Date of Award
12-2022
Culminating Project Type
Starred Paper
Styleguide
apa
Degree Name
Computer Science: M.S.
Department
Computer Science and Information Technology
College
School of Science and Engineering
First Advisor
Maninder Singh
Second Advisor
Mark Petzold
Third Advisor
Shakour Abuzneid
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Keywords and Subject Headings
Tourism, Flutter SDK, Speech Recognition, Machine Translation
Abstract
The tourism industry is a trillion-dollar industry with many governments investing heavily in making their countries attractive enough to entice potential visitors. People engage in tourism due to different reasons which could range from business, education, leisure, medical or ancestral reasons. Communication between intending visitors and locals is essential, given the non-homogeneity that occurs across cultures and borders. In this paper, we focus on developing a cross-platform mobile application that listens to surrounding conversations, is able to pick certain keywords, automatically switch to the local language of its location and then offer translation capabilities to facilitate conversations. To implement this, we depend on the Google translate API for the translation capabilities of the application, starting with the English language as our base language. To provide the input (speech) for translation, we solely employ speech recognition software using the Speech-to-Text package available on Flutter. The output with the correct pronunciation (and local accent) of the translation is done with the Text-to-Speech package. If the application does not recognize any keywords, the local language can be determined using the geographical parameters of the user. Finally, we utilize the cross-platform competence of the Flutter software development kit and the Dart programming language to build the application.
Recommended Citation
Eze, Tobenna, "Effective Detection of Local Languages for Tourists Based on Surrounding Features" (2022). Culminating Projects in Computer Science and Information Technology. 40.
https://repository.stcloudstate.edu/csit_etds/40
Comments/Acknowledgements
I would like to sincerely thank my advisor Dr. Maninder Singh, for his guidance, mentorship, and whose expertise in the subject matter provided clarity for me and helped make this work a reality. I would like to express my immense gratitude to the members of the committee, Dr. Mark Petzold and Dr. Shakour Abuzneid, whose input and positive feedback contributed a great deal to achieving this work.
A special thanks goes to the Dean of the faculty of Computer Science and Information Technology (CSIT), Dr. Ramnath Sarnath, and every faculty member for their contributions to my academic development and competence. I would also like to extend my gratitude to Mr. Clifford Moran, for his continuous and invaluable help throughout the entirety of my program with registration of classes, scheduling meetings etc.
Finally, I also want to thank my parents, Mr. Nnaemeka and Dr. Nkechi Eze for their continuous prayers, support, and words of encouragement towards my success and goals. I also want to thank my friends for their help in completing this work timely.