README.md

---
title: Beta
emoji: 🐢
colorFrom: blue
colorTo: yellow
sdk: static
pinned: true
license: mpl-2.0
short_description: চা খাবা?
---
<div align="center">
  <img src="https://cdn-avatars.huggingface.co/v1/production/uploads/67497128927b345d1345e9de/69fZeWPoXB20L7do9nZDY.png" width="300" alt="Shôbdhonic Logo">
  
  # শব্দনিক | Shôbdhonic
  
  ### **বাংলা NLP-এর নতুন যুগ**  
  *"ভাষাকে জানো, AI-কে চেনো!"*  
  *(Unlock Bangla's Future with AI)*  
  
  [![Website](https://img.shields.io/badge/Explore-Shobdhonic.com-6A5ACD?style=for-the-badge&logo=google-chrome)](https://shobdhonic.com)
  [![Discord](https://img.shields.io/badge/Chat_on-Discord-5865F2?style=for-the-badge&logo=discord)](https://discord.gg/shobdhonic)
  [![Twitter](https://img.shields.io/badge/Follow-@Shobdhonic-FF69B4?style=for-the-badge&logo=twitter)](https://twitter.com/Shobdhonic)
  [![Telegram](https://img.shields.io/badge/Join-Telegram-26A5E4?style=for-the-badge&logo=telegram)](https://t.me/Shobdhonic)
  [![GitHub](https://img.shields.io/badge/Star_on-GitHub-181717?style=for-the-badge&logo=github)](https://github.com/Shobdhonic)
  [![HuggingFace](https://img.shields.io/badge/Models-HuggingFace-FFD21E?style=for-the-badge&logo=huggingface)](https://huggingface.co/Shobdhonic)
</div>

---

## 🚀 **Why Shôbdhonic?**
A **next-gen Bangla NLP platform** built for:  
- 🔥 **Gen-Z Creators**: Meme generators, slang translators, TikTok/Reels integrations  
- 🏢 **Enterprises**: Sentiment analysis, fraud detection, document processing  
- 🇧🇩 **Cultural Preservation**: Digitize literature, dialects, and oral histories
- 🧠 **Research**: Advanced Bangla language models, transformer architectures, and fine-tuning pipelines
- 🌐 **Web3**: Blockchain integration for digital Bangla content authentication

---

## ✨ **Key Features**

| **Category**          | **Tools**                                                                          |
|-----------------------|------------------------------------------------------------------------------------|
| **Gen-Z Playground**  | `MemeGPT` • `Slang Translator` • `AI Rap Generator` • `Voice Filters` • `TikTok Content API` |
| **Enterprise NLP**    | `Legal Doc Analyzer` • `News Sentiment API` • `Plagiarism Checker` • `Customer Service Bot` • `Bangla Data OCR` |
| **Voice Lab**         | `Celebrity Voice Cloning` • `Regional Accent TTS` • `Audio Transcription` • `Dialect Analysis` • `Emotion Detection` |
| **Real-Time AI**      | `Trend Predictor` • `Social Media Pulse` • `Ittefaq News Scanner` • `Market Sentiment Analysis` • `Election Opinion Tracker` |
| **Academia**          | `Literature Analysis` • `Academic Paper Assistant` • `Educational Content Generator` • `Bangla Research Corpus` |
| **Security Suite**    | `Bangla Fraud Detection` • `Phishing Text Analysis` • `Disinformation Tracker` • `Financial Alert System` |

---

## 🎯 **Core Technologies**

### **Models Architecture**
- **ShobdhoBERT**: Transformer-based model trained on 5TB of Bangla text corpus
- **ShobdhoGPT-3.5**: GPT-based generative model fine-tuned on diverse Bangla content
- **DialectDiffusion**: Voice synthesis specialized for regional Bangla dialects
- **BanglaLLM-7B**: Large Language Model optimized for Bangla instruction following
- **Multimodal-Bangla**: Vision-language model for Bangla image-text understanding

### **Data Processing Pipeline**
- Proprietary text normalization for Bangla script variations
- Context-aware slang detection and interpretation
- Real-time news corpus analysis with automated categorization
- Specialized tokenization for Bangla script with compound word handling
- Advanced sentiment analysis for cultural nuances

