The project enhances urban mobility by detecting parking occupancy with real-time alerts. It uses Kubernetes microservices, load balancer and machine learning (PyTorch, OpenCV). The MERN stack, built with Material UI and Redux Toolkit, supports server-side pagination and aggregation for efficient queries. An API manages data and authentication, while a Python-Telegram GUI enables user interaction.
for more information check the Documentation Notebook
