Malik Danial Ahmed@danial

This project leverages machine learning to optimize TVWS base station locations using datasets on schools, towers, demographics, elevation, and spectrum. The dashboard provides key insights, including predicted interference, failure risks, and AI-driven recommendations to enhance network performance. A dedicated Potential Location page simulates TVWS availability on an interactive map, identifying optimal base station placements based on factors like population density and elevation. Additionally, a Procurement page, currently in progress, will track infrastructure and equipment acquisition for future deployments. By integrating historical data and predictive analytics, this system enables proactive decision-making to improve TVWS coverage and reliability.