Vedant Asati

Undergraduate student driven by curiosity, experimenting with ideas and building practical solutions that work.

Aurras

Advanced audio platform with modular plugin architecture, real-time streaming, and dynamic configuration - demonstrating enterprise-level Python development and system design patterns.

View Source Live Demo
Technologies:
python mpv asyncio pydantic sqlite
Tags:
python plugin-architecture real-time-processing system-design concurrent-programming

Aurras: Advanced Audio Platform

A sophisticated terminal-based music platform showcasing enterprise software engineering principles, modular plugin architecture, and real-time data processing capabilities.

Technical Highlights

Plugin Architecture

  • Dynamic plugin loading with sandboxed execution
  • Service registry pattern for extensible component management
  • Hot-reload capability without system restart
  • Permission-based access control for plugins

Real-Time Processing

  • High-performance audio streaming pipeline with buffering optimization
  • Concurrent search operations with intelligent throttling
  • Event-driven architecture with configurable optimization
  • Background processing of streaming data with priority handling

Advanced Configuration

  • Hierarchical settings with inheritance and override capabilities
  • Pydantic-based type-safe configuration with runtime validation
  • Dynamic model registration for plugin-specific settings
  • Atomic configuration updates with rollback support

Dynamic UI System

  • Runtime theme switching without application restart
  • Algorithmic color transformations and gradient generation
  • Dual CLI/TUI interfaces with shared business logic
  • Context-aware component rendering

Architecture

Industry Applications

System Design: Modular architecture patterns applicable to microservices and distributed systems

Concurrent Programming: Async/await patterns, thread pool management, and producer-consumer queues

API Integration: OAuth 2.0 implementation, rate limiting, and multi-source data aggregation

Performance Optimization: Caching strategies, memory management, and resource cleanup patterns

Research Applications

Streaming Data Analysis: Real-time sensor data processing, buffering strategies, and performance optimization

Plugin Security: Secure code execution in multi-tenant environments and dynamic system reconfiguration

Human-Computer Interaction: Adaptive interface design and context-aware user experience

Key Metrics

  • 25,000+ LOC with 85%+ test coverage
  • <200ms search latency for single queries
  • <50ms theme switching with complete UI reconfiguration
  • Cross-platform compatibility (Linux, macOS, Windows)

Installation & Demo

# via pip
pip install aurras

# Quick demo
aurras "bohemian rhapsody"
aurras theme ocean
aurras setup --spotify --status

Built with Python, demonstrating advanced software engineering practices including factory patterns, observer patterns, dependency injection, and service-oriented architecture.