---

## 🎨 **Brand Identity**
### **Colors**
| Role          | Hex       | Preview                |
|---------------|-----------|------------------------|
| Primary       | `#6A5ACD` | ![#6A5ACD](https://placehold.co/50x30/6A5ACD/6A5ACD.png) |
| Secondary     | `#FF69B4` | ![#FF69B4](https://placehold.co/50x30/FF69B4/FF69B4.png) |
| Accent        | `#00FFE0` | ![#00FFE0](https://placehold.co/50x30/00FFE0/00FFE0.png) |
| Dark Mode     | `#1A1A2E` | ![#1A1A2E](https://placehold.co/50x30/1A1A2E/1A1A2E.png) |
| Light Mode    | `#F5F5F7` | ![#F5F5F7](https://placehold.co/50x30/F5F5F7/F5F5F7.png) |

### **Mascot**
**বর্গী বট (Borgi Bot)** – Our street-smart AI mascot for Gen-Z campaigns:  
![Borgi Bot](https://png.pngtree.com/png-vector/20220624/ourmid/pngtree-chicken-logo-vector-illustration-template-vintage-design-meat-vector-png-image_37354522.png)  

---

## ⚡ **Quick Start**
### **Prerequisites**
- Python 3.10+ / Node.js 18+
- Hugging Face API Key (Register [here](https://huggingface.co/Shobdhonic))
- Docker (optional, for containerized deployment)
- GPU acceleration (recommended for model training/inference)

### **Installation**

```bash
# Clone repo
git clone https://github.com/Shobdhonic/core-engine.git
cd core-engine

# Create virtual environment
python -m venv shobdhonic-env
source shobdhonic-env/bin/activate  # On Windows: shobdhonic-env\Scripts\activate

# Install dependencies (Python)
pip install -r requirements.txt

# Or for Node.js
npm install

# Set up environment variables
cp .env.example .env
# Edit .env with your API keys
```

### **Docker Setup**
```bash
# Build the Docker image
docker build -t shobdhonic:latest .

# Run the container
docker run -p 8000:8000 -v $(pwd):/app --env-file .env shobdhonic:latest
```

### **Generate Your First Meme**
```python
from shobdhonic import MemeMaster

# Initialize with your API key
meme_api = MemeMaster(api_key="your_api_key_here")

# Create a meme with custom text and template
meme = meme_api.create(
    text="একটা চা আর হয়না? ☕", 
    template="cha_kaku",
    style="viral",  # Options: viral, minimal, dramatic, retro
    font="bangla_classic",
    format="jpg"  # Options: jpg, png, gif, mp4
)

# Save the meme
meme.download("output/cha_kaku_meme.jpg")

# Share directly to social media
meme.share(platform="facebook")  # Options: facebook, twitter, instagram, whatsapp
```

### **Advanced Voice Cloning**
```python
from shobdhonic import VoiceForge
import numpy as np

# Initialize voice engine
voice_api = VoiceForge(api_key="your_api_key_here")

# Clone a voice with emotion parameters
voice = voice_api.clone(
    target_voice="bappa_sir",  # Popular Bangla YouTuber
    text="ভাই, লাইক আর সাবস্ক্রাইব মনে হয়না!",
    emotion="excited",  # Options: neutral, sad, excited, angry, persuasive
    dialect="dhaka",    # Options: dhaka, chittagong, sylhet, rajshahi, khulna, barishal
    speed=1.2,          # Playback speed multiplier (0.5 - 2.0)
    pitch_shift=0.3     # Adjust pitch (-1.0 to 1.0)
)

# Play the generated audio
voice.play()

# Save to file
voice.save("output/bappa_youtube_promo.mp3")

# Get waveform data for further processing
waveform = voice.get_waveform()
frequencies = np.fft.fft(waveform)
```

### **News Sentiment Analysis**
```python
from shobdhonic import NewsAnalyzer
import pandas as pd
import matplotlib.pyplot as plt

# Initialize news analyzer
news_api = NewsAnalyzer(api_key="your_api_key_here")

# Analyze recent articles
results = news_api.analyze(
    source="prothom_alo",     # Options: prothom_alo, ittefaq, bangla_tribune, bbc_bangla
    category="politics",       # Options: politics, business, sports, entertainment, tech
    date_range="last_7_days",  # Options: today, last_24h, last_7_days, last_30_days, custom
    sample_size=100            # Number of articles to analyze
)

# Get sentiment breakdown
sentiment_df = pd.DataFrame(results.sentiment_data)

# Plot results
plt.figure(figsize=(10, 6))
plt.bar(sentiment_df['sentiment'], sentiment_df['percentage'])
plt.title('Political News Sentiment Analysis')
plt.xlabel('Sentiment')
plt.ylabel('Percentage (%)')
plt.savefig('output/sentiment_analysis.png')
```

