AI-Driven Real-Time Fraud Detection System

By Zafri Categories: Software Development
Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

  • Tech Stack: Python (TensorFlow, Scikit-learn), Kafka, Flink, Apache Cassandra, Flask, React.js, GCP (BigQuery, Cloud Functions)
  • Objective: Develop a real-time fraud detection system for financial transactions, using machine learning models. The system will process streaming data through Kafka and perform real-time analytics using Flink. The backend will serve fraud alerts, while the frontend visualizes risk scores.
  • Skills Needed: Machine learning model building, streaming data, Kafka, distributed computing, cloud storage (BigQuery), and real-time processing.

Student Ratings & Reviews

No Review Yet
No Review Yet