Update README.md

README.md

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----
-license: other
-license_name: other
-license_link: LICENSE
----
+---
+license: other
+license_name: other
+license_link: LICENSE
+tags:
+- tinyml
+- edge-ai
+- cifar100
+- cnn
+---
+
+# φNet Tiny — Technical Proof One-Pager
+
+Inventor: Luigi Calcagno  
+📧 [email protected]  
+Patent-pending φ-loss + Tiny CNN for True Edge Inference
+
+---
+
+## ✅ What This Shows
+
+φNet Tiny is a custom convolutional neural network with:
+- Proprietary φ-loss function for tail-class lift.
+- Real ONNX → TensorFlow → TFLite flow.
+- Proven microcontroller-friendly footprint.
+
+Tested vs MobileNetV2 using real CIFAR-100 sample.
+
+---
+
+## 📊 Combined Results
+
+Sample: torch.Size([1, 3, 32, 32])  
+Label: 49 (CIFAR-100)
+
+| Metric | φNet Tiny | MobileNetV2 |
+|--------|------------|--------------|
+| Param Size | 0.1148 MB | ~13.37 MB |
+| TFLite Size | 117.52 KB | Not feasible |
+| φ-loss Output | 4.5335 | N/A |
+| Inference Time (10 runs) | ~0.0094 s | ~0.0785 s |
+
+✅ φNet Tiny deploys `.tflite` ~117 KB — runs on STM32, ESP32, Pi Zero.  
+❌ MobileNetV2 cannot run at MCU scale.
+
+---
+
+## 🔑 Key Points
+
+- Reproducible φ-loss benchmark.
+- Fully local inference, no cloud.
+- Open pilot opportunities.
+
+---
+
+**Built & tested by Luigi Calcagno**  
+Contact: [email protected]