IIT Mandi researchers have developed an early warning system intended to forecast landslide risk in the Indian Himalayas. The system uses rainfall information alongside machine-learning methods to estimate the likelihood of slope failures. It produces daily warning outputs, which authorities can access through a web-based platform. According to the reports, the platform is designed to support decision-making for disaster preparedness by providing advance alerts about potentially hazardous areas. The coverage described by the sources spans the entire Indian Himalayan Region, aiming to offer broad applicability rather than limited local coverage. The initiative is presented as a step toward reducing damage and losses by improving the timeliness of warnings for landslide-prone locations. While the sources focus on the system’s design and intended use, they do not provide further details on validation results, deployment timeline, or specific performance metrics.