Lang-d-t

Language Detection and Translation Web Application

Overview

This project is a web application that utilizes Natural Language Processing (NLP) techniques to detect the language of input text and translate it into a target language. Built using Python and the Gradio framework, the application provides a user-friendly interface for seamless interaction.

Features

• Language Detection: Automatically identifies the language of the input text using a trained machine learning model.
• Real-time Translation: Translates detected text into a user-selected target language using the Google Translate API.
• User-Friendly Interface: Developed with Streamlit, providing an intuitive and interactive experience for users.
• Support for Multiple Languages: Supports a wide range of languages for both detection and translation.

Technologies Used

• Python: The primary programming language for the application.
• Gradio: Framework for building the web application interface.
• scikit-learn: Library for machine learning, used for training the language detection model.
• NLTK: Natural Language Toolkit for text preprocessing.
• googletrans: Library for accessing the Google Translate API for translation services.
• pandas: Library for data manipulation and analysis.