diff --git a/README.md b/README.md
index 8342964..5d61f29 100644
--- a/README.md
+++ b/README.md
@@ -2,6 +2,14 @@
 
 This repository contains starter code and resources for Social Coding workshops covering 1-off fun subjects like generative art, coding competitions, code reading sessions or pseudocoding.
 
+## **Authors**  
+
+- Gennadii Ershov  
+- Jola-Moses  
+- Omer Awadalkareem  
+- Reem Osama  
+- Thilakan Jegatheeswaran
+
 ## Running Python Files in this Repository
 
 - **Running a plain Python script**:
diff --git a/challenges/challenge1.py b/challenges/challenge1.py
index 182c032..786b3da 100644
--- a/challenges/challenge1.py
+++ b/challenges/challenge1.py
@@ -26,3 +26,20 @@
 Interpret what the final expression means in the context of allowing or blocking a login attempt.
 
 """
+
+def simplify_boolean(A: bool, B: bool) -> bool:
+    """
+    Simpidies ¬(A∧(B∨¬B)) to ¬A
+    
+    Args:
+        A (bool): The user has provided the correct login credentials
+        B (bool): The login attempt is from a trusted device
+
+    Returns:
+        bool: True if the login should be blocked; False otherwise.
+    """
+    
+    # B ∨¬B - is always True - Complement Law
+    # A ∧ True = A - Identity Law
+    # ¬A = not A - Simplification  
+    return not A
diff --git a/challenges/challenge2.py b/challenges/challenge2.py
index 504b52b..2a9ca04 100644
--- a/challenges/challenge2.py
+++ b/challenges/challenge2.py
@@ -1,7 +1,6 @@
 # -*- coding: utf-8 -*-
 """
 Created on Thu Jan 30 15:30:30 2025
-
 @author: somai
 Challenge 2: Digital Access Control
 Objective
@@ -27,5 +26,18 @@
 Are there unnecessary overlaps in access that could pose a security risk?
 What changes would you recommend to enhance security and minimize excessive access?
 # -*- coding: utf-8 -*-
-
 """
+finance_access = {"E0435", "E1021", "E3098", "E7642", "E8873", "E6590"}
+tech_access = {"E7642", "E8873", "E6590", "E9812", "E4520"}
+admin = {"E0001"}
+new_employee = {"E9999"}
+# Who has access to at least one type of data?
+print("Who has access to at least one type of data? ", finance_access  | tech_access | admin)
+# Who has access to both financial and technical data?
+print("Who has access to both financial and technical data? ", (finance_access  & tech_access) | admin)
+# Who has exclusive access to only one type of data?
+print("Who has exclusive access to only one type of data? ", finance_access ^ tech_access)
+# Which employees currently lack access (but exist in the system)?
+print("Which employees currently lack access (but exist in the system)? ", new_employee)
+# Are there unnecessary overlaps in access that could pose a security risk?
+print("Are there unnecessary overlaps in access that could pose a security risk? No")
diff --git a/challenges/challenge3.py b/challenges/challenge3.py
index d20302e..15c01ba 100644
--- a/challenges/challenge3.py
+++ b/challenges/challenge3.py
@@ -7,7 +7,7 @@
 Objective
 Develop a visual representation of the company's access control system to identify patterns, overlaps, and security risks.
 Scenario
-The company’s security team is struggling to interpret raw access data. They need a clear way to see:
+The company's security team is struggling to interpret raw access data. They need a clear way to see:
 Employees who have access to financial records, technical documents, or both.
 Employees with no access, who may need onboarding.
 Any overlap that could indicate excessive privileges or security risks.
@@ -20,3 +20,12 @@
 Are there risks? Indicate employees who might be exposed to unnecessary data.
 Your output should visually highlight these relationships without explicitly listing them in a simple table or list. Think beyond just printing data—use a format that helps detect patterns at a glance.
 """
+from matplotlib_venn import venn2
+import matplotlib.pylot as plt
+
+finance_access = {"E0435", "E1021", "E3098", "E7642", "E8873", "E6590"}
+tech_access = {"E7642", "E8873", "E6590", "E9812", "E4520"}
+admin = {"E0001"}
+new_employee = {"E9999"}
+
+venn2([finance_access, tech_access, admin, new_employee], set_labels=("finance_access", "tech_access", "admin", "new_employee"))