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Machine learning Recognition model, built using the MobileNetV2 architecture, for food recognition and calorie estimation within a web application.

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CaloSense 🍽️ - Food recognizer 🍅🍍

Model for food recognition and calorie estimation within a web application.

  • The dataset is loaded, preprocessed, and augmented using TensorFlow and Keras.

  • The web application allows users to upload images of food items, and the model distinguishing between fruits and vegetables.

  • Additionally, the application fetches calorie information for the recognized food from online sources.

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Machine learning Recognition model, built using the MobileNetV2 architecture, for food recognition and calorie estimation within a web application.

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