# Unemployeed - Experiments Repository

This is an experimentation repository for `Unemployeed` - a place to play around with code, test new ideas, and prototype features before integrating them into the main project.

## 📁 Repository Structure

```
experiments/
├── ai-experiments/          # AI/ML related experiments
│   └── hf_models/          # Hugging Face model services for career prep
├── alt-stacks/             # Alternative tech stack experiments
├── design-experiments/     # UI/UX and design system experiments
└── README.md              # This file
```

## 🧪 Experiment Categories

### AI Experiments (`ai-experiments/`)
Experiments related to artificial intelligence, machine learning, and LLM integrations.

**Current Projects:**
- **`hf_models/`**: Career Prep LLM Services - A Hugging Face Spaces-compatible service layer providing:
  - Career diagnosis
  - Breakthrough analysis
  - Personalized roadmap generation
  - Resume analysis with ATS scoring
  
  See [ai-experiments/hf_models/README.md](./ai-experiments/hf_models/README.md) for detailed documentation.

### Alt Stacks (`alt-stacks/`)
Experiments with alternative technology stacks, frameworks, or architectures.

### Design Experiments (`design-experiments/`)
UI/UX prototypes, design system components, and visual experiments.

## 🚀 Quick Start

### Prerequisites
- Python 3.9+ (for AI experiments)
- Git
- Virtual environment tool (venv, conda, etc.)

### Setting Up an Experiment

1. **Navigate to the experiment directory:**
   ```bash
   cd ai-experiments/hf_models  # or your experiment directory
   ```

2. **Create a virtual environment:**
   ```bash
   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   ```

3. **Install dependencies:**
   ```bash
   pip install -r requirements.txt
   ```

4. **Follow the experiment-specific README** for detailed setup instructions.

## 📝 Adding New Experiments

When creating a new experiment:

1. **Create a new directory** under the appropriate category (or create a new category if needed)
2. **Add a README.md** explaining:
   - What the experiment does
   - How to set it up
   - How to run it
   - Key findings or notes
3. **Include a `.gitignore`** if needed (the root `.gitignore` covers most cases)
4. **Document dependencies** in a `requirements.txt` or equivalent

## 🎯 Experiment Guidelines

- **Keep it experimental**: This is a safe space to try new things
- **Document learnings**: Update READMEs with findings and insights
- **Isolate experiments**: Each experiment should be self-contained
- **Clean up**: Remove experiments that are no longer relevant or have been integrated

## 🔧 Common Commands

### Running Tests
```bash
# From a Python experiment directory
pytest
pytest --cov=. --cov-report=html  # With coverage
```

### Managing Dependencies
```bash
# Generate requirements.txt
pip freeze > requirements.txt

# Install from requirements.txt
pip install -r requirements.txt
```

## 📚 Resources

- [AI Experiments - HF Models](./ai-experiments/hf_models/README.md) - Career Prep LLM Services documentation

## 🤝 Contributing

This is a personal experimentation repository. Feel free to:
- Add new experiments
- Document findings
- Refactor and improve existing experiments
- Remove outdated experiments

## 📄 License

[Add your license here]

---

**Note**: This repository is for experimentation and prototyping. Code here may be incomplete, unstable, or experimental. Use at your own discretion.