Greedy Cat Result Logger -- 3

@denisSolution

Hello client, I'm Denis Redzepovic, an experienced developer with expertise in Automation, PHP, C++ Programming, Python, Software Architecture, Image Recognition, Excel and OpenCV. 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

@brayanstiven5

Hi, there, I bring forth my expertise in software architecture, automation, image recognition, and Python programming, aligning perfectly with the requirements of the Greedy Cat Result Logger with Hot Item Tracking project. With a keen eye for detail and proficiency in OpenCV and Excel, I propose a comprehensive solution that ensures accurate result monitoring without requiring access to the game source code. ✅ Leveraging image recognition techniques, I will develop a desktop program to monitor the Android emulator screen, visually detect result icons like Tomato, Fish, Pizza, etc., and log them automatically after each round. ✅ By implementing continuous screen monitoring, automatic icon detection, and real-time result logging, the tool will seamlessly track the 'Hot' item and its associated results, ensuring reliable data storage in CSV or Excel format. ✅ The program will include a user-friendly statistics window showcasing the history of results, item frequency, total rounds, and recent results, enhancing the user experience and providing valuable insights for analysis. ✅ Utilizing Python, OpenCV, and screen capture technologies, the tool will run continuously, requiring no manual input and updating statistics in real-time, ensuring efficient operation across LDPlayer and BlueStacks emulators. ✅ Upon completion, you can expect a fully functional desktop application with a Windows executable file (.exe) and detailed instructions on tool operation. I look forward to w

@anirudhat

I've built several screen-capture automation tools using Python and OpenCV that work with both LDPlayer and BlueStacks, so your Greedy Cat result logger is right in my wheelhouse. My approach would use Win32 API for real-time emulator window capture, then apply template matching against a reference library of each food icon (tomato, fish, pizza, corn, etc.) within the defined result region — no game source code or APK modification needed. I'll implement a continuous monitoring loop with change detection to trigger recognition only when a new round result appears, logging each icon with timestamps to a structured CSV for easy stat generation in Excel. I can start immediately and already have a working framework for this type of emulator-based image recognition pipeline.

@NEHABHAT92

As an experienced developer with a solid understanding of complex databases and data handling, I am well-equipped to create a reliable and efficient solution for your unique project. My expertise lies in Python, OpenCV, Image Recognition, and Screen Capturing, all of which are well-suited for the task at hand. Having leveraged these technologies to build process automation systems in the past, I'm confident I can help you develop the Greedy Cat Result Logger that precisely meets your requirements. Moreover, given my extensive experience in both web and mobile development using Android (and iOS), I perfectly comprehend the mechanics behind recognizing specific images from the screen of an emulator. Rather than relying on modification of the application itself, I can create a program that captures and monitors your chosen emulator screen (LDPlayer or BlueStacks) with ease and efficacy. In addition to my technical capabilities, I also prioritize effective communication and established client-relationship management. That means during this project, you can expect prompt updates on progress along with uncompromising support. So let me turn your idea into reality through a sophisticated yet user-friendly Greedy Cat Result Logger - setResult_53.exe. Let's discuss this exciting project further!

@SmartCodeDev

Hello client I can build the desktop screen‑detection tool you described to monitor the Greedy Cat game running in LDPlayer or BlueStacks. The application will use Python with OpenCV and automated screen capture to detect result icons, track the “Hot” item, and log each round automatically without requiring any interaction with the game itself. The system will continuously monitor the defined screen region, recognize icons through template matching, store results in CSV/Excel, and provide a statistics dashboard showing result history, item frequency, percentages, and recent rounds. I will deliver a fully working Windows executable along with clear instructions for running it with your emulator. Looking forward your response. Thank you.

@bpatidar2793

I understand you want a desktop tool that continuously monitors the Android emulator screen while the Greedy Cat game runs and automatically detects round results using image recognition. The core challenge is capturing the emulator screen, identifying result icons reliably, detecting the current hot item, and logging each round without any manual interaction. I have experience building automation tools that use screen capture and OpenCV based template matching to detect UI elements in real time. My approach will focus on stable region detection, accurate icon recognition, automatic result logging to CSV or Excel, and a lightweight statistics dashboard that updates continuously. The goal is a reliable tool that runs unattended and records game outcomes accurately.

@Hemantt841

Hello, I see you need a desktop program to monitor an Android emulator screen for the Greedy Cat game and automatically detect result icons without accessing the game code. Your focus on continuous screen capture and image recognition to log game results and track hot items is clear. Your project requires precise screen monitoring of LDPlayer or BlueStacks, reliable detection of multiple food icons after each round, and automated logging of these results with round counters. Additionally, you want a statistics window showing icon history, frequencies, percentages, and recent results, all running continuously without manual input. I have built Python tools using OpenCV for screen capture and template matching to detect game elements visually, logging data directly into CSV files. For example, I developed a similar monitoring tool for an Android emulator that tracked dynamic icons in real time and generated statistical summaries with a GUI interface. I can deliver a working Windows executable with clear instructions within 7 days. Let’s discuss your exact icon templates and any preferences for the statistics display to ensure the tool fits your needs perfectly.

@venplura

Hi there! Do you need the tool to adapt dynamically if the hot item icons change in design or size during updates? Regardless, this is definitely something that I feel confident delivering on, given my past experience. I would love to discuss your project further! Looking forward hearing from you. Kind Regards, Corné