🌐 Real-Time Language Translator Using Neural Machine Translation (NMT)

A web-based application that provides real-time text and voice translation between multiple languages (English, Hindi, Russian and other European languages) using Neural Machine Translation (NMT) models from Helsinki-NLP and Hugging Face Transformers.

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🚀 Features

• 🔁 Bidirectional translation: Between languages such as English, Hindi, Russian and European languages
• 🧠 NMT-based translation using MarianMT (Helsinki-NLP)
• 🎤 Speech-to-text input using Web Speech API
• 🔊 Text-to-speech output for translated text
• 🌍 Simple and responsive UI using HTML, CSS, JS
• 🧩 Backend built with Python & Django

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🧠 Model Details

• Transformer: MarianMT by Helsinki-NLP
• Translation direction: Between languages such as English, Hindi, Russian and European languages
• Model provider: Hugging Face Transformers

Example models used:

• Helsinki-NLP/opus-mt-en-hi
• Helsinki-NLP/opus-mt-en-de
• Helsinki-NLP/opus-mt-en-ru
• And reverse models like opus-mt-hi-en, etc.

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⚙️ Setup Instructions

1. 🐍 Create a Virtual Environment

python -m venv myenv

Activate:

• Windows: myenv\Scripts\activate
• macOS/Linux: source myenv/bin/activate

2. 📦 Install Dependencies

pip install django transformers torch sentencepiece

3. 🛠️ Run Migrations

python manage.py migrate

4. 🔥 Start the Development Server

python manage.py runserver
Now visit http://127.0.0.1:8000 in your browser.

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🖥️ Frontend

• HTML/CSS for layout and design
• JavaScript (Web Speech API) for microphone and speaker integration
• AJAX for async requests to the backend

🧰 Tech Stack

• 🧠 Hugging Face Transformers (MarianMT models)
• 🌐 Django (Backend)
• 🎤 Web Speech API (Speech-to-Text and Text-to-Speech)
• 🗄️ SQLite (Lightweight storage)

🙌 Author

• 👤 Poojith L
• 📫 Reach out on LinkedIn or check out more projects on GitHub