linkedin-ai-agent

Project Overview

The linkedin-ai-agent is an AI-driven tool that automates LinkedIn engagement using OpenAI. It can perform tasks such as sending connection requests, messages, and interacting with posts.

Features

• Automated LinkedIn engagement
• Customizable interaction settings
• Integration with OpenAI for natural language processing

Usage

1. Clone the repository:

   git clone https://github.com/cordz-del/linkedin-ai-agent.git
   cd linkedin-ai-agent

2. Set up a virtual environment:

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

3. Install dependencies:

   pip install -r requirements.txt

4. Set environment variables (replace with actual credentials):

   export LINKEDIN_USERNAME="your_email@example.com"
   export LINKEDIN_PASSWORD="your_password"
   export OPENAI_API_KEY="your_openai_api_key"

5. Run the application:

   python app.py

AI agent that automates LinkedIn engagement using OpenAI.

Deployment Steps

Clone the Repository

git clone https://github.com/your-username/linkedin-ai-agent.git
cd linkedin-ai-agent

Set Up a Virtual Environment

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

Install Dependencies

pip install -r requirements.txt

Set Environment Variables (Replace with actual credentials)

export LINKEDIN_USERNAME="your_email@example.com"
export LINKEDIN_PASSWORD="your_password"
export OPENAI_API_KEY="your_openai_api_key"

Run the AI Agent

python scheduler.py

Deploy on a Cloud Server (Optional)

• Use AWS Lambda, Google Cloud Functions, or DigitalOcean.
• Alternatively, run it on a VPS (Ubuntu/Debian) with a screen session:

screen -S linkedin-bot
python scheduler.py

Now, the AI agent will run continuously in the background! 🚀