🌍 AI-Powered-Multi-Language-Translator

AI-Powered-Multi-Language-Translator is a web-based multilingual translation application built using Streamlit and Google Gemini AI. It allows users to translate text between multiple languages with clean, strict outputs and accurate name transliteration.

---

🚀 Features

• 🌐 Translate text between multiple languages
• ✍️ Strict translation output (only target language, no explanations)
• 👤 Correct name transliteration (English → Hindi / Telugu / others)
• ⚡ Powered by Google Gemini Flash model
• 🛡️ Quota-safe using caching
• ❌ No unwanted English / Roman text in output
• 🎨 Clean and simple Streamlit UI

---

🛠️ Tech Stack

Layer	Technology
Frontend	Streamlit
AI Model	Google Gemini (gemini-flash-latest)
Backend	Python
SDK	google-genai
Styling	Streamlit Theme (config.toml)

---

📁 Project Structure

AI-Powered-Multi-Language-Translator/
│
├── app.py
├── requirements.txt
├── README.md
└── .streamlit/
    └── config.toml

---

🔑 Prerequisites

• Python 3.9 or higher
• Google Gemini API Key 👉 https://aistudio.google.com

---

⚙️ Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/srinidhi-2006-bit/AI-Powered-Multi-Language-Translator.git
cd AI-Powered-Multi-Language-Translator

---

2️⃣ Create Virtual Environment (Recommended)

python -m venv venv

Activate:

Windows

venv\Scripts\activate

Mac / Linux

source venv/bin/activate

---

3️⃣ Install Dependencies

pip install -r requirements.txt

---

4️⃣ Add Environment Variables

Create a .env file in the project root:

GEMINI_API_KEY=your_api_key_here

5️⃣ (Optional) Streamlit Theme

.streamlit/config.toml

[theme]
primaryColor = "#4F46E5"
backgroundColor = "#EEF2FF"
secondaryBackgroundColor = "#EEF2FF"
textColor = "#1F2937"
font = "sans serif"

---

▶️ Run the Application

streamlit run app.py

Open in browser:

http://localhost:8501

---

🧪 Example Usage

Input

srinidhi

Output (English → Hindi)

श्रीनिधि

Output (English → Telugu)

శ్రీనిధి

✔ Only target language ✔ No explanations ✔ No Roman letters

---

🧠 How It Works

• Uses Gemini Flash model for free-tier compatibility
• Enforces strict prompt rules for clean output
• Uses Streamlit caching to reduce API usage
• Gracefully handles 429 quota errors

---

⚠️ API Quota Note

Google Gemini free tier has limited daily requests.

Tips:

• Avoid frequent page refreshes
• Cached translations do not consume extra quota
• If limit is reached, wait and retry later

---

🏆 Use Cases

• Multilingual text translation
• Indian language name transliteration
• Academic & hackathon projects
• AI project for resume / portfolio

---

🔮 Future Enhancements

• 🔄 Auto language detection
• 🎤 Voice translation
• 📋 Copy translated text
• 🌙 Dark / Light mode toggle
• 🌐 Cloud deployment