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April 1, 2026International Journal of Innovative Research in Technology0 citationsOpen Access

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

UMUmamaheswararao Mogili

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

Explore the article titled Real-Time Credit Card Fraud Detection Using Machine Learning With Interactive Web Dashboard from IJIRT Volume 12, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Umamaheswararao Mogili (2026) studied this question.

synapsesocial.com/papers/69ccb5d116edfba7beb87820https://doi.org/10.64643/ijirtv12i11-195537-459
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