• Project Documentation: Project Base

Project aims to leverage GIS, machine learning, and historical data analysis to automate the identification of cities in given snapshots and assess their environmental changes over time. The system will use machine learning models to recognize cities, retrieve historical data, and perform spatial analysis to compare current and past land use, population, and forestation levels. The project will calculate the environmental impact of changes, generate error reports, and suggest zoning plans for tree planting to improve forestation. The interactive visualization component allows users to explore city data, view historical trends, and understand the implications of urban development on the environment. This project seeks to provide valuable insights for sustainable urban planning and environmental conservation.