RetroSnake AI transforms the classic Snake game into an intense battle between human reflexes and artificial intelligence. Players compete against an AI-controlled snake powered by A Pathfinding, heuristic survival logic, and real-time decision making — creating a strategic and competitive arcade experience rather than a traditional snake clone.*
RetroSnake AI is not just another snake game.
This project was designed to combine:
- Classic retro snake gameplay
- Artificial Intelligence
- Real-time pathfinding
- Survival-based decision making
- Android game development
- Dynamic UI interactions
Unlike traditional snake games where enemies move randomly, the AI snake in RetroSnake intelligently calculates the safest and shortest possible route using the A* Pathfinding Algorithm along with additional survival heuristics to avoid self-destruction.
The project was fully developed in Kotlin using Android Studio and includes custom rendering, game loops, touch handling, AI movement systems, settings management, sound systems, and animated UI components.
- Uses A* Pathfinding Algorithm
- Dynamically recalculates paths
- Avoids obstacles and collisions
- Prevents self-trapping situations
- Competes against player in real time
Along with A* pathfinding, additional logic was integrated to improve AI survival:
- Safe movement validation
- Collision prediction
- Escape route checking
- Future path estimation
- Heuristic-based danger analysis
- Suicide prevention logic
This makes the AI behave more intelligently than traditional snake implementations.
- Neon green retro theme
- Smooth animations
- Arcade-inspired visuals
- Responsive game rendering
- Custom drawn canvas components
Players can:
- Change snake color
- Change player name
- Toggle music
- Pause/resume gameplay
- Access help/how-to-play screens
Integrated:
- Background music
- Eating sound effects
- Death sound effects
Using:
SoundPoolMediaPlayer
Different levels modify:
- Snake speed
- AI aggressiveness
- Gameplay intensity
| Technology | Purpose |
|---|---|
| Kotlin | Core Android Development |
| Android Studio | Development Environment |
| A* Algorithm | AI Pathfinding |
| Canvas API | Custom Rendering |
| SoundPool | Sound Effects |
| MediaPlayer | Background Music |
| SharedPreferences | Saving Settings |
| HTML Asset Page | Home/Menu Integration |
The enemy snake uses the A* algorithm to calculate the most efficient path toward food.
The algorithm evaluates:
- Current snake position
- Food position
- Obstacles
- Snake body positions
- Future movement possibilities
The project primarily uses:
- Manhattan Distance Heuristic
Formula:
h(n) = |x1 - x2| + |y1 - y2|
This helps the AI efficiently estimate the shortest route on a grid-based map.
app/
│
├── AStarPathfinder.kt → AI pathfinding logic
├── GameEngine.kt → Core game mechanics
├── GameView.kt → Rendering + touch handling
├── MainActivity.kt → Android activity controller
├── gamelevel.kt → Difficulty management
│
├── assets/
│ └── index.html → HTML home screen
│
├── res/
│ ├── drawable/ → UI assets
│ ├── raw/ → Sound files
│ └── values/ → Themes/colors/strings
- Controlled through touch gestures
- Collects food to grow
- Dies on collision
- Searches optimal food path
- Avoids dangerous routes
- Competes with player
Handles:
- Wall collision
- Self collision
- AI collision
- Head-to-head interaction
Unlike common snake games such as:
- Snake.io
- Slither.io
- Worms Zone
RetroSnake AI focuses heavily on:
- Algorithmic intelligence
- AI survival strategies
- Real-time pathfinding
- Educational AI implementation
- Offline single-player AI competition
This project behaves more like an AI simulation than a casual snake clone.
Through this project:
- Advanced pathfinding algorithms were implemented
- Android game loops were developed
- Real-time rendering systems were created
- AI decision-making systems were explored
- Mobile UI/game integration was achieved
- Multiplayer mode
- Machine Learning based AI
- Online leaderboard
- Procedural obstacles
- Dynamic maps
- Genetic Algorithm based learning AI
- Reinforcement Learning integration
git clone YOUR_REPOSITORY_LINK- Open project folder
- Sync Gradle
- Run on Emulator or Android Device
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