GeoSpatial Conversational Agents Empowering Rural and Urban Sustainability in India

Abstract. India's diverse landscape and complex socio-economic challenges necessitate innovative solutions for sustainable development. Geospatial technologies offer a powerful tool to address these challenges by providing accurate, timely, and actionable information. This paper proposes a framework for developing Geospatial Conversational Agents tailored to India's specific needs, by integrating generative AI with geospatial analysis.

By leveraging advanced technologies such as artificial intelligence (AI) and large language models (LLMs), integrated into agentic workflows that are grounded in geospatial data, these Geospatial Conversational Agents aims to empower users with geospatial insights to support sustainable decision-making. Further, by integrating natural language processing (NLP) techniques, enables to understand and respond to user queries in both text and voice formats, in their regional languages. This accessibility will enable a broader range of users, including policymakers, researchers, and the general public, to harness the power of geospatial data to make informed decisions and contribute to sustainable development goals.

The framework is capable of addressing a wide range of geospatial queries, including water resource management, snow covers, urban planning, etc. It processes satellite data from platforms like Sentinel and Bhuvan to provide real-time information. For instance, it can estimate water levels in reservoirs like Hirakud, analyze crop health, or predict flood-prone areas. This initiative aligns with several Sustainable Development Goals (SDGs), including clean water and sanitation, sustainable cities and communities, and climate action. By providing timely and accurate geospatial information, the ChatBot (Geospatial Conversational Agents) can support evidence-based decision-making and contribute to India's sustainable development goals.