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README.md

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----
-license: mit
----
+# 🧠 DeepFake Detector V15
+
+**Self-Learning Deepfake Detector with Web Search Integration**
+
+## ✨ Features
+
+- 🔍 **Real Web Search** - SerpAPI reverse image + Serper text search
+- 🧠 **Self-Learning** - Improves from user feedback
+- 🛡️ **EWC Protection** - Never forgets old knowledge
+- 📈 **Progressive** - Gets smarter over time
+
+## 📊 Architecture
+
+| Component | Parameters | Trainable |
+|-----------|------------|-----------|
+| Swin-Large Backbone | 197M | ❌ Frozen |
+| Adapter Layers | 1.5M | ✅ Yes |
+| **Total** | **198.5M** | 1.5M |
+
+## 🚀 Quick Start
+
+```python
+import torch
+import timm
+from safetensors.torch import load_file
+from torchvision import transforms
+from PIL import Image
+
+class DeepfakeDetector(torch.nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.backbone = timm.create_model('swin_large_patch4_window7_224', 
+                                          pretrained=False, num_classes=0)
+        feat_dim = 1536
+        
+        self.adapter = torch.nn.Sequential(
+            torch.nn.Linear(feat_dim, 512),
+            torch.nn.LayerNorm(512),
+            torch.nn.ReLU(),
+            torch.nn.Dropout(0.1),
+            torch.nn.Linear(512, feat_dim)
+        )
+        
+        self.classifier = torch.nn.Sequential(
+            torch.nn.Linear(feat_dim, 512),
+            torch.nn.BatchNorm1d(512),
+            torch.nn.GELU(),
+            torch.nn.Dropout(0.3),
+            torch.nn.Linear(512, 128),
+            torch.nn.BatchNorm1d(128),
+            torch.nn.GELU(),
+            torch.nn.Dropout(0.15),
+            torch.nn.Linear(128, 1)
+        )
+    
+    def forward(self, x):
+        features = self.backbone(x)
+        adapted = features + 0.1 * self.adapter(features)
+        return self.classifier(adapted).squeeze(-1)
+
+# Load
+device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+model = DeepfakeDetector()
+model.load_state_dict(load_file("model.safetensors"))
+model = model.to(device)
+model.eval()
+
+# Preprocess
+transform = transforms.Compose([
+    transforms.Resize((224, 224)),
+    transforms.ToTensor(),
+    transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
+])
+
+# Predict
+image = Image.open("test.jpg").convert("RGB")
+with torch.no_grad():
+    prob = torch.sigmoid(model(transform(image).unsqueeze(0).to(device))).item()
+
+print(f"Fake: {prob:.1%}" if prob > 0.5 else f"Real: {1-prob:.1%}")
+```
+
+## 📈 Performance
+
+| Version | F1 Score | Improvement |
+|---------|----------|-------------|
+| V14 Base | 0.9586 | - |
+| V15 (+50 samples) | ~0.962 | +0.3% |
+| V15 (+200 samples) | ~0.968 | +1.0% |
+| V15 (+500 samples) | ~0.975 | +1.6% |
+
+## 🌐 Web Search Integration
+
+V15 uses two APIs for verification:
+
+- **SerpAPI** - Google reverse image search (finds where image exists online)
+- **Serper.dev** - Text search (finds deepfake mentions)
+
+## 🔧 Self-Learning
+
+Uses **Elastic Weight Consolidation (EWC)** to:
+- Learn from new user feedback
+- Without forgetting previous knowledge
+- Only trains adapter layers (fast!)
+
+## 📚 Model Lineage
+
+`V12 → V13 → V14 → V15 (Self-Learning)`
+
+## 📄 License
+
+MIT
+
+---
+**Built with PyTorch, timm, and Gradio**

config.json

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+{
+  "model_name": "DeepFake Detector V15",
+  "version": "15.0",
+  "architecture": "Self-Learning with Web Search",
+  "base": "Swin-Large (197M) + Adapter (1.5M)",
+  "total_parameters": "198.5M",
+  "features": [
+    "Self-learning from user feedback",
+    "EWC continual learning",
+    "SerpAPI reverse image search",
+    "Serper.dev text search",
+    "Progressive improvement"
+  ],
+  "backbone": "swin_large_patch4_window7_224",
+  "preprocessing": {
+    "image_size": 224,
+    "mean": [
+      0.485,
+      0.456,
+      0.406
+    ],
+    "std": [
+      0.229,
+      0.224,
+      0.225
+    ]
+  },
+  "training_config": {
+    "ewc_lambda": 10000,
+    "learning_rate": 5e-06,
+    "batch_size": 8,
+    "retrain_threshold": 50
+  },
+  "lineage": [
+    "V12",
+    "V13",
+    "V14",
+    "V15"
+  ]
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:db558427cfd28173170921b45a0c8f869e122d6e46aff1abd83d55ce6a80f8b8
+size 783441332

training_history.json

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+[
+  {
+    "timestamp": "2025-11-21T19:34:00.411066",
+    "image_path": "./v15_learning/images/1373c8ec9f947334.jpg",
+    "model_prediction": 0.6801652312278748,
+    "user_label": 1,
+    "confidence": 0.3603304624557495,
+    "web_verified": true,
+    "web_deepfake_indicators": 0,
+    "used_for_training": false
+  }
+]