Budget: 300 USD Deadline: 2 days
Hi Viktor,
I saw the task, and it's pretty exciting. This is something I’m into because it blends gaming with advanced tech like image processing. I’ve been in the dev game for over a decade, working on stuff like this, so I get how tricky it can be. Taking screenshots, extracting all kinds of data—text, images, you name it—and logging them is no small feat. But trust me, it’s doable with the right tools and methods.
For this, I’d look at OCR (Optical Character Recognition). Tesseract OCR is solid for text extraction, and I’ve used it before for real-time data recognition. It’s open-source and customizable, which makes it a good choice for something like this. If there’s any complex UI, I could also use OpenCV for image recognition, mapping elements, and even finding patterns in the layout of the gaming app window.
If the game’s UI updates dynamically, something like PyAutoGUI could handle automated interactions and screenshots. Combining it with libraries like NumPy can make the data extraction faster and more accurate. For text-heavy screens, pytesseract is a great companion to OpenCV. This combo has worked well in my past projects involving GUI automation and data logging.
One idea that could make this better is adding live recognition, like a live feed logging system. Instead of just taking a screenshot, it could continuously monitor the app, extracting data as it changes. This way, there’s no risk of missing anything critical during fast-paced moments in the game.
I’m available to start right now, and I can work over 40 hours a week, so there’s plenty of time to focus and get it done right. Clear communication’s a given—I stay in touch throughout, no gaps. Deadlines and quality are non-negotiable for me.
Looking forward to getting started on this with you. Let’s make it happen.
Jobert
