LoanGuard is a project aimed to develop an application that predicts loan default risks and optimizes credit limits using advanced machine learning. The project involves collecting and preprocessing financial data to ensure quality, training models like Logistic Regression, Random Forest, and XGBoost, and evaluating them using metrics like accuracy, precision, and AUC-ROC. The best model will be deployed in a Streamlit app, offering real-time risk assessments to help lenders make informed decisions. LoanGuard aims to enhance financial decision-making by leveraging advanced analytics and structured data.