Inspired by Douglas Adams’ “The Hitchhiker’s Guide to the Galaxy,” the Babel Fish metaphorically represents a tool that transcends language barriers. In this project, I created a voice translation assistant using Watsonx and IBM Watson Speech Libraries, aiming to revolutionize communication by providing seamless translations.
Project Overview: The project involved several key steps:
- Implementing Speech-to-Text Functionality: Enabled the assistant to understand voice input using IBM Watson’s speech libraries.
- Integrating Watsonx’s flan-ul2 Model: Utilized this model to translate text into multiple languages, ensuring accurate and context-aware translations.
- Developing Text-to-Speech Functionality: Allowed the assistant to communicate with users through synthesized speech in the target language.
- Building the User Interface: Created a responsive and intuitive front-end using HTML, CSS, and JavaScript.
- Deploying the Assistant: Ensured the assistant is accessible on a web server for broader use.
Learning Outcomes:
- Gained expertise in speech-to-text and text-to-speech technologies.
- Developed skills in AI-powered translation and natural language processing.
- Built a comprehensive full-stack application with a seamless user experience.
- Enhanced my understanding of web development using Python, Flask, HTML, CSS, and JavaScript.
Completing this project has been a fascinating journey into the world of AI and language translation. The Babel Fish voice translator showcases the potential of AI to bridge communication gaps, making interactions more accessible and inclusive. I look forward to continuing my exploration of AI technologies and their applications in real-world scenarios.