🌍 Automated Content Localization Platform

An AI-powered localization platform that adapts Text, Voice, and Visual Content for different languages, cultures, and regions using Generative AI, OCR, and Speech Processing.

This project was developed as a Mini Project (AIML) 2025-2026 using Flask, Gemini API, EasyOCR, Speech Recognition, and AI-based localization techniques.

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📌 Project Overview

The Automated Content Localization Platform helps users localize different types of content:

• 📝 Text Localization
• 🎤 Voice Localization
• 🖼️ Visual Localization

The system provides:

• AI-generated multilingual localization
• Region-specific cultural adaptation
• OCR-based text extraction from images
• Speech-to-Text and Text-to-Speech conversion
• Tone-aware content generation

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🚀 Features

✅ Text Localization

• Translate and localize text
• Supports multiple tones
• Region-aware adaptation
• AI-generated culturally relevant output

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✅ Voice Localization

• Upload audio files
• Speech-to-Text conversion
• AI localization processing
• Text-to-Speech generated localized audio

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✅ Visual Localization

• Upload image files
• OCR text extraction using EasyOCR
• Detect image context
• Generate localized captions and UI text
• Cultural notes generation

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🛠️ Tech Stack

Backend

• Python
• Flask

Frontend

• HTML
• CSS
• JavaScript
• Jinja2 Templates

AI Integration

• Google Gemini API

OCR & Image Processing

• EasyOCR
• Pillow (PIL)
• OpenCV

Voice Processing

• SpeechRecognition
• gTTS
• pydub

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📂 Project Structure

Automated-Content-Localization/
│
├── app.py
├── requirements.txt
├── README.md
├── .env
├── .gitignore
├── image.jpeg
├── activate.bat
├── library_list.txt
│
├── services/
│   ├── gemini_service.py
│   ├── voice_service.py
│   ├── visual_service.py
│   └── ocr_service.py
│
├── templates/
│   ├── home.html
│   ├── text.html
│   ├── visual.html
│   ├── voice.html
│   ├── result.html
│   └── feedback.html
│
├── static/
│   ├── css/
│   ├── uploads/
│   └── outputs/
│
├── instance/
│
└── Visual-Backend/

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⚙️ Installation Setup

1️⃣ Clone Repository

git clone <repository-link>
cd MINI_PROJECT_2Y-MAIN

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2️⃣ Create Virtual Environment

Windows

python -m venv venv
venv\Scripts\activate

Linux / Mac

python3 -m venv venv
source venv/bin/activate

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3️⃣ Install Dependencies

pip install -r requirements.txt

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🔑 API Configuration

This project uses the Google Gemini API for AI-based localization.

Create .env File

Create a .env file in the project root directory.

Example:

GOOGLE_API_KEY=your_gemini_api_key_here

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Get Gemini API Key

1. Visit: https://aistudio.google.com/app/apikey

2. Generate your API Key

3. Copy and paste it inside the .env file

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▶️ Run the Project

Start the Flask application:

python app.py

Open browser:

http://127.0.0.1:5000/

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🌐 Supported Modules

📝 Text Localization

Input

• Original Text
• Target Language
• Region / Culture
• Tone

Output

• Localized Text
• Cultural Adaptation

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🎤 Voice Localization

Input

• Audio File / Voice Recording
• Target Language
• Region
• Tone

Output

• Transcribed Text
• Localized Voice Output
• Generated Audio File

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🖼️ Visual Localization

Input

• Image Upload
• Optional Caption / UI Text
• Target Language
• Tone

Output

• Extracted OCR Text
• Localized Visual Caption
• Cultural Notes

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🎭 Supported Tones

Text Module

• Formal
• Casual
• Marketing
• Narrative
• Professional

Visual Module

• Formal
• Casual
• Professional
• Friendly

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🧠 Working Flow

Text Localization Flow

User Input
   ↓
Gemini AI Processing
   ↓
Localization Generation
   ↓
Cultural Adaptation
   ↓
Final Output

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Voice Localization Flow

Audio Upload
   ↓
Speech-to-Text
   ↓
AI Localization
   ↓
Text-to-Speech
   ↓
Localized Voice Output

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Visual Localization Flow

Image Upload
   ↓
OCR Text Extraction
   ↓
Image Context Understanding
   ↓
AI Localization
   ↓
Localized Visual Output

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📸 Preview

Home Page Preview

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🔍 Example Use Cases

• Educational content localization
• Voice translation systems
• Multilingual customer support
• Marketing localization
• Visual content adaptation
• Regional UI localization

---"# Automated_Content_Localization"