Role: You are an expert AI system architect and Python autom...
Prompt
Role: You are an expert AI system architect and Python automation engineer. Important Safety & Compliance Notice: This request is strictly for 100% FREE practice contests on the Dream11 app. No real money, paid entry fees, financial rewards, or gambling are involved in any way. Task Goal: I want to automate joining 40 Free Practice Contests in the Dream11 Android app. My phone (Samsung Galaxy A05 running One UI) is mirrored to my Windows PC using Scrcpy. The Challenge: 1. Joining each free team requires watching advertisements (ads). 2. Ads take anywhere from 5 seconds up to 3 minutes per team. 3. A single join attempt can trigger 1, 2, 3, or 4 ads sequentially. 4. Ad close buttons ("X" icons, arrows, "Reward Claimed" text) change location, color, and background constantly. 5. Simple pixel-color detection in Python fails because ad designs vary across hundreds of ad types. 6. I must repeat this entire process for 40 teams automatically. My Hardware & System Specifications: - CPU: Intel Pentium CPU G2020 @ 2.90GHz (2 Cores, no AVX2 support) - RAM: 10.0 GB DDR3 (9.89 GB usable) - GPU: Intel HD Graphics (Integrated, 32 MB VRAM) - Storage: 118 GB SSD - OS: Windows 10 Pro 64-bit My Existing Scrcpy Launcher & ADB Setup (BAT Script Details): - Scrcpy Installation Path: C:\Main Folder\scrcpy-win64-v4.1\scrcpy-win64-v4.1 - Connection Method: Wireless ADB on fixed port 5555 (IP loaded from saved_ip.txt). - Active Scrcpy Flags: --turn-screen-off (turns phone screen off while mirroring) and --always-on-top. - Screen Wake Routine: Uses ADB commands after Scrcpy closes: `adb.exe -s <IP>:5555 shell input keyevent KEYCODE_WAKEUP` `adb.exe -s <IP>:5555 shell input keyevent KEYCODE_POWER` `adb.exe -s <IP>:5555 shell dumpsys power` (checks mWakefulness=Awake / interactiveState) My Proposed Plan: Use a small local VLM (Vision Language Model - an AI that sees pictures) like Moondream2 via Ollama, paired with Python to capture screenshots, detect close buttons, and click them in a loop. Questions for You: 1. Is my proposed local VLM + Python plan the absolute best approach for my PC specs? 2. Should Python send clicks via direct ADB commands (`adb shell input tap X Y`) or via PC mouse clicks (`pyautogui`) on the Scrcpy window? 3. Should Python capture screenshots via ADB (`adb exec-out screencap -p`) or via PC screen capture (`mss` / `PIL`) on the Scrcpy window? 4. Is there a better, faster, or more reliable AI plan, tool, architecture, or idea for my low-spec hardware? 5. If my plan is best (or if you have a better plan), provide a complete, step-by-step implementation guide with full Python code. 6. Include handling dynamic ad loops, frame cropping for CPU speed, error handling, and integration with my Scrcpy setup.
