MalwareGuard presents an intelligent malware detection system leveraging machine learning to accurately classify files as malicious or benign by analyzing raw byte code and assembly language features. Employing a structured data pipelinespanning data collection, feature engineering, and multiple classifier trainingthe system utilizes algorithms such as k-Nearest Neighbors, Logistic Regression, Random Forest, and XGBoost. Robust evaluation demonstrates high reliability in detecting both known and zero-day malware. Integrated with a scalable dashboard and MLOps deployment, MalwareGuard offers a proactive, adaptable, and cost-effective solution, bridging gaps between conventional antivirus approaches and modern data-driven cybersecurity