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Projects
AI / Machine Learning 2024 SecureID Labs

AI Vocal Expert

An AI-powered speech and face authentication system — combining vocal biometrics, liveness detection, and real-time risk scoring for enterprise security.

Category
AI / Machine Learning
Client
SecureID Labs
Year
2024
Tech Stack
8 technologies
<350ms
Latency
0.01%
FAR
99.4%
Accuracy
200K+
Daily Auths

Overview

AI Vocal Expert is a biometric authentication platform that uses a combination of voiceprint analysis and facial recognition to provide multi-factor, liveness-verified access control.

The system processes audio and video streams in real time, extracts deep neural embeddings, and compares them against stored templates — delivering a fraud score in under 350ms with a false-acceptance rate below 0.01%.

The Challenge

Traditional password and OTP systems were failing against sophisticated phishing attacks. The client needed a frictionless yet ironclad authentication method that worked across devices and poor network conditions.

Our Solution

We trained a custom transformer-based speaker verification model on 10,000+ hours of diverse voice data, integrated with a CNN face liveness detector. The WebRTC frontend captures streams at 16kHz for high-accuracy inference even on mobile.

Tech Stack

Python
FastAPI
PyTorch
OpenCV
React
WebRTC
Redis
Docker

The biometric system ASAGUS built reduced our fraud incidents by 97% in the first quarter. It's the most robust auth solution we've ever deployed.

D
Dr. Sarah Chen
CTO · SecureID Labs
AI Vocal Expert screenshot 1
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Project Details
Client
SecureID Labs
Industry
Cybersecurity
Year
2024
Timeline
5 months
Team
6 people
Stack
8 technologies

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