This work presents an innovative system designed for remote monitoring of landslides using IoT technology. The solution uses a wireless underground sensor network (WUSN), a cloud computing platform and a dedicated mobile application to provide real-time monitoring capabilities. In this system, a sensor network uses Arduino components connected via Wi-Fi modules to collect data on soil moisture levels. This collected data is then transferred to a cloud computing environment for secure and permanent storage. In addition, the cloud platform hosts the model that can trigger alarms when potential landslides are detected. In addition, the system includes a user-friendly mobile application that facilitates real-time data visualization and alerts on potential landslides. This end-to-end solution, from humidity sensor data collection to citizen-facing data visualization, is particularly suitable for smart cities and IoT environments. The effectiveness of the system was evaluated with both real-life tests and simulated scenarios. The results show that the network of sensors accurately measures soil moisture, while the landslide monitoring model continuously sends alerts when necessary.