Muhammad Khaqan Nasir@khaqannasir

BandOptimizer is an innovative AI/ML-powered web application designed to optimize bandwidth usage for public sector schools and hospitals. Built with Streamlit, the app provides administrators with actionable insights by analyzing uploaded CSV files containing network data. With the power of predictive analytics, bandOptimizer categorizes bandwidth usage patterns, helping organizations manage resources more efficiently and reduce costs. The app features an intuitive interface, making it accessible for non-technical users, and includes sample datasets to ensure ease of testing. By leveraging modern technologies like Python, Pandas, and Matplotlib, bandOptimizer empowers users to make data-driven decisions for improving network performance and optimizing resource allocation.