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  • Backend
  • Frontend
  • Security Measures
  • Scalability and Reliability
  1. Selenium AI Meetings

Architecture and security

The application is structured into backend and frontend components, with performance-critical tasks handled in Rust and C++ for speed and safety, and high-level logic in Python and TypeScript for flexibility.

Backend

  • Python: Orchestrates application logic, Matrix protocol integration, and AI model execution (e.g., Whisper for translation). Uses pyo3 and ctypes for Rust and C++ bindings.

  • Rust: Handles encryption (Signal Protocol, CRYSTALS-Kyber, AES-256-GCM), WebRTC peer connections, and session management with Tor for anonymous sessions.

  • C++: Implements low-level audio processing (noise reduction, echo suppression, voice correction) and deepfake detection using RNNoise and OpenCV.

  • Components:

    • Core: Manages sessions, WebRTC, and configuration.

    • Encryption: Implements hybrid encryption and watermarking.

    • AI: Processes audio and video with on-device AI models.

    • Security: Handles biometric authentication and SOS broadcasts.

Frontend

  • TypeScript/React: Provides a responsive UI with components for calls, chats, settings, and SOS features.

  • WebRTC Hooks: Manage low-latency audio/video streams.

  • Tailwind CSS: Ensures a modern, consistent design.

Security Measures

Selenium AI Call prioritizes security through the following mechanisms:

  • Local Rendering: All AI processing (audio, translation, deepfake detection) occurs on-device, minimizing data exposure to servers.

  • Anonymous Sessions (Ghost Mode): Uses one-time identifiers and Tor-based routing to prevent tracking.

  • Hybrid Encryption:

    • Signal Protocol for E2E encryption with Perfect Forward Secrecy.

    • CRYSTALS-Kyber for post-quantum security.

    • ZRTP for dynamic key sharing during calls.

  • Attachment Encryption: Automatically encrypts photos and documents using AES-256-GCM.

  • Self-Destructing Messages: Messages are deleted if a screenshot is attempted, protecting sensitive content.

  • Biometric Authentication: Voice and facial analysis verify user identity at login.

  • Digital Watermarks: Ensure audio/video authenticity, preventing tampering.

Scalability and Reliability

  • WebRTC Modifications: Achieve <100ms latency for real-time communication.

  • Matrix Protocol: Enables interoperability with other messengers (e.g., Signal, Telegram).

  • Modular Design: Facilitates updates and community contributions.

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Last updated 1 month ago