• Miss. Sayalee S. Bodade
• Prof. P.P. Pawade

The UPI fraud detection system are to enhance the security and reliability of digital payment transactions, ultimately safeguarding users from fraudulent activities. Firstly, the paper aims to employ advanced machine learning algorithms and data analytics to analyze transaction patterns and detect anomalies that may indicate potential fraud. Secondly, it seeks to develop a robust system that can identify and mitigate various types of UPI fraud, including phishing, identity theft, and unauthorized transactions. The paper also aims to create a real-time monitoring mechanism to promptly identify suspicious activities and trigger alerts for immediate intervention.

Clustering Algorithms, Taxonomy of Clustering Algorithms, Challenges in Clustering Algorithms

"Implementation Paper on UPI Fraud Detection using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.c947-c954, April-2024, Available :http://www.jetir.org/papers/JETIR2404299.pdf

"Implementation Paper on UPI Fraud Detection using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppc947-c954, April-2024, Available at : http://www.jetir.org/papers/JETIR2404299.pdf