DESIGN AND IMPLEMENT AN ARTIFICIAL INTELLIGENCE DIETITIAN WITH PYTHON

CHAPTER ONE

INTRODUCTION

Overview

Recent estimates suggest that poor dietary habits are linked to one in five early deaths globally (Afshin et al., 2019). Tackling this societal challenge in the field of dietetics will demand a significant investment in human resources. As per the World Health Organisation, there is a significant shortage of healthcare workers at present, and this shortage is projected to grow in the upcoming decades (Sladdin et al., 2017). It's crucial to grasp how new technologies and digital tools can enhance the impact of dietetics. This will generate value not just for the individual patient, but also as a scalable method to assist individuals in enhancing their dietary habits and transitioning to a service focused on prevention and self-care.

Emphasising patient-centered care is fundamental in contemporary dietetics practice (Kanter & Desrosiers, 2019). An essential principle of this approach involves tailoring guidance to meet the unique needs of each patient and focusing on treating the patient rather than just the disease (Ordovas et al., 2018). Furthermore, personalisation has emerged as a recent trend in the consumer nutrition and wellness sector (Adams et al., 2020). There are many apps, programmes, platforms, and plans designed to provide personalised user experiences by analysing various aspects of an individual's life. Various definitions have been proposed for personalised nutrition, some focusing on genetic variations while others encompass broader aspects such as phenotypic, psychosocial, and behavioural factors of customisation. For this project, I focused on designing and implementing an artificial intelligence dietitian using Python to encourage dietary behaviour change for potential health benefits.

 

​​​​​​​Statement of the problem

Developing a detailed profile of the individual is the first step in the design process, which is accomplished via the use of Python and data analysis. This profile contains the individual's lifestyle, in addition to their food preferences, medical history, and health aspirations. On the basis of this data, the artificial intelligence system meticulously constructs algorithms in order to generate well-supported beneficial plans that correspond to the user's objectives. Whether it be the management of weight, the improvement of well-being, or the fulfilment of particular medical requirements, the system serves as a supporting companion on the path to improved health.

This design, on the other hand, goes beyond the development of simple recommendations. Interactivity and engagement are reflected in it, and it offers a user-friendly interface through which individuals can submit their information and receive intelligent responses in real time. Individuals are able to seek instruction, ask questions, and receive rapid feedback when natural language processing is utilised. This enables meaningful interactions through the utilisation of natural language processing. Furthermore, the ramifications of its design extend far beyond the confines of its precise limitations. It makes it possible for individuals to take control of their dietary decisions, which in turn encourages healthier lifestyles and an overall improvement in well-being.

This design serves as a connection between the rapidly expanding field of artificial intelligence and the science of nutrition, which is of critical importance. In addition to facilitating the generation of well-informed judgements, it also establishes a connection between individualised health practices and the digital era. A smooth trip is the focus of this design, which explores the intersection of cutting-edge technology and the optimisation of an individual's health condition. It depicts a bright future in which self-assurance and vigour are widespread, and in which everyone has access to cutting-edge artificial intelligence in order to embark on a journey towards long-term health. This design marks the beginning of a new era, one in which the partnership of artificial intelligence and nutrition will have a significant impact on the future of health for many generations to come.

 

​​​​​​​Aim and objectives

The aim of this study is to design and implement an artificial intelligence dietitian with python that will better improve the quality of choices users make.

 

​​​​​​​Significance of the study

In this modern era, where technology seamlessly integrates with our daily lives, the concept of a "Artificial Intelligence-Grounded Dietician" emerges as an innovative idea set to revolutionise the fields of nutrition and health. This design combines cutting-edge artificial intelligence with fundamental principles of wisdom. The aim is to create a significant change that will revolutionise how people engage with their nutritional health. This design aims to address a common problem faced by many individuals - the need for reliable and expert advice that brings value. Deciphering the complexities of nutrition and creating a personalised diet to meet individual health needs can be challenging in a world filled with information. Even though traditional dietitians are incredibly valuable, they might face challenges in growing their client base due to various constraints. The design emerged as a groundbreaking invention, offering a digital dietician that is smart and user-friendly, harnessing the power of artificial intelligence to its full potential.

 

​​​​​​​Scope and limitation

This system will be coded using python language. This is different from previous systems that have been designed and implemented using other forms of programming languages. The aim is not to do something different but to improve on existing system using a different method.