About

Welcome to the official documentation for Selenium AI Call, a secure, AI-powered calling application designed for privacy, performance, and advanced communication features. This documentation provides a comprehensive guide to understanding, using, and contributing to the project. Selenium AI Call is an open-source, secure communication platform designed to provide end-to-end encrypted audio and video calls with advanced AI-powered features. Built to address modern privacy and security concerns, it combines hybrid encryption, on-device AI processing, and seamless integration with existing messaging protocols to deliver a robust solution for personal and professional communication.

Purpose

The primary goal of Selenium AI Call is to offer a privacy-first communication tool that leverages cutting-edge technologies to enhance user experience without compromising security. It caters to individuals, businesses, and organizations seeking secure, high-quality calls with features like real-time translation, noise suppression, and deepfake protection.

Vision

To redefine secure communication by integrating AI and cryptography in a user-friendly, open-source package that empowers users to communicate confidently in any environment, from noisy public spaces to sensitive corporate meetings.

Key Components

• Hybrid Encryption: Combines Signal Protocol, post-quantum CRYSTALS-Kyber, and ZRTP for robust security.

• AI Core: On-device processing for noise reduction, translation, and voice correction.

• Privacy Features: Anonymous sessions, self-destructing messages, and biometric authentication.

• Interoperability: Supports WebRTC for low-latency calls and Matrix protocol for cross-platform messaging.

Open-Source Commitment

Selenium AI Call is fully open-source, with critical components like the encryption kernel and deepfake detector available for public auditing on GitHub. We encourage community contributions to enhance features and security.