The Glacial Lake Outburst Floods (GLOFs) prediction using XGBoost is an advanced early detection platform aimed at reducing the risks associated with GLOFs, which are becoming more frequent due to climate change. Glacial lake outburst floods (GLOFs) occur when a glacial lake overflows its natural boundaries, releasing large amounts of water that can cause significant damage downstream. While global temperatures rise, the area of these lakes is increasing, which, in turn, increases the chances of such events happening and poses harm to human settlements and infrastructure, as well as ecosystems? It does so by monitoring the size of the lakes, water levels, temperatures, and the state of natural dam structures. By combining real-time data with algorithms, the system can forecast potential damage. With this, authorities can take measures in advance and mitigate the damage. In addition, the system provides valuable information for forecasting, easterly infrastructure services, and resource saving. This assists governments and responders in flood control planning and realization of social measures. By continuous monitoring and studying the situation, the GLOF warning system increases disaster preparedness and shifts the focus to protecting people and minimizing flood consequences.