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.

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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

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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

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Requirements

• Python 3.10 / 3.11 / 3.12
• pip
• Git

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Installation

pip install -r requirements.txt

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Local Testing

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

python test_openenv.py

Or create a quick test:

from inference import predict, reset

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

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OpenEnv Contract

This project follows required OpenEnv structure:

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

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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

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Usage Example

Input:

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

Output:

{
  "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."
  }
}

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Common Issues & Fixes

openenv not recognized

Use:

python -m pip install openenv-core

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reset post failed

✔ Ensure reset() exists in inference.py

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inference.py not detected

✔ File must be in root directory

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Python version issues

✔ Use Python 3.10–3.12 (avoid 3.13)

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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

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Future Improvements

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

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Author

Junaid Khan AI Researcher & Developer

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License

Open-source project for educational and experimental use.