Game to test autonomous robot Forest Firefighting using machine learning and A.I. -- 2

The objectives of the project are: Swarm Intelligence Models in Simulated Environment For Autonomous Drone and Quadruped Robot Wildfire Suppression to be launched as a game to test autonomous wildfire supression technology: The software will simulate the dispersion of fire using an algorithm. Also calculate the wind effect. This simulation will have drones and quadruped robots. Image processing can be done with cameras on robots and drones. The software will simulate the progress of the fire Computer models using data, math and computer instructions to predict events in the real world. Reality-based generation of virtual environments for digital earth Simulating the forest fire plume dispersion  AI to control drones and quadruped robot using Deep Reinforcement Learning In general, conforming to commercially available tech, specification, standards. The robots act in swarming group formation, with machine learning for optimization After deploying or using the firestinguisher or when the battery is low it can automatically come to refuel station or gahering point or refuel water in a lake. The player will be able to choose the fire position, wind direction and different test scenarios