Case study
Word Hunt Bot — Real-Time Mobile Game Automation
A computer-vision and automation system that detects a mobile Word Hunt board, generates valid word paths, and interacts with the game automatically.
Snapshot
Technology
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Case study
System breakdown
01
Overview
A real-time automation tool that reads a mobile game board, computes valid word paths, and interacts with the game.
02
Problem
The challenge was to combine fast visual detection, board search, and reliable mobile interaction under tight latency constraints.
03
Solution
Used OCR and computer vision to detect board state, generated valid paths, and automated interactions through mobile tooling.
04
Personal contribution
Built the board-detection, path-generation, and automation workflows.
05
Technical architecture
Python vision pipeline, Tesseract OCR, Appium automation, and an Electron/TypeScript interface.
06
Results
Solved boards in under one second.
Visual layer
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