PathFinder AI

PathFinder AI is an AI-powered chatbot that provides career advice using Hugging Face models. It helps users with job market insights, professional development, and industry-specific recommendations. Built with Streamlit, it offers a simple and interactive chat experience. 🚀

Features

• 💼 AI-Powered Career Advice: Get guidance based on industry trends.
• 🧠 Uses GPT-2 & DistilGPT-2: Generates career-related responses.
• 🎨 User-Friendly UI: Built with Streamlit for an interactive chat experience.
• 🔄 Session Memory: Keeps track of past interactions for smooth conversations.
• ⚙️ Fallback Mechanism: Uses a backup model if the primary one fails.

Project Structure

PathFinder/
│── venv/                 # Virtual environment (not included in GitHub)
│── .env                  # Environment variables (API keys)
│── .gitignore            # Git ignore file
│── app.py                # Main application script
│── requirements.txt      # Dependencies

Installation

1. Clone the Repository

git clone https://github.com/yourusername/PathFinder-AI.git
cd PathFinder-AI

2. Create and Activate Virtual Environment (Optional but Recommended)

python -m venv venv
source venv/bin/activate  # On Mac/Linux
venv\Scripts\activate     # On Windows

3. Install Dependencies

pip install -r requirements.txt

4. Set Up API Key

Create a .env file in the root directory and add your Hugging Face API key:

HF_API_TOKEN=your_huggingface_api_key

5. Run the Application

streamlit run app.py

How It Works

1. Users enter career-related questions.
2. The chatbot sends the query to Hugging Face's GPT-2 model.
3. The AI generates a response and displays it in the chat interface.
4. If GPT-2 fails, it falls back to DistilGPT-2.

Future Improvements

• 🔥 Upgrade to a more advanced model (GPT-4, Mistral-7B, or fine-tuned AI).
• 📚 Train a custom model on career-specific data.
• 🔍 Integrate real-time job market trends using APIs.

License

This project is open-source under the MIT License.

Contributions

Feel free to contribute! Open an issue or submit a pull request.

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🚀 Built with ❤️ using Streamlit and Hugging Face!