diff --git a/problem1.py b/problem1.py
new file mode 100644
index 00000000..f1c69f19
--- /dev/null
+++ b/problem1.py
@@ -0,0 +1,53 @@
+# Time Complexity: O(n.k), where n is the number of strings and k is the maximum length of a string, since we compute the hash by iterating each character.
+# Space Complexity: O(n.k), to store the grouped anagrams in the hashmap and the output list.
+# Approach: Assign each character a unique prime number and compute the product for each string to form a unique hash, then use a hashmap to group strings that share the same hash
+class Solution:
+    def groupAnagrams(self, strs: List[str]) -> List[List[str]]:
+        # smap = defaultdict(list)
+        smap = {}
+        for i in strs:
+
+            hash_ = self.getHash(i)
+            if hash_ in smap:
+                smap[hash_].append(i)
+            else:
+                smap[hash_] = [i]
+
+        return list(smap.values())
+
+    def getHash(self, str: str) -> float:
+
+        primes = [
+            2,
+            3,
+            5,
+            7,
+            11,
+            13,
+            17,
+            19,
+            23,
+            29,
+            31,
+            37,
+            41,
+            43,
+            47,
+            53,
+            59,
+            61,
+            67,
+            71,
+            73,
+            79,
+            83,
+            89,
+            97,
+            101,
+        ]
+
+        hash = 1
+        for c in str:
+            hash *= primes[ord(c) - ord("a")]
+
+        return hash
diff --git a/problem2.py b/problem2.py
new file mode 100644
index 00000000..2a7387db
--- /dev/null
+++ b/problem2.py
@@ -0,0 +1,23 @@
+# Time Complexity: O(n), where n is the length of the string
+# Space Complexity: O(n), for storing character mappings in the hashmap and the used set in the worst case.
+# Approach: Use a hashmap to map each character from s to t and a set to ensure no two characters from s map to the same character in t, checking consistency in one pass.
+class Solution:
+    def isIsomorphic(self, s: str, t: str) -> bool:
+        smap={}
+        used=set()
+
+        for i in range(len(s)):
+
+            sChar = s[i]
+            tChar = t[i]
+
+            if sChar in smap:
+                if smap[sChar]!=tChar:
+                    return False
+            else:
+                if tChar in used:
+                    return False 
+                smap[sChar]=tChar
+                used.add(tChar)
+        print(smap,used)
+        return True  
diff --git a/problem3.py b/problem3.py
new file mode 100644
index 00000000..7949f5b8
--- /dev/null
+++ b/problem3.py
@@ -0,0 +1,31 @@
+# Time Complexity: O(n), where n is the number of words in s
+# Space Complexity:O(n), for storing mappings in the hashmap smap and the used set
+# Approach: Split the string into words, then use a hashmap to map each pattern character to a word and a set to ensure no two characters map to the same word,
+
+class Solution:
+    def wordPattern(self, pattern: str, s: str) -> bool:
+        smap={}
+        s=s.split()
+        # print(s)
+        used=set()
+        if len(pattern)!=len(s):
+            return False
+        for i in range(len(s)):
+            # print(pattern[i], s[i])
+            if pattern[i] in smap:
+                if smap[pattern[i]]!=s[i]:
+                    return False
+            else:
+                if s[i] in used:
+                    return False
+            smap[pattern[i]]=s[i]
+            used.add(s[i])
+
+        return True
+        
+
+
+        
+        
+            
+        
\ No newline at end of file