AI-powered game development.
This section presents the main research and development direction of AimanGul: using artificial intelligence to understand game screens, generate game logic, and help developers build faster.
01
Game-screen understanding
Detect players, enemies, bullets, coins, platforms, hazards, backgrounds, and static objects from 2D screenshots.
02
Sprite and object mapping
Convert detected objects into structured sprite definitions, layers, properties, and possible behaviors.
03
AI-assisted game logic
Generate interaction rules such as collect, kill, bounce, spawn, transform, patrol, and collision actions.
04
Godot and C# tooling
Build practical tools that generate scenes, scripts, project files, and runtime behavior for game prototypes.
Roadmap
From image to playable prototype.
1
Input
Upload or capture a 2D game screenshot.
Upload or capture a 2D game screenshot.
2
Analyze
Detect visual objects, layers, roles, and likely interactions.
Detect visual objects, layers, roles, and likely interactions.
3
Generate
Create structured game data, Godot scenes, and scripts.
Create structured game data, Godot scenes, and scripts.
4
Play and refine
Run the prototype, test behavior, and improve rules.
Run the prototype, test behavior, and improve rules.