KUBO: (Record no. 28887)

MARC details
000 -LEADER
fixed length control field 02897nam a22003137a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240819144238.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240819b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency TUPM
Language of cataloging English
Transcribing agency TUPM
Modifying agency TUPM
Description conventions rda
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number BTH QA 76
Item number S84 2022
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Suerte, Jake Andrey F.
Relator term author
245 ## - TITLE STATEMENT
Title KUBO:
Remainder of title a mobile-based food planner and recipe app with object detection/
Statement of responsibility, etc. Jake Andrey F. Suerte, Lovelyn C. Tapales, Jerico C. Villariza, Marcial B. Zipagan jr. --
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Manila:
Name of publisher, distributor, etc. Technological University of the Philippines,
Date of publication, distribution, etc. 2022.
300 ## - PHYSICAL DESCRIPTION
Extent xii, 164pages:
Dimensions 29cm.
Accompanying material +1 CD-ROM (3/4in.)
336 ## - CONTENT TYPE
Source rdacontent
337 ## - MEDIA TYPE
Source rdamedia
338 ## - CARRIER TYPE
Source rdacarrier
500 ## - GENERAL NOTE
General note Thesis (undergraduate)
502 ## - DISSERTATION NOTE
Dissertation note College of Science--
Degree type Bachelor of Science in Computer Science:
Name of granting institution Technological University of the Philippines,
Year degree granted 2022.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliography.
520 ## - SUMMARY, ETC.
Summary, etc. 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<br/>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<br/>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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Vegetables
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Recipe generator
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Tapales, Lovelyn C.
Relator term author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Villaraza, Jerico C.
Relator term author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Zipagan jr., Marcial B.
Relator term author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Bachelor's Thesis COS
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Inventory number Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     TUP Manila Library TUP Manila Library Thesis Section-2nd floor 08/19/2024 BTH-5299   BTH QA 76 S84 2022 BTH0005299 08/19/2024 c.1. 08/19/2024 Bachelor's Thesis COS



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