Projeto 1: Automação de Testes com Selenium

Hey everyone! I’d like to share a Python project I’ve been working on about automated testing and job application automation on LinkedIn.

This project was designed to save time and streamline the job application process, and it’s divided into three phases:

✅ Phase 1 – Smart Job Search on LinkedIn

The script automatically logs into your LinkedIn account, searches for jobs based on your preferences, applies selected filters, and extracts key information such as:

• Job title
• Description
• Direct application link

🤖 Phase 2 – AI-Powered CV with ChatGPT

In this phase, the script connects to the ChatGPT API to generate a personalized CV. The AI receives your main details (contact info, work experience, etc.) and adapts your CV based on the job description.

🚀 Phase 3 – One-Click Job Application

With the custom CV ready and the job link saved, the script applies for the job automatically with a single click!

📌 This project is all about saving you time, making your job hunt easier, and giving you peace of mind.

Technologies Used: Selenium, Web Scraping, Puthon, API, GitHub Actions

Tested platforms: Web

Results: Redução de 95% no tempo de validação manual e aumento da cobertura automatizada em 80%.

Ver Código no GitHub
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Projeto 2: Facebook Message & Image Automation Bot

To develop an automation tool using Python and Selenium that can:

• Log in to Facebook automatically
• Search Google Images for inspirational, romantic, or family-related quotes
• Extract the first image found
• Send that image as a message to different contact groups in Messenger (such as parents, family members, or a romantic partner)

Advantages of This Project:

• Simulates real human interaction in a subtle and structured way
• Fully reusable for other use cases (e.g., birthdays, alerts, motivational messages)
• Strengthens knowledge in Selenium, XPath, browser control, and Python modular design
• Demonstrates best practices in code separation, readability, and maintainability

Challenges Faced:

• Facebook uses advanced anti-bot mechanisms, requiring smart tactics to simulate real users
• Google Images layout may vary depending on region and device, requiring flexible element detection
• The system must handle dynamic loading of UI elements and handle slow network conditions
• Facebook login sometimes triggers manual identity verification, which cannot be bypassed by bots

Limitations:

• Facebook may temporarily block accounts that send too many automated messages
• Only image links are sent — it doesn’t upload image files directly
• Requires a clean session and browser setup for each run

Technologies Used: Python 3, Selenium WebDriver, Google Chrome (with optional undetected-chromedriver), Modular architecture and reusable components

Conclusion:

This project was designed to show how web automation can be used to create warm and meaningful interactions. More than just sending a message, it simulates empathy and personalization through a structured and ethical automation flow. It’s a great showcase of how technical skills can be used to create human value.

A powerful example of turning code into care.

Ver Código no GitHub
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