In the Himalayan region of India, rising temperatures have accelerated the melting of glaciers, increasing the Glacial Lake Outburst Floods (GLOFs). These floods result in damage to infrastructure such as roads, hydropower plants also posing risks to human life. Recent events in Uttarakhand, Sikkim highlight the urgency of addressing this challenge. how GLOFs are caused and how advanced sensor technology is used for early detection and warning. GLOFs occur when the ice or natural dam containing a glacial lake bursts, often due to pressure from rising water levels, seismic activity, or melting from higher temperatures. The floodwater rushes downstream, causing widespread destruction. GLOFs can wipe out entire communities, damage critical infrastructure like bridges and hydropower plants, and lead to significant economic losses. To mitigate the risk of GLOFs, advanced sensors are deployed to monitor environmental factors such as water levels, temperature, seismic activity, stress on glacial dams, rainfall. These sensors collect real-time data, which is transmitted via satellite to a central monitoring system. Once the data is collected, it is compared to historical records to identify abnormal patterns or sudden changes. If any unusual activity is detected, the system triggers an alert that notifies local authorities ,communities. This early warning gives enough time to evacuate and take precautionary measures. Past GLOFs in Uttarakhand and Sikkim have led to the loss of lives, destruction of critical infrastructure. These events demonstrate the need for robust monitoring systems and timely disaster management strategies. As climate change continues to affect glacial behavior, the use of advanced technologies and innovative solutions becomes crucial for preventing future disasters. Research is to develop more accurate sensors and predictive models to stay of these catastrophic events.