FOODINDAHUD

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Abstract -"FoodinDaHud" is a project conceptualised with the aim of giving users recipe-level control over what they want to eat in a particular dish. Users can create, share, and use other people's recipes on this platform. Also, this platform provides in-depth nutrition details for a particular food ingredient and the overall dish. This project consists of a mobile application capable of running on both Android and iOS. This project is designed to be the easiest way to control what we eat and doesn't eat in a particular food dish.

Key Words: Online platform, nutritional analysis, diet & healthregulation,foodservice,nutritiondatarepository.

1. INTRODUCTION

“FoodInDaHud”is an online platformspecificallydesigned to raise food nutritional standards and motivate people to eat healthily. This project consists of two main types of interactions. Firstly it acts as a repository of recipes created by the community, offering detailed nutritional insights,andgivingusersaccesstoalibraryofhealthyand nutritious recipes, and detailed nutrition information for specific food ingredients and dishes. Secondly, it acts as a foodchainwhereuserscanbrowsetheserecipesandhave them made locally and delivered to them. The lack of customization options offered by current Quick Service Restaurants (QSR) denies customers their freedom of choice. FoodInDaHud seeks to reclaim this option for individuals and to inform people about the importance of makinginformeddietarydecisions.

1.1 Need

The rising need for healthy food options is one of the primary needs. There is an increasing need for tools that canassistpeopleinmakingeducateddecisionsabouttheir diet as they become more health-conscious and aware of theeffectsoffoodontheiroverallwell-being.Theideacan alsosatisfytheneedformorecontrol overtheingredients in our food. Many people are worried about the quality of the food they eat and want the option to alter their meals to accommodate their dietary preferences and requirements. A platform that offers precise and thorough nutritional data for certain food components and dishes is

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also required. It can be challenging for consumers to know whattobelieveandhowtomakeinformeddecisionsabout their diet when there is so much contradictory nutrition information available online. Overall, the FoodinDaHud projectcanhelpmeetthesedemandsbygivingusersaccess to a library of wholesome and nutrient-dense recipes, recipe-level control over their meals, andcomprehensive nutritioninformationforparticularfooditemsanddishes.

2. APPLICATION

The platform is intended to be simple and user-friendly, with a simple and intuitive interface that anyone can use. FoodInDaHud offers a variety of recipes and resources to assistyouin creating healthyand delicious meals, whether you're a highly experienced home cook or a newbie in the kitchen. The system has been developed to serve as a food & nutrition repository driven by the community. This repositoryisadatastorethatcanbeusedtosimplybrowse and gather information on commonly made dishes,and/or tohavethemmadelocally.Allthisisprovidedinanintuitive interface,makingitapleasantexperiencefortheusertoget into nutritional details and build a healthy diet for themselves without getting overwhelmed and exhaustedin trying to manually find all this data. Each user can contribute to the community by sharing a unique recipeor amodificationofanother’srecipe.

3. LITERATURE SURVEY

Numerous articles have been reviewed and their conclusionsaresummarisedinthissection.Documentsthat werelookedatbothbeforeandduringprojectdevelopment are presented in this section. The documents provided a better understanding of existing solutions and how the systemarchitecturecanbedesignedforoptimalquality.

1. “A Food Recommender System Considering Nutritional Information and User Preferences”

Thefirstpaperweexaminedistitled"A Food Recommender System considering Nutritional Information and User Preferences" published in theIEEE Journal in 2019. This

Volume: 10 Issue: 04 | Apr 2023

paper goes into detail on building an intelligent meal plan recommendation system that gathers and profiles nutritional data according to the user’s nutritional requirements.Thisdataisprocessedthroughanintelligent layer that identifies food sources that can fulfil the user’s nutritionalrequirementsand generatesacustomisedmeal plan for the user. It uses AHPSort to classify foods as appropriateorinappropriatefortheuser.

2. “Personalised Nutrition Recommendation in Food services” by Katerina Giazitz, Vaios T. Karathanos&George Boskou

Thesecondpaper, "Personalised Nutrition Recommendation in Food Services" is a study conducted in 2020. This paper discusses the implementation of an application for restaurant menus called Electronic Intelligent System of Personalized Dietary Advice, or "DISYS". By taking into account the user's personal nutritional profileand health considerations, it recommends healthier options on restaurant menus. This paperalso includes a report that describes a survey of DISYS users which found that, although subtly raising the population's nutritional standards, more than 40% of respondents were satisfied withthefoodrecommendationsofferedbyDISYS.

3. “KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks” by Donghyeon Park, Keonwoo Kim, Yonggyu Park, Jungwoon Shin, JaewooKang

The third research paper we reviewed is titled "KitcheNette: Predicting and Recommending Food Ingredient Pairings Using a Siamese Neural Network." published in 2019. This paper focuses on how to use Siamese neural networks to give recommendations and predict food ingredients based on the similarity of two input ingredients. This paper also includes how they trainedtheirmodelbasedonexistingdatasets.

● Quick Service Restaurants

QuickServiceRestaurants(QSRs)likeMcDonald's, KFC, Subway, etc. serve pre-made meals that are typically not very customisable and have no information listed regarding their nutritional values.

●

HealthifyMe

Designedforthemobileplatform,HealthifyMeisa diet and fitness tracker that enables users to log their daily calorie intake as well as their diet. It also enables users to query nutritional data on popularfoodproducts.

