Rapid urbanization and the increasing number of vehicles in metropolitan cities have created serious parking challenges, including traffic congestion, fuel wastage, and environmental pollution. A Smart Parking System using Internet of Things (IoT) and cloud computing offers an efficient solution to optimize parking space utilization and improve urban mobility. This project proposes an IoT-enabled smart parking framework that uses sensors to detect real-time vehicle occupancy and transmits data to a centralized cloud platform for monitoring and management. Ultrasonic or infrared sensors installed in parking slots identify vehicle presence and send status updates through Wi-Fi modules to a cloud server. Microcontrollers such as Arduino Uno or Raspberry Pi are used to process sensor data, while communication modules like ESP8266 ensure seamless IoT connectivity. The cloud platform stores and analysis parking data, enabling users to check slot availability through a mobile application or web interface in real time. The proposed system reduces unnecessary vehicle movement by guiding drivers directly to available parking spaces, thereby minimizing congestion and carbon emissions. It also supports features such as online reservation, digital payment integration, and automated billing. Cloud-based architecture ensures scalability, secure data storage, and remote monitoring suitable for large metropolitan environments. Overall, the Smart Parking System using IoT and cloud technology provides a cost-effective, scalable, and efficient solution to modern urban parking problems, enhancing convenience for drivers while contributing to smarter and more sustainable city infrastructure.