E-Kyc with Fraud Detection

E-Kyc with Fraud Detection

Author Name : Dr. Prabha R, Mehul S V, Aman K, Prajwal P R, Yashwanth G

ABSTRACT The eKYC system revolutionizes traditional Know Your Customer processes by integrating advanced technologies such as machine learning, computer vision, and intuitive interfaces. It ensures robust user verification through liveness detection, analyzing facial micro-movements, depth perception, and dynamic challenges to confirm the presence of live users and mitigate impersonation risks. Real-time anomaly detection strengthens fraud prevention by identifying inconsistencies in user data and behavior. The system's modular architecture, with a React.js frontend and Node.js backend, enables efficient data processing and seamless user interaction. Its user-centric design includes step-by-step guidance, multilingual support, and accessibility features, ensuring inclusivity and high user satisfaction. Designed for scalability, the eKYC solution supports advanced biometrics, dynamic feature selection, and multi-industry deployment. By addressing the limitations of traditional KYC, this system enhances trust, ensures regulatory compliance, and delivers operational efficiency, making it an indispensable tool for organizations in a digital-first world.