MOSIP Research Platform - Integrating Anomaly Detection Prototypes into Centralized ID Systems

This course aims to teach learners how to integrate anomaly detection prototypes into centralized ID systems. The learning outcomes include understanding the concept of anomalies, applying anomaly detection using autoencoders, and integrating research prototypes into the MOSIP architecture. The course covers skills such as testing on credit card data, visualizing models in 2D, and simulating pre-registration sessions. The teaching method involves demonstrations and presentations. The intended audience for this course is individuals interested in digital identity systems and fraud detection technologies.