This is a web automation tool that automates interactions with platforms like Wellfound. It includes a frontend built with Next.js for user interaction and a backend powered by Python and Selenium for automated browser control. Demo Link: https://drive.google.com/file/d/1_LE8chAna4x5DMo02f3IgeQgdDK6LsjQ/view?usp=sharing

• Automated login and navigation on websites using Selenium.
• Send predefined messages to specified threads on Wellfound.
• Browser automation with configurable delays to mimic human behavior.
• Frontend built with Next.js for easy user interaction and configuration.

• Framework: Next.js
• Languages: JavaScript/TypeScript
• Styling: Tailwind CSS (or another styling framework, if applicable)

• Language: Python
• Libraries: Selenium, WebDriver, WebDriverWait

1. Clone the repository:

   git clone https://github.com/yourusername/DexyAI.git
   cd DexyAI/backend

2. Install dependencies:

   pip install -r requirements.txt

3. Download the appropriate ChromeDriver version for your Chrome browser and place it in a directory, e.g., /usr/local/bin/.

4. Update the service path in the send_message.py file to point to your ChromeDriver binary.

1. Navigate to the frontend directory:

   cd ../frontend

2. Install dependencies:

   npm install

3. Start the development server:

   npm run dev

• Set your credentials in the send_message.py file:

  WELLFOUND_EMAIL = "your_email@example.com"
  WELLFOUND_PASSWORD = "your_password"
  THREAD_URL = "https://wellfound.com/jobs/messages/thread_id"
  MESSAGE = "Hello, this is an automated message!"

• Adjust delays (time.sleep) to mimic human browsing behavior.

• Update the API endpoints in the Next.js application to connect to the backend.

1. Start the backend:

   python send_message.py

2. Start the frontend:

   npm run dev

3. Open the frontend in your browser (typically at http://localhost:3000), configure your message, and start the automation process.

• Ensure your Chrome version matches the ChromeDriver version to avoid compatibility issues.
• Use different user agents in Selenium to avoid detection.

This project is licensed under the MIT License.

Contributions are welcome! Please open an issue or submit a pull request.