Prediction of LOS NLOS using Machine Learning

Develop a machine learning system to accurately predict LOS and NLOS conditions in wireless networks using signal features (amplitude, frequency, phase, mobility). Analyze data, extract key features, and train XGBoost, Random Forest, and SVM models for high-accuracy classification. Deploy via a Flask web app for predictions to enhance wireless communication reliability and performance.