Exploring Geospatial Mapping through Speech Commands

The integration of voice assistant technology into geospatial data visualization and processing platforms enhances accessibility and user interactivity. Traditional GIS tools often present challenges for non-technical users due to complex interfaces and terminologies. This study addresses these limitations by developing a voice-enabled web-based application capable of understanding domain-specific commands for seamless geospatial data interaction. The proposed system processes voice inputs for tasks such as navigating to specific coordinates, toggling WMS layers, and overlaying geospatial data. A custom Natural Language Processing (NLP) model was designed to interpret geospatial terminologies like “LULC” and “AWiFS”, using curated datasets sourced from platforms such as Bhuvan, Bhoonidhi, and open-access WMS services. The prototype was built using open-source technologies, including Flask for backend processing, OpenLayers for map visualization, and the Web Speech API for voice recognition. Testing on real-world queries achieved $\mathbf{9 3 \%}$ accuracy in converting voice commands into actionable outputs like layer management and map navigation. The results demonstrate the system’s ability to reduce cognitive load while enabling natural interaction with geospatial data. This research provides a scalable solution for enhancing GIS usability, paving the way for more intuitive, accessible, and interactive geospatial tools.