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---
title: README
emoji: 🏢
colorFrom: pink
colorTo: indigo
sdk: static
pinned: false
---
# 💀 Deathly Legion Cyber Team

<div align="center">

![Status](https://img.shields.io/badge/Status-Active-success?style=for-the-badge)
![Team](https://img.shields.io/badge/Team-Cyber%20Operations-red?style=for-the-badge)
![Focus](https://img.shields.io/badge/Focus-AI%20Training-blue?style=for-the-badge)

**Cybersecurity & AI Model Training**

</div>

---

## 🎯 About

Deathly Legion is a cyber team focused on AI model training, machine learning research, and cybersecurity operations.

## 🔥 Specializations

### 🤖 AI Model Training
- Neural network development
- Model fine-tuning and optimization
- Dataset preparation and cleaning
- Model evaluation and testing

### 🛡️ Cybersecurity
- Security research
- Threat analysis
- System hardening
- Network security

### 📊 Technical Skills
- Machine learning implementation
- Deep learning frameworks
- Security tools and automation
- Data analysis

---

## 💻 Technology Stack

### AI/ML Frameworks
```
PyTorch | TensorFlow | Keras | Scikit-learn
Hugging Face Transformers | ONNX | NumPy | Pandas
```

### Programming Languages
```
Python | JavaScript | Bash | SQL
```

### Tools & Platforms
```
Jupyter Notebook | Git | Docker | Linux
VS Code | Google Colab | Kaggle
```

### Security Tools
```
Wireshark | Nmap | Metasploit | Burp Suite
Kali Linux | OWASP ZAP
```

---

## 📈 Training Focus Areas

- Computer vision models
- Natural language processing
- Time series analysis
- Classification and regression tasks
- Anomaly detection systems
- Custom dataset creation

---

## 🏆 Team Structure

- AI/ML Engineers
- Security Researchers
- Data Scientists
- Infrastructure Support

---

## 🎓 Learning & Development

### Focus Areas
- Deep learning techniques
- Security best practices
- Model optimization
- Ethical AI development

---

## ⚖️ Ethics

- Responsible AI development
- Ethical security research
- Privacy protection
- Legal compliance

---

<div align="center">

**💀 Deathly Legion Cyber Team 💀**

</div>