{"id":26707216,"url":"https://github.com/machinelearningprodigy/obstacle-fighter","last_synced_at":"2026-04-19T13:32:11.838Z","repository":{"id":251142317,"uuid":"836523141","full_name":"machinelearningprodigy/Obstacle-Fighter","owner":"machinelearningprodigy","description":"Web Game is a simple browser-based game where players control a character using arrow keys or WASD to avoid obstacles and survive as long as possible. 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The game features multiple difficulty levels, a pause/resume system, and an interactive menu.\n\n## 🔥 Features\n- **🎛️ Main Menu**: Start the game, view instructions, and select difficulty levels.\n- **📜 Instructions Page**: Learn how to play the game.\n- **⚙️ Difficulty Levels**: Choose between Easy 🟢, Medium 🟡, and Hard 🔴.\n- **🎮 Game Controls**: Pause ⏸️, resume ▶️, and return to the main menu 🏠.\n- **💡 Dynamic UI**: Different screens appear based on user actions.\n\n## 🕹️ How to Play\n1. Open `index.html` in a web browser 🌐.\n2. Click `Start Game` ▶️ to begin.\n3. Use arrow keys ⬆️⬇️⬅️➡️ or WASD 🎮 to move.\n4. Avoid red obstacles ❌ and survive as long as possible ⏳.\n5. Use the pause button ⏸️ to take a break.\n6. Select difficulty from the main menu ⚙️.\n\n## 🛠️ Installation\n1. Clone the repository:\n   ```sh\n   git clone https://github.com/machinelearningprodigy/Obstacle-Fighter.git\n   ```\n2. Open the project folder and run `index.html` in a web browser 🌐.\n\n## 📂 Files\n- `index.html` - Main structure of the game.\n- `styles.css` - Styling for the game UI 🎨.\n- `script.js` - Game logic and event handling 🖥️.\n\n## 🚀 Future Enhancements\n- 🔊 Add sound effects and background music.\n- 🎨 Improve graphics and animations.\n- 🏆 Implement a scoring system.\n\n## 📜 License\nThis project is licensed under the MIT License.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachinelearningprodigy%2Fobstacle-fighter","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmachinelearningprodigy%2Fobstacle-fighter","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachinelearningprodigy%2Fobstacle-fighter/lists"}