### **Enterprise Document Processing**
```python
from shobdhonic import DocumentProcessor
from shobdhonic.security import SensitiveDataDetector

# Initialize document processor
doc_api = DocumentProcessor(api_key="your_api_key_here")

# Process legal document
processed_doc = doc_api.process(
    file_path="contracts/agreement.pdf",
    tasks=[
        "summarize",           # Create executive summary
        "extract_entities",     # Find people, organizations, dates
        "identify_clauses",     # Detect important legal clauses
        "risk_assessment"       # Flag potentially problematic terms
    ],
    output_format="json"
)

# Check for sensitive information
sensitive_detector = SensitiveDataDetector()
security_scan = sensitive_detector.scan(processed_doc.raw_text)

if security_scan.has_sensitive_data:
    print(f"WARNING: Found {len(security_scan.findings)} instances of sensitive data")
    for finding in security_scan.findings:
        print(f"- {finding.type}: {finding.severity} risk level")

# Export processed results
processed_doc.export(
    output_path="output/processed_contract.json",
    include_metadata=True,
    redact_sensitive=True
)
```

---

## 🔋 **Core Modules**

### **Text Processing**
- `shobdhonic.tokenizer`: Advanced Bangla tokenization
- `shobdhonic.transformer`: Pre-trained transformer models
- `shobdhonic.nlp`: Natural language processing utilities
- `shobdhonic.generator`: Text generation capabilities
- `shobdhonic.translator`: Cross-language translation services

### **Audio & Speech**
- `shobdhonic.voice`: Text-to-speech and speech-to-text
- `shobdhonic.audio`: Audio processing utilities
- `shobdhonic.dialect`: Regional dialect processing

### **Media & Content**
- `shobdhonic.meme`: Meme generation engine
- `shobdhonic.social`: Social media integration
- `shobdhonic.content`: Content creation assistants
- `shobdhonic.video`: Video generation and editing

### **Analysis & Intelligence**
- `shobdhonic.sentiment`: Sentiment analysis tools
- `shobdhonic.analytics`: Usage statistics and reporting
- `shobdhonic.trends`: Trend detection and prediction

### **Security & Enterprise**
- `shobdhonic.security`: Security and compliance tools
- `shobdhonic.enterprise`: Enterprise integration utilities
- `shobdhonic.docs`: Document processing pipeline

---

## 📈 **Performance Benchmarks**

| **Task**                     | **Shôbdhonic**  | **Other Bangla NLP** | **Improvement** |
|------------------------------|-----------------|----------------------|-----------------|
| Text Classification          | 94.7%           | 88.2%                | +6.5%           |
| Named Entity Recognition     | 92.3%           | 85.9%                | +6.4%           |
| Sentiment Analysis           | 89.8%           | 81.3%                | +8.5%           |
| Question Answering           | 87.6%           | 79.1%                | +8.5%           |
| Text Generation (BLEU)       | 0.731           | 0.658                | +11.1%          |
| Speech Recognition (WER)     | 6.4%            | 11.7%                | -5.3% (better)  |
| Text-to-Speech (MOS)         | 4.52/5          | 3.87/5               | +16.8%          |

*Benchmarks conducted using standard Bangla test sets and industry metrics. Full methodology available in our [technical paper](https://shobdhonic.com/research/benchmarks).*

---

## 📊 **Enterprise Solutions**
<div align="center">
  <a href="https://shobdhonic.com/enterprise">
    <img src="https://img.shields.io/badge/Shobdhonic_Enterprise-Get_Custom_Solutions-f42a41?style=for-the-badge&logo=gitlab">
  </a>
</div>

### **Banking & Finance**
- Fraud detection in Bangla SMS/call transcripts
- Customer support automation
- Financial document processing
- Transaction pattern analysis
- Risk assessment NLP

### **Media & Publishing**
- Auto-summarize news articles from Prothom Alo/Ittefaq
- Content recommendation engines
- Automated content tagging
- Engagement prediction
- Toxic comment filtering

### **Education**
- Essay grading and feedback
- Personalized learning content
- Question generation from textbooks
- Academic plagiarism detection
- Educational chatbots in Bangla

### **Government & NGOs**
- Citizen feedback analysis
- Service request categorization
- Policy document processing
- Public sentiment monitoring
- Disinformation detection

---

## 💻 **API Integration**

### **REST API Example**
```javascript
// Using fetch in JavaScript
const fetchMeme = async () => {
  const response = await fetch('https://api.shobdhonic.com/v1/create-meme', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'Authorization': 'Bearer YOUR_API_KEY'
    },
    body: JSON.stringify({
      text: 'পরীক্ষার রেজাল্ট দেখার পর আমি',
      template: 'sad_pepe',
      format: 'jpg'
    })
  });
  
  const data = await response.json();
  return data.meme_url;
};

// Call the function
fetchMeme().then(url => {
  document.getElementById('meme-image').src = url;
});
```

### **Python SDK Example**
```python
from shobdhonic import ShobdhonicClient
import asyncio

async def main():
    # Initialize client
    client = ShobdhonicClient(api_key="YOUR_API_KEY")
    
    # Use the sentiment analysis API
    result = await client.analyze_sentiment(
        text="এই সিনেমাটা দেখে আমি খুবই মুগ্ধ হয়েছি।",
        detailed=True
    )
    
    print(f"Overall sentiment: {result.sentiment}")
    print(f"Confidence score: {result.confidence:.2f}")
    print(f"Emotional breakdown: {result.emotions}")
    
    # Use the translation API
    translation = await client.translate(
        text="আমি বাংলায় কথা বলতে পারি।",
        target_language="en"
    )
    
    print(f"Translation: {translation.text}")
    print(f"Source language detected: {translation.source_language}")

# Run the async function
asyncio.run(main())
```

### **Webhook Integration**
```python
from flask import Flask, request, jsonify
import hmac
import hashlib

app = Flask(__name__)

@app.route('/webhook/shobdhonic', methods=['POST'])
def shobdhonic_webhook():
    # Verify the webhook signature
    signature = request.headers.get('X-Shobdhonic-Signature')
    secret = 'your_webhook_secret'
    
    computed_signature = hmac.new(
        secret.encode('utf-8'),
        request.data,
        hashlib.sha256
    ).hexdigest()
    
    if not hmac.compare_digest(signature, computed_signature):
        return jsonify({'error': 'Invalid signature'}), 401
    
    # Process the webhook data
    data = request.json
    event_type = data.get('event_type')
    
    if event_type == 'sentiment_alert':
        handle_sentiment_alert(data)
    elif event_type == 'content_moderation':
        handle_content_moderation(data)
    elif event_type == 'trend_detected':
        handle_trend_detection(data)
    
    return jsonify({'status': 'success'}), 200

def handle_sentiment_alert(data):
    # Process sentiment alerts
    pass

def handle_content_moderation(data):
    # Process content moderation events
    pass

def handle_trend_detection(data):
    # Process trend detection events
    pass

if __name__ == '__main__':
    app.run(debug=True, port=5000)
```

---

## 🧩 **Project Structure**
```
shobdhonic/
├── api/                # API endpoints
├── cli/                # Command-line tools
├── core/               # Core functionality
│   ├── models/         # ML models
│   ├── processors/     # Text processors
│   ├── tokenizers/     # Bangla tokenizers
│   └── vectors/        # Word embeddings
├── data/               # Data handling
│   ├── corpus/         # Text corpora
│   ├── loaders/        # Data loaders
│   └── scrapers/       # Web scrapers
├── media/              # Media generation
│   ├── audio/          # Audio processing
│   ├── images/         # Image generation
│   └── video/          # Video processing
├── security/           # Security tools
├── services/           # External services
├── ui/                 # User interfaces
│   ├── web/            # Web interface
│   ├── mobile/         # Mobile interface
│   └── widgets/        # Embeddable widgets
├── utils/              # Utility functions
└── tests/              # Test suite
```

---

## 🛠️ **Development Workflow**

### **Setting Up Development Environment**
```bash
# Clone the development repository
git clone https://github.com/Shobdhonic/shobdhonic-dev.git
cd shobdhonic-dev

# Create development environment
python -m venv dev-env
source dev-env/bin/activate

# Install development dependencies
pip install -r requirements-dev.txt

# Set up pre-commit hooks
pre-commit install
```

### **Running Tests**
```bash
# Run all tests
pytest

# Run specific test category
pytest tests/test_tokenizers.py

# Run with coverage report
pytest --cov=shobdhonic --cov-report=html
```

### **Building Documentation**
```bash
# Generate API documentation
cd docs
make html

# View documentation
python -m http.server -d _build/html
```

### **CI/CD Pipeline**
Our continuous integration and deployment pipeline automatically:
1. Runs tests on all pull requests
2. Performs code quality checks
3. Builds and publishes packages on releases
4. Deploys to staging/production environments
5. Updates documentation site

---

## 🤝 **Contribute to Bangla AI**
We welcome contributions from the community! Here's how to get started:

1. **Fork the Repository**: [GitHub/Shobdhonic](https://github.com/Shobdhonic)
2. **Pick an Issue**: Look for issues labeled `good-first-issue`, `help-wanted`, or `Gen-Z feature`
3. **Set Up Your Environment**: Follow the development setup instructions above
4. **Make Your Changes**: Write code and tests for your feature or fix
5. **Submit a Pull Request**: Follow our [Contribution Guidelines](CONTRIBUTING.md)

### **Areas We Need Help With**
- 🧠 **Model Training**: Fine-tuning transformers on Bangla data
- 🎮 **Gen-Z Features**: Cultural memes, slang translators, social integrations
- 📱 **Mobile Development**: React Native components for our SDK
- 🔊 **Voice Data**: Collection and processing of regional dialects
- 📚 **Documentation**: Tutorials, examples, and API documentation

### **Contributor Code of Conduct**
All contributors are expected to adhere to our [Code of Conduct](CODE_OF_CONDUCT.md) which promotes a welcoming, inclusive, and harassment-free experience for everyone.

---

## 📒 **Documentation**

### **API Reference**
Complete API documentation is available at [docs.shobdhonic.com](https://docs.shobdhonic.com)

### **Tutorials**
Step-by-step tutorials for common tasks:
- [Getting Started with Shôbdhonic](https://docs.shobdhonic.com/tutorials/getting-started)
- [Building a Bangla Chatbot](https://docs.shobdhonic.com/tutorials/chatbot)
- [Voice Cloning Basics](https://docs.shobdhonic.com/tutorials/voice-cloning)
- [Meme Generation](https://docs.shobdhonic.com/tutorials/meme-gen)
- [Enterprise Document Processing](https://docs.shobdhonic.com/tutorials/document-processing)

### **Examples**
Explore our [examples directory](https://github.com/Shobdhonic/examples) for complete code samples:
- Basic NLP tasks (tokenization, classification, etc.)
- Voice synthesis and analysis
- Media generation workflows
- Enterprise integration patterns
- Web and mobile application samples

---

## 📜 **License & Ethics**
```text
MIT License | © 2024 Shôbdhonic  

*Bangla Data Ethics Pledge:*  
- No misuse of dialects/regional languages  
- Cite sources like Ittefaq/Prothom Alo  
- Free access for academic research and non-profits/NGOs  
- Respecting privacy and data sovereignty
- Preserving Bangla linguistic diversity
```

### **Ethical AI Commitment**
At Shôbdhonic, we commit to:
- Transparency in our AI systems
- Fairness and bias mitigation
- Protection of user privacy
- Responsible data collection practices
- Supporting cultural preservation
- Making advanced Bangla NLP accessible to all

Our complete AI Ethics Policy is available [here](https://shobdhonic.com/ethics).

---

## 🧪 **Research**
Our team publishes open research on Bangla NLP:

- [BanglaTransformers: Pre-training Transformers for Bengali NLP](https://arxiv.org/abs/xxxx.xxxxx)
- [Dialect-Aware Speech Synthesis for Low-Resource Languages](https://arxiv.org/abs/xxxx.xxxxx)
- [BanglaEval: Benchmarking NLP Systems for Bengali](https://arxiv.org/abs/xxxx.xxxxx)

Interested in research collaboration? Contact us at [email protected]

---

## 🌐 **Connect**
<div align="center">
  
[![Hugging Face](https://img.shields.io/badge/Models-Hugging_Face-ffcc00?style=for-the-badge&logo=huggingface)](https://huggingface.co/Shobdhonic)  
[![YouTube](https://img.shields.io/badge/Tutorials-YouTube-FF0000?style=for-the-badge&logo=youtube)](https://youtube.com/Shobdhonic)  
[![LinkedIn](https://img.shields.io/badge/Jobs-LinkedIn-0A66C2?style=for-the-badge&logo=linkedin)](https://linkedin.com/company/Shobdhonic)  
[![Medium](https://img.shields.io/badge/Blog-Medium-000000?style=for-the-badge&logo=medium)](https://medium.com/Shobdhonic)
[![Discord](https://img.shields.io/badge/Community-Discord-5865F2?style=for-the-badge&logo=discord)](https://discord.gg/shobdhonic)

</div>

---

<div align="center">

**মহাযুদ্ধ বাংলা ভাষার, আমরা প্রস্তুত!**  
*Powered by রক্তে বাংলা, প্রযুক্তিতে Shôbdhonic*  

</div>