Building-Deploying-DLProject

Building a FoodVision based on Deep learning

- Utilizes a pre-trained deep learning model based on EfficientNet-B1 and ViT (Vision Transformer) architectures for image recognition and classification.

- Allows the user to upload an image of food.

- The app processes the image, identifies the food type, and provides a prediction of the dish.

- The model is trained on a large dataset of food images, allowing it to accurately identify different types of cuisine and dishes.

- The use of EfficientNet-B1 and ViT architectures provides improved accuracy and efficiency compared to traditional CNNs.

- The app is designed to be user-friendly and provides a quick and efficient way to classify food images.

Try App...