END TO END MULTIMODEL LANGUAGE TRANSLATION SYSTEM FOR TEXT AND IMAGE DATA
Abstract
Beginning on a single device, translation happens without any web link needed, keeping everything selfcontained.From pictures, written words emerge through smart scanning powered by PaddleOCR's reading tools.Once seen, those words shift into another tongue via NLLB-200, a brain-like network trained in over 200 global languages.Context stays intact, even when meaning hinges on subtle clues nearby.Names of people or places?They remain untouched thanks to sound-based copying across alphabets.Not one piece travels onlineprocessing stays inside the machine itself.Privacy strengthens because nothing leaves the user's hands.Costs drop sharply since constant server access isn't demanded anymore.Even where signals fail, this setup keeps working just the same.Finding text works fine when pictures are clean and organized, yet messy outdoor shots like road signs trip it up.The way things stand now, this idea handles multiple languages in photos without needing the internet, doing so in a straightforward way.
Fields of Study & Subjects
Natural Language Processing Techniques
Handwritten Text Recognition Techniques
Translation Studies and Practices
Publication details
- Journal / source
- International Research Journal of Modernization in Engineering Technology and Science
- Publication date
- 16 March 2026
- Language
- EN