fly-in

Fly-in is a multi-agent pathfinding simulation using Space-Time A* to coordinate drone fleets. It optimizes routes through complex graphs while enforcing capacity constraints and terrain rules, featuring a real-time Pygame visualizer.

A dynamic, terminal-based drone network simulation application.

42next curriculum project (miliestone 3)

Design an efficient drone routing system that navigates multiple drones through connected zones while minimizing simulation turns and handling movement constraints.

Fly-In is a high-performance simulation engine and visualizer written in Python. It models the routing and traversal of an autonomous drone fleet across complex graph networks constrained by hub capacities, connection limits, and distinct zone movement characteristics.

Fly-In is a drone swarm simulation project focused on intelligent pathfinding, movement strategy, and real-time visualization inside a graph-based environment. The project simulates multiple drones navigating through connected zones while respecting movement constraints such as restricted areas, path capacity, and collision rules. It combines algo

A lightweight web visualizer for the Fly‑in project that animates network maps, drone movements, and turn‑by‑turn routing.