hoangsonww

Moodify System Architecture Documentation

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SOURCE https://github.com/hoangsonww/Moodify-Emotion-Music-App

Description

**Version:** 1.0 **Last Updated:** 2025-10-07 **Author:** Son Nguyen

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

Repository README

This is the README for hoangsonww/Moodify-Emotion-Music-App, shared by 3 entries in this directory. It describes the repository, not this entry specifically.

Moodify System Architecture Documentation

**Version:** 1.0 **Last Updated:** 2025-10-07 **Author:** Son Nguyen

Table of Contents

1. Executive Summary
2. System Overview
3. Architecture Principles
4. High-Level Architecture
5. Component Architecture
6. Data Architecture
7. Security Architecture
8. Deployment Architecture
9. Scalability and Performance
10. Disaster Recovery
11. Monitoring and Observability
12. Technology Stack

1. Executive Summary

Moodify is a sophisticated emotion-based music recommendation system that combines modern web technologies, advanced AI/ML models, and cloud infrastructure to deliver personalized music experiences. The system analyzes user emotions through three modalities (text, speech, and facial expressions) and provides curated music recommendations via Spotify integration.

Key Capabilities

Multi-Modal Emotion Detection: Text, speech, and facial expression analysis
Real-Time Processing: Sub-second response times for emotion detection
Scalable Architecture: Containerized microservices with horizontal scaling
High Availability: 99.9% uptime through redundancy and load balancing
Security-First Design: JWT authentication, encrypted communications, rate limiting

2. System Overview

System Context

C4Context
    title System Context Diagram - Moodify Platform

    Person(user, "End User", "Uses Moodify to get music recommendations based on emotions")
    Person(admin, "Administrator", "Manages system, monitors performance")

    System(moodify, "Moodify Platform", "Emotion-based music recommendation system")

    System_Ext(spotify, "Spotify API", "Music streaming service")
    System_Ext(mongodb, "MongoDB Atlas", "Cloud database")
    System_Ext(redis, "Redis Cloud", "Caching layer")

    Rel(user, moodify, "Uses", "HTTPS")
    Rel(admin, moodify, "Manages", "HTTPS")
    Rel(moodify, spotify, "Fetches music", "REST API")
    Rel(moodify, mongodb, "Stores data", "MongoDB Protocol")
    Rel(moodify, redis, "Caches data", "Redis Protocol")

System Boundaries

**In Scope**:
- Frontend web application (React)
- Mobile application (React Native)
- Backend API services (Django REST Framework)
- AI/ML services (Flask, PyTorch, TensorFlow)
- Data analytics pipeline (Spark, Hadoop)
- Infrastructure orchestration (Kubernetes, Docker)
**Out of Scope**:
- Music playback functionality (delegated to Spotify)
- Music content creation
- Payment processing
- Email/SMS notification services

3. Architecture Principles

Design Principles

Modularity: Loosely coupled services