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The document discusses a deep learning approach using Convolutional Neural Networks (CNN) to estimate the calorie count of food items from images, addressing the challenge of calorie tracking in busy lifestyles. This system aids individuals in maintaining a healthy diet by enabling informed food choices and tracking nutritional goals. The paper outlines the methodology, advantages, and future work related to this innovative solution.

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Sahil Kesarkar
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3 views2 pages

Absfinal Removed

The document discusses a deep learning approach using Convolutional Neural Networks (CNN) to estimate the calorie count of food items from images, addressing the challenge of calorie tracking in busy lifestyles. This system aids individuals in maintaining a healthy diet by enabling informed food choices and tracking nutritional goals. The paper outlines the methodology, advantages, and future work related to this innovative solution.

Uploaded by

Sahil Kesarkar
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Food Calorie And Nutrition Detection Using ML

ABSTRACT

In today's fast-paced and work-centric lifestyle, maintaining good health has become a
significant concern. People often struggle to find time for themselves, leading to an increasing
reliance on quick and convenient meals. As a consequence, keeping track of calorie intake has
become a challenging task. To address this issue, our Paper focuses on using deep learning
techniques to calculate the approximate calorie count of a food item from an input image. The
core of this Paper is a Convolutional Neural Network (CNN) that identifies the food item
present in the input image. Once the food is recognized, the system automatically calculates the
number of calories associated with that particular item.
This innovative system is particularly beneficial for individuals who aim to follow a strict and
healthy diet. By accurately tracking their calorie intake, they can stay on top of their nutritional
goals and maintain their fitness effectively. With this solution, people can make informed food
choices, even amidst their busy schedules, promoting a healthier lifestyle overall.

Dept of CSE, JCE Belagavi


Food Calorie And Nutrition Detection Using ML

TABLE OF CONTENTS

Sl.No Chapter Description Page Number

1. Introduction 1-3

2. Literature Survey 4-5

3. System Design / Methodology 6-7

Advantages and Disadvantages 8


4.

Conclusion and Future Work 9-10


5.

6. References 10

Dept of CSE, JCE Belagavi

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