Скачать или смотреть LIAN Project Visualizing Pathfinding Algorithms on Real Maps (A*, Dijkstra, Greedy)

🔍 Explore how the Location Intelligence Algorithm Network (LIAN) brings pathfinding algorithms to life on real-world maps using OpenStreetMap, Python (Flask), and web-based visualizations!

This video demonstrates how LIAN allows users to interactively select source and destination points on a dynamic map and visualize how classical algorithms like A*, Dijkstra's, and Greedy Best-First Search compute optimal paths in real time.

💡 Key Features:

✅ Real-time algorithm visualization on OpenStreetMap
✅ A*, Dijkstra, and Greedy Best-First Search implementations
✅ Node exploration animation and performance metrics
✅ Built with Flask (Python), Leaflet.js, and PostgreSQL
✅ Educational tool for students, researchers & smart city planners

📚 Technologies Used:

Python 3.11

Flask Web Framework

HTML5, CSS3, JavaScript

Leaflet.js for interactive maps

OpenStreetMap (OSM) data

PostgreSQL for user authentication

🎓 Ideal for:

Computer Science students & educators

AI & Data Structures learning environments

Urban mobility researchers and logistics planners

Anyone interested in real-world algorithm simulations

📂 GitHub Repository:
🔗 https://github.com/AalamPunk/LIAN-1.0.git

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