README.md

#  Smart Career Advisor Agent (OpenEnv)

A lightweight **OpenEnv-compatible smart agent** that provides career guidance based on user interests, with intelligent suggestions and random exploration tips.

---

##  Features

*  Intent-based career suggestions (AI, Web, Data, Design)
*  Smart agent behavior with structured responses
*  Random growth tips for exploration
*  Stateless design (OpenEnv compliant)
*  Ready for Hugging Face Spaces deployment

---

##  Project Structure

```
smart_agent_openenv/
│
├── inference.py        # OpenEnv entrypoint (REQUIRED)
├── app.py              # Application controller
├── agents.py           # Smart agent logic
├── requirements.txt    # Dependencies
├── openenv.yaml        # OpenEnv config (optional)
├── Dockerfile          # HF deployment
└── README.md
```

---

##  Requirements

* Python **3.10 / 3.11 / 3.12**
* pip
* Git

---

##  Installation

```bash
pip install -r requirements.txt
```

---

##  Local Testing

Since CLI may not work on all systems, test manually:

```bash
python test_openenv.py
```

Or create a quick test:

```python
from inference import predict, reset

print(predict({"query": "I like AI"}))
print(reset())
```

---

##  OpenEnv Contract

This project follows required OpenEnv structure:

*  `inference.py` at root
*  `predict(input_data)` function
*  `reset()` function
*  Stateless execution

---

##  Docker Deployment (Hugging Face)

Build runs automatically on HF Spaces using Dockerfile.

### Steps:

1. Push code to GitHub
2. Go to Hugging Face Spaces
3. Create new Space:

   * SDK → **Docker**
4. Connect repo or upload files
5. Wait for build 

---

##  Usage Example

Input:

```json
{
  "query": "I am interested in AI"
}
```

Output:

```json
{
  "output": {
    "intent": "ai",
    "careers": ["AI Engineer", "ML Engineer", "Deep Learning Engineer"],
    "tip": "Build real-world projects",
    "message": "Based on your interest in ai, these careers fit you."
  }
}
```

---

##  Common Issues & Fixes

###  `openenv not recognized`

Use:

```bash
python -m pip install openenv-core
```

---

###  `reset post failed`

✔ Ensure `reset()` exists in `inference.py`

---

###  `inference.py not detected`

✔ File must be in root directory

---

###  Python version issues

✔ Use Python 3.10–3.12 (avoid 3.13)

---

##  Submission Steps

1. Build project using OpenEnv structure
2. Test locally
3. Push to GitHub
4. Deploy on Hugging Face Spaces
5. Submit Space URL

---

##  Future Improvements

* Multi-agent system (planner + executor)
* Memory-based reasoning (vector / graph)
* Integration with LLM APIs
* Real-world problem solving agents

---

##  Author

**Junaid Khan**
AI Researcher & Developer

---

##  License

Open-source project for educational and experimental use.