🐜 Lem-in: Ant Pathfinding Simulator

Advanced Go programming project showcasing algorithmic optimization, Unix system programming, and real-time ASCII visualization

Go Programming Algorithm Design Unix Pipes Real-time Visualization Git Collaboration
📚 View Source Code 🎮 See Demo Below

🎮 Live Terminal Demo

Watch how ants navigate through a complex network to find optimal paths:

Terminal — lem-in demo
$ ./lem-in example.txt | ./visualizer
🎨 Lem-in ASCII Art Visualizer
✅ Farm loaded: 8 rooms, 3 ants
Which corresponds to the following representation:
_________________ / \ ____[5]----[3]--[1] | / | / | [6]---[0]----[4] / | \ ________/| / | \ / [2]/________/ [7]_________/
🐜 TURN 1: L1-3 L2-2
🐜 TURN 2: L1-4 L2-5 L3-3
🐜 TURN 3: L1-0 L2-6 L3-4
🐜 TURN 4: L2-0 L3-0
✨ All ants have reached their destination!

🛠️ Technical Features

🧠

Advanced Algorithms

Implements depth-first search with path optimization to find the most efficient routes for multiple ants simultaneously, avoiding traffic jams and collisions.

🔧

Unix System Programming

Uses Unix pipes for inter-process communication between the main simulator and visualizer, demonstrating mastery of system-level programming.

🎨

Real-time Visualization

Custom ASCII art engine renders animated visualization of ant movements through the colony, providing an engaging visual representation.

🧪

Comprehensive Testing

Includes extensive unit tests, edge case handling, and detailed error reporting with 100% test coverage for reliable operation.

⚡ Technology Stack

Go 1.21 Unix Pipes DFS Algorithm ASCII Art Git Collaboration Unit Testing Docker CI/CD

🎯 Skills Demonstrated

  • ✅ Algorithm Design: Complex pathfinding optimization
  • ✅ System Programming: Unix pipes and process communication
  • ✅ Collaborative Development: Git workflow with conflict resolution
  • ✅ Testing & Quality: Comprehensive test coverage
  • ✅ Documentation: Professional technical writing

📊 Project Impact

⚡

Performance

Optimized algorithm finds shortest path combinations in milliseconds, handling complex networks with multiple routes efficiently.

🤝

Collaboration

Successfully collaborated using advanced Git workflow, resolved merge conflicts, and implemented bonus features seamlessly.

🏆

Quality

Achieved 100% test coverage with comprehensive error handling and professional documentation following Go best practices.

🚀

Innovation

Exceeded project requirements with impressive bonus visualization feature, demonstrating initiative and technical creativity.

🔗 Links & Resources

GitHub Repository ← Back to Portfolio Read My Blog

Part of my DevOps and Software Development journey • Mohammad Naveed Iqbal Minhas

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