MixMate

Inspiration

MixMate was inspired by our experience in live sound engineering. Spending hours mixing live performances, we often encountered recurring challenges: feedback, inaudible singers, harsh frequencies, and the pressure of keeping audiences engaged. Existing tools provided either raw visualisation or basic analysis, leaving a gap for actionable, intelligent guidance. MixMate was built to fill this gap, combining audio analysis with AI-driven insights and intermission music generation. What It Does MixMate empowers live audio engineers by providing: Real-Time Audio Analysis - Visualise and monitor every frequency band during live shows or with prerecorded tracks. Raw Mix Insights - Identify muddiness, harsh highs, and tonal imbalances, giving a clear overview of the mix. AI-Powered Recommendations - Claude analyses the audio and generates precise EQ, compression, and mix adjustment suggestions tailored to the venue and setup. Intermission Music Generation - Suno creates seamless, vibe-matched instrumental tracks inspired by the previous track, keeping audiences engaged between sets. How We Built It Audio Engine & Analysis: AVAudioEngine with FFT-based feature extraction to deliver live and offline audio analysis with minimal latency. AI Integration: Structured prompts for Claude and Suno to produce recommendations and musical intermission tracks. User Interface: Built in SwiftUI, the dashboard displays frequency spectra, detected issues, AI insights, and generated prompts intuitively. Accomplishments Developed a robust real-time audio analyser capable of functioning in live venues of all sizes, and across various music genres. Created a reliable Claude prompt system for actionable mix recommendations. Integrated Suno intermission music generation directly into the app workflow. Integrated Suno intermission music generation directly into the app workflow. Designed a unified dashboard that displays the Real-Time Analyser, AI insights, and generated music prompts in one place. What's Next! Expanding AI recommendations to support complex multi-instrument setups. Developing venue-adaptive recommendations, adjusting based on acoustics and audience size. Offering customisable intermission music styles, including genre, tempo, and mood options. Conducting more in-depth music analysis to confirm the key, genre, and tempo of each input. Launching cross-platform support for macOS, Android, and integration with live sound consoles (DiGiCo, Yamaha, Allen & Heath).