📄 Resume Optimizer

An AI-powered tool that automatically tailors your resume to match specific job descriptions. Using Google's Gemini AI, it analyzes your existing resume against a job description (JD) and generates a new, optimized version with improved keywords and phrasing.

🚀 Features

• Intelligent Analysis: Uses Gemini AI to understand context and matching requirements.
• Docx Support: Reads and Writes directly to Microsoft Word (.docx) files.
• Smart Replacement: Identifies specific text blocks in your resume and replaces them with tailored content while maintaining document structure.
• Automated Workflow: Simple command-line interface to run the entire process.

🛠️ Tech Stack

• Language: Python 3
• AI Model: Google Gemini Pro (google-generativeai)
• Document Processing: python-docx
• Environment Management: python-dotenv

📦 Installation & Setup

1. Clone the repository:

   git clone https://github.com/dineshingale/Resume_Optimizer.git
   cd Resume_Optimizer

2. Set up a virtual environment (Optional but Recommended):

   python -m venv venv
   # Windows
   .\venv\Scripts\activate
   # macOS/Linux
   source venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

4. Configure API Key: Create a .env file in the root directory and add your Google Gemini API key:

   GEMINI_API_KEY=your_actual_api_key_here

📖 Usage

1. Prepare your Input Files:

   • Place your resume file at: data/input/resume.docx
   • Place the job description text at: data/input/jd.txt

2. Run the Optimizer:

   python run.py

3. Get Results:

   • The script will analyze the documents and apply changes.
   • Find your optimized resume at: data/output/updated_resume.docx

📂 Project Structure

Resume_Optimizer/
├── data/
│   ├── input/       # Place your resume.docx and jd.txt here
│   └── output/      # Generated resumes will appear here
├── src/
│   ├── ai_engine.py    # Handles interaction with Gemini API
│   ├── docx_handler.py # Reads and modifies Word documents
│   ├── main.py         # Main orchestration logic
│   └── prompts.py      # System prompts for the AI
├── run.py           # Entry point script
├── requirements.txt # Python dependencies
└── .env             # Environment variables (API Key)

⚠️ Notes

• Ensure your .docx file is not open in Word while running the script, or it may fail to save.
• The tool works best with text-based resumes. Complex layouts with text boxes may require manual adjustment.

🤝 Contributing

1. Fork the repository.
2. Create a feature branch (git checkout -b feat/amazing-feature).
3. Commit your changes (git commit -m 'feat: add amazing feature').
4. Push to the branch (git push origin feat/amazing-feature).
5. Open a Pull Request.