IIT Delhi Develops AI Tool to Predict Landslide Risks in Hilly Areas

IIT Delhi is pioneering an AI tool designed to detect landslide threats and identify high-risk areas in mountainous regions. Funded by the Defence Research and Development Organisation (DRDO), this initiative aims to enhance disaster management strategies by providing interactive maps and dashboards. The tool will analyze various geographical factors to pinpoint vulnerable zones, enabling authorities to prepare effectively for potential landslides. With an open call for collaboration from industries and startups, IIT Delhi seeks to develop this innovative technology to improve safety and response measures in hilly terrains.

By Ambika Singh Nov 2, 2026, 13:05 IST

Introduction to AI in Landslide Detection

Artificial Intelligence (AI) technologies are set to play a crucial role in identifying landslide threats and pinpointing high-risk areas in mountainous regions. The Indian Institute of Technology (IIT) Delhi is spearheading the development of an AI-based tool aimed at mapping regions prone to landslides and evaluating the associated risks.

Project Overview and Funding

This initiative will empower disaster management agencies and local administrations to proactively prepare for and reduce potential damages. The project is backed by funding from the Defence Research and Development Organisation (DRDO) and will be managed at IIT Delhi.

Call for Collaboration

IIT Delhi has issued an 'Expression of Interest' (EoI) to invite proposals from industries and startups for the design and development of this innovative tool. The institute will act as the primary institution and lead investigator, while the chosen industry partner or startup will collaborate as a co-principal investigator, aiding in the technology's development and execution.

Features of the AI Tool

**Interactive Mapping and Dashboards**
The platform will amalgamate data from diverse sources and AI models, showcasing it through user-friendly interactive maps and dashboards. Users will have the capability to access information regarding high-risk zones and generate necessary reports. Moreover, the tool will incorporate a system to monitor the data analysis process, ensuring a structured workflow and enhancing the clarity of results.

Enhancing Disaster Management Strategies

**Understanding Landslide Risks**
The likelihood of landslides is influenced by various factors such as slope gradients, soil types, and regional geographical features. By examining data related to these elements, the proposed AI tool will assist in identifying areas that are particularly vulnerable to landslides. This information will be invaluable for authorities in deciding where to enhance monitoring, issue warnings, and execute rescue operations. Additionally, having detailed knowledge of high-risk zones will facilitate better planning for relief and rescue efforts.