Publication: Translator app: a mobile photo translator using the google cloud vision and tranlator API
| dc.contributor.author | Gagaza, Marc R. | |
| dc.contributor.author | Gayo, Cherrylyn G. | |
| dc.contributor.author | Guban, Jerson | |
| dc.contributor.author | Mondero, El John Claude E. | |
| dc.date.accessioned | 2025-08-16T07:23:12Z | |
| dc.date.available | 2025-08-16T07:23:12Z | |
| dc.date.issued | 2023-04 | |
| dc.description.abstract | This study aimed to develop Transla'Four App, which helps travelers overcome language barriers by identifying and translating objects and text in real-time using Google Cloud Vision and Translation APIs. The app was developed using descriptive and developmental research designs, and designed to be fully functional on Android devices naming version 9.0 or higher, with a minimum of 4GB RANI, a camera, and speaker. The app's features, including capturing images, detecting objects, extracting text, providing language translation, and delivering text-to-speech output, help users communicate with locals and navigate their surroundings more effectively. These features enhance user experience and could enable the app tofit/fill its intended purpose of bridging the language gap for tourists. Overall, the Transla'Iour App received excellent ratings with a 4.23 mean rating, making it a tool for facilitating communication and cultural exchange between tourists and locals. | |
| dc.identifier.citation | Gagaza, M. R., Gayo, C. G., Guban, J., & Mondero, E. J. C. E. (2023) Translatour app: a mobile photo translator using the google cloud vision and tranlator API [Unpublished Undergraduate thesis]. Don Mariano Marcos Memorial State University - South La Union Campus, Agoo, La Union. | |
| dc.identifier.uri | https://lakasa.dmmmsu.edu.ph/handle/123456789/229 | |
| dc.language.iso | en_US | |
| dc.publisher | Don Mariano Marcos Memorial State University - South La Union Campus | |
| dc.title | Translator app: a mobile photo translator using the google cloud vision and tranlator API | |
| dc.type | Thesis | |
| dspace.entity.type | Publication |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- UT-SLUC-2023-CCS-BSCS-GagazaM-FT.pdf
- Size:
- 21.21 MB
- Format:
- Adobe Portable Document Format
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed to upon submission
- Description: