A system for identifying road connectivity needs in hilly Chhattisgarh using geographic data and machine learning.
This project addresses road connectivity challenges in rural, hilly regions of Chhattisgarh, India, where difficult terrain and underdeveloped infrastructure limit access to essential services like healthcare and trade. By leveraging geographic data (DEM) and economic factors like population density and traffic load, the system aims to optimize road planning and upgrades in a cost-effective, data-driven way, enhancing the region's economic growth.
The system analyzes terrain conditions to identify areas where steep slopes or barriers make road construction necessary, while also considering economic and social factors to prioritize regions in need of improved connectivity. Machine learning algorithms predict where new roads are needed or existing roads require upgrades based on terrain difficulty, road wear, and traffic demand.