AI-Powered Video Conferencing App with Real-time Speech-to-Speech Machine Translation
| dc.contributor.author | NHCE | |
| dc.date.accessioned | 2024-11-12T10:51:50Z | |
| dc.date.available | 2024-11-12T10:51:50Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | In the contemporary landscape of communication, video conferencing has emerged as an indispensable tool for global interaction, revolutionizing the way individuals and organizations connect across vast distances. The proliferation of video conferencing platforms has enabled seamless collaboration, transcending geographical boundaries and fostering real-time dialogue among users. This technological advancement has facilitated everything from business meetings and educational sessions to social gatherings and telehealth consultations, making face-to-face interaction possible regardless of physical location. However, despite these advancements, a significant barrier persists: language differences. These linguistic obstacles can impede the free flow of ideas, hinder effective discourse, and ultimately limit the inclusivity and efficiency of virtual communication. Language barriers can lead to misunderstandings, reduce engagement, and prevent participants from fully contributing to discussions. Addressing this challenge is crucial for enhancing the accessibility and utility of video conferencing technologies, ensuring that they can truly serve a diverse, global audience by bridging the communication gap and fostering a more inclusive virtual environment. | |
| dc.identifier.uri | http://192.168.75.5:4000/handle/123456789/16251 | |
| dc.title | AI-Powered Video Conferencing App with Real-time Speech-to-Speech Machine Translation |