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Dr. Mohammed Abduljaleel Shaneen — Ph.D. in Artificial Intelligence from the University of Technology (Researcher, Academic, and Software Developer)

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NeuroRoute AI - Neural Path Planning & Genetic Search System
AI ProjectsPathfindingNeuroRoute AIA* SearchNeural Cost FieldGenetic EvolutionGrid PlanningRoute Optimization

NeuroRoute AI - Neural Path Planning & Genetic Search System

An AI pathfinding platform combining graph search, neural cost fields, and genetic algorithms for optimal route optimization.

Beneficiary

Logistics & Supply Chain Companies, Autonomous Vehicle R&D, Robotics Labs & AI Researchers

Project Year

2022

Project Details

NeuroRoute AI is a path-planning engine designed for spatial navigation, logistics, and autonomous routing. It combines classical A* graph search with a compact neural feed-forward cost field and a genetic population manager. Users can manipulate grid dimensions, paint obstacles, adjust terrain cost, set risk or turning penalties, and visualize vehicle navigation in real-time with full light and dark mode integration.

Technologies

JavaScript (ES6+) / HTML5 CanvasReact.js / Next.jsTailwind CSSA* Search AlgorithmCustom Neural Feed-Forward NetworkGenetic Algorithm Engine

Project Gallery

NeuroRoute AI - Neural Path Planning & Genetic Search System