AI Powered Language Translator
Kanchana M
Assistant Professor, Department of Computer Science and Engineering,
SNS College of Engineering Coimbatore, India.
Karthik.k.cse@snsce.ac.in
Hrithik raj R
Student, Department of Computer Science and Engineering,
SNS College of Engineering Coimbatore, India hrithikkrish1828@gmail.com
Balavishnu G Student, Department of Computer Science and
Engineering,
SNS College of Engineering Coimbatore, India.
Balavishnu1023@gmail.com
Santhosh M
Student, Department of Computer Science and Engineering,
SNS College of Engineering Coimbatore, India. santhoshms238@gmail.com
Deepak Raj M M Student, Department of Computer Science and Engineering,
SNS College of Engineering Coimbatore, India. draj88447@gmail.com
Abstract
The Real-Time Language Translator is an innovative voice recognition-based tool designed to bridge communication barriers by providing seamless, real-time language translation. Utilizing advanced speech recognition and text- to-speech technologies, the bot functions as a virtual interpreter, enabling users to translate spoken words into their desired language with high accuracy and natural fluency.
Built with a Python-based technology stack, including Google Text-to-Speech (GTTS), Speech Recognition, Googletrans, and Streamlit, the tool ensures efficient and user-friendly interaction. Integration with Pygame enhances the audio processing experience, delivering clear and precise translations.This solution is particularly useful in multilingual environments, such as international business meetings, travel, and educational settings, where instant communication is essential. By eliminating the need for manual translation, the bot significantly reduces language barriers and promotes global connectivity.With a lightweight and intuitive interface powered by Streamlit, users can operate the translator with minimal effort. Whether for professional or personal use, the Real-Time Language Translator Bot is a step forward in enhancing global communication, making language differences less of a challenge in our increasingly interconnected world.
Keywords:
Real-Time Language Translation, Speech Recognition, Text- to-Speech, Googletrans, AI-powered Translator, Multilingual Communication
