The project involves comparative study, implementation and analyses of various anomaly detection algorithms. The desired goal is to build a hardware (FPGA module) that runs an algorithm designed to detect anomalies on data streams. A typical use case of this project is to generate real-time alerts.
Other Members: Ativ Joshi, Pratik Padalia
Keywords: Data Science: Cloud Computing, Data Analytics and Machine Learning