● Manually logging and querying

from the web

nutrition data

The majority of consumers still use online nutritional data search engines andeitherconsult nutritionistsorcreatetheirmanualmealplanning. Finding complete foods that have these elements in the right amounts requires searching for each ingredient's nutritional benefits, which takes sometime.Thereisapotentialthatsomeofthese ingredientswon'tbeaccessiblelocally.

5. PROPOSED SYSTEM

2: ProposedSystem

The FoodInDaHud systemthatisbeingproposedwillhave the following features: First, it will consist of a Recipe Browser that will be used to create, share, modify, and delete recipes from the community. The second feature, Nutrition Profiler, is the heart of the entire application, generating recipe recommendations based on the user’s nutritional preferences. The third feature is the Nutrition Query Engine,whichisusedtoretrievecompletenutrition details for any particular ingredient. The last feature is Order & Delivery, which allows the user to order the recipes,trackdeliveries,andmakepayments.

6. ARCHITECTURE

Fig - 3: Architecture

Thearchitecturehas2maincomponents:

● BackendAPI

● MobileApplication

Theprojectisdividedinto4mainmodules:

➔ Recipe Browser

This module consists of the interface that deals with the creation, modification, sharing and deletion of recipes from the community repository.

➔ Nutrition Profiler

The profiler is the module which takes in the user’s nutrition preferences and health factors and is responsible for generating dish recommendations attuned to the user’s preferences.

➔ Nutrition Query Engine

The query engine is part of the application that allows the user to freely query any ingredient with in-depth nutritional data. It presents the datainanintuitive&consistentwayallowingthe user to not get overwhelmed by information. It uses an external API to query nutritional information.

➔ Order & Delivery

Order & Delivery is the module that allows the usertoordertherecipes,trackdeliveries&make payments.

7. METHODOLOGY

7.1.

Recipe Browser

Recipe Browser is the first core interface. This interface consists of two main views. The first view is the Listing View, wherein a user can searchand access all the recipes created onourapp. Userscanexplorevarious recipesthat havebeencreatedbythecommunity.Theycanalsosearch forrecipesbytheingredientsinthem.Bydefault,thisview will render recipes based on users' personalized nutrition preferences. The Second part of the Recipe Browser is Recipe Editor. Recipe Editor is the main interface that enables the creation, modification and deletion of recipes. A user can also clone a community recipe and can make a personalised version of it according to his nutritional preferences.

7.2. Nutrition Profiler

The Nutrition Profiler is the heart of the entire application. This module is responsible for generating

recommendations based on the user's preferences. The profiler consists of the user's nutrition configuration. This configuration can be changed anytime by the user according to their dietary goals. The profiler uses this configuration to compute and match the recipes in which the ingredient proportions are exactly or approximately closetotheuser’srequirednutritionconfiguration.

7.3. Nutrition Query Engine

The Nutrition Query Engine isthemoduleresponsiblefora user retrieving the complete nutrition details of a particular ingredient; the user can simply type the ingredient name to get allthe details of it. A user can also filter and retrieve the ingredient list based on the nutritionalvaluesoftheingredients.

7.4. Order & Delivery

Order & Delivery is the section that deals with the processing of orders and tracking of deliveries. This is the infrastructure side of the concept that deals with ordering therecipesfromtheplatformtohavethempreparedlocally and have it delivered to the user. This side of the application includes payments, delivery tracking, and an outletlocator.

International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056

Volume: 10 Issue: 04 | Apr 2023 www.irjet.net p-ISSN:2395-0072

8. FUURE SCOPE

FoodInDaHud can expand its platform by incorporating advanced data analytics and artificial intelligence to offer more personalised meal plans and dietary recommendations. The platform can collaborate with healthcare providers and fitness experts to provide users with a holistic approach to their health and well-being. Moreover, FoodInDaHud can integrate gamification techniquestoengageandmotivateuserstomakehealthier foodchoices,whilealsoprovidingincentivestouserswho reachtheirdietarygoals.

FoodInDaHud can also expand its services to cater to specialdietaryrequirements,suchasvegan,gluten-free,or keto diets. It can collaborate with local suppliers and farmers to promote locally sourced and sustainable food options that align with users' dietary needs and preferences.

Additionally, users can add a new recipe by speaking through their phone instead of typing the entire recipe. This will save users time by efficiently adding the new recipethroughvoicerecognition.

Overall, FoodInDaHud has the potential to become a leading online platform that promotes healthy eating habits, which informs users about the importance of making informed dietary decisions and helps individuals achievehealthierlifestyles.

9. CONCLUSION

FoodInDaHud is an online platform that aims to improve people'snutritionandencouragehealthyeatinghabitsby providing a community-driven database of healthy recipesand detailed nutritional information. Additionally, itoffers a fooddelivery serviceforuserstoorderlocallymade healthy meals. FoodInDaHud seeks to empower individualswiththefreedomofchoicethatisoftenabsent in traditional quick-service restaurants, while also educatingthemabouttheimportanceofmakinginformed dietarydecisions.Inconclusion,FoodInDaHudprovidesa uniqueandholisticapproachtopromotinghealthyeating habits by combining an online recipe repository with a convenientfooddeliveryservice.

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