Cover Letter Builder

Cover Letter Builder is a tool designed to help users quickly generate professional cover letters tailored to specific job positions.

To use this project, you need Python 3.10+. Follow these steps to set up the environment:

Clone the repository:

git clone https://github.com/ajay-paul/Cover-Letter-Builder.git
cd Cover-Letter-Builder

Setup Instructions

1. Create and activate a virtual environment (optional but recommended):

   python -m venv env
   source env/bin/activate  # On Windows, use `env\Scripts\activate`
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Download and configure the LLaMA model:

   • You may follow here to setup Ollama and LLaMA model for language processing.

4. Web Driver Setup for Selenium:

   • Selenium requires a web driver to control browsers.

### Using Edge WebDriver (Windows) Edge WebDriver comes pre-installed on Windows. Ensure your Edge and WebDriver versions match:

1. Check your Edge version under Settings > About Microsoft Edge.
2. Download the matching WebDriver from Microsoft Edge WebDriver if needed.
3. Add WebDriver to your system PATH.

### Using Chrome WebDriver

1. Download the ChromeDriver matching your Chrome version.
2. Unzip and add it to your PATH.

### Using Firefox WebDriver

1. Download GeckoDriver.

2. Extract and add it to your PATH.

   ⚠️ Note:
   If you're using a web driver other than Edge, make sure to import the appropriate driver.

   1. Tesseract OCR:

3. For Tesseract, you may need to install it separately.

### Installation:

• Windows: Download the installer from Tesseract OCR's official website and follow the installation instructions.
• macOS: Install via Homebrew: bash brew install tesseract
• Linux: Install via your package manager:
  • For Ubuntu/Debian: bash sudo apt-get install tesseract-ocr
  • After installation, make sure to add Tesseract to your system's PATH.

Custom Information

1. Define URL in const.py:

   • Update the const.py file with the appropriate URL for the model to access necessary resources.

2. Configure Your Profile Information:

   • Customize your profile with details such as Experience, Skills, and other relevant information in const.py to tailor the cover letter content.

3. Add Custom Prompt in model.py:

   • You can provide an additional prompt to the model in the model.py file. For example:

   response = ollama.chat(
       model='llama3.2',
       messages=[
           {
               'role': 'user',
               'content': (
                   'Based on the web-scraped data, write a cover letter in English for the position. '
                   'You may start with my address, then the company address at the top, then '
                   'start with "Hello Recruiting Team,":\n '
                   'Show my deep motivation for the position\n '
                   f'{job_description}.\n'
                   'Additional information about myself:\n'
                   f'{PROFILE}\n'
                   'Tailor the application to align closely with the specific requirements outlined in the job description.\n'
                   'Job found on your career page.\n'
               ),
           },
       ]
   )

To Run the Program

Navigate to the project directory and run the main file:

cd Cover-Letter-Builder
python -m src.main

License

This project is licensed under the MIT License - see the LICENSE file for details.

Built With

• automation
• llama
• llm
• python