Advanced International Journal of Material Science and Engineering (AIJMSE)

INNOVATIONS IN CULINARY EXPLORATION: AI-ENHANCED FOOD RECIPE SEARCH TECHNIQUES

Authors

  • Lina Nurfitriana Iskandar Department of Informatics Engineering, LPKIA Institute of Digital Economics, Bandung, Indonesia
  • Rizky Fauzi Nugraha Department of Informatics Engineering, LPKIA Institute of Digital Economics, Bandung, Indonesia

Abstract

This research aims to develop a mobile application for Android devices that provides users with diverse food recipes and cooking tips using Artificial Intelligence (AI) techniques. A recipe is a set of instructions that yield specific food items, with the flexibility to modify and adjust the ingredients based on individual preferences [1]. Food, being an essential human necessity, offers a wide range of ingredients and flavor variants available in various food menus [2]. Access to food recipe information plays a pivotal role in enabling communities to prepare a variety of dishes on a daily basis [3]. As mobile phones, particularly Android-based ones, are becoming ubiquitous, users can conveniently access desired recipe information through culinary applications [4].

Existing culinary applications already offer extensive information on different food recipes and even allow individuals to save their preferred ingredients from existing recipes [5]. This research draws inspiration from two previous application designs [6] and [2], aiming to combine their functionalities to design an Android-based mobile application. Syahputra's mobile application design (2020) focuses on providing users with recipes for authentic Indonesian dishes along with cooking tips. Similarly, Yoga's recipe search application design (2021) shares the objective of assisting users in searching for food menus based on specific ingredients they wish to use.

The proposed mobile application aims to integrate the strengths of both designs, incorporating AI techniques like MobileNet SSD modules and Tiny YOLOv2 for photo recognition to extract recipes from food ingredients. By leveraging AI capabilities, users can simply capture an image of the available ingredients, and the application will provide relevant recipes and cooking instructions based on the identified components. This innovative approach simplifies the process of finding suitable recipes and enhances the culinary experience for users.

In conclusion, this research presents a novel Android mobile application that utilizes AI-based image recognition to retrieve recipes from given food ingredients. By blending the features of two previous designs [6] and [2], the application offers users an extensive collection of diverse food recipes and tips for preparing delicious meals. The integration of AI technology aims to revolutionize the way people engage with food recipes, making the culinary experience more accessible and enjoyable.

Keywords:

Recipe, Food, Artificial Intelligence, MobileNet SSD, Tiny YOLOv2, Culinary experience

Published

2023-10-24

How to Cite

Iskandar, L. N., & Nugraha, R. F. (2023). INNOVATIONS IN CULINARY EXPLORATION: AI-ENHANCED FOOD RECIPE SEARCH TECHNIQUES . Advanced International Journal of Material Science and Engineering (AIJMSE), 7(3), 12–20. Retrieved from https://zapjournals.com/Journals/index.php/aijmse/article/view/1347

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