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Miracle Bot – Advanced automation for Tibia 7.4 (Miracle)

Runemaker + cavebot with Tkinter HUD, advanced calibration and .exe packaging

Advanced bot for Tibia OT (Miracle 7.4), with a full desktop UI, runemaker, cavebot, pixel calibration and multiple profiles.

Quick summary
Role
Python developer & automation architect
Core stack
Python · Tkinter · PyAutoGUI · OpenCV
Talk about a similar project
Type
Bot
Status
In development
Role
Python developer & automation architect

Context and objective

Advanced bot for Tibia OT (Miracle 7.4), with a full desktop UI, runemaker, cavebot, pixel calibration and multiple profiles.

I built a full Python bot for the Miracle 7.4 server, combining runemaker and cavebot inside a modern Tkinter HUD. The system includes detailed pixel calibration for battle, mana, monsters and slots, a visual mouse tracker, JSON-saved presets, background-safe execution and .exe packaging through PyInstaller.

The challenge

The core challenge here was not just building a polished interface. It was designing a flow that fit the real business context, reduced operational noise and turned a fragmented process into something clearer, faster and more reliable.

That usually means aligning customer service, decision-making, record keeping, automation and follow-up under one coherent logic. In other words: making the product support the operation, not the other way around.

The solution

I built a full Python bot for the Miracle 7.4 server, combining runemaker and cavebot inside a modern Tkinter HUD. The system includes detailed pixel calibration for battle, mana, monsters and slots, a visual mouse tracker, JSON-saved presets, background-safe execution and .exe packaging through PyInstaller.

Tkinter HUD with light/dark theme support

Runemaker and cavebot modules independently configurable via GUI

Advanced color and screen-region calibration

Profile and preset system saved in JSON

Windows-ready .exe build for easy usage

Real impact

Advanced automation handles repetitive tasks with precision

Pixel-level calibration improves reliability in execution

Technology

PythonTkinterPyAutoGUIOpenCVPyInstaller

My responsibilities

  • Implemented the automation logic for attack, mana, food and flags
  • Built the desktop interface in Tkinter
  • Integrated OpenCV and PyAutoGUI for pixel and screen detection
  • Configured packaging with PyInstaller

Final CTA

If you want to build something like this or reorganize an operation that still depends too heavily on manual work, overloaded customer service or a confusing interface, this is exactly the kind of project where I usually create the most value.