calorie-tracker

Food-Calorie-Estimation with Integrated Generative AI

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Table of Contents

• Food-Image-Recognition

  • Table of Contents

  • About the Project

    • Overview
    • Built With
    • Dataset

  • Results

    • Demo
    • Visualization of different layers.

  • Contact

  • References

About the Project

Overview

• Each year, approximately 6,78,000 deaths are caused in the United States of America due to unhealthy diet.
• A typical American diet is too high in calories, fat, sugars, sodium, etc.
• Hence, people have became more proactive when it comes to health matters.
• Services like eating habit recorder and calorie/nutrition calculator have became extremely popular.
• They can make users aware of problems like obesity, cancer, diabetes, heart-disease, etc. that can be caused by unhealthy diets.
• Most of these services require the users to manually select a food item from a hierarchical menu which is a time consuming process and not so user friendly.
• An user-interactive system that takes food images as an input, recognizes the food automatically and gives the nutritional-facts as an output will save a lot of time.
• This system can be used in various areas such as social network, health-care applications, eating-habit evaluations, etc.
• For food image recognition we will be using transfer learning to retrain the final layer (with 101 additional food-classes) of Inception-v3 model which is already trained by Google on 1000 classes.
• It almost took 10-11 hours to train the model on Google Colab.

Built With

• Python
• Jupyter Notebook
• Google Colab
• Generative AI

Dataset

Food Images Source: The Food-101 Data Set

• The data set consists of 101 food categories, with 1,01, 000 images.
• 250 test images/per class and 750 training images/per class are provided.
• All the images were rescaled to have a maximum side length of 512 pixels.

Nutrition Information Source: Food Data Central API

• U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov.

Results

Demo

Visualization of different layers.

Contact

Nikhil Chakravarthy - Portfolio

References

• https://cspinet.org/eating-healthy/why-good-nutrition-important
• https://www.tensorflow.org/api_docs/python/tf/keras/applications/InceptionV3

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