diff --git a/project/src/neural.rs b/project/src/neural.rs
index a834664..812baa1 100644
--- a/project/src/neural.rs
+++ b/project/src/neural.rs
@@ -11,6 +11,9 @@ use burn::{
     optim::AdamConfig,
 };
 
+// Constants
+const MODEL_DIRECTORY: &str = "./out";
+
 // Structures
 pub struct NeuralNetwork {
     mode: OperationMode,
@@ -26,25 +29,23 @@ impl NeuralNetwork {
 
     // Functions
     fn train(&self) {
+        // Creating Backend
         type MyBackend = Wgpu<f32, i32>;
         type MyAutodiffBackend = Autodiff<MyBackend>;
 
         // Create a default Wgpu device
         let device = burn::backend::wgpu::WgpuDevice::default();
 
-        // All the training artifacts will be saved in this directory
-        let artifact_dir = "/tmp/guide";
-
         // Train the model
         training::train::<MyAutodiffBackend>(
-            artifact_dir,
+            MODEL_DIRECTORY,
             training::TrainingConfig::new(model::ModelConfig::new(10, 512), AdamConfig::new()),
             device.clone(),
         );
 
         // Infer the model
         infrence::infer::<MyBackend>(
-            artifact_dir,
+            MODEL_DIRECTORY,
             device,
             burn::data::dataset::vision::MnistDataset::test()
                 .get(42)
@@ -52,16 +53,13 @@ impl NeuralNetwork {
         );
     }
     fn infer(&self) {
+        // Creating Backend
         type MyBackend = Wgpu<f32, i32>;
-
         let device = burn::backend::wgpu::WgpuDevice::default();
 
-        // All the training artifacts are saved in this directory
-        let artifact_dir = "/tmp/guide";
-
         // Infer the model
         infrence::infer::<MyBackend>(
-            artifact_dir,
+            MODEL_DIRECTORY,
             device,
             burn::data::dataset::vision::MnistDataset::test()
                 .get(42)