• Dr.Jayasudha.K
• Mr. Seegan Paul Jeevaraj P
• Mr. Vishwas U S
• Mr. Kiran K

Landslides and earthquakes are the most dangerous natural hazards that cause damage to people’s lives and their belongings and one of the primary causes of landslides seems to be heavy rainfall and earthquakes. This project aims to develop a system that helps identify the earthquake-prone areas using the K-Means machine learning algorithm and then place an IoT system used to detect landslides. The IoT system consists of a soil moisture sensor and accelerometer, we use a data set provided by the Kaggle website to identify the earthquake-prone areas and implement the IoT system to monitor the landslide activities and we use the data generated by the sensor to warn the people in the locality whenever there is a chance of landslide occurrence, as a result, this project is helpful to save people’s lives and properties.

"Earthquake Prediction Using AIML and Landslide Detection Using IoT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.g728-g732, June-2022, Available :http://www.jetir.org/papers/JETIR2206686.pdf

"Earthquake Prediction Using AIML and Landslide Detection Using IoT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppg728-g732, June-2022, Available at : http://www.jetir.org/papers/JETIR2206686.pdf