
# đ¤ **Meena** - Enterprise AI Pipeline
[](https://github.com/sheikh-vegeta/Meena/actions)
[](https://python.org)
[](https://huggingface.co)
[](https://github.com/sheikh-vegeta/Meena/blob/main/LICENSE)
**đ āĻŦāĻžāĻāϞāĻž āĻ āĻāĻāϰā§āĻāĻŋāϤ⧠āĻāĻĨā§āĻĒāĻāĻĨāύā§āϰ āĻāĻāĻ | Bengali & English Conversational AI**
*"āϝā§āĻāĻžāύā§āϤāĻāĻžāϰ⧠āĻĒā§āϰāϝā§āĻā§āϤāĻŋāϰ āϏāĻžāĻĨā§ āĻŽāĻžāϤā§āĻāĻžāώāĻžāϰ āĻŽāĻŋāϞāύ"*
*Revolutionary technology meets mother tongue*
---
### ⥠**Enterprise-grade CI/CD pipeline for training, benchmarking, and deploying intelligent conversational AI**
---
## đ¯ **āĻŽā§āϞ āĻŦā§āĻļāĻŋāώā§āĻā§āϝ | Key Features**
|
### đ **āϏā§āĻŦāϝāĻŧāĻāĻā§āϰāĻŋāϝāĻŧ āĻĒāĻžāĻāĻĒāϞāĻžāĻāύ**
**Automated Pipeline**
âī¸ **CI/CD Automation**
đ **Smart Change Detection**
đ **Multi-environment Support**
*"āĻāĻāĻŦāĻžāϰ āϏā§āĻ āĻāϰā§āύ, āĻāĻŋāϰāĻāĻžāϞ āĻāĻžāϞāĻžāύ"*
|
### đ§ **āĻāύā§āύāϤ āĻāĻāĻ āĻĒā§āϰāĻļāĻŋāĻā§āώāĻŖ**
**Advanced AI Training**
đ¯ **LoRA Fine-tuning**
đ **Integrated Benchmarking**
đ **Multilingual Support**
*"āĻŦāĻžāĻāϞāĻž āĻāĻžāώāĻžāϰ āĻāύā§āϝ āĻŦāĻŋāĻļā§āώāĻāĻžāĻŦā§ āĻ
āĻĒā§āĻāĻŋāĻŽāĻžāĻāĻāĻĄ"*
|
### đĻ **āĻĒā§āĻļāĻžāĻĻāĻžāϰ āϏā§āĻĨāĻžāĻĒāύāĻž**
**Professional Deployment**
đ¤ **HuggingFace Integration**
đ **Auto Model Cards**
đ **Smart Notifications**
*"āĻŦāĻŋāĻļā§āĻŦāĻŽāĻžāύā§āϰ āĻŽāĻĄā§āϞ āĻĄāĻŋāĻĒā§āϞāϝāĻŧāĻŽā§āύā§āĻ"*
|
---
## đ ī¸ **Architecture Overview | āϏā§āĻĨāĻžāĻĒāϤā§āϝ āĻĒāϰāĻŋāĻāϞā§āĻĒāύāĻž**
```mermaid
flowchart TD
A[đ āĻā§āĻĄ āĻĒā§āĻļ
Code Push] --> B[đĩī¸ āĻĒāϰāĻŋāĻŦāϰā§āϤāύ āϏāύāĻžāĻā§āϤāĻāϰāĻŖ
Change Detection]
B --> C{đ Changes?}
C -->|Training| D[đ āĻŽāĻĄā§āϞ āĻĒā§āϰāĻļāĻŋāĻā§āώāĻŖ
Model Training]
C -->|Benchmark| E[đ āĻāϰā§āĻŽāĻā§āώāĻŽāϤāĻž āĻŽā§āϞā§āϝāĻžāϝāĻŧāύ
Performance Eval]
D --> F[đ āĻĒā§āϰāĻļāĻŋāĻā§āώāĻŖ āĻŽā§āĻā§āϰāĻŋāĻā§āϏ
