Abstract
Landslides pose significant threats to both human lives and infrastructure, especially in regions prone to geological instabilities. Timely detection of early signs of potential landslides is crucial for mitigating the risks associated with these natural disasters. This project introduces an innovative approach utilizing the NodeMCU platform, integrated with a suite of sensors including accelerometers, gyroscopes, and moisture detectors, to create an early landslide detection system. By continuously monitoring ground conditions, including soil moisture levels and ground vibrations, the system employs real-time data analysis and anomaly detection algorithms to provide early warnings to relevant authorities and communities. The implementation leverages the versatility and connectivity capabilities of C, ensuring seamless data transmission for remote monitoring and rapid response. This project not only showcases the potential of IoT technology in enhancing natural disaster preparedness but also underscores its significance in safeguarding lives and property. The experimental results and performance evaluation demonstrate the effectiveness of the proposed system in detecting early signs of landslides, offering a promising solution for proactive risk management in landslide-prone areas. Keywords: Embedded based,NodeMCU
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