IoT based Prior Detection and Alert System for Landslide

This project aims to make an IoT system for detecting landslides by monitoring various environmental conditions continuously. Parameters such as soil moisture, rainfall, vibrations, and temperature are collected in real time to predict potential landslides. Cloud based algorithms analyse the sensor data for accurate predictions, improving early warning and disaster response efforts. Solar-powered sensors provide sustainable energy, ensuring uninterrupted monitoring in remote areas without access to the electrical grid. The system reduces response times by providing immediate alerts, helping mitigate damage in landslide-prone regions. Our project mainly aims in detection of landslide in prior and it alert in advance to the surrounding areas and save lives of people. This scalable, efficient solution enhances disaster management by integrating advanced technology for better landslide prevention strategies.