Key Features

Selenium AI Call is packed with advanced features to ensure secure, high-quality, and user-friendly communication. Below is a detailed breakdown of its core functionalities.

Hybrid Encryption

Selenium AI Call employs a multi-layered encryption strategy to protect user data:

• End-to-End (E2E) Encryption (Signal Protocol): Ensures that only the intended recipients can access call content, with Perfect Forward Secrecy to protect past sessions if keys are compromised.

• Post-Quantum (PQ3) Encryption: Uses the CRYSTALS-Kyber algorithm to safeguard against future quantum computing attacks, ensuring long-term security.

• ZRTP for Audio/Video Calls: Implements dynamic key sharing during calls to enhance security without relying on pre-shared keys.

AI Core for Audio Processing

The application leverages on-device AI to enhance audio quality and usability:

• Noise Reduction: Utilizes RNNoise, a neural network-based model, to suppress background noise (e.g., construction, wind, crowds), ensuring clear audio in challenging environments.

• Echo Suppression: Combines adaptive filters and deep learning to eliminate echo, improving call clarity.

• Autotranslation: Integrates OpenAI's Whisper model for real-time speech translation across 30+ languages, enabling seamless multilingual communication.

• Voice Correction: AI algorithms remove stutters and fill pauses, creating smooth and professional dialogue.

Deepfake Protection

To combat impersonation and fraud, Selenium AI Call includes robust anti-deepfake measures:

• DeepFake Detector: A neural network analyzes video streams for artifacts, such as unnatural facial expressions or lip movement anomalies, to identify deepfakes.

• Digital Watermarks: Embeds hidden markers in audio and video streams for authentication, ensuring content integrity.

• Biometric Authentication: Verifies user identity through voice and facial analysis at login, preventing unauthorized access.