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README.md

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-license: mit
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+# FreshVision with [EfficientNet](https://pytorch.org/hub/nvidia_deeplearningexamples_efficientnet/)
+
+![tomatoo](https://media.tenor.com/N3Glefqal5AAAAAe/tomato-meme.png)
+
+FreshVision is a machine learning model to classify freshness for fruits and vegetables. This model is built using EfficientNet. EfficientNet is an image classification model family thas has been trained on more than a million images from the ImageNet database.
+
+## Models library 
+* EfficientNetB0 [docs](https://pytorch.org/vision/main/models/generated/torchvision.models.efficientnet_b0.html)
+* EfficientNetB2 [docs](https://pytorch.org/vision/main/models/generated/torchvision.models.efficientnet_b2.html#torchvision.models.efficientnet_b2)
+
+## Prerequisites
+* Python 3
+    * torch 2.4.0
+    * torchvision 0.19.0
+    * tqdm 
+    * tensorboard 
+
+## References 
+* https://pytorch.org/hub/nvidia_deeplearningexamples_efficientnet/
+* https://data.mendeley.com/datasets/6ps7gtp2wg/1