Training Metrics]
E --> G[đ āĻŦā§āĻā§āĻāĻŽāĻžāϰā§āĻ āĻĢāϞāĻžāĻĢāϞ
Benchmark Results]
F --> H[đ āĻŽāĻĄā§āϞ āĻĒā§āϰāĻāĻžāĻļāύāĻž
Model Publishing]
G --> H
H --> I[đ¤ HuggingFace Hub]
H --> J[đĻ GitHub Release]
I --> K[đ§Ē āĻĒāϰā§āĻā§āώāĻž
Testing]
J --> K
K --> L[â
Quality Gates]
L --> M[đ āĻŦāĻŋāĻā§āĻāĻĒā§āϤāĻŋ
Notification]
style A fill:#e3f2fd
style D fill:#f3e5f5
style E fill:#fff8e1
style H fill:#e8f5e8
style M fill:#fce4ec
```
---
## đ **Quick Start | āĻĻā§āϰā§āϤ āĻļā§āϰā§**
### āĻŦāĻžāĻāϞāĻž āύāĻŋāϰā§āĻĻā§āĻļāύāĻž | Bengali Instructions
```bash
# āϰāĻŋāĻĒā§āĻāĻŋāĻāϰāĻŋ āĻā§āϞā§āύ āĻāϰā§āύ | Clone repository
git clone https://github.com/sheikh-vegeta/Meena.git
cd Meena
# āĻāĻžāϰā§āĻā§āϝāĻŧāĻžāϞ āĻāύāĻāĻžāϝāĻŧāϰāύāĻŽā§āύā§āĻ āϤā§āϰāĻŋ āĻāϰā§āύ | Create virtual environment
python -m venv meena-env
source meena-env/bin/activate # Windows: meena-env\Scripts\activate
# āĻĒā§āϰāϝāĻŧā§āĻāύā§āϝāĻŧ āĻĒā§āϝāĻžāĻā§āĻ āĻāύāϏā§āĻāϞ āĻāϰā§āύ | Install dependencies
pip install -r requirements.txt
# āĻĒā§āϰāĻļāĻŋāĻā§āώāĻŖ āĻļā§āϰ⧠āĻāϰā§āύ | Start training
python train.py --language bengali
# āĻŦā§āĻā§āĻāĻŽāĻžāϰā§āĻ āĻāĻžāϞāĻžāύ | Run benchmark
python benchmark.py --eval-lang bn
```
> đĄ **āĻĒā§āϰ⧠āĻāĻŋāĻĒ:** `--language mixed` āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻāϰ⧠āĻŦāĻžāĻāϞāĻž āĻ āĻāĻāϰā§āĻāĻŋ āĻāĻāϏāĻžāĻĨā§ āĻĒā§āϰāĻļāĻŋāĻā§āώāĻŖ āĻĻāĻŋāύ!
---
## đ **Pipeline Jobs | āĻĒāĻžāĻāĻĒāϞāĻžāĻāύ āĻāĻžāĻāϏāĻŽā§āĻš**
| đ¯ Job | āĻŦāĻŋāĻŦāϰāĻŖ | Description | Triggers |
|---------|--------|-------------|----------|
| đĩī¸ **detect-changes** | āĻĒāϰāĻŋāĻŦāϰā§āϤāύ āĻļāύāĻžāĻā§āϤāĻāϰāĻŖ | Change Detection | āϏāϰā§āĻŦāĻĻāĻž \| Always |
| đ **train** | āĻŽāĻĄā§āϞ āĻĒā§āϰāĻļāĻŋāĻā§āώāĻŖ | Model Training | Training scripts modified |
