KUBO: a mobile-based food planner and recipe app with object detection/ Jake Andrey F. Suerte, Lovelyn C. Tapales, Jerico C. Villariza, Marcial B. Zipagan jr. --

By:

Suerte, Jake Andrey F [author ]

Contributor(s):

Material type: Text

TextPublication details: Manila: Technological University of the Philippines, 2022.Description: xii, 164pages: 29cm. +1 CD-ROM (3/4in.)Content type:

Media type:

Carrier type:

Subject(s):

LOC classification:

BTH QA 76 S84 2022

Dissertation note: College of Science-- Bachelor of Science in Computer Science: Technological University of the Philippines, 2022. Summary: The study, Kubo: A Mobile-Based Food Planner and Recipe App with Object Detection, is a mobile application developed to lessen the time spent by individuals on menu planning and scheduling by assisting both experienced and aspiring cooks to access a variety of cuisines, manage and observe proper mealtime, and help to keep track of foods that they eat. This study specifically aims to design a Food Planner and Recipe App with the following features: (a) AI model to detect ingredients belonging to the classes of Ampalaya, Carrot, Kamatis, Kangkong, Okra, Repolyo, Sayote, Sitaw, Talong, and Upo using user’s mobile camera; (b) Generate Menu schedule according to user’s time availability and the scanned available ingredients; (c) Custom menu schedule according to user’s preference; (d) Menu History for reference; and (e)Alarm Schedule based on Menu Schedule. The mobile application is developed using Flutter Framework with Dart Programming Language for its frontend, Visual Studio Code as an IDE, GCP for server hosting, Colab with TensorFlow 2.0 for AI Training, ExpressJS Framework, and NodeJS for the backend, and MongoDB and HIVE for the database. Before deployment, the developed mobile application undergone a series of Functionality and Portability Testing wherein results indicate that the designed features of the app effectively and efficiently perform its tasks and responsibilities. Also, the performance of the developed mobile application is evaluated in conformance to ISO 25010 where the system garnered an overall mean rating of 3.68 with a descriptive equivalence of “Highly Acceptable” indicating that the system successfully passes all the criteria given by ISO 25010.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Bachelor's Thesis COS	TUP Manila Library	Thesis Section-2nd floor	BTH QA 76 S84 2022 (Browse shelf(Opens below))	c.1.	Not for loan		BTH0005299

Thesis (undergraduate)

College of Science-- Bachelor of Science in Computer Science: Technological University of the Philippines, 2022.

Includes bibliography.

The study, Kubo: A Mobile-Based Food Planner and Recipe App with Object Detection, is a mobile application developed to lessen the time spent by individuals on menu planning and scheduling by assisting both experienced and aspiring cooks to access a variety of cuisines, manage and observe proper mealtime, and help to keep track of foods that they eat. This study specifically aims to design a Food Planner and Recipe App with the following features: (a) AI model to detect ingredients belonging to the classes of Ampalaya, Carrot, Kamatis, Kangkong, Okra, Repolyo, Sayote, Sitaw, Talong, and Upo using user’s mobile camera; (b) Generate Menu schedule according to user’s time availability and the scanned available ingredients; (c) Custom menu schedule according to
user’s preference; (d) Menu History for reference; and (e)Alarm Schedule based on Menu Schedule. The mobile application is developed using Flutter Framework with Dart Programming Language for its frontend, Visual Studio Code as an IDE, GCP for server hosting, Colab with TensorFlow 2.0 for AI Training, ExpressJS Framework, and NodeJS for the backend, and MongoDB and HIVE for the database. Before deployment, the developed mobile application undergone a series of Functionality and Portability Testing
wherein results indicate that the designed features of the app effectively and efficiently perform its tasks and responsibilities. Also, the performance of the developed mobile application is evaluated in conformance to ISO 25010 where the system garnered an overall mean rating of 3.68 with a descriptive equivalence of “Highly Acceptable” indicating that the system successfully passes all the criteria given by ISO 25010.

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer