Levenshtein Distance Algorithm.
+
+Test_Levenshtein_Edit_Distance.py:
+Unit test code for our implementation,
+
+Time_Levenshtein_Edit_Distance.py:
+Code we used to actually test the running time complexity of our implementation.
+
+# Thanks for viewing our repo!
diff --git a/Test_Levenshtein_Edit_Distance.py b/Test_Levenshtein_Edit_Distance.py
new file mode 100644
index 0000000..0a8624c
--- /dev/null
+++ b/Test_Levenshtein_Edit_Distance.py
@@ -0,0 +1,49 @@
+import unittest
+import Levenshtein_Edit_Distance
+
+class TestEditDistance(unittest.TestCase):
+    def test_empty_strings(self):
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("", ""), 0)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("  ", "  "), 0)
+
+    def test_identical_strings(self):
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("abcde", "abcde"), 0)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("hello_world", "hello_world"), 0)
+
+    def test_different_lengths(self):
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("apple", "pineapple"), 4)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("programming", "programmer"), 3)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("classification", "clarification"), 2)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("comp sci", "computer science"), 8)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("saturday", "sunday"), 3)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("video", "nvidia"), 3)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("uconn", "basketball"), 10)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("national", "champions"), 6)
+    
+    def test_same_lengths(self):
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("intention", "execution"), 5)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("storrs", "stores"), 1)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("student", "faculty"), 7)
+
+    def test_one_empty_string(self):
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("computer", ""), 8)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("", "science"), 7)
+
+    def test_different_cases(self):
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("UConn", "uconn"), 2)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("AbC", "abc"), 2)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("ALGORITHM", "algorithm"), 9)
+
+    def test_special_characters(self):
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("a|b^c}", "a&b#c."), 3)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("hello@world", "hello#world"), 1)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("test*#C$@", "test_(@$)"), 4)
+
+    def test_numeric_strings(self):
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("12345", "54321"), 4)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("123abc", "abc123"), 6)
+        self.assertEqual(Levenshtein_Edit_Distance.edit_distance("456789", "456789"), 0)
+
+if __name__ == '__main__':
+    unittest.main()
+
diff --git a/Time_Levenshtein_Edit_Distance.py b/Time_Levenshtein_Edit_Distance.py
new file mode 100644
index 0000000..c60c961
--- /dev/null
+++ b/Time_Levenshtein_Edit_Distance.py
@@ -0,0 +1,34 @@
+import random
+import time
+import sys
+from Levenshtein_Edit_Distance import edit_distance
+sys.setrecursionlimit(10**4)
+
+# define a random string with any possible character from the alphabet
+def random_string(length):
+    return ''.join(random.choices('abcdefghijklmnopqrstuvwxyz', k=length))
+
+if __name__ == "__main__":
+    # sizes of the strings being tested
+    sizes = [1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000, 5000, 10000]
+
+    # number of trials per string size
+    trials = 10
+
+
+    print(f"{'Size of Input':<15}{'Average Time (seconds)':>20}")
+
+    for n in sizes:
+        times = []
+
+        for i in range(trials):
+            string1 = random_string(n)
+            string2 = random_string(n)
+            start_time = time.time()
+            edit_distance(string1, string2)
+            end_time = time.time()
+            times.append(end_time - start_time)
+
+        average_time = sum(times) / trials
+
+        print(f"{n:<15}{average_time:>20.6f}")
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new file mode 100644
index 0000000..827d2c7
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