| đ **benchmark** | āĻāϰā§āĻŽāĻā§āώāĻŽāϤāĻž āĻĒāϰā§āĻā§āώāĻž | Performance Testing | Model changes |
| đ **publish** | āĻŽāĻĄā§āϞ āĻĒā§āϰāĻāĻžāĻļāύāĻž | Model Publishing | Training success |
| đ§Ē **test** | āĻā§āĻĄāĻŧāĻžāύā§āϤ āĻĒāϰā§āĻā§āώāĻž | Final Validation | Post-deployment |
| đ **notify** | āĻŦāĻŋāĻā§āĻāĻĒā§āϤāĻŋ āĻĒāĻžāĻ āĻžāύ⧠| Send Notifications | Pipeline completion |
---
## đ **Multilingual Support | āĻŦāĻšā§āĻāĻžāώāĻŋāĻ āϏāĻžāĻĒā§āϰā§āĻ**
### đ§đŠ Bengali (āĻŦāĻžāĻāϞāĻž) Features
| āĻŦā§āĻļāĻŋāώā§āĻā§āϝ | Feature | Status |
|------------|---------|--------|
| đ **āύā§āĻāĻŋāĻ āĻĄā§āĻāĻžāϏā§āĻ** | Native Datasets | â
āϏāĻā§āϰāĻŋāϝāĻŧ |
| đ¤ **āĻā§āĻā§āύāĻžāĻāĻā§āĻļāύ** | Proper Tokenization | â
āϏāĻā§āϰāĻŋāϝāĻŧ |
| đ **āϏāĻžāĻāϏā§āĻā§āϤāĻŋāĻ āĻĒā§āϰāϏāĻā§āĻ** | Cultural Context | â
āϏāĻā§āϰāĻŋāϝāĻŧ |
| ⥠**āĻĻā§āϰā§āϤ āĻāύāĻĢāĻžāϰā§āύā§āϏ** | Fast Inference | â
āϏāĻā§āϰāĻŋāϝāĻŧ |
> **āĻŦāĻžāĻāϞāĻž āĻāĻžāώāĻžāϰ āĻāύā§āϝ āĻŦāĻŋāĻļā§āώ āĻ
āĻĒā§āĻāĻŋāĻŽāĻžāĻāĻā§āĻļāύ:**
> *"āĻāĻŽāĻžāĻĻā§āϰ āĻŽāĻĄā§āϞ āĻŦāĻžāĻāϞāĻž āĻāĻžāώāĻžāϰ āĻŦā§āϝāĻžāĻāϰāĻŖ, āĻŦāĻžāĻāϧāĻžāϰāĻž āĻāĻŦāĻ āĻāĻā§āĻāϞāĻŋāĻ āĻāĻžāώāĻžāϰ āĻŦā§āĻāĻŋāϤā§āϰā§āϝ āĻŦā§āĻāϤ⧠āĻĒāĻžāϰā§āĨ¤"*
### Training Data Structure
```
datasets/
âââ đ§đŠ bengali/
â âââ āĻāύā§āώā§āĻ āĻžāύāĻŋāĻ-āĻāĻĨā§āĻĒāĻāĻĨāύ.json # Formal dialogues
â âââ āύā§āĻŽāĻŋāϤā§āϤāĻŋāĻ-āĻā§āϝāĻžāĻ.json # Casual conversations
â âââ āϏāĻžāĻšāĻŋāϤā§āϝāĻŋāĻ-āϏāĻāϞāĻžāĻĒ.json # Literary dialogues
âââ đēđ¸ english/
â âââ dialogpt_data.json
â âââ general_conversations.json
âââ đ mixed/
âââ bilingual_pairs.json # āĻĻā§āĻŦāĻŋāĻāĻžāώāĻŋāĻ āĻā§āĻĄāĻŧāĻž
```
---
## đ **Benchmarking | āĻāϰā§āĻŽāĻā§āώāĻŽāϤāĻž āĻŽā§āϞā§āϝāĻžāϝāĻŧāύ**
### āĻŽā§āĻā§āϰāĻŋāĻā§āϏ | Metrics Overview
| āĻŽā§āĻā§āϰāĻŋāĻ | Metric | āĻŦāĻžāĻāϞāĻž | English | Mixed |
