Achieved 78% accuracy by experimenting with Machine Learning algorithm to detect anomalies. Also developed a system in real-time(online fashion) using KAPACITOR-INFLUXDB-GRAFANA DASHBOARD -TICK Script. Detected anomalies in real time by using window technique and achieved 80% accuracy models using state-of-the-art ML/ DL model and visualized them in real-time.