A Prediction Model and Early Warning System for Flood, Cyclone and Landslide: Empowering Social Resilient

Purpose of the project is to predict flood, cyclon, landlside in Sri Lanka and inform to the common people about saftey Dataset and source used for training & testing is available

Mobile Application is developed using Andorid studio

Programming Langauge used is Java Backend services used is Firebase

Models used in the project implemented using Python language and models are

Random Forest 
XGBoost 

Project is developed by group of 4 students in 2nd year Artificial Intelligence & Data Science at Informatics Intitute of Information Technology in Sri Lanka affiliated by Robert Gordon univeristy Abreden, Scottland for the module CM2603 Data Scienece Group Project