Maze Solver and Ad Automator
Pain Points (Public)
Operators running automated testing or reward workflows on ad-supported mini-games face repetitive manual overhead solving 2D grid mazes and handling post-level promotional screens, lacking a dependable hands-off pipeline.
Suggested Approach (Public)
Develop a compact automation agent that captures screen frames to extract grid coordinates, calculates optimal traversal paths using a Breadth-First Search (BFS) algorithm, and dispatches simulated inputs via PyAutoGUI or ADB while handling post-game advertisement flows autonomously.
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Opportunity assessment PRO
Development brief PRO
- Sell the bounded outcome of Maze Solver and Ad Automator, not a general service bundle: Manual solving of mazes and managing advertisements is time-consuming and requires constant human intervention, leading to inefficiencies and potential errors. There is a need for a hands-off, automated solution
- For Maze Solver and Ad Automator, first capture allowed inputs, task context, expected output, known failure cases, and approval ownership in one reviewable intake record
Competitor evidence PRO
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Public Demand Evidence · 2 task(s)
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