AI (MACHINE LEARNING) APPLICATIONS IN REAL-TIME FRAUD DETECTION: A CASE STUDY ON RAZORPAY FOR PAYMENT GATEWAY AND KYC IN BANK's NBFCS
Adhiita Consultancy ServicesInformation TechnologyProject Objectives:
To analyze the effectiveness of using AI and machine learning algorithms in real-time fraud detection in the banking sector, specifically in payment gateways and KYC processes.
To investigate the capabilities of Razorpay as a payment gateway and KYC provider in preventing fraud using AI technology.
To identify the AI models and techniques used by Razorpay for fraud detection and prevention.
To assess the impact of AI-based fraud detection on the overall security and trustworthiness of the banking system.
Project Tasks:
Conduct a literature review on the use of AI and machine learning in fraud detection in the banking sector.
Collect data on fraud incidents and prevention strategies in payment gateways and KYC processes in banks and NBFCs.
Analyze the AI algorithms and models used by Razorpay for fraud detection and prevention.
Evaluate the effectiveness of AI-based fraud detection in enhancing security and reducing financial losses in banking operations.
Present findings and recommendations for future research and implementation of AI technology in fraud detection in banks and NBFCs.
