Developed a sophisticated bot for LOTRO using OpenCV to enable intelligent path navigation, cursor detection, and automated combat and looting. The system leverages real-time computer vision to interact with dynamic game elements, optimizing gameplay efficiency while minimizing manual intervention
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Built with cutting-edge technologies to ensure scalability, reliability, and performance
Python
Numpy
Scikit Image
PyAutoGUI
A closer look at the automated workflow behind the results
The bot continuously captures the game screen and applies vision algorithms to detect the cursor, enemies, and lootable objects.
NumPy and Scikit-Image process each frame to calculate the optimal navigation path and identify the next combat or loot target.
PyAutoGUI translates the analysis into movement, combat, and looting inputs, running the sequence without manual control.
Measurable outcomes that demonstrate the real-world value delivered to the client
For players, repetitive combat and looting sequences in LOTRO consume hours that could go toward more strategic parts of the game, and manually tracking a fast-moving screen for the right cursor state or target is tiring to sustain. Using computer vision to read the screen and drive navigation and combat automatically removes that repetitive burden, letting a character progress through routine tasks unattended. Beyond the game itself, the same real-time vision and input-automation approach applies directly to other repetitive, screen-based tasks that would otherwise require constant manual attention.
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