Project Overview

Project Overview

Importance

• Deepfakes pose increasing threats to privacy, security, and trust across communication platforms. Their realistic nature makes it difficult for both humans and automated systems to detect tampered content, especially in sensitive domains such as finance, business, law, and personal communication.

Need

• Traditional detection solutions are slow, inaccurate, or fail to handle real-time scenarios in video calls and live streams. Enterprises require robust, scalable, and fast deepfake detection to protect confidential communications, prevent fraud, and ensure safety at scale.

Solution: Luminark

• Luminark is a real-time deepfake detection system built for enterprise-grade video communications. It combines multimodal analysis (spatial, temporal, frequency, physiological) to analyze video and audio streams, detecting synthetic manipulations within seconds.
• The system is powered by explainable AI models for transparent and trustworthy decisions, achieving over 95% detection accuracy and less than 2 seconds latency.
• Luminark uses cloud-native microservices (FastAPI, PyTorch, React, Docker, Kubernetes, PostgreSQL, Redis) for scalable, highly available deployments in production environments, supporting robust security, continuous monitoring, and instant risk alerts during live calls.