About this project
What it does: Analyzes song lyrics section by section, checking syllable consistency, word density, rhyme scheme (including slant rhymes), stress-pattern regularity, and breathing room for a singer — then has the AI actively rewrite any flagged lines while staying true to the song's meaning and tone. Who it's for: Songwriters, lyricists, and anyone using AI as a creative writing partner who wants to know their lyrics will actually scan and rhyme correctly — not just look good on paper. What makes it special: Most AI songwriting tools guess at rhythm and rhyme from language patterns alone, since LLMs process text as tokens, not sound. LyricMood is built on the real CMU Pronouncing Dictionary instead — the same dictionary used in speech research — so every syllable count and every rhyme match is a verified fact, not a statistical guess. Even the AI's creative rewrites are held to that same standard: it's instructed to re-check its own suggestions before calling them done.
Open Innovation track
Solve any real-world problem with AI, regardless of industry or domain.