*Built a real-time cybersecurity detection platform to identify credential stuffing attacks using training the model to allow behavioral login analysis and anomaly detection. *Implemented an Isolation Forest machine learning model to detect abnormal authentication patterns based on login velocity, failure ratios, bot scores, and device concurrency. *Developed a FastAPI backend service to process login events and classify threats into LOW / MEDIUM / HIGH risk, triggering automated security actions (Allow, OTP verification, Block login). *Designed an interactive Streamlit security dashboard to visualize attack risk, behavioral metrics, and threat analytics using Plotly graphs.