AI Translator: Speech and Test Translation Web App

Abstract

Language barriers often make it hard for people to communicate smoothly in areas like education, business, healthcare, and travel. This research introduces an AI-driven web app that helps with translating between multiple languages, supporting both spoken words and written text. It offers real-time translation and can turn the translated text back into speech. The system uses Google's Translation API, speech recognition technology, and text-to-speech (GTTS) through a Streamlit-based interface, making communication more natural and interactive. The app automatically detects the language, converts speech to text, translates the text, and then turns the translated text into speech. It supports over 100 languages and is easy to use through a simple web browser, so no special equipment is needed. Testing shows that the system works well for both short and long messages, providing accurate translations quickly while using few resources. This project shows a practical and easy-to-use way to build multilingual communication tools.