Context-Aware Geo Spatial Data Retrieval and Recommendation System.

Abstract

Geospatial data retrieval plays$a crucial role in modern location-based services;however, existing platforms like Google$Maps often fall short when processing long or descriptiveuser prompts. This research addresses this limitation$by introducing an intelligent retrievalsystem powered by Natural Language Processing$(NLP) and Large Language Models (LLMs).The proposed approach enables accurate location suggestions by understanding complex naturallanguage queries, thereby enhancing the user experience in geospatial search applications. Byleveraging contextual understanding and semantic search capabilities, the system can interpretuser intent more effectively. Additionally, it offers dynamic, context-aware recommendationstailored to specific user preferences and situational needs.