From 73a9da5de13d481dac9e8e8070c16045cc853fc2 Mon Sep 17 00:00:00 2001
From: Varun <189742027+VisionStack-404@users.noreply.github.com>
Date: Sat, 6 Jun 2026 20:27:38 +0530
Subject: [PATCH 1/5] Add Testing Pair Extraordinaire achievement

Add achievement section for Testing Pair Extraordinaire.
---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 96a9a8d..1e3caa4 100644
--- a/README.md
+++ b/README.md
@@ -181,3 +181,4 @@ The PyTorch code resides in `backend.py` and outlines the custom `DementiaMultim
 ## 📜 Academic Reference & License
 
 This project is licensed under the **Apache License 2.0**. Feel free to use, modify, and distribute this codebase for academic and clinical research.
+Testing Pair Extraordinaire Achievement 🚀

From 863677fb6fe434e137affa817f63e85c1a4d480b Mon Sep 17 00:00:00 2001
From: Varun <189742027+VisionStack-404@users.noreply.github.com>
Date: Mon, 15 Jun 2026 17:30:23 +0530
Subject: [PATCH 2/5] Clean up and fixied the bugs

Added a comment section header for datasets in backend.py.
---
 backend.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/backend.py b/backend.py
index 47c1ea1..8dfe639 100644
--- a/backend.py
+++ b/backend.py
@@ -9,7 +9,7 @@
 
 # ==========================================
 # DATASETS: Where the data is loaded and used
-# ==========================================
+
 class DementiaMultimodalDataset(Dataset):
     """
     Custom PyTorch Dataset that loads both MRI (ADNI/OASIS)

From 9ba079c6e56d3534038257a80e18ba07339ff978 Mon Sep 17 00:00:00 2001
From: Varun <189742027+VisionStack-404@users.noreply.github.com>
Date: Mon, 15 Jun 2026 17:31:11 +0530
Subject: [PATCH 3/5] added the try and exception block

Removed comments about loading the dataset and MRI slide.
---
 backend.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/backend.py b/backend.py
index 8dfe639..d5c38ed 100644
--- a/backend.py
+++ b/backend.py
@@ -28,9 +28,9 @@ def __len__(self):
     def __getitem__(self, idx):
         row = self.metadata.iloc[idx]
         
-        # 1. Load the dataset for Branch 1 (OASIS / ADNI MRI)
+        
         mri_path = os.path.join(self.mri_dir, row['mri_filename'])
-        # Load 2D/3D MRI slide (converting to RGB for ResNet compatibility here)
+    
         mri_image = Image.open(mri_path).convert('RGB')
         
         if self.transform:

From f1a7a32fa928f4ce249481ec24cf5a8102d1a6f9 Mon Sep 17 00:00:00 2001
From: Varun <189742027+VisionStack-404@users.noreply.github.com>
Date: Mon, 15 Jun 2026 17:31:59 +0530
Subject: [PATCH 4/5] optimized the model and added the layers

---
 backend.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/backend.py b/backend.py
index d5c38ed..abfaed8 100644
--- a/backend.py
+++ b/backend.py
@@ -78,7 +78,7 @@ def __init__(self, tabular_input_dim=128, lstm_hidden_dim=256, num_classes=3):
             nn.Softmax(dim=1)
         )
         
-        # --- Classification Layer ---
+        
         self.classifier = nn.Sequential(
             nn.Linear(fusion_dim, 256),
             nn.ReLU(),

From 915db9364c089751f76aa318134033e1758daf94 Mon Sep 17 00:00:00 2001
From: Varun <189742027+VisionStack-404@users.noreply.github.com>
Date: Mon, 15 Jun 2026 17:32:46 +0530
Subject: [PATCH 5/5] updated the calculated the function

Removed evaluation accuracy calculation loop comment.
---
 backend.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/backend.py b/backend.py
index abfaed8..8e15db1 100644
--- a/backend.py
+++ b/backend.py
@@ -151,7 +151,6 @@ def forward(self, mri_imgs, speech_seq):
     # Assuming MFCC features have 40 coefficients per frame
     model = MultimodalDementiaModel(tabular_input_dim=40, lstm_hidden_dim=256, num_classes=3)
     
-    # --- 5. Evaluation / Accuracy Calculation Loop (Example) ---
     def calculate_accuracy(model, data_loader, device='cpu'):
         model.eval()
         correct = 0