🧠 Job Search Assistant

A powerful, AI-powered assistant designed to streamline your job hunting experience—from scraping job listings to tailoring resumes and preparing for interviews.

🚀 Features

• 🔍 Job Search Automation: Uses SERP API and scraping utilities to find job listings relevant to your profile.
• 🧾 Resume Analysis: Parses and analyzes your resume to match jobs and suggest improvements.
• 🗝️ Keyword Extraction: Automatically extracts key skills from resumes for better job targeting.
• 💬 Interview Preparation Agent: Helps generate potential interview questions and ideal answers based on the job profile.
• 🤖 Modular Agents Architecture: Cleanly separated components for job search, resume parsing, and interview prep.

---

🗂️ Project Structure

Job_Search_Assistant/
│
├── app.py                     # Main entry point for running the assistant
├── config.py                  # Configuration and API key management
├── requirements.txt           # Python dependencies
├── .env                       # Environment variables (API keys)
├── ui_utils.py                # UI-related utilities
│
├── agents/                    # Modular agents
│   ├── job_search_agent.py       # Searches and ranks jobs using SERP API
│   ├── resume_agent.py           # Handles resume parsing and keyword extraction
│   └── interview_agent.py        # Prepares interview Q&A
│
└── utils/                     # Core utility functions
    ├── job_scraper.py            # Scrapes job listings
    ├── job_storage.py            # Stores job listings persistently
    ├── resume_parser.py          # Parses resume text using libraries like PDFMiner
    ├── resume_keyword_extractor.py  # Extracts relevant keywords from resumes
    └── serp_api_searcher.py      # Searches for jobs via SERP API

---

🛠️ Installation

1. Clone the repository

git clone https://github.com/ankush0511/Job_Search_Assistant.git
cd Job_Search_Assistant

2. Create virtual environment (optional but recommended)

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

3. Install dependencies

pip install -r requirements.txt

4. Configure environment

Create a .env file in the root directory and add the following:

SERP_API_KEY=your_serp_api_key_here
OPENAI_API_KEY=your_openai_api_key_here

---

🧪 Usage

Run the main app:

python app.py

The application will begin parsing resumes, fetching job listings, and preparing interview prompts as per the agent configurations.

---

💡 Example Workflow

1. Parse your resume via resume_agent
2. Search for relevant jobs using job_search_agent
3. Store and review job listings
4. Use interview_agent to prepare customized interview questions

---

📦 Dependencies

• openai
• requests
• pdfminer.six
• python-dotenv
• serpapi
• And more in requirements.txt

---

📄 License

This project is licensed under the MIT License.

---

🙋‍♂️ Author

Developed by Ankush