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README.md

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-license: mit
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+"""# EfficientNet-B2 Emotion Detection (v1)
+
+This model classifies facial emotions into 7 categories:
+`angry`, `disgust`, `fear`, `happy`, `neutral`, `sad`, `surprise`.
+
+**Architecture:** EfficientNet-B2  
+**Training Platform:** Kaggle GPU  
+**Accuracy:** ~80.25%  
+**Framework:** PyTorch  
+**Developer:** Varad V. Choudhari (Atman AI)  
+**License:** MIT  
+
+### Example Usage
+```python
+from huggingface_hub import hf_hub_download
+path = hf_hub_download(
+    repo_id="AtmanAI/emotion-detection-efficientnet-b2-v1",
+    filename="efficientnet_b2_emotion_final.pth"
+)