|----------|--------|--------|---------|-------|
| đ **Perplexity** | āĻāĻžāώāĻž āĻŽāĻĄā§āϞ āĻā§āĻŖāĻŽāĻžāύ | `< 15` | `< 12` | `< 18` |
| đ¯ **BLEU Score** | āĻ
āύā§āĻŦāĻžāĻĻ āĻā§āĻŖāĻŽāĻžāύ | `> 85` | `> 88` | `> 82` |
| đŖī¸ **Dialogue Coherence** | āϏāĻāϞāĻžāĻĒ āϏāĻāĻāϤāĻŋ | `> 90%` | `> 92%` | `> 88%` |
| ⥠**Inference Speed** | āĻĒā§āϰāϤāĻŋāĻā§āϰāĻŋāϝāĻŧāĻžāϰ āĻāϤāĻŋ | `< 200ms` | `< 180ms` | `< 220ms` |
> **āĻŦāĻžāĻāϞāĻž āĻŽā§āĻā§āϰāĻŋāĻā§āϏ āĻŦāĻŋāĻļā§āώāϤā§āĻŦ:**
> *"āĻāĻŽāĻžāĻĻā§āϰ āĻŦā§āĻā§āĻāĻŽāĻžāϰā§āĻāĻŋāĻ āϏāĻŋāϏā§āĻā§āĻŽ āĻŦāĻžāĻāϞāĻž āĻāĻžāώāĻžāϰ āĻāύā§āϝ āĻŦāĻŋāĻļā§āώāĻāĻžāĻŦā§ āϤā§āϰāĻŋ āĻāϰāĻž āĻšāϝāĻŧā§āĻā§āĨ¤"*
---
## đ **Notification System | āĻŦāĻŋāĻā§āĻāĻĒā§āϤāĻŋ āĻŦā§āϝāĻŦāϏā§āĻĨāĻž**
### đą **Smart Notifications**
| Platform | āĻŦāĻŋāĻā§āĻāĻĒā§āϤāĻŋāϰ āϧāϰāύ | Notification Type | Status |
|----------|------------------|-------------------|--------|
| đ§ **Email** | āĻā§āϰā§āϤā§āĻŦāĻĒā§āϰā§āĻŖ āĻŦā§āϝāϰā§āĻĨāϤāĻž | Critical Failures | đĸ Active |
| đŦ **Slack** | āĻāĻŋāĻŽ āĻāĻĒāĻĄā§āĻ | Team Updates | đĸ Active |
| đ¨ **Discord** | āĻāĻŽāĻŋāĻāύāĻŋāĻāĻŋ āĻŦāĻžāϰā§āϤāĻž | Community Alerts | đĸ Active |
| đą **GitHub** | āĻāϏā§āϝ⧠āĻā§āϰā§āϝāĻžāĻāĻŋāĻ | Issue Tracking | đĸ Active |
---
## đ¤ **Contributing | āĻ
āĻŦāĻĻāĻžāύ āϰāĻžāĻā§āύ**
### đ **How to Contribute | āĻā§āĻāĻžāĻŦā§ āĻ
āĻŦāĻĻāĻžāύ āϰāĻžāĻāĻŦā§āύ**
```mermaid
flowchart LR
A[đ´ Fork Repository
āϰāĻŋāĻĒā§ āĻĢāϰā§āĻ āĻāϰā§āύ] --> B[đŋ Create Branch
āĻŦā§āϰāĻžāĻā§āĻ āϤā§āϰāĻŋ āĻāϰā§āύ]
B --> C[⥠Make Changes
āĻĒāϰāĻŋāĻŦāϰā§āϤāύ āĻāϰā§āύ]
C --> D[â
Test Locally
āϏā§āĻĨāĻžāύā§āϝāĻŧ āĻĒāϰā§āĻā§āώāĻž]
D --> E[đ Commit & Push
āĻāĻŽāĻŋāĻ āĻ āĻĒā§āĻļ]
E --> F[đ Pull Request
āĻĒā§āϞ āϰāĻŋāĻā§āϝāĻŧā§āϏā§āĻ]
```
### āĻ
āĻŦāĻĻāĻžāύā§āϰ āĻā§āώā§āϤā§āϰāϏāĻŽā§āĻš | Contribution Areas
