Analytics based on Govt. Land Information System (GLIS)

The Geoland Analyzer is an advanced geospatial data analysis platform designed to streamline land data visualization, analysis, and insights generation. This web-based application empowers users to upload geospatial datasets, including files like GeoJSON, CSV, or shapefiles, and visualize them interactively on dynamic maps. The platform provides comprehensive insights into land area distribution, vegetation coverage, population density, and environmental patterns. By integrating geospatial technologies with machine learning algorithms, Geoland Analyzer helps in analyzing land data for various applications such as urban planning, environmental research, and land resource management. The system is developed using Next.js as the core frontend framework, along with TypeScript for scalability and Tailwind CSS for modern user interface design. The interactive map feature is powered by Mapbox or Leaflet API, enabling users to explore and interact with geospatial data points. Geoland Analyzer offers various analysis features, including land area measurement, terrain classification, and distance estimation. The built-in API system allows users to upload geospatial files, which are processed on the backend to extract critical land-based insights. With a user-friendly interface and responsive design, the platform makes geospatial data analysis accessible to users without requiring technical expertise. The visualizations are accompanied by customizable charts, enhancing the understanding of data patterns. This project aims to simplify the complex process of geospatial analysis by providing a seamless, automated, and interactive solution. The combination of modern web technologies and geospatial