Human Influences on Diet Knowledge on Food-Based Using Deep Learning

Project Code :TCMAPY952

Objective

The main objective of the study on "Human Influences on Diet Knowledge on Food-Based Using Deep Learning" is to explore how deep learning techniques can be utilized to analyze and understand the impact of human factors on individuals' knowledge about food-based diet choices, with the aim of uncovering insights to improve dietary education and decision-making processes.

Abstract

This study employs deep learning techniques to assess the impact of human factors on dietary knowledge and food journaling behaviors. By analyzing vast datasets, we identify patterns, correlations, and predictive models, shedding light on the intricate interplay between individual characteristics and dietary habits. Our findings underscore the potential of deep learning in understanding and optimizing nutritional choices and fostering healthier eating behaviors.

KEYWORDS: Deep Learning ,Diet Knowledge ,Food Journaling ,Human Influences

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