Update about.md

about.md

@@ -15,3 +15,7 @@ Residual Connections: Implement residual connections to ease training in the ver
 Increased Filters: Use more filters in the layers to increase the learning capacity. 
 Accuracy 89.39% on test data.
 
+E1 Engine :
+The technology used in this solution combines EfficientNet-B0 as the base model, enhanced by knowledge distillation from a ResNet-34 teacher model to improve accuracy, and quantization to reduce the model size.
+After training and optimization, the final quantized model achieves a compact size of 16.6 MB, making it highly efficient for deployment. 
+On the test dataset, the model delivers a strong final accuracy of 93.78%, demonstrating its effectiveness in jersey number detection while meeting strict size constraints.