Sound Intelligence with Audio Identification and Recognition using Vector Embeddings via Twilio WhatsApp

This application leverages voice analysis and natural language processing to enable intelligent music discovery through WhatsApp. It analyzes audio messages using librosa to extract five key voice characteristics: pitch stability, voice texture, speech rhythm, vocal resonance, and articulation clarity. The system combines acoustic analysis with GPT-4 for generating contextual music recommendations, providing users with personalized song suggestions based on both their voice characteristics and the content of their messages. Each recommendation includes the song name, artist, reasoning for the match, and platform links. The architecture demonstrates the practical application of multi-modal and multilingual AI in consumer applications, particularly in the context of voice-based music discovery through messaging platforms.