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In the era of increasing dietary awareness, the ability to classify food items based on nutritional attributes are invaluable. This involves developing a machine learning model that classifies food items. We need to create a robust model that can accurately label foods and gain insights into what makes food category distinct. management systems.

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NutriClass-Food-Classification-Using-Nutritional-Data

In the era of increasing dietary awareness, the ability to classify food items based on nutritional attributes are invaluable. This involves developing a machine learning model that classifies food items. We need to create a robust model that can accurately label foods and gain insights into what makes food category distinct. management systems.

Before begin this project code, kindly do the following procedures to setup your python environment.

STEP 1: Install python package

STEP 2: Download all the files from this repository.

STEP 3: Install all the packages in the requiremets.txt file using pip package installer.

STEP 4: Set up the virtual environment, where you keep all the downloaded files folder as follows,

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

STEP 5: You can run and improve this code on your own way. Thank you!

About

In the era of increasing dietary awareness, the ability to classify food items based on nutritional attributes are invaluable. This involves developing a machine learning model that classifies food items. We need to create a robust model that can accurately label foods and gain insights into what makes food category distinct. management systems.

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