This is an AI Career Agent, an autonomous system designed to help individuals find jobs and navigate their career paths by bridging the gap between their skills and industry demands. Leveraging IBM's open-source technologies, this project demonstrates an end-to-end, agentic workflow that goes beyond traditional keyword matching.
The agent can:
Find jobs based on a user's skills.
Analyze skills from a resume against job requirements.
Identify skill gaps and provide a personalized learning plan.
The project is built as a complete, full-stack application for a hackathon. The architecture is modular and easy to extend.
Architecture The project consists of three main components:
Frontend (AI_Career_Agent.html): A single HTML file containing all the UI logic, styling (via Tailwind CSS), and JavaScript for user interaction. It's a single-page application that communicates with the backend via API calls.
Backend (AI_Career_Agent.py): A Python-based Flask server that acts as the bridge between the frontend and the AI agent's core logic. It handles API requests, processes file uploads, and routes data to the AI agent.
AI Agent Core (Agentic_AI_Integration.py): A self-contained Python class that represents the brain of the agent. It contains the logic for planning and executing the workflow, including calling upon various tools to find jobs, analyze skills, and recommend learning resources.
File Structure AI_Career_Agent.html: The complete frontend user interface.
AI_Career_Agent.py: The Flask backend server.
Agentic_AI_Integration.py: The core AI agent logic.
mock_job_db.json: A sample database of job listings.
README.md: This file.
Setup and Installation Prerequisites You need to have Python and pip installed on your system.
- Clone the Repository git clone https://github.com/your-username/your-repo-name.git cd your-repo-name
(Note: Replace the URL with your actual GitHub repository URL)
- Install Dependencies Install the required Python libraries using pip.
pip install Flask Flask-Cors
- Add Your API Key The AI agent uses IBM Granite models for reasoning. You must add your API key to the Agentic_AI_Integration.py file.
Open Agentic_AI_Integration.py and replace "YOUR_GRANITE_API_KEY" with your actual API key:
def init(self, granite_api_key): self.granite_api_key = granite_api_key
- Run the Application Start the Flask server from your terminal.
python AI_Career_Agent.py
The server will start on http://127.0.0.1:5000.
- Open the Frontend Now, open the AI_Career_Agent.html file in your web browser. This will load the user interface, which will automatically connect to your running backend.
You should now have a fully functional AI Career Agent running locally.
License This project is licensed under the MIT License.