Real-Time Credit Card Fraud Detection Using Machine Learning With Interactive Web Dashboard

Key Points

• The aim is to assess the use of machine learning for real-time credit card fraud detection.
• Utilized machine learning algorithms to identify fraudulent transactions.
• Developed an interactive web dashboard for immediate visualization of results.
• Evaluated detection accuracy and user engagement levels.
• Achieved high accuracy rates in fraud detection.
• The interactive dashboard improved user experience and response times.
• Machine learning demonstrated significant potential for enhancing fraud prevention.

Abstract