diff --git a/tracking/inference.py b/tracking/inference.py
index a5afcd6..e1463f1 100644
--- a/tracking/inference.py
+++ b/tracking/inference.py
@@ -188,7 +188,32 @@ def inferenceByVariableEliminationWithCallTracking(callTrackingList=None):
             eliminationOrder = sorted(list(eliminationVariables))
 
         "*** YOUR CODE HERE ***"
-        raiseNotDefined()
+        # print("bn=",bayesNet)
+        # print("queryVariables=",queryVariables)
+        # print("evidenceDict=",evidenceDict)
+        # print("eliminationOrder=",eliminationOrder)
+        # Initialize current factors list with evidence
+        currentFactorsList = bayesNet.getAllCPTsWithEvidence(evidenceDict)
+        # print("currentFactorsList=",currentFactorsList)
+
+        # Iteratively join and eliminate variables in the elimination order
+        for variable in eliminationOrder:
+            # Join all factors containing the variable, thus making the variable "disappear" in the right part of the factor
+            currentFactorsList, joinedFactor = joinFactorsByVariable(currentFactorsList, variable)
+
+            # Only eliminate if there are more than one unconditioned variable, thus making the variable "disappear" in the left part of the factor
+            if len(joinedFactor.unconditionedVariables()) > 1:
+                eliminatedFactor = eliminate(joinedFactor, variable)
+                currentFactorsList.append(eliminatedFactor)
+
+        # Join all remaining factors
+        finalFactor = joinFactors(currentFactorsList)
+
+        # Normalize to get the true conditional probability
+        normalizedFactor = normalize(finalFactor)
+        # print("normalizedFactor=",normalizedFactor)
+
+        return normalizedFactor
         "*** END YOUR CODE HERE ***"