Open-source infrastructure and data orchestration platform for risk decisioning

DLIB based facial recognition with liveliness detection.

An attendance monitoring system using face recognition and liveliness detector.

An AI based App checks liveliness.

Text-Independent Voice Authentication and Liveliness Detection system of users

Docker-containerized .Net Core based background worker app that is deployed on Azure Kubernetes Service. It demonstrates how client apps can implement Kubernetes startup (alpha release), readiness, & liveliness probes to achieve self-healing capability.

Automatic attendance marker which differentiate between photographs and real live video.

Exploring kubernetes probes.

🚀 Assess transaction risk in real-time with a high-performance platform leveraging ensemble machine learning models for effective decision-making.