Using Deep learning to sculpt the world.
This project aims to simulate ecologically friendly and sustainable city growth. Using computer vision to observe the real-life trends and reinforcement learning to simulate thousands of possible city models. by imposing smart penalties on the simulated models, we will be able to consider social and economic factors, along with problems like traffic congestions, pollution etc.