Moodify AI App

Moodify AI is an AI-powered web platform that offers personalized music recommendations based on users' mood, listening preferences, and current emotional state. By combining Large Language Models (LLM), natural language processing (NLP)-based semantic analysis, and Spotify API integration, it aims to address the challenges of finding music on digital music platforms (information overload and choice paralysis).

• 💬 Dialogue-Based AI Music Recommendation: A chat interface powered by LLM (Google Gemini / OpenRouter) that performs real-time sentiment analysis and music curation from user messages.

• 🎵 Spotify OAuth 2.0 Integration: User profile linking, permission management, and secure data synchronization with Authorization Code Flow.

• 📻 Browser-Based Audio Streaming: Asynchronous media management for playing and controlling tracks (play/pause/skip) without leaving the browser via Spotify Web Playback SDK integration.

• 🎨 Dynamic GDI+ Cover Design: Synthesizing deterministic (repeatable) abstract album covers (500x500 JPEG) on the server side based on the mood theme analyzed by AI.

• 🔑 JWT-Based Secure Session: Dual-layer authorization infrastructure with short-lived Access Token and long-lived Refresh Token (Refresh Token Rotation - RTR).

• 🛡️ IDOR and Firewall Protection: Data ownership control on all API endpoints (WHERE session_id = @sid AND user_id = @uid), Content Security Policy (CSP) filtering at the Web.config level.

• 🛑 Database-Based Rate Limiting: Dynamic request limiting based on user/IP, ensuring consistency in multi-server environments (10 requests/60 sec for chat, 30 requests/60 sec for deletion).

• 🔍 Traceability (Correlation ID): Assigning an X-Request-Id to each incoming HTTP request, enabling end-to-end tracking of error logs and runtime traces.