Python-Driven macOS Quiz Automation NOTE $30 BUDGET FOR ALL AND MUST WORK

@denisSolution

Hi client, I'm Denis Redzepovic, an experienced developer with expertise in API Integration, Hugging Face, AI Development, Python, Mac OS, Software Architecture, Documentation, OCR, Automation and Objective C. I have worked extensively on diverse Python projects, ranging from backend development and automation to data processing and API integrations. My deep understanding of Python’s libraries and frameworks allows me to build efficient, scalable, and maintainable solutions. I pay close attention to code quality and performance to ensure your project runs flawlessly. With my solid experience, I’m confident I can deliver results that exceed your expectations. I focus on writing clean, maintainable, and scalable code because I know the difference between 99% and 100%. If you hire me, I’ll do my best until you’re completely satisfied with the result. Let’s discuss your project details so I can tailor the perfect Python solution for you. Thanks, Denis

@kuafu

Hello! I'm Ryan, and I'm incredibly excited about your macOS quiz automation project! With 18 years of experience in Python development, including extensive work with automation, OCR, and AI integration, I'm confident I can deliver a reliable and effective solution, even within the $30 budget (though I'll admit, it's a tight one!). I've built similar scripts leveraging PyAutoGUI, OCR libraries like Tesseract and PaddleOCR (including bounding box extraction), and various AI APIs including Together AI and Hugging Face. I'm also very familiar with handling macOS Retina scaling, ensuring precise cursor placement. I understand the need for hotkey activation ("/") across all applications, configurable AI backends (via config file or .env), and the prioritization of DOM parsing (Playwright/Selenium) with OCR as a fallback. I can certainly implement the hover-over functionality before clicking. I'm committed to providing a well-documented, polished script with clear setup instructions and ongoing communication throughout the process. Let's discuss how I can bring your vision to life!

@khuzaima024

Hi, I’ll build a Python automation script for macOS that triggers on /, captures the screen, extracts question/choices via OCR or DOM (fallback), and integrates with configurable AI backends. The script will handle Retina scaling, provide bounding box coordinates, and support both hover and auto-click on the predicted answer. Delivery includes polished code, setup guide, and README for easy backend switching and reliable use.

@shakilan4

Hello, I can build a Python automation script for macOS that triggers with “/”, captures the screen, extracts question and choices via OCR with bounding boxes, uses DOM parsing as primary and OCR as fallback, integrates with AI backends (Together AI, Hugging Face, Ollama), and clicks the correct answer with proper Retina scaling. It will include error handling, setup guide, and easy config for AI switching. Best regards, Shakila Naz

@creativebooster

I have reviewed project details, I will develop a macOS automation script that captures the screen, extracts question and options via OCR, queries an AI model for the correct answer, and clicks the corresponding choice automatically. Could you please confirm which AI model/API you prefer to use for predictions: Together AI, Hugging Face, or Ollama? Send me a message so we can finalize the details and get started today. Thanks, Raza

@raymundop5

Hello, I’m Raymundo, fullstack developer with 7 years experience. I’ve also worked quite a bit with Python automation, OCR libraries, and APIs, so your project sounds like something I could get running smoothly on macOS. My plan would be to set up a script that listens for your global “/” hotkey, grabs the current screen, runs it through OCR (with PaddleOCR for bounding boxes), and tries DOM parsing first if the page structure allows it. Then I’d wire it up so the AI backend is pluggable through a simple config or .env, returning the answer and moving or clicking the cursor in the right spot while handling Retina scaling. I have some questions regarding your project: do you want the default behavior to be automatic clicking, or just hovering unless you toggle it in the config? And for DOM parsing, is the content always web-based inside a browser, or could it sometimes be native apps too? Happy to make this lightweight and easy to run with clear setup docs. Let me know how you’d like to proceed. Raymundo