- đ§ **āĻŽāĻĄā§āϞ āĻāύā§āύāϤāĻŋ** | Model Improvements
- đ **āĻāĻžāώāĻž āϏāĻžāĻĒā§āϰā§āĻ** | Language Support
- đ **āĻŦā§āĻā§āĻāĻŽāĻžāϰā§āĻāĻŋāĻ** | Benchmarking
- đ§ **āĻ
āĻŦāĻāĻžāĻ āĻžāĻŽā§** | Infrastructure
- đ **āĻĄāĻā§āĻŽā§āύā§āĻā§āĻļāύ** | Documentation
> **āĻ
āĻŦāĻĻāĻžāύāĻāĻžāϰā§āĻĻā§āϰ āĻāύā§āϝ āĻŦāĻžāϰā§āϤāĻž:**
> *"āĻāĻĒāύāĻžāϰ āĻĒā§āϰāϤāĻŋāĻāĻŋ āĻ
āĻŦāĻĻāĻžāύ āĻŦāĻžāĻāϞāĻž AI-āĻāϰ āĻāĻā§āĻā§āĻŦāϞ āĻāĻŦāĻŋāώā§āϝ⧠āĻāĻĄāĻŧāϤ⧠āϏāĻžāĻšāĻžāϝā§āϝ āĻāϰāĻŦā§āĨ¤ āĻāĻŽāϰāĻž āĻāĻĒāύāĻžāϰ āϏā§āĻāύāĻļā§āϞāϤāĻž āĻ āĻĻāĻā§āώāϤāĻžāĻā§ āϏā§āĻŦāĻžāĻāϤ āĻāĻžāύāĻžāĻ!"*
---
## đ **Acknowledgments | āĻā§āϤāĻā§āĻāϤāĻž**
### đ **Special Thanks | āĻŦāĻŋāĻļā§āώ āϧāύā§āϝāĻŦāĻžāĻĻ**
| đ¤ Contributor | āĻ
āĻŦāĻĻāĻžāύ | Contribution |
|-----------------|---------|-------------|
| đ¤ **Hugging Face** | āĻā§āϰāĻžāύā§āϏāĻĢāϰāĻŽāĻžāϰ āϞāĻžāĻāĻŦā§āϰā§āϰāĻŋ | Transformers Library |
| đ **Bengali NLP Community** | āĻĄā§āĻāĻžāϏā§āĻ āĻ āĻĢāĻŋāĻĄāĻŦā§āϝāĻžāĻ | Datasets & Feedback |
| đĨ **All Contributors** | āĻā§āĻĄ āĻ āĻĄāĻā§āĻŽā§āύā§āĻā§āĻļāύ | Code & Documentation |
| đ§đŠ **Bangladesh AI Community** | āĻĒā§āϰā§āϰāĻŖāĻž āĻ āϏāĻšāĻžāϝāĻŧāϤāĻž | Inspiration & Support |
---
---
### đŽ **āĻāĻŦāĻŋāώā§āϝāϤā§āϰ āϏā§āĻŦāĻĒā§āύ | Future Vision**
*"āĻāĻāĻāĻŋ āĻāĻŽāύ āĻĒā§āĻĨāĻŋāĻŦā§ āϝā§āĻāĻžāύ⧠āĻĒā§āϰāϝā§āĻā§āϤāĻŋ āĻāĻŽāĻžāĻĻā§āϰ āĻŽāĻžāϤā§āĻāĻžāώāĻžāĻā§ āϏāĻŽā§āĻŽāĻžāύ āĻāϰā§"*
**"A world where technology honors our mother tongue"**
---

**Made with â¤ī¸ by the Meena Team**
[](https://github.com/sheikh-vegeta/Meena)
[](https://github.com/sheikh-vegeta/Meena/issues)
[](https://github.com/sheikh-vegeta/Meena/issues)
**đ§ Contact:** [GitHub Issues](https://github.com/sheikh-vegeta/Meena/issues) |
**đŦ Discuss:** [GitHub Discussions](https://github.com/sheikh-vegeta/Meena/discussions)