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The project aims to develop a 2D racing game, TurboTracer, featuring player-controlled car and AI opponents trained by using Genetic Algorithm.

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MudasirNaeem1/MachineLearning-TurboTracer-AI-Racing-Bot

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🔍 TurboTracer - The AI Racing Bot

JavaScript HTML5 AI Status

TurboTracer is an innovative 2D racing game that showcases the power of Genetic Algorithms in creating intelligent AI opponents. Players race against AI-driven cars that learn and evolve their racing strategies through advanced machine learning techniques.

graph LR
    A[🎮 Player Car] --> B[🏁 Race Track]
    C[🤖 AI Opponents] --> B
    D[🧬 Genetic Algorithm] --> C
    B --> E[📊 Performance Analysis]
    E --> D
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Key Features

🎮 Gameplay

  • Player-Controlled Racing - Smooth car controls
  • AI Opponents - Intelligent racing bots
  • Dynamic Racing - Challenging gameplay
  • Real-time Competition - Live AI adaptation

🏁 AI Technology

  • Genetic Algorithm - Evolution-based learning
  • Performance Optimization - Continuous improvement
  • Behavioral Analysis - AI strategy assessment
  • Adaptive Intelligence - Learning from races

🛠️ Technology Stack

Technology Purpose Implementation
JavaScript Game Logic & AI Core Development
HTML5 Canvas Rendering Graphics Engine
Genetic Algorithm AI Training Machine Learning
VS Code Development IDE Code Editor

🎯 Objectives & Results

🎪 Project Goals

🎯 Primary Objectives:

  • ✅ Demonstrate Genetic Algorithm applications in gaming
  • ✅ Create challenging AI opponents for racing scenarios
  • ✅ Design engaging gameplay mechanics
  • ✅ Assess and analyze AI performance metrics

📊 Achieved Results

🏆 Key Achievements:

  • Successful AI Implementation - Genetic Algorithm integration
  • Promising Performance - Effective AI behavior evolution
  • Performance Analysis - Comprehensive AI trend evaluation
  • Strategic Insights - Identified gameplay enhancement opportunities

🚀 Quick Start

📋 Prerequisites

  • Modern web browser (Chrome, Firefox, Safari)
  • Basic understanding of racing games

🎮 How to Play

# 1. Clone the repository
git clone https://github.com/MudasirNaeem1/MachineLearning-TurboTracer-AI-Racing-Bot.git

# 2. Navigate to project directory
cd MachineLearning-TurboTracer-AI-Racing-Bot

# 3. Open in browser
# Simply open index.html in your web browser

# 4. Start Racing!
# Use arrow keys to control your car and race against AI opponents

🎮 Game Controls

Control Action
⬆️ Arrow Up Accelerate
⬇️ Arrow Down Brake/Reverse
⬅️ Arrow Left Turn Left
➡️ Arrow Right Turn Right

📊 Genetic Algorithm Insights

🔬 AI Learning Process:

  • Population Generation - Create diverse AI car behaviors
  • Fitness Evaluation - Assess racing performance metrics
  • Selection & Crossover - Breed successful racing strategies
  • Mutation - Introduce behavioral variations
  • Evolution - Continuous improvement across generations

🔮 Future Enhancements

  • 🏁 Multiple Race Tracks - Diverse racing environments
  • 🎨 Enhanced Graphics - Improved visual experience
  • 📊 Advanced Analytics - Detailed AI performance metrics
  • 🏆 Tournament Mode - Competitive racing leagues
  • 🎵 Sound Effects - Immersive audio experience

🌐 Connect & Collaborate

💬 Feedback & Questions

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Have questions or suggestions? 💭 Open an issue!

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The project aims to develop a 2D racing game, TurboTracer, featuring player-controlled car and AI opponents trained by using Genetic Algorithm.

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