LyricMind is an AI-powered cognitive firewall that analyzes song lyrics to protect against unconscious absorption of harmful content. Using customizable frameworks and LLMs, it detects risky patterns and integrates with music players to trigger protective actions when thresholds are exceeded.

Music AI web-based application.

This project merges Natural Language Processing with music generation, using NLP techniques to analyze lyrics and guide the creation of music. It employs sentiment analysis, keyword extraction, and topic modeling, along with Genius and Spotify APIs, to generate music that reflects the emotional depth of the lyrics using the MusicGen model.

My DS experiments with lyrics.

Data exploration of the personality changes over time in the song writing of Coldplay, using Watson Personality Insights. Original sketches by @mcconville

An interactive Streamlit dashboard to analyze Billboard Top 100 songs (2012–2022) by genre, artist, lyrics, and sentiment using data visualization and NLP. Includes filtering, trend analysis, word clouds, sentiment insights, and CSV export.