Real-time Credit card Fraud Detection using Spark 2.2

Description :

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Real-time Credit card Fraud Detection is implemented using Spark Kafka and Cassandra. Spark ML Pipeline Stages like String Indexer, One Hot Encoder and Vector Assembler is used for Pre-processing Machine Learning model is created using the Random Forest Algorithm Data balancing is done using K-means Algorithm Integration of Spark Streaming Job with Kafka and Cassandra Exactly-once semantics is achieved using Spark Streaming custom offset management Airflow Automation framework is used to automate Spark Jobs on Spark Standalone Cluster.