LinkedIn Automater AI 🤖✨

Welcome to LinkedIn Automater AI, your new best friend for automating LinkedIn job applications. Ever dreamt of having a robot do your job hunting? Well, now you have one. Just hope it doesn’t start applying for jobs on Mars. 🚀

Table of Contents

• Introduction
• Setup
• Configuration
• Shoutouts
• Contributing
• License

Introduction

Are you tired of endlessly copying and pasting your resume into job applications? Do you wish you had a personal assistant that actually does something useful? Look no further! LinkedIn Automater AI is here to take over your LinkedIn job applications with style and efficiency. 🌟

Setup

To get started, you’ll need to set up a Python virtual environment to keep things tidy. If you’re not familiar with virtual environments, don’t worry—it's like a sandbox for your Python projects. 🏖️

1. Clone the repository and open its folder:

   git clone https://github.com/akshay-k-a-dev/LinkedIn_Automater_AI
   cd LinkedIn_Automater_AI

2. Create a virtual environment:

   python -m venv venv

3. Activate the virtual environment:

   • On Windows:

     venv\Scripts\activate

   • On macOS/Linux:

     source venv/bin/activate

4. Install dependencies:

   pip install -r requirements.txt

5. Run the application:

   python3 main.py

Configuration

Before you start automating your job applications, you need to configure a few things. Don’t worry, it’s easier than making a cup of coffee. ☕

1. Create and configure the YAML files in the data_folder:

   • config.yaml: This is where you configure the automation parameters. Think of it as your personal job application settings menu.

   • plain_text_resume.yaml: Your resume in plain text. If you don’t have one, it’s time to dust off that old resume and give it a makeover.

   • secrets.yaml: This file contains sensitive information like your LinkedIn email, password, and Gemini API credentials. Make sure to keep it safe and secure. 🛡️

Shoutouts

A huge shoutout to the awesome folks who inspire us:

• LinkedIn Auto Jobs Applier with AI: They’ve set the bar high by using the OpenAI API. Kudos to them! 🌟

• Libraries we use (and couldn’t live without):

  • langchain, langchain-community, langchain-core, langsmith
  • Levenshtein, regex, reportlab, selenium, webdriver-manager
  • And many more in requirements.txt!

  Special thanks to lib_resume_builder_AIHawk for their incredible resume-building library. 🙌

Contributing

Found a bug? Have an idea for a cool feature? We welcome contributions! Feel free to open an issue or submit a pull request. Help us make this project even better, and let’s automate the world together. 🌍💡

License

Distributed under the GLP3 license. See LICENSE for more information.

Happy automating! 🚀