International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

Ai-enabled natural language processing solutions for multimodal translation

Author(s) S.Siddhartha, T.Arun Kumar, U.Purna Sudhakar, Dr.R.Sudhakar, Dr.V.Sai Shanmuga Raja
Country India
Abstract The rapid advancement of artificial intelligence (AI) and natural language processing (NLP) has significantly transformed how we interact with technology, particularly in the domain of language translation. The growing demand for real-time, accurate, and context-aware translation across various communication modes (text, speech, and visual) has fueled the development of multimodal translation applications. This project explores the integration of AI-enabled NLP solutions for a multimodal translation application, capable of processing input from multiple sources, including audio, text, and images, to provide seamless translation across different languages.
Keywords AutoML, Natural Language API, Healthcare Natural Language AI.
Field Engineering
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-04-03
Cite This Ai-enabled natural language processing solutions for multimodal translation - S.Siddhartha, T.Arun Kumar, U.Purna Sudhakar, Dr.R.Sudhakar, Dr.V.Sai Shanmuga Raja - IJSAT Volume 16, Issue 2, April-June 2025.

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